精华内容
下载资源
问答
  • 2019_CVPR论文分类

    千次阅读 2019-09-27 18:09:04
    2019_CVPR论文分类 文章目录2019_CVPR论文分类一、检测二、分割三、分类与识别四、跟踪五、人脸六、人体姿态估计/手势姿态估计、位姿估计七、行为/动作识别、手势识别八、时序动作检测、视频相关九、Related to ...

    2019_CVPR论文分类

    在这里插入图片描述

    一、检测

    1、Stereo R-CNN based 3D Object Detection for Autonomous Driving
    作者:Peiliang Li, Xiaozhi Chen, Shaojie Shen
    论文链接:https://arxiv.org/abs/1902.09738

    2、Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
    作者:Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese
    论文链接:https://arxiv.org/abs/1902.09630
    论文解读:https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw

    3、ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape 作者:Fabian Manhardt, Wadim Kehl, Adrien Gaidon
    论文链接:https://arxiv.org/abs/1812.02781

    4、Bi-Directional Cascade Network for Perceptual Edge Detection
    作者:Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang
    论文链接:https://arxiv.org/abs/1902.10903
    Github源码:https://github.com/pkuCactus/BDCN

    5、RepMet: Representative-based metric learning for classification and one-shot object detection
    作者:Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, Alex M. Bronstein
    论文链接:https://arxiv.org/abs/1806.04728

    6、Region Proposal by Guided Anchoring
    作者:Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin
    论文链接:https://arxiv.org/abs/1901.03278
    论文解读:https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9_c-SH4g
    Github链接:https://github.com/open-mmlab/mmdetection

    7、Less is More: Learning Highlight Detection from Video Duration
    作者:Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman
    论文链接:https://arxiv.org/abs/1903.00859

    8、AIRD: Adversarial Learning Framework for Image Repurposing Detection
    作者:Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan
    论文链接:https://arxiv.org/abs/1903.00788

    9、Feature Selective Anchor-Free Module for Single-Shot Object Detection
    作者:Chenchen Zhu, Yihui He, Marios Savvides
    论文链接:https://arxiv.org/abs/1903.00621
    论文解读:CVPR2019 | FSAF:来自CMU的Single-Shot目标检测算法
    一作直播:CVPR2019 专题直播 | CMU 诸宸辰:基于 Anchor-free 特征选择模块的单阶目标检测

    10、Learning Attraction Field Representation for Robust Line Segment Detection
    作者:Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
    论文链接:https://arxiv.org/abs/1812.02122
    代码链接:https://github.com/cherubicXN/afm_cvpr2019

    11、Latent Space Autoregression for Novelty Detection
    作者:Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
    论文链接:https://arxiv.org/abs/1807.01653
    代码链接: https://github.com/aimagelab/novelty-detection

    12、Strong-Weak Distribution Alignment for Adaptive Object Detection
    作者:Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
    论文链接:https://arxiv.org/abs/1812.04798

    13、Few-shot Adaptive Faster R-CNN
    作者:Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng
    论文链接:https://arxiv.org/abs/1903.09372

    14、Attention Based Glaucoma Detection: A Large-scale Database and CNN Model
    作者:Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu
    论文链接:https://arxiv.org/abs/1903.10831

    15、Bounding Box Regression with Uncertainty for Accurate Object Detection(目标检测边界框回归损失算法)
    作者:Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang
    论文链接:https://arxiv.org/abs/1809.08545
    代码链接:https://github.com/yihui-he/KL-Loss

    16、Precise Detection in Densely Packed Scenes
    作者:Eran Goldman , Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner
    论文链接:https://arxiv.org/abs/1904.00853

    17、Activity Driven Weakly Supervised Object Detection
    作者:Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan
    论文链接:https://arxiv.org/pdf/1904.01665.pdf

    18、Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
    作者:Jason Ku, Alex D. Pon, Steven L. Waslander
    论文链接:https://arxiv.org/pdf/1904.01690.pdf

    19、Libra R-CNN: Towards Balanced Learning for Object Detection(目标检测)
    作者:Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin
    论文链接:https://arxiv.org/abs/1904.02701

    20、Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition
    作者:Moein Shakeri, Hong Zhang
    论文链接:https://arxiv.org/abs/1904.03175

    21、Towards Universal Object Detection by Domain Attention
    作者:Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
    论文链接:https://arxiv.org/abs/1904.04402
    项目链接:http://www.svcl.ucsd.edu/projects/universal-detection/

    22、NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
    作者:Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le
    论文链接:https://arxiv.org/abs/1904.07392

    23、Deep Anomaly Detection for Generalized Face Anti-Spoofing
    作者:Daniel Pérez-Cabo, David Jiménez-Cabello, Artur Costa-Pazo, Roberto J. López-Sastre
    论文链接:https://arxiv.org/abs/1904.08241

    24、Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
    作者:Zhe Wu, Li Su, Qingming Huang
    论文链接:https://arxiv.org/abs/1904.08739

    25、A Simple Pooling-Based Design for Real-Time Salient Object Detection
    作者:Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang
    论文链接:https://arxiv.org/abs/1904.09569
    源码链接:http://mmcheng.net/poolnet/

    26、CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection
    作者:Lu Zhang; Huchuan Lu ; Zhe Lin ; Jianming Zhang; You He
    论文链接:https://drive.google.com/open?id=1JcZMHBXEX-7AR1P010OXg_wCCC5HukeZ (需要申请)
    源码链接:https://github.com/zhangludl/code-and-dataset-for-CapSal

    27、Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
    作者:Lijie Liu1, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou
    论文链接:https://arxiv.org/pdf/1904.12681.pdf

    28、A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision
    作者:Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding
    论文链接:待定
    源码链接:https://github.com/JosephineRabbit/MLMSNet

    29、ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch(Oral)
    作者:Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei
    论文链接:https://arxiv.org/abs/1810.08425v3
    源码链接:https://github.com/KimSoybean/ScratchDet
    论文解读:CVPR 2019 Oral | 京东AI研究院提出 ScratchDet:随机初始化训练SSD目标检测器

    30、Pyramid Feature Attention Network for Saliency detection
    作者:Ting Zhao, Xiangqian Wu
    论文链接:https://arxiv.org/abs/1903.00179
    源码链接:https://github.com/CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection

    31、Shifting More Attention to Video Salient Objection Detection(Oral)
    作者:Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen
    论文链接:待定
    源码链接:https://github.com/DengPingFan/DAVSOD

    32、PPGNet: Learning Point-Pair Graph for Line Segment Detection
    作者:Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao
    论文链接:https://arxiv.org/abs/1905.03415
    源码链接:https://github.com/svip-lab/PPGNet

    33、Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
    作者:Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim
    论文链接:https://arxiv.org/abs/1905.05396

    34、Direction-aware Spatial Context Features for Shadow Detection(Oral)
    作者:Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin and Pheng-Ann Heng
    论文链接:待更新
    源码链接:https://github.com/xw-hu/DSC

    35、FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network
    作者:Jonah Philion
    论文链接:https://arxiv.org/abs/1905.04354

    36、An Iterative and Cooperative Top-down and Bottom-up Inference Network for Salient Object Detection(南开大学)
    作者:Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao
    论文链接:http://mftp.mmcheng.net/Papers/19cvprIterativeSOD.pdf

    37、Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection(南开大学)
    作者:Jiaxing Zhao, Yang Cao, Deng-Ping Fan, Xuan-Yi Li, Le Zhang, Ming-Ming Cheng. ( co-first author)
    论文链接:http://dpfan.net/wp-content/uploads/19cvprRrbdSOD-cameraReady.pdf
    项目链接:https://mmcheng.net/rgbdsalpyr/

    38、Bottom-up Object Detection by Grouping Extreme and Center Points
    作者:Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl
    论文链接:https://arxiv.org/abs/1901.08043
    源码链接:https://github.com/xingyizhou/ExtremeNet

    39、Exploring the Bounds of the Utility of Context for Object Detection
    探讨用于物体检测的上下文效用的界限
    作者:Ehud Barnea, Ohad Ben-Shahar
    论文链接:https://arxiv.org/abs/1711.05471v4
    源码链接:https://github.com/EhudBarnea/ContextAnalysis

    二、分割

    1、Attention-guided Unified Network for Panoptic Segmentation
    作者:Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang
    论文链接:https://arxiv.org/abs/1812.03904
    论文解读:https://mp.weixin.qq.com/s/1tohID6SM3weS476XU5okw

    2、FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
    作者:Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen
    论文链接:https://arxiv.org/abs/1902.09513

    3、Associatively Segmenting Instances and Semantics in Point Clouds
    作者:Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia
    论文链接:https://arxiv.org/abs/1902.09852
    代码链接:https://github.com/WXinlong/ASIS

    4、3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
    作者:Ji Hou Angela Dai Matthias Nießner
    论文链接:https://niessnerlab.org/projects/hou20183dsis.html
    YouTube视频:https://youtu.be/IH9rNLD1-JE

    5、Data augmentation using learned transforms for one-shot medical image segmentation
    作者:Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
    论文链接:https://arxiv.org/abs/1902.09383

    6、FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
    作者:Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon
    论文链接:https://arxiv.org/abs/1902.10421

    7、Dual Attention Network for Scene Segmentation
    作者:Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu
    论文链接:https://arxiv.org/abs/1809.02983
    Github源码:https://github.com/junfu1115/DANet

    8、Mask Scoring R-CNN
    作者:Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang
    论文链接:https://arxiv.org/abs/1903.00241
    Github链接:https://github.com/zjhuang22/maskscoring_rcnn
    论文解读:https://mp.weixin.qq.com/s/aP7O7AF6WoynWK_FFHkOTw

    9、Hybrid Task Cascade for Instance Segmentation(实例分割)
    作者:Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin
    论文链接:https://arxiv.org/abs/1901.07518
    论文解读:https://mp.weixin.qq.com/s/xug0xKfc9RgJEUci1a_xog
    Github链接:https://github.com/open-mmlab/mmdetection

    10、Object Counting and Instance Segmentation with Image-level Supervision
    作者:Hisham Cholakkal, Guolei Sun (equal contribution), Fahad Shahbaz Khan, Ling Shao
    论文链接:https://arxiv.org/abs/1903.02494

    11、MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
    作者:Yazan Abu Farha, Juergen Gall
    论文链接:https://arxiv.org/abs/1903.01945

    12、Structured Knowledge Distillation for Semantic Segmentation(语义分割)
    作者:Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang
    论文链接:https://arxiv.org/abs/1903.04197

    13、RVOS: End-to-End Recurrent Network for Video Object Segmentation
    作者:Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto
    论文链接:https://arxiv.org/abs/1903.05612
    项目链接:https://imatge-upc.github.io/rvos/

    14、Structured Knowledge Distillation for Semantic Segmentation(语义分割)
    作者:Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang
    论文链接:https://arxiv.org/abs/1903.04197

    15、Knowledge Adaptation for Efficient Semantic Segmentation(语义分割)
    作者:Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan
    论文链接:https://arxiv.org/abs/1903.04688

    16、Improving Semantic Segmentation via Video Propagation and Label Relaxation(oral)
    作者:Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro
    论文链接:https://arxiv.org/abs/1812.01593

    17、In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
    作者:Marin Oršić, Ivan Krešo, Petra Bevandić, Siniša Šegvić
    论文链接:https://arxiv.org/abs/1903.08469
    代码链接:https://github.com/orsic/swiftnet

    18、Large-scale interactive object segmentation with human annotators
    作者:Rodrigo Benenson, Stefan Popov, Vittorio Ferrari
    论文链接:https://arxiv.org/abs/1903.10830
    BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
    作者:Brent A. Griffin, Jason J. Corso
    论文链接:https://arxiv.org/abs/1903.11779

    19、Pose2Seg: Detection Free Human Instance Segmentation
    作者:Song-Hai Zhang, Ruilong Li, Xin Dong, Paul L. Rosin, Zixi Cai, Han Xi, Dingcheng Yang, Hao-Zhi Huang, Shi-Min Hu
    论文链接:https://arxiv.org/abs/1803.10683
    项目链接:http://www.liruilong.cn/Pose2Seg/index.html
    代码链接:https://github.com/liruilong940607/OCHumanApi

    20、BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
    作者:Brent A. Griffin, Jason J. Corso
    论文链接:https://arxiv.org/abs/1903.11779

    21、JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields(Oral)
    作者:Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
    论文链接:https://arxiv.org/abs/1904.00699
    项目链接:https://pqhieu.github.io/cvpr19.html

    22、Spatiotemporal CNN for Video Object Segmentation
    作者:Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang
    论文链接:https://arxiv.org/abs/1904.02363
    代码链接:https://github.com/longyin880815/STCNN

    23、Data augmentation using learned transformsfor one-shot medical image segmentation
    作者:Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
    论文链接:https://arxiv.org/pdf/1902.09383.pdf
    源码链接:https://github.com/xamyzhao/brainstorm

    24、DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral )
    作者:Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang
    论文链接:http://cvlab.citi.sinica.edu.tw/images/paper/cvpr-hsu19.pdf
    源码链接:https://github.com/KuangJuiHsu/DeepCO3

    25、Cross-Modal Self-Attention Network for Referring Image Segmentation
    作者:Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang
    论文链接:https://arxiv.org/abs/1904.04745

    26、Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations(Oral)
    作者:Jiwoon Ahn, Sunghyun Cho, Suha Kwak
    论文链接:https://arxiv.org/abs/1904.05044

    27、Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
    作者:Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise
    论文链接:https://arxiv.org/abs/1904.06040

    28、A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
    作者:Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu
    论文链接:https://arxiv.org/abs/1904.05730

    29、DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation(旷视)
    作者:Hanchao Li, Pengfei Xiong,Haoqiang Fan,Jian Sun
    论文链接:https://share.weiyun.com/5NgHbWH

    30、Exploiting Computation Power of Blockchain for Biomedical Image Segmentation
    作者:Boyang Li, Changhao Chenli, Xiaowei Xu, Taeho Jung, Yiyu Shi
    论文链接:https://arxiv.org/abs/1904.07349

    31、MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation(Oral)
    作者:Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou
    论文链接:https://arxiv.org/abs/1904.08141

    32、Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
    作者:Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang
    论文链接:https://arxiv.org/abs/1904.08487

    33、Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
    作者:Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim
    论文链接:https://arxiv.org/abs/1904.09791

    34、Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
    作者:Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang
    论文链接:https://arxiv.org/abs/1904.11693

    35、Bidirectional Learning for Domain Adaptation of Semantic Segmentation
    作者:Yunsheng Li, Lu Yuan, Nuno Vasconcelos
    论文链接:https://arxiv.org/abs/1904.10620
    源码链接:https://github.com/liyunsheng13/BDL

    36、Learning Unsupervised Video Primary Object Segmentation through Visual Attention
    作者:Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven Chu Hong Hoi, and Haibin Ling
    论文链接:http://www.dabi.temple.edu/~hbling/publication/UVOS-cvpr19.pdf
    源码链接:https://github.com/wenguanwang/AGS

    37、Elastic Boundary Projection for 3D Medical Image Segmentation
    作者:Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille
    论文链接:https://arxiv.org/abs/1812.00518
    源码链接:https://github.com/twni2016/Elastic-Boundary-Projection

    38、Seamless Scene Segmentation
    作者:Lorenzo Porzi, Samuel Rota Bulò, Aleksander Colovic, Peter Kontschieder
    论文链接:https://arxiv.org/abs/1905.01220

    39、SCOPS: Self-Supervised Co-Part Segmentation
    作者:Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz
    论文链接:https://arxiv.org/abs/1905.01298
    项目链接:https://varunjampani.github.io/scops/

    40、Interactive Full Image Segmentation by Considering All Regions Jointly
    作者:Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari
    论文链接:https://arxiv.org/pdf/1812.01888.pdf

    41、An End-to-End Network for Panoptic Segmentation
    作者:Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang
    论文链接:https://arxiv.org/pdf/1903.05027.pdf

    42、Panoptic Feature Pyramid Networks(Oral)
    作者:Alexander Kirillov, Ross Girshick, Kaiming He, Piotr Dollár
    论文链接:https://arxiv.org/pdf/1901.02446.pdf

    43、Panoptic Segmentation
    作者:Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár
    论文链接:https://arxiv.org/pdf/1801.00868.pdf

    44、DARNet: Deep Active Ray Network for Building Segmentation
    作者:Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun
    论文链接:https://arxiv.org/abs/1905.05889

    45、Amodal Instance Segmentation through KINS Dataset
    作者:Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia
    论文链接:http://jiaya.me/papers/amodel_cvpr19.pdf

    46、DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency Detection(Oral)
    作者:Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang
    论文链接:https://www.csie.ntu.edu.tw/~cyy/publications/papers/Hsu2019DCO.pdf
    源码链接:https://github.com/KuangJuiHsu/DeepCO3

    47、ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
    作者:Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez
    论文链接:https://arxiv.org/abs/1811.12833
    源码链接:https://github.com/valeoai/ADVENT

    48、Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images(Oral)
    作者:Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, and Xiaoning Qian
    论文链接:https://arxiv.org/abs/1905.06368
    源码链接:https://github.com/chenwydj/ultra_high_resolution_segmentation

    49、S4Net: Single Stage Salient-Instance Segmentation(南开大学)
    作者:Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu
    论文链接:http://mftp.mmcheng.net/Papers/19cvprS4Net.pdf
    源码链接:https://github.com/RuochenFan/S4Net
    项目链接:https://mmcheng.net/s4net/

    50、Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation(Oral)
    作者:Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
    论文链接:https://arxiv.org/abs/1901.02985
    源码链接:https://github.com/tensorflow/models/tree/master/research/deeplab

    三、分类与识别

    1、Learning a Deep ConvNet for Multi-label Classification with Partial Labels(分类)
    作者:Thibaut Durand, Nazanin Mehrasa, Greg Mori
    论文链接:https://arxiv.org/abs/1902.09720

    2、Efficient Video Classification Using Fewer Frames
    作者:Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra
    论文链接:https://arxiv.org/abs/1902.10640

    3、Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
    作者:Weifeng Ge, Xiangru Lin, Yizhou Yu
    论文链接:https://arxiv.org/abs/1903.02827

    4、All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification(分类)
    作者:Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu
    论文链接:https://arxiv.org/abs/1903.05285

    5、Bag of Tricks for Image Classification with Convolutional Neural Networks
    作者:Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
    论文链接:https://arxiv.org/abs/1812.01187
    源码链接:https://github.com/dmlc/gluon-cv
    论文解读:图像分类技巧:Bag of Tricks for Image Classification with Convolutional Neural Networks

    6、Direct Object Recognition Without Line-of-Sight Using Optical Coherence(目标识别)
    作者:Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
    论文链接:https://arxiv.org/abs/1903.07705

    7、Direct Object Recognition Without Line-of-Sight Using Optical Coherence(非视距物体识别技术)
    作者:Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
    论文链接:https://arxiv.org/abs/1903.07705

    8、C2AE: Class Conditioned Auto-Encoder for Open-set Recognition(Oral)
    作者:Poojan Oza, Vishal M Patel
    论文链接:https://arxiv.org/abs/1904.01198

    9、Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds(Oral)
    作者:Tiancheng Zhi, Bernardo R. Pires, Martial Hebert and Srinivasa G. Narasimhan
    论文链接:http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/files/ZPHN-CVPR19.pdf
    代码链接:https://github.com/tiancheng-zhi/ms-powder
    项目链接:http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/

    10、Large-Scale Long-Tailed Recognition in an Open World(Oral)
    作者:Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
    论文链接:https://github.com/ofsoundof/3D_Appearance_SR/blob/master/code/scripts/3d_appearance_sr.pdf
    源码链接:https://github.com/zhmiao/OpenLongTailRecognition-OLTR

    11、Multi-Label Image Recognition with Graph Convolutional Networks(多标签图像识别)
    作者:Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo
    论文链接:https://arxiv.org/abs/1904.03582
    源码链接:https://github.com/chenzhaomin123/ML_GCN
    简介:本工作针对多标记识别的核心问题,即“如何有效建模标记间的协同关系”进行探索,提出基于图卷积(GCN)的端到端系统,通过data-driven方式建立标记间有向图(directed graph)并由GCN将类别标记映射(mapping)为对应类别分类器,以此建模类别关系,同时可提升表示学习能力。此外针对GCN中的关键元素correlation matrix进行了深入分析和重设计,使其更胜任多标记问题。

    12、Gait Recognition via Disentangled Representation Learning(Oral 步态识别)
    作者:Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang
    论文链接:https://arxiv.org/abs/1904.04925

    13、Adaptively Connected Neural Networks(分类)
    作者:Guangrun Wang, Keze Wang, Liang Lin
    论文链接:https://arxiv.org/abs/1904.03579
    源码链接:https://github.com/wanggrun/Adaptively-Connected-Neural-Networks

    14、Aggregation Cross-Entropy for Sequence Recognition
    作者:Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie
    论文链接:https://arxiv.org/abs/1904.08364

    15、Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset
    作者:Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
    论文链接:https://arxiv.org/abs/1904.08486

    16、Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
    作者:Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang
    论文链接:https://arxiv.org/abs/1904.08631

    17、Translate-to-Recognize Networks for RGB-D Scene Recognition
    作者:Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu
    论文链接:https://arxiv.org/abs/1904.12254
    源码链接:https://ownstyledu.github.io/Translate-to-Recognize-Networks/

    18、Progressive Ensemble Networks for Zero-Shot Recognition
    作者:Meng Ye, Yuhong Guo
    论文链接:https://arxiv.org/pdf/1805.07473.pdf

    19、Generalized Zero-Shot Recognition based on Visually Semantic Embedding
    作者:Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
    论文链接:https://arxiv.org/pdf/1811.07993.pdf

    四、跟踪

    1、Fast Online Object Tracking and Segmentation: A Unifying Approach(SiamMask,目标跟踪)
    作者:Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr
    论文链接:https://arxiv.org/abs/1812.05050
    Github链接:https://github.com/foolwood/SiamMask
    project链接:http://www.robots.ox.ac.uk/~qwang/SiamMask/
    论文解读:CVPR2019 | SiamMask:视频跟踪最高精度

    2、Deeper and Wider Siamese Networks for Real-Time Visual Tracking(CIR,目标跟踪)
    作者:Zhipeng Zhang, Houwen Peng
    论文链接:https://arxiv.org/pdf/1901.01660.pdf
    Code链接:https://gitlab.com/MSRA_NLPR/deeper_wider_siamese_trackers

    3、SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks(目标跟踪)
    作者:Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan
    论文链接:https://arxiv.org/pdf/1812.11703.pdf
    Project链接:http://bo-li.info/SiamRPN++/
    论文解读:https://mp.weixin.qq.com/s/dB5u2No8eakLnrjto0kvyQ

    4、Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking(CRPN,目标跟踪)
    作者:Heng Fan, Haibin Ling
    论文链接:https://arxiv.org/pdf/1812.06148.pdf

    5、LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking(目标跟踪)
    作者:Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling
    论文链接:https://arxiv.org/pdf/1809.07845.pdf
    project链接:https://cis.temple.edu/lasot/

    6、Leveraging Shape Completion for 3D Siamese Tracking
    作者:Silvio Giancola, Jesus Zarzar, Bernard Ghanem
    论文链接:https://arxiv.org/abs/1903.01784

    7、Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics(多目标跟踪)
    作者:Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit
    论文链接:https://arxiv.org/abs/1812.01157

    8、Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation (POINT^2)
    作者:Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, S. Kevin Zhou
    论文链接:https://arxiv.org/abs/1903.03896

    9、Inverse Path Tracing for Joint Material and Lighting Estimation(Oral)
    作者:Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan
    论文链接:https://arxiv.org/abs/1903.07145

    10、Inverse Path Tracing for Joint Material and Lighting Estimation(Oral)
    作者:Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan
    论文链接:https://arxiv.org/abs/1903.07145

    11、Multi-person Articulated Tracking with Spatial and Temporal Embeddings
    作者:Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian
    论文链接:https://arxiv.org/abs/1903.09214

    12、CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
    作者:Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang
    论文链接:https://arxiv.org/abs/1903.09254

    13、MOTS: Multi-Object Tracking and Segmentation
    作者:Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe
    论文链接:https://arxiv.org/abs/1902.03604

    14、Target-Aware Deep Tracking
    作者:Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang
    论文链接:https://arxiv.org/pdf/1904.01772.pdf

    15、Unsupervised Deep Tracking
    作者:Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li
    论文链接:https://arxiv.org/pdf/1904.01828.pdf

    16、Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry(Oral)
    作者:Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha
    论文链接:https://arxiv.org/abs/1904.01892

    17、SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking(视觉跟踪)
    作者:Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng
    论文链接:https://arxiv.org/abs/1904.04452

    18、Graph Convolutional Tracking
    作者:Junyu Gao,Tianzhu Zhang,Changsheng Xu
    论文链接:http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html

    19、ATOM: Accurate Tracking by Overlap Maximization(Oral,目标跟踪)
    作者:Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg
    论文链接:https://arxiv.org/abs/1811.07628
    源码链接:https://github.com/visionml/pytracking

    20、Visual Tracking via Adaptive Spatially-Regularized Correlation Filters(视觉跟踪)
    作者:Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li
    论文链接:https://pan.baidu.com/s/1sD-w1tHfA5ZwIbrnCtUI2Q
    源码链接:https://github.com/Daikenan/ASRCF

    五、人脸

    1、Disentangled Representation Learning for 3D Face Shape
    作者:Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
    论文链接:https://arxiv.org/abs/1902.05978

    2、Joint Face Detection and Facial Motion Retargeting for Multiple Faces
    作者:Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang
    论文链接:https://arxiv.org/abs/1902.10744

    3、ArcFace: Additive Angular Margin Loss for Deep Face Recognition(人脸识别)
    作者:Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou
    论文链接:https://arxiv.org/abs/1801.07698
    Demo链接:https://github.com/vita-epfl/openpifpafwebdemo

    4、Linkage Based Face Clustering via Graph Convolution Network
    作者:Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
    论文链接:https://arxiv.org/abs/1903.11306

    5、Learning to Cluster Faces on an Affinity Graph
    作者:Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin
    论文链接:https://arxiv.org/abs/1904.02749

    6、Deep Tree Learning for Zero-shot Face Anti-Spoofing(Oral)
    作者:Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu
    论文链接:https://arxiv.org/abs/1904.02860

    7、Efficient Decision-based Black-box Adversarial Attacks on Face Recognition(人脸识别)
    作者:Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu
    论文链接:https://arxiv.org/abs/1904.04433

    8、Towards High-fidelity Nonlinear 3D Face Morphable Model
    作者:Luan Tran, Feng Liu, Xiaoming Liu
    论文链接:https://arxiv.org/abs/1904.04933
    项目链接:http://cvlab.cse.msu.edu/project-nonlinear-3dmm.html

    9、LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
    作者:Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman
    论文链接:https://arxiv.org/abs/1904.07647

    10、Hierarchical Cross-Modal Talking Face Generationwith Dynamic Pixel-Wise Loss
    作者:Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu
    论文链接:https://arxiv.org/abs/1905.03820

    11、Deep Face Recognition via Exclusive Regularization(南开大学,人脸识别)
    作者:Kai Zhao, Jingyi Xu, Ming-Ming Cheng
    论文链接:http://mftp.mmcheng.net/Papers/19cvprRegularFace.pdf

    12、A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
    作者:Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
    论文链接:https://arxiv.org/abs/1811.11431
    源码链接:https://github.com/sacmehta/ESPNetv2

    13、MVF-Net: Multi-View 3D Face Morphable Model Regression
    MVF-Net:多视图3D面部可变模型回归
    作者:Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu
    论文链接:https://arxiv.org/abs/1904.04473
    源码链接:https://github.com/Fanziapril/mvfnet

    六、人体姿态估计/手势姿态估计、位姿估计

    1、Deep High-Resolution Representation Learning for Human Pose Estimation(目前SOTA,已经开源)
    作者:Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang
    论文链接:https://128.84.21.199/abs/1902.09212
    代码链接:https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
    论文解读:https://mp.weixin.qq.com/s/ZRCzBTBmlEzQCVo1HLWtbQ

    2、DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
    作者:Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese
    论文链接:https://arxiv.org/abs/1901.04780
    论文解读:https://mp.weixin.qq.com/s/wrND2cocWlPPVXPqpq-Glg

    3、RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
    作者:Bastian Wandt, Bodo Rosenhahn
    论文链接:https://arxiv.org/abs/1902.09868

    4、3D Hand Shape and Pose Estimation from a Single RGB Image
    作者:Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan
    论文链接:https://arxiv.org/abs/1903.00812

    5、Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
    作者:Muhammed Kocabas, Salih Karagoz, Emre Akbas
    论文链接:https://arxiv.org/abs/1903.02330
    Github链接:https://github.com/mkocabas/EpipolarPose

    6、Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
    作者:Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou
    论文链接:https://arxiv.org/abs/1901.04111
    项目链接:https://zju-3dv.github.io/mvpose/
    代码链接:https://github.com/zju-3dv/mvpose

    7、Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion (Oral)
    作者:Zhenpei Yang, Jeffrey Z.Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman and Qixing Huang
    论文链接:https://arxiv.org/pdf/1901.00063.pdf
    代码链接: https://github.com/zhenpeiyang/RelativePose

    8、PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
    作者:Sida Peng, Yuan Liu, Qixing Huang, Hujun Bao, and Xiaowei Zhou
    论文链接:https://arxiv.org/pdf/1812.11788.pdf

    9、PoseFix: Model-agnostic General Human Pose Refinement Network
    作者:Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee
    论文链接:https://arxiv.org/abs/1812.03595
    源码链接:https://github.com/mks0601/PoseFix_RELEASE

    10、Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation(oral)
    作者:He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas
    论文链接:https://arxiv.org/abs/1901.02970

    11、PifPaf: Composite Fields for Human Pose Estimation(姿态估计)
    作者:Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi
    论文链接:https://arxiv.org/abs/1903.06593
    Demo链接:https://github.com/vita-epfl/openpifpafwebdemo

    12、Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation(Oral,3D姿态估计)
    作者:Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin
    论文链接:https://arxiv.org/abs/1903.08839

    13、CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
    作者:Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu
    论文链接:https://arxiv.org/abs/1812.00324
    代码链接:https://github.com/Jeff-sjtu/CrowdPose

    14、Dense Intrinsic Appearance Flow for Human Pose Transfer
    作者:Yining Li, Chen Huang, Chen Change Loy
    论文链接:https://arxiv.org/abs/1903.11326

    15、Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
    作者:Chen Li, Gim Hee Lee
    论文链接:https://arxiv.org/abs/1904.05547

    16、FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
    作者:Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, and Yung-Yu Chuang
    论文链接:https://github.com/shamangary/FSA-Net/blob/master/0191.pdf
    源码链接:https://github.com/shamangary/FSA-Net

    17、Segmentation-driven 6D Object Pose Estimation
    作者:Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
    论文链接:https://arxiv.org/abs/1812.02541
    源码链接:https://github.com/cvlab-epfl/segmentation-driven-pose

    18、Progressive Pose Attention Transfer for Person Image Generation
    作者:Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, Xiang Bai
    论文链接:https://arxiv.org/abs/1904.03349
    源码链接:https://github.com/tengteng95/Pose-Transfer

    19、Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
    作者:Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang
    论文链接:https://arxiv.org/abs/1905.03466

    20、Exploiting temporal context for 3D human pose estimation in the wild
    作者:Anurag Arnab, Carl Doersch, Andrew Zisserman
    论文链接:https://arxiv.org/abs/1905.04266

    21、In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations
    作者:Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, Christian Theobalt
    论文链接:https://arxiv.org/abs/1904.03289

    22、CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation(手势姿态估计)
    作者:Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma
    论文链接:待更新
    源码链接:https://github.com/dumyy/handpose

    23、Self supervised 3D hand pose estimation(Oral,手势姿态估计)
    作者:Shile Li, Dongheui Lee
    论文链接:http://www.vision.ee.ethz.ch/~wanc/papers/cvpr2019.pdf
    源码链接:https://github.com/melonwan/sphereHand

    24、Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer(手势姿态估计)
    作者:Shile Li, Dongheui Lee
    论文链接:https://arxiv.org/pdf/1812.02050.pdf

    25、Disentangling Latent Hands for Image Synthesis and Pose Estimation
    作者:Linlin Yang, Angela Yao
    论文链接:https://arxiv.org/abs/1812.01002

    26、3D human pose estimation in video with temporal convolutions and semi-supervised training(Facebook)
    作者:Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli
    论文链接:https://research.fb.com/wp-content/uploads/2019/05/3D-human-pose-estimation-in-video-with-temporal-convolutions-and-semi-supervised-training.pdf

    七、行为/动作识别、手势识别

    1、An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
    作者:Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan
    论文链接:https://arxiv.org/abs/1902.09130

    2、Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
    作者:Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel
    链接:https://arxiv.org/abs/1812.06145

    3、Collaborative Spatio-temporal Feature Learning for Video Action Recognition
    作者:Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu
    论文链接:https://arxiv.org/abs/1903.01197

    4、Peeking into the Future: Predicting Future Person Activities and Locations in Videos(行为预测)
    作者:Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei
    论文链接:https://arxiv.org/abs/1902.03748

    5、Neural Scene Decomposition for Multi-Person Motion Capture
    作者:Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
    论文链接:https://arxiv.org/abs/1903.05684

    6、Action Recognition from Single Timestamp Supervision in Untrimmed Videos(动作识别)
    作者:Davide Moltisanti, Sanja Fidler, Dima Damen
    论文链接:https://arxiv.org/abs/1904.04689

    7、Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering
    作者:Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
    论文链接:https://arxiv.org/abs/1904.04196

    8、Relational Action Forecasting(oral)
    作者:Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid
    论文链接:https://arxiv.org/abs/1904.04231

    9、H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions(Oral)
    作者:Bugra Tekin, Federica Bogo, Marc Pollefeys
    论文链接:https://arxiv.org/abs/1904.05349

    10、Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
    作者:Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao
    论文链接:https://arxiv.org/abs/1904.08703

    11、Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition
    作者:Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, and Qi Tian
    论文链接:https://arxiv.org/pdf/1904.12659.pdf

    12、A neural network based on SPD manifold learning for skeleton-based hand gesture recognition
    作者:Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux
    论文链接:https://arxiv.org/abs/1904.12970

    13、DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition(Facebook)
    作者:Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan
    论文链接:https://research.fb.com/wp-content/uploads/2019/05/DMC-Net-Generating-Discriminative-Motion-Cues-for-Fast-Compressed-Video-Action-Recognition.pdf

    八、时序动作检测、视频相关

    1、Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
    作者:Nayyer Aafaq, Naveed Akhtar, Wei Liu, Syed Zulqarnain Gilani, Ajmal Mian
    论文链接:https://arxiv.org/abs/1902.10322
    来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q

    2、Single-frame Regularization for Temporally Stable CNNs(视频处理)
    作者:Gabriel Eilertsen, Rafał K. Mantiuk, Jonas Unger
    论文链接:https://arxiv.org/abs/1902.10424
    来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q

    3、Neural RGB-D Sensing: Depth estimation from a video
    作者:Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
    论文链接:https://arxiv.org/pdf/1901.02571.pdf
    project链接:https://research.nvidia.com/publication/2019-06_Neural-RGBD

    4、Competitive Collaboration: Joint Unsupervised Learning of Depth, CameraMotion, Optical Flow and Motion Segmentation
    作者:Anurag Ranjan, Varun Jampani, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black
    论文链接:https://arxiv.org/pdf/1805.09806.pdf

    5、Representation Flow for Action Recognition
    作者:AJ Piergiovanni, Michael S. Ryoo
    论文链接:https://arxiv.org/abs/1810.01455
    项目链接:https://piergiaj.github.io/rep-flow-site/
    代码链接:https://github.com/piergiaj/representation-flow-cvpr19

    6、Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
    作者:Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Mansour, Svetha Venkatesh
    论文链接:https://arxiv.org/abs/1903.03295

    7、Video Generation from Single Semantic Label Map
    作者:Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang
    论文链接:https://arxiv.org/abs/1903.04480
    源码链接:https://github.com/junting/seg2vid/tree/master

    8、Inserting Videos into Videos
    作者:Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang
    论文链接:https://arxiv.org/abs/1903.06571

    9、Recurrent Back-Projection Network for Video Super-Resolution
    作者:Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
    论文链接:https://alterzero.github.io/projects/rbpn_cvpr2019.pdf
    代码链接:https://github.com/alterzero/RBPN-PyTorch
    项目链接:https://alterzero.github.io/projects/RBPN.html

    10、Depth-Aware Video Frame Interpolation
    作者:Wenbo Bao Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang
    论文链接:https://sites.google.com/view/wenbobao/dain
    代码链接:https://github.com/baowenbo/DAIN

    11、Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph
    作者:Yao-Hung Hubert Tsai, Santosh Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi
    论文链接:https://arxiv.org/abs/1903.10547

    12、Dual Encoding for Zero-Example Video Retrieval
    作者:Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang and Xun Wang
    论文链接:https://arxiv.org/abs/1809.06181
    代码链接:https://github.com/danieljf24/dual_encoding

    13、Rethinking the Evaluation of Video Summaries
    作者:Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit
    论文链接:https://arxiv.org/abs/1903.11328

    14、End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image
    作者:Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim
    论文链接:https://arxiv.org/abs/1904.00680

    15、GolfDB: A Video Database for Golf Swing Sequencing
    作者:William McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong
    论文链接:https://arxiv.org/abs/1903.06528v1

    16、VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal
    作者:Ya-Liang Chang, Zhe Yu Liu, Winston Hsu
    论文链接:https://arxiv.org/abs/1904.06726

    17、STEP: Spatio-Temporal Progressive Learning for Video Action Detection(Oral)
    作者:Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz
    论文链接:https://arxiv.org/abs/1904.09288

    18、UnOS: Unified Unsupervised Optical-flow and Stereo-depth Estimation by Watching Videos
    作者:Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, and Wei Xu
    论文链接:https://arxiv.org/abs/1810.03654

    19、Memory-Attended Recurrent Network for Video Captioning
    作者:Wenjie Pei, Jiyuan Zhang, Xiangrong Wang, Lei Ke, Xiaoyong Shen, Yu-Wing Tai
    论文链接:https://arxiv.org/abs/1905.03966

    九、Related to Networks

    1、RePr: Improved Training of Convolutional Filters
    作者:Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang
    论文链接:https://arxiv.org/abs/1811.07275

    2、Iterative Residual CNNs for Burst Photography Applications
    作者:Filippos Kokkinos   Stamatis Lefkimmiatis
    论文链接:https://arxiv.org/abs/1811.12197

    3、SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images
    作者:Yeon Kun Lee, Jaeseok Jeong, Jong Seob Yun, Cho Won June, Kuk-Jin Yoon
    论文链接:https://arxiv.org/abs/1811.08196

    4、On the Continuity of Rotation Representations in Neural Networks
    作者:Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li
    论文链接:https://arxiv.org/pdf/1812.07035.pdf

    5、Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
    作者:Shilin Zhu, Xin Dong, Hao Su
    论文链接:https://arxiv.org/abs/1806.07550
    简要:Ensemble of binary neural networks has better stability and robustness, and may perform as well as floating-point networks.

    6、A Neurobiological Evaluation Metric for Neural Network Model Search
    作者:Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer
    论文链接:https://arxiv.org/pdf/1805.10726.pdf

    7、MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
    作者:Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis
    论文链接:https://arxiv.org/pdf/1812.00087.pdf

    8、Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks
    作者:Nima Mohajerin, Mohsen Rohani
    论文链接:https://arxiv.org/pdf/1812.09395.pdf

    9、Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem(oral)
    作者:Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
    论文链接:https://arxiv.org/abs/1812.05720
    Reading Note:In the paper, we give a theoretical argument of why ReLU activation can lead to models with overconfident predictions. Moreover, we propose a robust optimization training scheme that mitigates this problem.

    10、RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
    作者:Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian Reid
    论文链接:https://arxiv.org/abs/1903.00620

    11、PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
    作者:Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu
    论文链接:https://arxiv.org/abs/1903.00709

    12、3D Point-Capsule Networks
    作者:Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
    论文链接:https://arxiv.org/abs/1812.10775

    13、CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
    作者:Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen
    论文链接:https://arxiv.org/abs/1903.02351

    14、Path-Invariant Map Networks (Oral)
    作者:Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou and Qixing Huang
    论文链接:https://arxiv.org/pdf/1812.11647.pdf
    代码链接: https://github.com/zaiweizhang/path_invariance_map_network

    15、A Main/Subsidiary Network Framework for Simplifying Binary Neural Network
    作者:Yinghao Xu, Xin Dong, Yudian Li, Hao Su
    论文链接:https://arxiv.org/abs/1812.04210
    简要:A simple learning-based binary neural network pruning scheme.

    16、Knowledge-Embedded Routing Network for Scene Graph Generation
    作者:Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin
    论文链接:https://arxiv.org/abs/1903.03326

    17、Knowledge-Embedded Routing Network for Scene Graph Generation
    作者:Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin
    论文链接:https://arxiv.org/abs/1903.03326

    18、HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
    作者:Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
    论文链接:https://arxiv.org/abs/1903.04120

    19、Large-scale Distributed Second-order Optimization Using Kronecker-factored Approximate Curvature for Deep Convolutional Neural Networks
    作者:Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka
    论文链接:https://arxiv.org/abs/1811.12019

    20、ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
    作者:Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu
    论文链接:https://arxiv.org/abs/1811.11968

    21、LaSO: Label-Set Operations networks for multi-label few-shot learning(oral)
    作者:Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein
    论文链接:https://arxiv.org/abs/1902.09811

    22、Selective Kernel Networks
    作者:Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang
    论文链接:https://arxiv.org/abs/1903.06586
    源码链接:https://github.com/implus/SKNet

    23、Self-calibrating Deep Photometric Stereo Networks(Oral)
    作者:Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong
    论文链接:https://arxiv.org/abs/1903.07366
    项目链接:http://gychen.org/SDPS-Net/
    代码链接:https://github.com/guanyingc/SDPS-Net

    24、Self-calibrating Deep Photometric Stereo Networks(Oral)
    作者:Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong
    论文链接:https://arxiv.org/abs/1903.07366
    项目链接:http://gychen.org/SDPS-Net/
    代码链接:https://github.com/guanyingc/SDPS-Net

    25、Networks for Joint Affine and Non-parametric Image Registration
    作者:Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer
    论文链接:https://arxiv.org/abs/1903.08811

    26、Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences
    作者:Seonguk Seo, Paul Hongsuck Seo, Bohyung Han
    论文链接:https://arxiv.org/abs/1810.02358

    27、Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
    作者:Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David Doermann
    论文链接:https://arxiv.org/abs/1903.09291

    28、TIN: Transferable Interactiveness Network
    作者:Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu
    论文链接:https://arxiv.org/abs/1811.08264
    代码链接:https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network

    29、Convolutional Neural Networks Deceived by Visual Illusions
    作者:Alexander Gomez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío
    论文链接:https://arxiv.org/abs/1811.10565

    30、Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
    作者:Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen
    论文链接:https://arxiv.org/abs/1904.00346

    31、Kervolutional Neural Networks
    作者:Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan
    论文链接:https://arxiv.org/abs/1904.03955

    32、Pixel-Adaptive Convolutional Neural Networks
    作者:Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz
    论文链接:https://arxiv.org/abs/1904.05373

    33、Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
    作者:Shilin Zhu, Xin Dong, Hao Su
    论文链接:https://arxiv.org/abs/1806.07550

    34、Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration(Oral)
    作者:Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang
    论文链接:https://arxiv.org/abs/1811.00250
    源码链接:https://github.com/he-y/filter-pruning-geometric-median

    35、D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
    作者:Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler
    论文链接:https://dsmn.ml/publications/d2-net.html
    源码链接:https://github.com/mihaidusmanu/d2-net

    36、On Implicit Filter Level Sparsity in Convolutional Neural Networks
    作者:Dushyant Mehta, Kwang In Kim, Christian Theobalt
    论文链接:https://arxiv.org/abs/1811.12495

    37、Graph-Based Global Reasoning Networks(Facebook)
    作者:Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis
    论文链接:https://research.fb.com/wp-content/uploads/2019/05/Graph-Based-Global-Reasoning-Networks.pdf

    38、FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
    作者:Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
    论文链接:https://arxiv.org/abs/1904.09290
    源码链接:https://github.com/SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019

    39、ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
    作者:Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
    论文链接:https://arxiv.org/abs/1811.11431
    源码链接:https://github.com/sacmehta/ESPNetv2

    十、GAN、图像文本生成

    1、Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks
    作者:S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon
    论文链接:https://arxiv.org/abs/1811.08230

    2、Mixture Density Generative Adversarial Networks
    作者:Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
    论文链接:https://arxiv.org/abs/1811.00152

    3、GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
    作者:Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
    论文链接:https://arxiv.org/abs/1902.05978
    github链接:https://github.com/barisgecer/ganfit

    4、Self-Supervised Generative Adversarial Networks
    作者:Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby
    论文链接:https://arxiv.org/abs/1811.11212
    Github链接:https://github.com/google/compare_gan

    5、CollaGAN : Collaborative GAN for Missing Image Data Imputation
    作者:Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye
    论文链接:https://arxiv.org/abs/1901.09764

    6、Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
    作者:Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang
    论文链接:https://arxiv.org/abs/1903.05628
    代码链接:https://github.com/HelenMao/MSGAN (待更新)

    7、MirrorGAN: Learning Text-to-image Generation by Redescription(图像文本生成)
    作者:Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao
    论文链接:https://arxiv.org/abs/1903.05854

    8、From Adversarial Training to Generative Adversarial Networks
    作者:Xuanqing Liu, Cho-Jui Hsieh
    论文链接:https://arxiv.org/pdf/1807.10454.pdf

    9、OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
    作者:Pramuditha Perera, Ramesh Nallapati, Bing Xiang
    论文链接:https://arxiv.org/abs/1903.08550

    10、SalGAN: Visual Saliency Prediction with Generative Adversarial Networks(商汤/华为/港中文)
    作者:Junting Pan, Cristian Canton Ferrer, Kevin McGuinness, Noel E. O’Connor, Jordi Torres, Elisa Sayrol, Xavier Giro-i-Nieto
    论文链接:https://arxiv.org/abs/1701.01081
    代码链接:https://github.com/junting/seg2vid

    11、StoryGAN: A Sequential Conditional GAN for Story Visualization(图像文本生成)
    作者:Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao
    论文链接:https://arxiv.org/abs/1812.02784
    代码链接:https://github.com/yitong91/StoryGAN

    12、Object-driven Text-to-Image Synthesis via Adversarial Training(图像文本生成)
    作者:Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao
    论文链接:https://arxiv.org/abs/1902.10740

    13、Text2Scene: Generating Compositional Scenes from Textual Descriptions
    作者:Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao
    论文链接:https://arxiv.org/abs/1809.01110
    代码链接:https://github.com/uvavision/Text2Image

    14、Image Generation from Layout
    作者:Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal
    论文链接:https://arxiv.org/abs/1811.11389

    15、DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
    作者:Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang
    论文链接:https://arxiv.org/abs/1904.01310

    16、Semantics Disentangling for Text-to-Image Generation(Oral)
    作者:Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao
    论文链接:https://arxiv.org/abs/1904.01480

    17、Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks(Oral)
    作者:Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
    论文链接:https://arxiv.org/abs/1904.02884

    18、R2GAN: Cross-modal Recipe Retrieval with Generative Adversarial Network
    作者:Bin Zhu, Chong-Wah Ngo, Jingjing Chen, and Yanbin Hao
    论文链接:http://vireo.cs.cityu.edu.hk/papers/R2GAN.pdf

    19、Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation(Oral)
    作者:Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan
    论文链接:https://arxiv.org/abs/1904.06807
    源码链接:https://github.com/Ha0Tang/SelectionGAN

    20、Text Guided Person Image Synthesis
    作者:Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang
    论文链接:https://arxiv.org/abs/1904.05118

    21、Max-Sliced Wasserstein Distance and its use for GANs
    作者:Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth, Alexander Schwing
    论文链接:https://arxiv.org/abs/1904.05877

    22、Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN
    作者:Qing Ping, Jiangbo Yuan, Bing Wu, Wanying Ding
    论文链接:https://arxiv.org/abs/1904.07460

    23、Self-Supervised GANs via Auxiliary Rotation Loss
    作者:Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby
    论文链接:https://arxiv.org/abs/1811.11212

    24、Sphere Generative Adversarial Network Based on Geometric Moment Matching
    作者:Sung Woo Park and Junseok Kwon
    论文链接:http://cau.ac.kr/~jskwon/paper/SphereGAN_CVPR2019.pdf
    源码链接:https://github.com/taki0112/SphereGAN-Tensorflow

    25、A Style-Based Generator Architecture for Generative Adversarial Networks
    作者:Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA)
    论文链接:http://stylegan.xyz/paper
    源码链接:https://github.com/NVlabs/stylegan

    十一、图像/视频处理、超分辨

    1、Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference
    作者:Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan
    论文链接:https://arxiv.org/abs/1902.10556
    代码链接:https://github.com/YoYo000/MVSNet

    2、Unprocessing Images for Learned Raw Denoising (Oral Presentation)
    作者:Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron
    论文链接:https://arxiv.org/abs/1811.11127
    project链接:http://timothybrooks.com/tech/unprocessing/
    Reading note:We can learn a better denoising model by processing and unprocessing images the same way a camera does.

    3、Image Super-Resolution by Neural Texture Transfer
    作者:Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi
    论文链接:https://arxiv.org/pdf/1903.00834.pdf
    项目链接:http://web.eecs.utk.edu/~zzhang61/project_page/SRNTT/SRNTT.html
    代码链接:https://github.com/ZZUTK/SRNTT

    4、Toward Convolutional Blind Denoising of Real Photographs
    作者:Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang
    论文链接:https://arxiv.org/abs/1807.04686
    代码链接:https://github.com/GuoShi28/CBDNet

    5、Learning Parallax Attention for Stereo Image Super-Resolution(图像超分辨)
    作者:Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
    论文链接:https://arxiv.org/abs/1903.05784

    6、Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
    作者:Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani
    论文链接:https://arxiv.org/abs/1903.08817

    7、PASSRnet: Parallax Attention Stereo Super-Resolution Network
    作者:Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
    论文链接:https://arxiv.org/abs/1903.05784
    代码链接:https://github.com/LongguangWang/PASSRnet

    8、Feedback Network for Image Super-Resolution
    作者:Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu
    论文链接:https://arxiv.org/abs/1903.09814

    9、Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (旷视,超分辨)
    作者:Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun
    论文链接:https://arxiv.org/abs/1903.00875
    论文解读:CVPR2019 | 旷视提出Meta-SR:单一模型实现超分辨率任意缩放因子

    10、Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
    作者:Kai Zhang, Wangmeng Zuo, Lei Zhang
    论文链接:https://arxiv.org/abs/1903.12529
    代码链接:https://github.com/cszn/DPSR

    11、Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
    作者:Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson Lau
    论文链接:https://arxiv.org/abs/1904.01538
    项目链接:https://stevewongv.github.io/derain-project.html

    12、DVC: An End-to-end Deep Video Compression Framework(Oral)
    作者:Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao
    论文链接:https://arxiv.org/abs/1812.00101
    代码链接:https://github.com/GuoLusjtu/DVC

    13、Blind Visual Motif Removal from a Single Image
    作者:Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
    论文链接:https://arxiv.org/abs/1904.02756

    14、Fast Spatio-Temporal Residual Network for Video Super-Resolution
    作者:Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
    论文链接:https://arxiv.org/abs/1904.02870

    15、3D Appearance Super-Resolution with Deep Learning
    论文链接:https://github.com/ofsoundof/3D_Appearance_SR/blob/master/code/scripts/3d_appearance_sr.pdf
    源码链接:https://github.com/ofsoundof/3D_Appearance_SR

    16、Camera Lens Super-Resolution
    作者:Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
    论文链接:http://staff.ustc.edu.cn/~zwxiong/cameraSR.pdf
    源码链接:https://github.com/ngchc/CameraSR

    17、Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
    作者:Ruotent Li, Loong Fah Cheong, Robby T. Tan
    论文链接:https://arxiv.org/abs/1904.05050

    18、Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
    作者:Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo
    论文链接:https://arxiv.org/abs/1904.07475

    19、Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
    作者:Masanori Suganuma, Xing Liu, Takayuki Okatani
    论文链接:https://arxiv.org/abs/1812.00733
    源码链接:https://github.com/sg-nm/Operation-wise-attention-network

    20、Deep Video Inpainting
    作者:Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
    论文链接:https://arxiv.org/abs/1905.01639

    21、Deep Flow-Guided Video Inpaintinge
    作者:Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy
    论文链接:https://arxiv.org/abs/1905.02884

    22、Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
    作者:Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
    论文链接:https://arxiv.org/abs/1905.02949

    23、Dynamic Scene Deblurring with Parameter Selective Sharing and Nested Skip Connections
    作者:Hongyun Gao, Xin Tao, Xiaoyong Shen, Jiaya Jia
    论文链接:http://jiaya.me/papers/deblur_cvpr19.pdf

    24、Underexposed Photo Enhancement using Deep Illumination Estimation
    作者:Ruixing Wang, Qing Zhang, Chi-Wing Fu, Xiaoyong Shen, Wei-shi Zheng, Jiaya Jia
    论文链接:http://jiaya.me/papers/photoenhance_cvpr19.pdf

    十二、点云、三维重建

    1、The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
    作者:Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser
    论文链接:https://arxiv.org/abs/1811.06879

    2、Octree guided CNN with Spherical Kernels for 3D Point Clouds
    作者:Huan Lei, Naveed Akhtar, Ajmal Mian
    论文链接:https://arxiv.org/abs/1903.00343

    3、DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
    作者:Li Ding, Chen Feng
    论文链接:https://arxiv.org/abs/1811.11397

    4、Generating 3D Adversarial Point Clouds
    作者:Chong Xiang (1), Charles R. Qi (2), Bo Li (3) ((1) Shanghai Jiao Tong Univerisity, (2) Stanford University, (3) University of Illinois at Urbana-Champaign)
    论文链接:https://arxiv.org/abs/1809.07016
    简要:Proposed several novel algorithms to craft adversarial point clouds against 3D deep learning models with adversarial points perturbation and adversarial points generation.

    5、FlowNet3D: Learning Scene Flow in 3D Point Clouds
    作者:Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
    论文链接:https://arxiv.org/abs/1806.01411
    简要:Proposed a novel deep neural network that learns scene flow from point clouds in an end-to-end fashion.

    6、33.Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding(开源)
    作者:Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao
    论文链接:https://arxiv.org/abs/1902.09777
    代码链接:https://github.com/svip-lab/PlanarReconstruction

    7、FML: Face Model Learning from Videos(Oral)
    作者:A. Tewari F. Bernard P. Garrido G. Bharaj M. Elgharib H-P. Seidel P. Perez M. Zollhöfer C.Theobalt
    项目链接:http://gvv.mpi-inf.mpg.de/projects/FML19/
    论文链接:http://gvv.mpi-inf.mpg.de/projects/FML19/paper.pdf

    8、SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representation
    作者:Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
    论文链接:https://arxiv.org/abs/1903.06482

    9、Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
    作者:Pelin Dogan, Leonid Sigal, Markus Gross
    论文链接:
    https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/paper.pdf
    代码链接:
    https://github.com/chenhsuanlin/photometric-mesh-optim
    项目链接:
    https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/

    10、Learning View Priors for Single-view 3D Reconstruction
    作者:Hiroharu Kato, Tatsuya Harada
    论文链接:https://arxiv.org/abs/1811.10719
    项目链接:http://hiroharu-kato.com/projects_en/view_prior_learning.html

    11、Patch-based Progressive 3D Point Set Upsampling
    作者:Wang Yifan, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung
    论文链接:https://arxiv.org/abs/1811.11286
    代码链接:https://github.com/yifita/3PU

    12、GeoNet: Deep Geodesic Networks for Point Cloud Analysis(Oral,旷视,根据测地间隔的点云剖析深度网络)
    作者:Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto
    论文链接:https://arxiv.org/abs/1901.00680
    论文解读:CVPR 2019 | 旷视等Oral论文提出GeoNet:基于测地距离的点云分析深度网络

    13、JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields(Oral)
    作者:Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
    论文链接:https://arxiv.org/abs/1904.00699
    项目链接:https://pqhieu.github.io/cvpr19.html

    14、Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
    作者:Loic Landrieu, Mohamed Boussaha
    论文链接:https://arxiv.org/abs/1904.02113

    15、Calibration of Asynchronous Camera Networks for Object Reconstruction Tasks
    作者:Amy Tabb, Henry Medeiros
    论文链接:https://arxiv.org/abs/1903.06811

    16、StereoDRNet: Dilated Residual Stereo Net
    作者:Rohan Chabra, Julian Straub, Chris Sweeny, Richard Newcombe, Henry Fuchs
    论文链接:https://arxiv.org/abs/1904.02251

    17、Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction
    作者:Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie Zhou
    论文链接:https://arxiv.org/abs/1904.06699

    18、PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
    作者:Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
    论文链接:https://arxiv.org/abs/1812.04244
    源码链接:https://github.com/sshaoshuai/PointRCNN

    19、Relation-Shape Convolutional Neural Network for Point Cloud Analysis
    作者:Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan
    论文链接:https://arxiv.org/abs/1904.07601
    项目链接:https://yochengliu.github.io/Relation-Shape-CNN/
    源码链接:https://github.com/Yochengliu/Relation-Shape-CNN

    20、A-CNN: Annularly Convolutional Neural Networks on Point Clouds
    作者:Artem Komarichev, Zichun Zhong, Jing Hua
    论文链接:https://arxiv.org/abs/1904.08017

    21、PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
    作者: Wenxiao Zhang, Chunxia Xiao
    论文链接:https://arxiv.org/abs/1904.09793

    22、Deep Convolutional Networks on 3D Point Clouds
    作者:Satwik Acharyya, Zhengwu Zhang, Anirban Bhattacharya, Debdeep Pati
    论文链接:https://arxiv.org/pdf/1811.07246.pdf
    源码链接:https://github.com/DylanWusee/pointconv

    23、LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
    作者:Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabás Póczos, Yaser Sheikh
    论文链接:https://arxiv.org/abs/1904.10037

    24、Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
    作者:Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis
    论文链接:https://arxiv.org/abs/1811.07782

    25、RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
    作者:Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim
    论文链接:https://arxiv.org/abs/1904.12304
    源码链接:https://github.com/iSarmad/RL-GAN-Net

    26、Occupancy Networks - Learning 3D Reconstruction in Function Space
    作者:Lars Mescheder and Michael Oechsle and Michael Niemeyer and Sebastian Nowozin and Andreas Geiger
    论文链接:https://avg.is.tuebingen.mpg.de/uploads_file/attachment/attachment/490/top.pdf
    源码链接:https://github.com/autonomousvision/occupancy_networks

    27、Graph Attention Convolution for Point Cloud Segmentation
    作者:待更新
    论文链接:https://engineering.purdue.edu/~jshan/publications/2018/Lei%20Wang%20Graph%20Attention%20Convolution%20for%20Point%20Cloud%20Segmentation%20CVPR2019.pdf

    28、GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
    作者:Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas Guibas
    论文链接:https://arxiv.org/abs/1812.03320

    29、Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks
    作者:Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
    论文链接:https://arxiv.org/abs/1812.00709
    源码链接:https://github.com/sitzikbs/Nesti-Net

    30、Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes
    作者:Ziquan Lan, Zi Jian Yew,Gim Hee Lee
    论文链接:https://www.researchgate.net/publication/332240602_Robust_Point_Cloud_Based_Reconstruction_of_Large-Scale_Outdoor_Scenes
    源码链接:https://github.com/ziquan111/RobustPCLReconstruction

    31、PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
    作者:Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey
    论文链接:https://arxiv.org/abs/1903.05711
    源码链接:https://github.com/hmgoforth/PointNetLK

    32、PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
    作者:Hengshuang Zhao, Li Jiang, Chi-Wing Fu,Jiaya Jia
    论文链接:http://jiaya.me/papers/pointweb_cvpr19.pdf

    33、ClusterNet: Deep Hierarchical Cluster Network with Rigorously Rotation-Invariant Representation for Point Cloud Analysis
    作者:Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin
    论文链接:http://www.linliang.net/wp-content/uploads/2019/04/CVPR2019_PointClound.pdf

    34、FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization
    作者:Wei Gao, Russ Tedrake
    论文链接:https://arxiv.org/abs/1811.10136
    源码链接:https://bitbucket.org/gaowei19951004/poser/src/master/

    35、Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
    作者:Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra
    论文链接:https://arxiv.org/abs/1904.03461

    36、SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences
    作者:Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
    论文链接:https://arxiv.org/abs/1904.03483
    源码链接:https://github.com/intellhave/SDRSAC (matlab)

    37、PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds
    作者:Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger
    论文链接:https://arxiv.org/abs/1806.02170
    源码链接:https://github.com/aseembehl/pointflownet

    38、PointPillars: Fast Encoders for Object Detection from Point Clouds
    作者:Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom
    论文链接:https://arxiv.org/abs/1812.05784
    源码链接:https://github.com/nutonomy/second.pytorch

    40、Supervised Fitting of Geometric Primitives to 3D Point Clouds(Oral)
    作者:Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas Guibas
    论文链接:https://arxiv.org/abs/1811.08988
    源码链接:https://github.com/csimstu2/SPFN

    41、PointConv: Deep Convolutional Networks on 3D Point Clouds
    作者:Wenxuan Wu, Zhongang Qi, Li Fuxin
    论文链接:https://arxiv.org/abs/1811.07246
    源码链接:https://github.com/DylanWusee/pointconv

    42、Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
    作者:Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian
    论文链接:https://arxiv.org/abs/1904.03375v1

    41、Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition
    作者:Yongming Rao, Jiwen Lu, Jie Zhou
    论文链接:https://raoyongming.github.io/files/SFCNN.pdf

    42、Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera(Oral,英伟达)
    作者:Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
    论文链接:https://arxiv.org/abs/1901.02571
    源码链接:https://github.com/NVlabs/neuralrgbd
    项目链接:https://research.nvidia.com/publication/2019-06_Neural-RGBD

    43、Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition(Facebook)
    作者:Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
    论文链接:https://research.fb.com/wp-content/uploads/2019/05/Reducing-Uncertainty-in-Undersampled-MRI-Reconstruction-with-Active-Acquisition.pdf

    44、Occupancy Networks: Learning 3D Reconstruction in Function Space
    作者:Lars Mescheder and Michael Oechsle and Michael Niemeyer and Sebastian Nowozin and Andreas Geiger
    论文链接:https://avg.is.tuebingen.mpg.de/publications/occupancy-networks
    源码链接:https://github.com/autonomousvision/occupancy_networks

    十三、VQA、视觉语言导航

    1、MUREL: Multimodal Relational Reasoning for Visual Question Answering
    作者:Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
    论文链接:https://arxiv.org/abs/1902.09487

    2、Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigationreg
    作者:Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang
    论文链接:https://arxiv.org/abs/1811.10092
    论文解读:https://mp.weixin.qq.com/s/LsHWkdwqqrOPFgCNNcBdpg

    3、Image-Question-Answer Synergistic Network for Visual Dialog
    作者:Dalu Guo, Chang Xu, Dacheng Tao
    论文链接:https://arxiv.org/abs/1902.09774

    4、Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation(oral)
    作者:Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha Srinivasa
    论文链接:https://arxiv.org/abs/1903.02547
    YouTube:https://youtu.be/ik9uz06Fcpk

    5、Learning to Compose Dynamic Tree Structures for Visual Contexts(VQA,Oral)
    作者:Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu
    论文链接:https://arxiv.org/abs/1812.01880
    代码链接:
    https://github.com/KaihuaTang/VCTree-Visual-Question-Answering

    6、Transfer Learning via Unsupervised Task Discovery for Visual Question Answering(VQA)
    作者:Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han
    论文链接:https://arxiv.org/abs/1810.02358

    7、Information Maximizing Visual Question Generation(VQA)
    作者:Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
    论文链接:https://arxiv.org/abs/1903.11306

    8、Answer Them All! Toward Universal Visual Question Answering Models(VQA)
    作者:Robik Shrestha, Kushal Kafle, Christopher Kanan
    论文链接:https://arxiv.org/abs/1903.00366

    9、Cycle-Consistency for Robust Visual Question Answering(VQA)
    作者:Gao Peng, Zhengkai Jiang, Haoxuan You, Zhengkai Jiang, Pan Lu, Steven Hoi, Xiaogang Wang, Hongsheng Li
    论文链接:https://arxiv.org/pdf/1812.05252.pdf

    10、Towards VQA Models that can Read
    作者:Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach
    论文链接:https://arxiv.org/abs/1904.08920

    11、Grounded Video Description (Oral)
    作者:Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach
    论文链接:https://arxiv.org/abs/1812.06587
    源码链接:https://github.com/facebookresearch/grounded-video-description

    12、Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
    作者:Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
    论文链接:https://arxiv.org/abs/1812.00971
    源码链接:https://github.com/allenai/savn

    十四、OCR、文本检测

    1、Shape Robust Text Detection with Progressive Scale Expansion Network(文本检测)
    作者:Xiang Li, Wenhai Wang, Wenbo Hou, Ruo-Ze Liu, Tong Lu, Jian Yang
    论文链接:https://arxiv.org/abs/1806.02559
    代码链接:https://github.com/whai362/PSENet
    网友复现:https://github.com/liuheng92/tensorflow_PSENet

    2、Towards Robust Curve Text Detection with Conditional Spatial Expansion
    作者:Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh
    论文链接:https://arxiv.org/abs/1903.08836

    3、Shape Robust Text Detection with Progressive Scale Expansion Network
    作者:Wenhai Wang, Enze Xie, Xiang Li, Wenbo Hou, Tong Lu, Gang Yu, Shuai Shao
    论文链接:https://arxiv.org/abs/1903.12473

    4、Handwriting Recognition in Low-resource Scripts using Adversarial Learning
    作者:Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy
    论文链接:https://arxiv.org/pdf/1811.01396.pdf

    5、Handwriting Recognition in Low-resource Scripts using Adversarial Learning
    作者:Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy
    论文链接:https://arxiv.org/abs/1811.01396

    6、Tightness-aware Evaluation Protocol for Scene Text Detection
    作者:Yuliang Liu, Lianwen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang, Lele Xie
    论文链接:https://arxiv.org/abs/1904.00813

    7、Character Region Awareness for Text Detection(文本检测)
    作者:Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee
    论文链接:https://arxiv.org/abs/1904.01941

    8、Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes
    作者:Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding
    论文链接:https://arxiv.org/abs/1904.06535

    9、Learning Shape-Aware Embedding for Scene Text Detection
    作者:Zhuotao Tian, Michelle Shu, Pengyuan Lyu, Ruiyu Li, Chao Zhou, Xiaoyong Shen, Jiaya Jia†
    论文链接:http://jiaya.me/papers/textdetection_cvpr19.pdf

    10、Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes Screen reader support enabled
    作者:Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding
    论文链接:https://arxiv.org/pdf/1904.06535.pdf

    十五、自动驾驶、SLAM

    1、Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving(自动驾驶)
    作者:Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
    论文链接:https://arxiv.org/abs/1812.07179
    项目链接:https://mileyan.github.io/pseudo_lidar/
    代码链接:https://github.com/mileyan/pseudo_lidar

    2、ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
    作者:Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang
    论文链接:https://arxiv.org/abs/1811.12222
    简要:The first large-scale database suitable for 3D car instance understanding, ApolloCar3D, collected by Baidu. The dataset contains 5,277 driving images and over 60K car instances, where each car is fitted with an industry-grade 3D CAD model with absolute model size and semantically labelled keypoints.

    3、Group-wise Correlation Stereo Network
    作者:Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li
    论文链接:https://arxiv.org/abs/1903.04025

    4、Stereo R-CNN based 3D Object Detection for Autonomous Driving
    作者:Peiliang Li, Xiaozhi Chen, Shaojie Shen
    论文链接:https://arxiv.org/abs/1902.09738

    5、Deep Rigid Instance Scene Flow
    作者:Wei-Chiu Ma 、Shenlong Wang 、Rui Hu、Yuwen Xiong、 Raquel Urtasun
    论文链接:
    https://people.csail.mit.edu/weichium/papers/cvpr19-dsisf/paper.pdf
    论文摘要:在本文中,我们解决了自动驾驶环境下的场景流量估计问题。 我们利用深度学习技术以及强大的先验,因为在我们的应用领域中,场景的运动可以由机器人的运动和场景中的演员的3D运动来组成。

    6、An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM
    作者:Patrick Geneva, James Maley, Guoquan Huang
    论文链接:https://arxiv.org/abs/1903.08636

    7、LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
    作者:Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
    论文链接:https://arxiv.org/abs/1903.08701

    8、.GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
    作者:Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang
    论文链接:https://arxiv.org/abs/1903.10955

    9、Learning to Adapt for Stereo
    作者:Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr
    论文链接:https://arxiv.org/abs/1904.02957
    代码链接:https://github.com/CVLAB-Unibo/Learning2AdaptForStereo

    10、What Object Should I Use? - Task Driven Object Detection
    作者:Johann Sawatzky, Yaser Souri, Christian Grund, Juergen Gall
    论文链接:https://arxiv.org/abs/1904.03000

    11、YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving
    作者:Thomas Boulay, Said El-Hachimi, Mani Kumar Surisetti, Pullarao Maddu, Saranya Kandan
    论文链接:https://arxiv.org/abs/1904.05673

    12、L3-Net: Towards Learning based LiDAR Localization for Autonomous Driving
    作者:Weixin Lu, Yao Zhou, Guowei Wan,Shenhua Hou,Shiyu Song
    论文链接:https://songshiyu01.github.io/pdf/L3Net_W.Lu_Y.Zhou_S.Song_CVPR2019.pdf

    十六、人群计数

    1、Learning from Synthetic Data for Crowd Counting in the Wild
    作者:Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan
    论文链接:https://arxiv.org/abs/1903.03303

    2、Point in, Box out: Beyond Counting Persons in Crowds
    作者:待更新
    论文链接:https://github.com/xiaofanglegoc/xiaofanglegoc.github.io/blob/master/publications/cvpr2019.pdf

    3、Learning the Depths of Moving People by Watching Frozen People(Oral)
    作者:Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
    论文链接:https://arxiv.org/abs/1904.11111

    十七、数据集、Benchmark

    1、COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis
    作者:Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
    论文链接:https://arxiv.org/abs/1903.02874
    项目链接:https://coin-dataset.github.io/
    代码链接:https://github.com/coin-dataset/code

    2、RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
    作者:Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
    论文链接:https://arxiv.org/abs/1903.02741
    项目链接:https://wellyzhang.github.io/project/raven.html

    3、SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images(金山云大规模X光违禁品安检数据集)
    作者:Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye
    论文链接:https://arxiv.org/abs/1901.00303
    论文简要:本文针对X光安检数据集,提出了类别平衡的分层细化模型处置数据集存在的成绩。

    4、A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
    作者:Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl
    论文链接:https://arxiv.org/abs/1903.06916

    5、A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
    作者:Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl
    论文链接:https://arxiv.org/abs/1903.06916

    6、A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
    作者:Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos
    论文链接:https://arxiv.org/abs/1904.07312

    7、A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
    作者:Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, Scott Howard
    论文链接:https://arxiv.org/abs/1812.10366
    源码链接:https://github.com/bmmi/denoising-fluorescence

    8、ABC: A Big CAD Model Dataset For Geometric Deep Learning
    作者:Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
    论文链接:https://arxiv.org/abs/1812.06216
    源码链接:https://github.com/deep-geometry/abc-dataset

    9、A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
    作者:Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
    论文链接:https://arxiv.org/abs/1811.11431
    源码链接:https://github.com/sacmehta/ESPNetv2

    10、DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
    作者:Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, Ping Luo
    论文链接:https://arxiv.org/abs/1901.07973
    源码链接:https://github.com/switchablenorms/DeepFashion2

    十八、行人重识别、行人检测

    1、Dissecting Person Re-identification from the Viewpoint of Viewpoint
    作者:Xiaoxiao Sun, Liang Zheng
    论文链接:https://arxiv.org/abs/1812.02162
    源码链接:https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint

    2、Unsupervised Person Re-identification by Soft Multilabel Learning(行人再识别,Oral)
    作者:Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai
    论文链接:https://arxiv.org/abs/1903.06325
    源码链接:https://github.com/KovenYu/MAR

    3、Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification
    作者:Yifan Sun, Qin Xu, Yali Li, Chi Zhang, Yikang Li, Shengjin Wang, Jian Sun
    论文链接:https://arxiv.org/abs/1904.00537

    4、Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
    作者:Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang
    论文链接:https://arxiv.org/abs/1904.01990
    代码链接:https://github.com/zhunzhong07/ECN

    5、SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
    作者:Chengju Zhou,Meiqing Wu,Siew-Kei Lam
    论文链接:https://arxiv.org/abs/1902.09080v1
    论文摘要:本文将语义分割结果作为自我关注线索进行探索,以显着提高行人检测性能。

    6、High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection
    作者:Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu
    论文链接:https://arxiv.org/abs/1904.02948

    7、High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection
    作者:Zhao-Min Chen, Xiu-Shen Wei Peng Wang3Yanwen Guo1
    论文链接:https://github.com/liuwei16/CSP/blob/master/docs/2019CVPR-CSP.pdf
    源码链接:https://github.com/liuwei16/CSP

    8、Pedestrian Detection in Thermal Images using Saliency Maps
    作者:Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman
    论文链接:https://arxiv.org/abs/1904.06859

    9、Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification(行人重识别)
    作者:Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, Shin’ichi Satoh
    论文链接:https://www.csie.ntu.edu.tw/~cyy/publications/papers/Wang2019LRD.pdf

    10、Pedestrian Detection with Autoregressive Network Phases
    具有自回归网络阶段的行人检测
    作者:Garrick Brazil, Xiaoming Liu
    论文链接:https://arxiv.org/abs/1812.00440
    源码链接:https://github.com/garrickbrazil/AR-Ped

    展开全文
  • CVPR2019 | 论文分类汇总

    万次阅读 2019-09-16 14:13:40
    CVPR2019 | 论文分类汇总(190611 更新) 原文地址:http://bbs.cvmart.net/topics/302/cvpr2019paper 作为计算机视觉领域三大顶会之一,CVPR2019(2019.6.16-6.19在美国洛杉矶举办)被CVers 重点关注。目前CVPR ...

    CVPR2019 | 论文分类汇总(190611 更新)

     原文地址:http://bbs.cvmart.net/topics/302/cvpr2019paper

    作为计算机视觉领域三大顶会之一,CVPR2019(2019.6.16-6.19在美国洛杉矶举办)被CVers 重点关注。目前CVPR 2019 接收结果已经出来啦,相关报道:1300篇!CVPR2019接收结果公布,你中了吗?
    开设此帖希望可以实时跟进CVPR2019的即时信息及相关优秀论文,欢迎点击文末关注按钮file,即可获取本帖最新更新消息。

     



    目录:(也欢迎大家推荐自己的CVPR2019文章,以下篇幅较大,分类如有错误欢迎留言指出和补充谢谢~)

    检测 38
    分割 50
    分类、识别 19
    跟踪 20
    人脸 12
    人体姿态估计/手势姿态估计、位姿估计 26
    行为/动作识别、手势识别 13
    时序动作检测、视频相关 19
    Related to Networks 39
    GAN、图像文本生成 25
    图像/视频处理、超分辨 24
    点云、三维重建 44
    VQA、视觉语言导航 12
    OCR、文本检测 10
    自动驾驶、SLAM 12
    人群计数 3
    数据集、Benchmark 10
    行人重识别、行人检测 9
    其他 200

     

     

    检测

    1、Stereo R-CNN based 3D Object Detection for Autonomous Driving
    作者:Peiliang Li, Xiaozhi Chen, Shaojie Shen
    论文链接:https://arxiv.org/abs/1902.09738


    2、Generalized Intersection over Union: A Metric and A Loss for Bounding Box Regression
    作者:Hamid Rezatofighi, Nathan Tsoi, JunYoung Gwak, Amir Sadeghian, Ian Reid, Silvio Savarese
    论文链接:https://arxiv.org/abs/1902.09630
    论文解读:https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw


    3、ROI-10D: Monocular Lifting of 2D Detection to 6D Pose and Metric Shape 作者:Fabian Manhardt, Wadim Kehl, Adrien Gaidon
    论文链接:https://arxiv.org/abs/1812.02781


    4、Bi-Directional Cascade Network for Perceptual Edge Detection
    作者:Jianzhong He, Shiliang Zhang, Ming Yang, Yanhu Shan, Tiejun Huang
    论文链接:https://arxiv.org/abs/1902.10903
    Github源码:https://github.com/pkuCactus/BDCN


    5、RepMet: Representative-based metric learning for classification and one-shot object detection
    作者:Leonid Karlinsky, Joseph Shtok, Sivan Harary, Eli Schwartz, Amit Aides, Rogerio Feris, Raja Giryes, Alex M. Bronstein
    论文链接:https://arxiv.org/abs/1806.04728


    6、Region Proposal by Guided Anchoring
    作者:Jiaqi Wang, Kai Chen, Shuo Yang, Chen Change Loy, Dahua Lin
    论文链接:https://arxiv.org/abs/1901.03278
    论文解读:https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9_c-SH4g
    Github链接:https://github.com/open-mmlab/mmdetection


    7、Less is More: Learning Highlight Detection from Video Duration
    作者:Bo Xiong, Yannis Kalantidis, Deepti Ghadiyaram, Kristen Grauman
    论文链接:https://arxiv.org/abs/1903.00859


    8、AIRD: Adversarial Learning Framework for Image Repurposing Detection
    作者:Ayush Jaiswal, Yue Wu, Wael AbdAlmageed, Iacopo Masi, Premkumar Natarajan
    论文链接:https://arxiv.org/abs/1903.00788


    9、Feature Selective Anchor-Free Module for Single-Shot Object Detection
    作者:Chenchen Zhu, Yihui He, Marios Savvides
    论文链接:https://arxiv.org/abs/1903.00621
    论文解读:CVPR2019 | FSAF:来自CMU的Single-Shot目标检测算法
    一作直播:CVPR2019 专题直播 | CMU 诸宸辰:基于 Anchor-free 特征选择模块的单阶目标检测



    10、Learning Attraction Field Representation for Robust Line Segment Detection
    作者:Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
    论文链接:https://arxiv.org/abs/1812.02122
    代码链接:https://github.com/cherubicXN/afm_cvpr2019



    11、Latent Space Autoregression for Novelty Detection
    作者:Davide Abati, Angelo Porrello, Simone Calderara, Rita Cucchiara
    论文链接:https://arxiv.org/abs/1807.01653
    代码链接: https://github.com/aimagelab/novelty-detection
     

    12、Strong-Weak Distribution Alignment for Adaptive Object Detection
    作者:Kuniaki Saito, Yoshitaka Ushiku, Tatsuya Harada, Kate Saenko
    论文链接:https://arxiv.org/abs/1812.04798


    13、Few-shot Adaptive Faster R-CNN
    作者:Tao Wang, Xiaopeng Zhang, Li Yuan, Jiashi Feng
    论文链接:https://arxiv.org/abs/1903.09372


    14、Attention Based Glaucoma Detection: A Large-scale Database and CNN Model
    作者:Liu Li, Mai Xu, Xiaofei Wang, Lai Jiang, Hanruo Liu
    论文链接:https://arxiv.org/abs/1903.10831


    15、Bounding Box Regression with Uncertainty for Accurate Object Detection(目标检测边界框回归损失算法)
    作者:Yihui He, Chenchen Zhu, Jianren Wang, Marios Savvides, Xiangyu Zhang
    论文链接:https://arxiv.org/abs/1809.08545
    代码链接:https://github.com/yihui-he/KL-Loss
     

    16、Precise Detection in Densely Packed Scenes
    作者:Eran Goldman , Roei Herzig, Aviv Eisenschtat, Jacob Goldberger, Tal Hassner
    论文链接:https://arxiv.org/abs/1904.00853


    17、Activity Driven Weakly Supervised Object Detection
    作者:Zhenheng Yang, Dhruv Mahajan, Deepti Ghadiyaram, Ram Nevatia, Vignesh Ramanathan
    论文链接:https://arxiv.org/pdf/1904.01665.pdf


    18、Monocular 3D Object Detection Leveraging Accurate Proposals and Shape Reconstruction
    作者:Jason Ku, Alex D. Pon, Steven L. Waslander
    论文链接:https://arxiv.org/pdf/1904.01690.pdf


    19、Libra R-CNN: Towards Balanced Learning for Object Detection(目标检测)
    作者:Jiangmiao Pang, Kai Chen, Jianping Shi, Huajun Feng, Wanli Ouyang, Dahua Lin
    论文链接:https://arxiv.org/abs/1904.02701


    20、Moving Object Detection under Discontinuous Change in Illumination Using Tensor Low-Rank and Invariant Sparse Decomposition
    作者:Moein Shakeri, Hong Zhang
    论文链接:https://arxiv.org/abs/1904.03175


    21、Towards Universal Object Detection by Domain Attention
    作者:Xudong Wang, Zhaowei Cai, Dashan Gao, Nuno Vasconcelos
    论文链接:https://arxiv.org/abs/1904.04402
    项目链接:http://www.svcl.ucsd.edu/projects/universal-detection/


    22、NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection
    作者:Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le
    论文链接:https://arxiv.org/abs/1904.07392


    23、Deep Anomaly Detection for Generalized Face Anti-Spoofing
    作者:Daniel Pérez-Cabo, David Jiménez-Cabello, Artur Costa-Pazo, Roberto J. López-Sastre
    论文链接:https://arxiv.org/abs/1904.08241


    24、Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
    作者:Zhe Wu, Li Su, Qingming Huang
    论文链接:https://arxiv.org/abs/1904.08739



    25、A Simple Pooling-Based Design for Real-Time Salient Object Detection
    作者:Jiang-Jiang Liu, Qibin Hou, Ming-Ming Cheng, Jiashi Feng, Jianmin Jiang
    论文链接:https://arxiv.org/abs/1904.09569
    源码链接:http://mmcheng.net/poolnet/
     

    26、CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection
    作者:Lu Zhang; Huchuan Lu ; Zhe Lin ; Jianming Zhang; You He
    论文链接:https://drive.google.com/open?id=1JcZMHBXEX-7AR1P010OXg_wCCC5HukeZ (需要申请)
    源码链接:https://github.com/zhangludl/code-and-dataset-for-CapSal


    27、Deep Fitting Degree Scoring Network for Monocular 3D Object Detection
    作者:Lijie Liu1, Jiwen Lu, Chunjing Xu, Qi Tian, Jie Zhou
    论文链接:https://arxiv.org/pdf/1904.12681.pdf


    28、A Mutual Learning Method for Salient Object Detection with intertwined Multi-Supervision
    作者:Runmin Wu, Mengyang Feng, Wenlong Guan, Dong Wang, Huchuan Lu, Errui Ding
    论文链接:待定
    源码链接:https://github.com/JosephineRabbit/MLMSNet


    29、ScratchDet:Exploring to Train Single-Shot Object Detectors from Scratch(Oral)
    作者:Rui Zhu, Shifeng Zhang, Xiaobo Wang, Longyin Wen, Hailin Shi, Liefeng Bo, Tao Mei
    论文链接:https://arxiv.org/abs/1810.08425v3
    源码链接:https://github.com/KimSoybean/ScratchDet
    论文解读:CVPR 2019 Oral | 京东AI研究院提出 ScratchDet:随机初始化训练SSD目标检测器


    30、Pyramid Feature Attention Network for Saliency detection
    作者:Ting Zhao, Xiangqian Wu
    论文链接:https://arxiv.org/abs/1903.00179
    源码链接:https://github.com/CaitinZhao/cvpr2019_Pyramid-Feature-Attention-Network-for-Saliency-detection


    31、Shifting More Attention to Video Salient Objection Detection(Oral)
    作者:Deng-Ping Fan, Wenguan Wang, Ming-Ming Cheng, Jianbing Shen
    论文链接:待定
    源码链接:https://github.com/DengPingFan/DAVSOD


    32、PPGNet: Learning Point-Pair Graph for Line Segment Detection
    作者:Ziheng Zhang, Zhengxin Li, Ning Bi, Jia Zheng, Jinlei Wang, Kun Huang, Weixin Luo, Yanyu Xu, Shenghua Gao
    论文链接:https://arxiv.org/abs/1905.03415
    源码链接:https://github.com/svip-lab/PPGNet


    33、Diversify and Match: A Domain Adaptive Representation Learning Paradigm for Object Detection
    作者:Taekyung Kim, Minki Jeong, Seunghyeon Kim, Seokeon Choi, Changick Kim
    论文链接:https://arxiv.org/abs/1905.05396


    34、Direction-aware Spatial Context Features for Shadow Detection(Oral)
    作者:Xiaowei Hu, Chi-Wing Fu, Lei Zhu, Jing Qin and Pheng-Ann Heng
    论文链接:待更新
    源码链接:https://github.com/xw-hu/DSC


    35、FastDraw: Addressing the Long Tail of Lane Detection by Adapting a Sequential Prediction Network
    作者:Jonah Philion
    论文链接:https://arxiv.org/abs/1905.04354


    36、An Iterative and Cooperative Top-down and Bottom-up Inference Network for Salient Object Detection(南开大学)
    作者:Wenguan Wang, Jianbing Shen, Ming-Ming Cheng, Ling Shao
    论文链接:http://mftp.mmcheng.net/Papers/19cvprIterativeSOD.pdf


    37、Contrast Prior and Fluid Pyramid Integration for RGBD Salient Object Detection(南开大学)
    作者:Jiaxing Zhao, Yang Cao, Deng-Ping Fan, Xuan-Yi Li, Le Zhang, Ming-Ming Cheng. ( co-first author)
    论文链接:http://dpfan.net/wp-content/uploads/19cvprRrbdSOD-cameraReady.pdf
    项目链接:https://mmcheng.net/rgbdsalpyr/


    38、Bottom-up Object Detection by Grouping Extreme and Center Points
    作者:Xingyi Zhou, Jiacheng Zhuo, Philipp Krähenbühl
    论文链接:https://arxiv.org/abs/1901.08043
    源码链接:https://github.com/xingyizhou/ExtremeNet


    39、Exploring the Bounds of the Utility of Context for Object Detection
    探讨用于物体检测的上下文效用的界限
    作者:Ehud Barnea, Ohad Ben-Shahar
    论文链接:https://arxiv.org/abs/1711.05471v4
    源码链接:https://github.com/EhudBarnea/ContextAnalysis



     

    分割

    1、Attention-guided Unified Network for Panoptic Segmentation
    作者:Yanwei Li, Xinze Chen, Zheng Zhu, Lingxi Xie, Guan Huang, Dalong Du, Xingang Wang
    论文链接:https://arxiv.org/abs/1812.03904
    论文解读:https://mp.weixin.qq.com/s/1tohID6SM3weS476XU5okw


    2、FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
    作者:Paul Voigtlaender, Yuning Chai, Florian Schroff, Hartwig Adam, Bastian Leibe, Liang-Chieh Chen
    论文链接:https://arxiv.org/abs/1902.09513


    3、Associatively Segmenting Instances and Semantics in Point Clouds
    作者:Xinlong Wang, Shu Liu, Xiaoyong Shen, Chunhua Shen, Jiaya Jia
    论文链接:https://arxiv.org/abs/1902.09852
    代码链接:https://github.com/WXinlong/ASIS


    4、3D-SIS: 3D Semantic Instance Segmentation of RGB-D Scans
    作者:Ji Hou Angela Dai Matthias Nießner
    论文链接:https://niessnerlab.org/projects/hou20183dsis.html
    YouTube视频:https://youtu.be/IH9rNLD1-JE


    5、Data augmentation using learned transforms for one-shot medical image segmentation
    作者:Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
    论文链接:https://arxiv.org/abs/1902.09383


    6、FickleNet: Weakly and Semi-supervised Semantic Image Segmentation using Stochastic Inference
    作者:Jungbeom Lee, Eunji Kim, Sungmin Lee, Jangho Lee, Sungroh Yoon
    论文链接:https://arxiv.org/abs/1902.10421



    7、Dual Attention Network for Scene Segmentation
    作者:Jun Fu, Jing Liu, Haijie Tian, Yong Li, Yongjun Bao, Zhiwei Fang, Hanqing Lu
    论文链接:https://arxiv.org/abs/1809.02983
    Github源码:https://github.com/junfu1115/DANet


    8、Mask Scoring R-CNN
    作者:Zhaojin Huang, Lichao Huang, Yongchao Gong, Chang Huang, Xinggang Wang
    论文链接:https://arxiv.org/abs/1903.00241
    Github链接:https://github.com/zjhuang22/maskscoring_rcnn
    论文解读:https://mp.weixin.qq.com/s/aP7O7AF6WoynWK_FFHkOTw


    9、Hybrid Task Cascade for Instance Segmentation(实例分割)
    作者:Kai Chen, Jiangmiao Pang, Jiaqi Wang, Yu Xiong, Xiaoxiao Li, Shuyang Sun, Wansen Feng, Ziwei Liu, Jianping Shi, Wanli Ouyang, Chen Change Loy, Dahua Lin
    论文链接:https://arxiv.org/abs/1901.07518
    论文解读:https://mp.weixin.qq.com/s/xug0xKfc9RgJEUci1a_xog
    Github链接:https://github.com/open-mmlab/mmdetection


    10、Object Counting and Instance Segmentation with Image-level Supervision
    作者:Hisham Cholakkal, Guolei Sun (equal contribution), Fahad Shahbaz Khan, Ling Shao
    论文链接:https://arxiv.org/abs/1903.02494


    11、MS-TCN: Multi-Stage Temporal Convolutional Network for Action Segmentation
    作者:Yazan Abu Farha, Juergen Gall
    论文链接:https://arxiv.org/abs/1903.01945


    12、Structured Knowledge Distillation for Semantic Segmentation(语义分割)
    作者:Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang
    论文链接:https://arxiv.org/abs/1903.04197


    13、RVOS: End-to-End Recurrent Network for Video Object Segmentation
    作者:Carles Ventura, Miriam Bellver, Andreu Girbau, Amaia Salvador, Ferran Marques, Xavier Giro-i-Nieto
    论文链接:https://arxiv.org/abs/1903.05612
    项目链接:https://imatge-upc.github.io/rvos/


    14、Structured Knowledge Distillation for Semantic Segmentation(语义分割)
    作者:Yifan Liu, Ke Chen, Chris Liu, Zengchang Qin, Zhenbo Luo, Jingdong Wang
    论文链接:https://arxiv.org/abs/1903.04197


    15、Knowledge Adaptation for Efficient Semantic Segmentation(语义分割)
    作者:Tong He, Chunhua Shen, Zhi Tian, Dong Gong, Changming Sun, Youliang Yan
    论文链接:https://arxiv.org/abs/1903.04688


    16、Improving Semantic Segmentation via Video Propagation and Label Relaxation(oral)
    作者:Yi Zhu, Karan Sapra, Fitsum A. Reda, Kevin J. Shih, Shawn Newsam, Andrew Tao, Bryan Catanzaro
    论文链接:https://arxiv.org/abs/1812.01593


    17、In Defense of Pre-trained ImageNet Architectures for Real-time Semantic Segmentation of Road-driving Images
    作者:Marin Oršić, Ivan Krešo, Petra Bevandić, Siniša Šegvić
    论文链接:https://arxiv.org/abs/1903.08469
    代码链接:https://github.com/orsic/swiftnet


    18、Large-scale interactive object segmentation with human annotators
    作者:Rodrigo Benenson, Stefan Popov, Vittorio Ferrari
    论文链接:https://arxiv.org/abs/1903.10830
    BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
    作者:Brent A. Griffin, Jason J. Corso
    论文链接:https://arxiv.org/abs/1903.11779


    19、Pose2Seg: Detection Free Human Instance Segmentation
    作者:Song-Hai Zhang, Ruilong Li, Xin Dong, Paul L. Rosin, Zixi Cai, Han Xi, Dingcheng Yang, Hao-Zhi Huang, Shi-Min Hu
    论文链接:https://arxiv.org/abs/1803.10683
    项目链接:http://www.liruilong.cn/Pose2Seg/index.html
    代码链接:https://github.com/liruilong940607/OCHumanApi


    20、BubbleNets: Learning to Select the Guidance Frame in Video Object Segmentation by Deep Sorting Frames
    作者:Brent A. Griffin, Jason J. Corso
    论文链接:https://arxiv.org/abs/1903.11779


    21、JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields(Oral)
    作者:Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
    论文链接:https://arxiv.org/abs/1904.00699
    项目链接:https://pqhieu.github.io/cvpr19.html


    22、Spatiotemporal CNN for Video Object Segmentation
    作者:Kai Xu, Longyin Wen, Guorong Li, Liefeng Bo, Qingming Huang
    论文链接:https://arxiv.org/abs/1904.02363
    代码链接:https://github.com/longyin880815/STCNN


    23、Data augmentation using learned transformsfor one-shot medical image segmentation
    作者:Amy Zhao, Guha Balakrishnan, Frédo Durand, John V. Guttag, Adrian V. Dalca
    论文链接:https://arxiv.org/pdf/1902.09383.pdf
    源码链接:https://github.com/xamyzhao/brainstorm


    24、DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency (Oral )
    作者:Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang
    论文链接:http://cvlab.citi.sinica.edu.tw/images/paper/cvpr-hsu19.pdf
    源码链接:https://github.com/KuangJuiHsu/DeepCO3


    25、Cross-Modal Self-Attention Network for Referring Image Segmentation
    作者:Linwei Ye, Mrigank Rochan, Zhi Liu, Yang Wang
    论文链接:https://arxiv.org/abs/1904.04745


    26、Weakly Supervised Learning of Instance Segmentation with Inter-pixel Relations(Oral)
    作者:Jiwoon Ahn, Sunghyun Cho, Suha Kwak
    论文链接:https://arxiv.org/abs/1904.05044


    27、Adaptive Weighting Multi-Field-of-View CNN for Semantic Segmentation in Pathology
    作者:Hiroki Tokunaga, Yuki Teramoto, Akihiko Yoshizawa, Ryoma Bise
    论文链接:https://arxiv.org/abs/1904.06040


    28、A Relation-Augmented Fully Convolutional Network for Semantic Segmentationin Aerial Scenes
    作者:Lichao Mou, Yuansheng Hua, Xiao Xiang Zhu
    论文链接:https://arxiv.org/abs/1904.05730


    29、DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation(旷视)
    作者:Hanchao Li, Pengfei Xiong,Haoqiang Fan,Jian Sun
    论文链接:https://share.weiyun.com/5NgHbWH


    30、Exploiting Computation Power of Blockchain for Biomedical Image Segmentation
    作者:Boyang Li, Changhao Chenli, Xiaowei Xu, Taeho Jung, Yiyu Shi
    论文链接:https://arxiv.org/abs/1904.07349


    31、MHP-VOS: Multiple Hypotheses Propagation for Video Object Segmentation(Oral)
    作者:Shuangjie Xu, Daizong Liu, Linchao Bao, Wei Liu, Pan Zhou
    论文链接:https://arxiv.org/abs/1904.08141


    32、Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
    作者:Zihao Liu, Xiaowei Xu, Tao Liu, Qi Liu, Yanzhi Wang, Yiyu Shi, Wujie Wen, Meiping Huang, Haiyun Yuan, Jian Zhuang
    论文链接:https://arxiv.org/abs/1904.08487


    33、Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
    作者:Seoung Wug Oh, Joon-Young Lee, Ning Xu, Seon Joo Kim
    论文链接:https://arxiv.org/abs/1904.09791


    34、Box-driven Class-wise Region Masking and Filling Rate Guided Loss for Weakly Supervised Semantic Segmentation
    作者:Chunfeng Song, Yan Huang, Wanli Ouyang, Liang Wang
    论文链接:https://arxiv.org/abs/1904.11693


    35、Bidirectional Learning for Domain Adaptation of Semantic Segmentation
    作者:Yunsheng Li, Lu Yuan, Nuno Vasconcelos
    论文链接:https://arxiv.org/abs/1904.10620
    源码链接:https://github.com/liyunsheng13/BDL


    36、Learning Unsupervised Video Primary Object Segmentation through Visual Attention
    作者:Wenguan Wang, Hongmei Song, Shuyang Zhao, Jianbing Shen, Sanyuan Zhao, Steven Chu Hong Hoi, and Haibin Ling
    论文链接:http://www.dabi.temple.edu/~hbling/publication/UVOS-cvpr19.pdf
    源码链接:https://github.com/wenguanwang/AGS


    37、Elastic Boundary Projection for 3D Medical Image Segmentation
    作者:Tianwei Ni, Lingxi Xie, Huangjie Zheng, Elliot K. Fishman, Alan L. Yuille
    论文链接:https://arxiv.org/abs/1812.00518
    源码链接:https://github.com/twni2016/Elastic-Boundary-Projection


    38、Seamless Scene Segmentation
    作者:Lorenzo Porzi, Samuel Rota Bulò, Aleksander Colovic, Peter Kontschieder
    论文链接:https://arxiv.org/abs/1905.01220


    39、SCOPS: Self-Supervised Co-Part Segmentation
    作者:Wei-Chih Hung, Varun Jampani, Sifei Liu, Pavlo Molchanov, Ming-Hsuan Yang, Jan Kautz
    论文链接:https://arxiv.org/abs/1905.01298
    项目链接:https://varunjampani.github.io/scops/


    40、Interactive Full Image Segmentation by Considering All Regions Jointly
    作者:Eirikur Agustsson, Jasper R. R. Uijlings, Vittorio Ferrari
    论文链接:https://arxiv.org/pdf/1812.01888.pdf


    41、An End-to-End Network for Panoptic Segmentation
    作者:Huanyu Liu, Chao Peng, Changqian Yu, Jingbo Wang, Xu Liu, Gang Yu, Wei Jiang
    论文链接:https://arxiv.org/pdf/1903.05027.pdf


    42、Panoptic Feature Pyramid Networks(Oral)
    作者:Alexander Kirillov, Ross Girshick, Kaiming He, Piotr Dollár
    论文链接:https://arxiv.org/pdf/1901.02446.pdf


    43、Panoptic Segmentation
    作者:Alexander Kirillov, Kaiming He, Ross Girshick, Carsten Rother, Piotr Dollár
    论文链接:https://arxiv.org/pdf/1801.00868.pdf


    44、DARNet: Deep Active Ray Network for Building Segmentation
    作者:Dominic Cheng, Renjie Liao, Sanja Fidler, Raquel Urtasun
    论文链接:https://arxiv.org/abs/1905.05889



    45、Amodal Instance Segmentation through KINS Dataset
    作者:Lu Qi, Li Jiang, Shu Liu, Xiaoyong Shen, Jiaya Jia
    论文链接:http://jiaya.me/papers/amodel_cvpr19.pdf


    46、DeepCO3: Deep Instance Co-segmentation by Co-peak Search and Co-saliency Detection(Oral)
    作者:Kuang-Jui Hsu, Yen-Yu Lin, Yung-Yu Chuang
    论文链接:https://www.csie.ntu.edu.tw/~cyy/publications/papers/Hsu2019DCO.pdf
    源码链接:https://github.com/KuangJuiHsu/DeepCO3


    47、ADVENT: Adversarial Entropy Minimization for Domain Adaptation in Semantic Segmentation
    作者:Tuan-Hung Vu, Himalaya Jain, Maxime Bucher, Matthieu Cord, Patrick Pérez
    论文链接:https://arxiv.org/abs/1811.12833
    源码链接:https://github.com/valeoai/ADVENT


    48、Collaborative Global-Local Networks for Memory-Efficient Segmentation of Ultra-High Resolution Images(Oral)
    作者:Wuyang Chen, Ziyu Jiang, Zhangyang Wang, Kexin Cui, and Xiaoning Qian
    论文链接:https://arxiv.org/abs/1905.06368
    源码链接:https://github.com/chenwydj/ultra_high_resolution_segmentation


    49、S4Net: Single Stage Salient-Instance Segmentation(南开大学)
    作者:Ruochen Fan, Ming-Ming Cheng, Qibin Hou, Tai-Jiang Mu, Jingdong Wang, Shi-Min Hu
    论文链接:http://mftp.mmcheng.net/Papers/19cvprS4Net.pdf
    源码链接:https://github.com/RuochenFan/S4Net
    项目链接:https://mmcheng.net/s4net/


    50、Auto-DeepLab: Hierarchical Neural Architecture Search for Semantic Image Segmentation(Oral)
    作者:Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
    论文链接:https://arxiv.org/abs/1901.02985
    源码链接:https://github.com/tensorflow/models/tree/master/research/deeplab



     

    分类、识别

    1、Learning a Deep ConvNet for Multi-label Classification with Partial Labels(分类)
    作者:Thibaut Durand, Nazanin Mehrasa, Greg Mori
    论文链接:https://arxiv.org/abs/1902.09720


    2、Efficient Video Classification Using Fewer Frames
    作者:Shweta Bhardwaj, Mukundhan Srinivasan, Mitesh M. Khapra
    论文链接:https://arxiv.org/abs/1902.10640


    3、Weakly Supervised Complementary Parts Models for Fine-Grained Image Classification from the Bottom Up
    作者:Weifeng Ge, Xiangru Lin, Yizhou Yu
    论文链接:https://arxiv.org/abs/1903.02827


    4、All You Need is a Few Shifts: Designing Efficient Convolutional Neural Networks for Image Classification(分类)
    作者:Weijie Chen, Di Xie, Yuan Zhang, Shiliang Pu
    论文链接:https://arxiv.org/abs/1903.05285


    5、Bag of Tricks for Image Classification with Convolutional Neural Networks
    作者:Tong He, Zhi Zhang, Hang Zhang, Zhongyue Zhang, Junyuan Xie, Mu Li
    论文链接:https://arxiv.org/abs/1812.01187
    源码链接:https://github.com/dmlc/gluon-cv
    论文解读:图像分类技巧:Bag of Tricks for Image Classification with Convolutional Neural Networks


    6、Direct Object Recognition Without Line-of-Sight Using Optical Coherence(目标识别)
    作者:Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
    论文链接:https://arxiv.org/abs/1903.07705


    7、Direct Object Recognition Without Line-of-Sight Using Optical Coherence(非视距物体识别技术)
    作者:Xin Lei, Liangyu He, Yixuan Tan, Ken Xingze Wang, Xinggang Wang, Yihan Du, Shanhui Fan, Zongfu Yu
    论文链接:https://arxiv.org/abs/1903.07705


    8、C2AE: Class Conditioned Auto-Encoder for Open-set Recognition(Oral)
    作者:Poojan Oza, Vishal M Patel
    论文链接:https://arxiv.org/abs/1904.01198


    9、Multispectral Imaging for Fine-Grained Recognition of Powders on Complex Backgrounds(Oral)
    作者:Tiancheng Zhi, Bernardo R. Pires, Martial Hebert and Srinivasa G. Narasimhan
    论文链接:http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/files/ZPHN-CVPR19.pdf
    代码链接:https://github.com/tiancheng-zhi/ms-powder
    项目链接:http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/


    10、Large-Scale Long-Tailed Recognition in an Open World(Oral)
    作者:Ziwei Liu, Zhongqi Miao, Xiaohang Zhan, Jiayun Wang, Boqing Gong, Stella X. Yu
    论文链接:https://github.com/ofsoundof/3D_Appearance_SR/blob/master/code/scripts/3d_appearance_sr.pdf
    源码链接:https://github.com/zhmiao/OpenLongTailRecognition-OLTR


    11、Multi-Label Image Recognition with Graph Convolutional Networks(多标签图像识别)
    作者:Zhao-Min Chen, Xiu-Shen Wei, Peng Wang, Yanwen Guo
    论文链接:https://arxiv.org/abs/1904.03582
    源码链接:https://github.com/chenzhaomin123/ML_GCN
    简介:本工作针对多标记识别的核心问题,即“如何有效建模标记间的协同关系”进行探索,提出基于图卷积(GCN)的端到端系统,通过data-driven方式建立标记间有向图(directed graph)并由GCN将类别标记映射(mapping)为对应类别分类器,以此建模类别关系,同时可提升表示学习能力。此外针对GCN中的关键元素correlation matrix进行了深入分析和重设计,使其更胜任多标记问题。


    12、Gait Recognition via Disentangled Representation Learning(Oral 步态识别)
    作者:Ziyuan Zhang, Luan Tran, Xi Yin, Yousef Atoum, Xiaoming Liu, Jian Wan, Nanxin Wang
    论文链接:https://arxiv.org/abs/1904.04925


    13、Adaptively Connected Neural Networks(分类)
    作者:Guangrun Wang, Keze Wang, Liang Lin
    论文链接:https://arxiv.org/abs/1904.03579
    源码链接:https://github.com/wanggrun/Adaptively-Connected-Neural-Networks


    14、Aggregation Cross-Entropy for Sequence Recognition
    作者:Zecheng Xie, Yaoxiong Huang, Yuanzhi Zhu, Lianwen Jin, Yuliang Liu, Lele Xie
    论文链接:https://arxiv.org/abs/1904.08364


    15、Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset
    作者:Martin Mundt, Sagnik Majumder, Sreenivas Murali, Panagiotis Panetsos, Visvanathan Ramesh
    论文链接:https://arxiv.org/abs/1904.08486


    16、Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
    作者:Junbao Zhuo, Shuhui Wang, Shuhao Cui, Qingming Huang
    论文链接:https://arxiv.org/abs/1904.08631


    17、Translate-to-Recognize Networks for RGB-D Scene Recognition
    作者:Dapeng Du, Limin Wang, Huiling Wang, Kai Zhao, Gangshan Wu
    论文链接:https://arxiv.org/abs/1904.12254
    源码链接:https://ownstyledu.github.io/Translate-to-Recognize-Networks/


    18、Progressive Ensemble Networks for Zero-Shot Recognition
    作者:Meng Ye, Yuhong Guo
    论文链接:https://arxiv.org/pdf/1805.07473.pdf


    19、Generalized Zero-Shot Recognition based on Visually Semantic Embedding
    作者:Pengkai Zhu, Hanxiao Wang, Venkatesh Saligrama
    论文链接:https://arxiv.org/pdf/1811.07993.pdf



     

    跟踪

    1、Fast Online Object Tracking and Segmentation: A Unifying Approach(SiamMask,目标跟踪)
    作者:Qiang Wang, Li Zhang, Luca Bertinetto, Weiming Hu, Philip H.S. Torr
    论文链接:https://arxiv.org/abs/1812.05050
    Github链接:https://github.com/foolwood/SiamMask
    project链接:http://www.robots.ox.ac.uk/~qwang/SiamMask/
    论文解读:CVPR2019 | SiamMask:视频跟踪最高精度


    2、Deeper and Wider Siamese Networks for Real-Time Visual Tracking(CIR,目标跟踪)
    作者:Zhipeng Zhang, Houwen Peng
    论文链接:https://arxiv.org/pdf/1901.01660.pdf
    Code链接:https://gitlab.com/MSRA_NLPR/deeper_wider_siamese_trackers


    3、SiamRPN++: Evolution of Siamese Visual Tracking with Very Deep Networks(目标跟踪)
    作者:Bo Li, Wei Wu, Qiang Wang, Fangyi Zhang, Junliang Xing, Junjie Yan
    论文链接:https://arxiv.org/pdf/1812.11703.pdf
    Project链接:http://bo-li.info/SiamRPN++/
    论文解读:https://mp.weixin.qq.com/s/dB5u2No8eakLnrjto0kvyQ


    4、Siamese Cascaded Region Proposal Networks for Real-Time Visual Tracking(CRPN,目标跟踪)
    作者:Heng Fan, Haibin Ling
    论文链接:https://arxiv.org/pdf/1812.06148.pdf


    5、LaSOT: A High-quality Benchmark for Large-scale Single Object Tracking(目标跟踪)
    作者:Heng Fan, Liting Lin, Fan Yang, Peng Chu, Ge Deng, Sijia Yu, Hexin Bai, Yong Xu, Chunyuan Liao, Haibin Ling
    论文链接:https://arxiv.org/pdf/1809.07845.pdf
    project链接:https://cis.temple.edu/lasot/


    6、Leveraging Shape Completion for 3D Siamese Tracking
    作者:Silvio Giancola, Jesus Zarzar, Bernard Ghanem
    论文链接:https://arxiv.org/abs/1903.01784


    7、Cross-Classification Clustering: An Efficient Multi-Object Tracking Technique for 3-D Instance Segmentation in Connectomics(多目标跟踪)
    作者:Yaron Meirovitch, Lu Mi, Hayk Saribekyan, Alexander Matveev, David Rolnick, Casimir Wierzynski, Nir Shavit
    论文链接:https://arxiv.org/abs/1812.01157


    8、Multiview 2D/3D Rigid Registration via a Point-Of-Interest Network for Tracking and Triangulation (POINT^2)
    作者:Haofu Liao, Wei-An Lin, Jiarui Zhang, Jingdan Zhang, Jiebo Luo, S. Kevin Zhou
    论文链接:https://arxiv.org/abs/1903.03896


    9、Inverse Path Tracing for Joint Material and Lighting Estimation(Oral)
    作者:Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan
    论文链接:https://arxiv.org/abs/1903.07145


    10、Inverse Path Tracing for Joint Material and Lighting Estimation(Oral)
    作者:Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan
    论文链接:https://arxiv.org/abs/1903.07145
     

    11、Multi-person Articulated Tracking with Spatial and Temporal Embeddings
    作者:Sheng Jin, Wentao Liu, Wanli Ouyang, Chen Qian
    论文链接:https://arxiv.org/abs/1903.09214


    12、CityFlow: A City-Scale Benchmark for Multi-Target Multi-Camera Vehicle Tracking and Re-Identification
    作者:Zheng Tang, Milind Naphade, Ming-Yu Liu, Xiaodong Yang, Stan Birchfield, Shuo Wang, Ratnesh Kumar, David Anastasiu, Jenq-Neng Hwang
    论文链接:https://arxiv.org/abs/1903.09254


    13、MOTS: Multi-Object Tracking and Segmentation
    作者:Paul Voigtlaender, Michael Krause, Aljosa Osep, Jonathon Luiten, Berin Balachandar Gnana Sekar, Andreas Geiger, Bastian Leibe
    论文链接:https://arxiv.org/abs/1902.03604


    14、Target-Aware Deep Tracking
    作者:Xin Li, Chao Ma, Baoyuan Wu, Zhenyu He, Ming-Hsuan Yang
    论文链接:https://arxiv.org/pdf/1904.01772.pdf


    15、Unsupervised Deep Tracking
    作者:Ning Wang, Yibing Song, Chao Ma, Wengang Zhou, Wei Liu, Houqiang Li
    论文链接:https://arxiv.org/pdf/1904.01828.pdf


    16、Beyond Tracking: Selecting Memory and Refining Poses for Deep Visual Odometry(Oral)
    作者:Fei Xue, Xin Wang, Shunkai Li, Qiuyuan Wang, Junqiu Wang, Hongbin Zha
    论文链接:https://arxiv.org/abs/1904.01892


    17、SPM-Tracker: Series-Parallel Matching for Real-Time Visual Object Tracking(视觉跟踪)
    作者:Guangting Wang, Chong Luo, Zhiwei Xiong, Wenjun Zeng
    论文链接:https://arxiv.org/abs/1904.04452


    18、Graph Convolutional Tracking
    作者:Junyu Gao,Tianzhu Zhang,Changsheng Xu
    论文链接:http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html


    19、ATOM: Accurate Tracking by Overlap Maximization(Oral,目标跟踪)
    作者:Martin Danelljan, Goutam Bhat, Fahad Shahbaz Khan, Michael Felsberg
    论文链接:https://arxiv.org/abs/1811.07628
    源码链接:https://github.com/visionml/pytracking


    20、Visual Tracking via Adaptive Spatially-Regularized Correlation Filters(视觉跟踪)
    作者:Kenan Dai, Dong Wang, Huchuan Lu, Chong Sun, Jianhua Li
    论文链接:https://pan.baidu.com/s/1sD-w1tHfA5ZwIbrnCtUI2Q
    源码链接:https://github.com/Daikenan/ASRCF


     

    人脸

    1、Disentangled Representation Learning for 3D Face Shape
    作者:Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
    论文链接:https://arxiv.org/abs/1902.05978


    2、Joint Face Detection and Facial Motion Retargeting for Multiple Faces
    作者:Bindita Chaudhuri, Noranart Vesdapunt, Baoyuan Wang
    论文链接:https://arxiv.org/abs/1902.10744


    3、ArcFace: Additive Angular Margin Loss for Deep Face Recognition(人脸识别)
    作者:Jiankang Deng, Jia Guo, Niannan Xue, Stefanos Zafeiriou
    论文链接:https://arxiv.org/abs/1801.07698
    Demo链接:https://github.com/vita-epfl/openpifpafwebdemo


    4、Linkage Based Face Clustering via Graph Convolution Network
    作者:Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
    论文链接:https://arxiv.org/abs/1903.11306


    5、Learning to Cluster Faces on an Affinity Graph
    作者:Lei Yang, Xiaohang Zhan, Dapeng Chen, Junjie Yan, Chen Change Loy, Dahua Lin
    论文链接:https://arxiv.org/abs/1904.02749


    6、Deep Tree Learning for Zero-shot Face Anti-Spoofing(Oral)
    作者:Yaojie Liu, Joel Stehouwer, Amin Jourabloo, Xiaoming Liu
    论文链接:https://arxiv.org/abs/1904.02860


    7、Efficient Decision-based Black-box Adversarial Attacks on Face Recognition(人脸识别)
    作者:Yinpeng Dong, Hang Su, Baoyuan Wu, Zhifeng Li, Wei Liu, Tong Zhang, Jun Zhu
    论文链接:https://arxiv.org/abs/1904.04433


    8、Towards High-fidelity Nonlinear 3D Face Morphable Model
    作者:Luan Tran, Feng Liu, Xiaoming Liu
    论文链接:https://arxiv.org/abs/1904.04933
    项目链接:http://cvlab.cse.msu.edu/project-nonlinear-3dmm.html


    9、LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences
    作者:Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman
    论文链接:https://arxiv.org/abs/1904.07647


    10、Hierarchical Cross-Modal Talking Face Generationwith Dynamic Pixel-Wise Loss
    作者:Lele Chen, Ross K. Maddox, Zhiyao Duan, Chenliang Xu
    论文链接:https://arxiv.org/abs/1905.03820


    11、Deep Face Recognition via Exclusive Regularization(南开大学,人脸识别)
    作者:Kai Zhao, Jingyi Xu, Ming-Ming Cheng
    论文链接:http://mftp.mmcheng.net/Papers/19cvprRegularFace.pdf


    12、A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
    作者:Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
    论文链接:https://arxiv.org/abs/1811.11431
    源码链接:https://github.com/sacmehta/ESPNetv2



    13、MVF-Net: Multi-View 3D Face Morphable Model Regression

    MVF-Net:多视图3D面部可变模型回归

    作者:Fanzi Wu, Linchao Bao, Yajing Chen, Yonggen Ling, Yibing Song, Songnan Li, King Ngi Ngan, Wei Liu
    论文链接:https://arxiv.org/abs/1904.04473
    源码链接:https://github.com/Fanziapril/mvfnet



     

    人体姿态估计/手势姿态估计、位姿估计

    1、Deep High-Resolution Representation Learning for Human Pose Estimation(目前SOTA,已经开源)
    作者:Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang
    论文链接:https://128.84.21.199/abs/1902.09212
    代码链接:https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
    论文解读:https://mp.weixin.qq.com/s/ZRCzBTBmlEzQCVo1HLWtbQ


    2、DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
    作者:Chen Wang, Danfei Xu, Yuke Zhu, Roberto Martín-Martín, Cewu Lu, Li Fei-Fei, Silvio Savarese
    论文链接:https://arxiv.org/abs/1901.04780
    论文解读:https://mp.weixin.qq.com/s/wrND2cocWlPPVXPqpq-Glg


    3、RepNet: Weakly Supervised Training of an Adversarial Reprojection Network for 3D Human Pose Estimation
    作者:Bastian Wandt, Bodo Rosenhahn
    论文链接:https://arxiv.org/abs/1902.09868


    4、3D Hand Shape and Pose Estimation from a Single RGB Image
    作者:Liuhao Ge, Zhou Ren, Yuncheng Li, Zehao Xue, Yingying Wang, Jianfei Cai, Junsong Yuan
    论文链接:https://arxiv.org/abs/1903.00812


    5、Self-Supervised Learning of 3D Human Pose using Multi-view Geometry
    作者:Muhammed Kocabas, Salih Karagoz, Emre Akbas
    论文链接:https://arxiv.org/abs/1903.02330
    Github链接:https://github.com/mkocabas/EpipolarPose


    6、Fast and Robust Multi-Person 3D Pose Estimation from Multiple Views
    作者:Junting Dong, Wen Jiang, Qixing Huang, Hujun Bao, Xiaowei Zhou
    论文链接:https://arxiv.org/abs/1901.04111
    项目链接:https://zju-3dv.github.io/mvpose/
    代码链接:https://github.com/zju-3dv/mvpose


    7、Extreme Relative Pose Estimation for RGB-D Scans via Scene Completion (Oral)
    作者:Zhenpei Yang, Jeffrey Z.Pan, Linjie Luo, Xiaowei Zhou, Kristen Grauman and Qixing Huang
    论文链接:https://arxiv.org/pdf/1901.00063.pdf
    代码链接: https://github.com/zhenpeiyang/RelativePose


    8、PVNet: Pixel-wise Voting Network for 6DoF Pose Estimation
    作者:Sida Peng, Yuan Liu, Qixing Huang, Hujun Bao, and Xiaowei Zhou
    论文链接:https://arxiv.org/pdf/1812.11788.pdf


    9、PoseFix: Model-agnostic General Human Pose Refinement Network
    作者:Gyeongsik Moon, Ju Yong Chang, Kyoung Mu Lee
    论文链接:https://arxiv.org/abs/1812.03595
    源码链接:https://github.com/mks0601/PoseFix_RELEASE


    10、Normalized Object Coordinate Space for Category-Level 6D Object Pose and Size Estimation(oral)
    作者:He Wang, Srinath Sridhar, Jingwei Huang, Julien Valentin, Shuran Song, Leonidas J. Guibas
    论文链接:https://arxiv.org/abs/1901.02970


    11、PifPaf: Composite Fields for Human Pose Estimation(姿态估计)
    作者:Sven Kreiss, Lorenzo Bertoni, Alexandre Alahi
    论文链接:https://arxiv.org/abs/1903.06593
    Demo链接:https://github.com/vita-epfl/openpifpafwebdemo


    12、Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation(Oral,3D姿态估计)
    作者:Xipeng Chen, Kwan-Yee Lin, Wentao Liu, Chen Qian, Liang Lin
    论文链接:https://arxiv.org/abs/1903.08839


    13、CrowdPose: Efficient Crowded Scenes Pose Estimation and A New Benchmark
    作者:Jiefeng Li, Can Wang, Hao Zhu, Yihuan Mao, Hao-Shu Fang, Cewu Lu
    论文链接:https://arxiv.org/abs/1812.00324
    代码链接:https://github.com/Jeff-sjtu/CrowdPose


    14、Dense Intrinsic Appearance Flow for Human Pose Transfer
    作者:Yining Li, Chen Huang, Chen Change Loy
    论文链接:https://arxiv.org/abs/1903.11326


    15、Generating Multiple Hypotheses for 3D Human Pose Estimation with Mixture Density Network
    作者:Chen Li, Gim Hee Lee
    论文链接:https://arxiv.org/abs/1904.05547


    16、FSA-Net: Learning Fine-Grained Structure Aggregation for Head Pose Estimation from a Single Image
    作者:Tsun-Yi Yang, Yi-Ting Chen, Yen-Yu Lin, and Yung-Yu Chuang
    论文链接:https://github.com/shamangary/FSA-Net/blob/master/0191.pdf
    源码链接:https://github.com/shamangary/FSA-Net


    17、Segmentation-driven 6D Object Pose Estimation
    作者:Yinlin Hu, Joachim Hugonot, Pascal Fua, Mathieu Salzmann
    论文链接:https://arxiv.org/abs/1812.02541
    源码链接:https://github.com/cvlab-epfl/segmentation-driven-pose


    18、Progressive Pose Attention Transfer for Person Image Generation
    作者:Zhen Zhu, Tengteng Huang, Baoguang Shi, Miao Yu, Bofei Wang, Xiang Bai
    论文链接:https://arxiv.org/abs/1904.03349
    源码链接:https://github.com/tengteng95/Pose-Transfer


    19、Multi-Person Pose Estimation with Enhanced Channel-wise and Spatial Information
    作者:Kai Su, Dongdong Yu, Zhenqi Xu, Xin Geng, Changhu Wang
    论文链接:https://arxiv.org/abs/1905.03466


    20、Exploiting temporal context for 3D human pose estimation in the wild
    作者:Anurag Arnab, Carl Doersch, Andrew Zisserman
    论文链接:https://arxiv.org/abs/1905.04266


    21、In the Wild Human Pose Estimation Using Explicit 2D Features and Intermediate 3D Representations
    作者:Ikhsanul Habibie, Weipeng Xu, Dushyant Mehta, Gerard Pons-Moll, Christian Theobalt
    论文链接:https://arxiv.org/abs/1904.03289


    22、CrossInfoNet: Multi-Task Information Sharing Based Hand Pose Estimation(手势姿态估计)
    作者:Kuo Du, Xiangbo Lin, Yi Sun, Xiaohong Ma
    论文链接:待更新
    源码链接:https://github.com/dumyy/handpose


    23、Self supervised 3D hand pose estimation(Oral,手势姿态估计)
    作者:Shile Li, Dongheui Lee
    论文链接:http://www.vision.ee.ethz.ch/~wanc/papers/cvpr2019.pdf
    源码链接:https://github.com/melonwan/sphereHand


    24、Point-to-Pose Voting based Hand Pose Estimation using Residual Permutation Equivariant Layer(手势姿态估计)
    作者:Shile Li, Dongheui Lee
    论文链接:https://arxiv.org/pdf/1812.02050.pdf
     

    25、Disentangling Latent Hands for Image Synthesis and Pose Estimation
    作者:Linlin Yang, Angela Yao
    论文链接:https://arxiv.org/abs/1812.01002


    26、3D human pose estimation in video with temporal convolutions and semi-supervised training(Facebook)
    作者:Dario Pavllo, Christoph Feichtenhofer, David Grangier, Michael Auli
    论文链接:https://research.fb.com/wp-content/uploads/2019/05/3D-human-pose-estimation-in-video-with-temporal-convolutions-and-semi-supervised-training.pdf


     

    行为/动作识别、手势识别

    1、An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
    作者:Chenyang Si, Wentao Chen, Wei Wang, Liang Wang, Tieniu Tan
    论文链接:https://arxiv.org/abs/1902.09130


    2、Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
    作者:Mahdi Abavisani, Hamid Reza Vaezi Joze, Vishal M. Patel
    链接:https://arxiv.org/abs/1812.06145


    3、Collaborative Spatio-temporal Feature Learning for Video Action Recognition
    作者:Chao Li, Qiaoyong Zhong, Di Xie, Shiliang Pu
    论文链接:https://arxiv.org/abs/1903.01197


    4、Peeking into the Future: Predicting Future Person Activities and Locations in Videos(行为预测)
    作者:Junwei Liang, Lu Jiang, Juan Carlos Niebles, Alexander Hauptmann, Li Fei-Fei
    论文链接:https://arxiv.org/abs/1902.03748


    5、Neural Scene Decomposition for Multi-Person Motion Capture
    作者:Helge Rhodin, Victor Constantin, Isinsu Katircioglu, Mathieu Salzmann, Pascal Fua
    论文链接:https://arxiv.org/abs/1903.05684


    6、Action Recognition from Single Timestamp Supervision in Untrimmed Videos(动作识别)
    作者:Davide Moltisanti, Sanja Fidler, Dima Damen
    论文链接:https://arxiv.org/abs/1904.04689


    7、Pushing the Envelope for RGB-based Dense 3D Hand Pose Estimation via Neural Rendering
    作者:Seungryul Baek, Kwang In Kim, Tae-Kyun Kim
    论文链接:https://arxiv.org/abs/1904.04196


    8、Relational Action Forecasting(oral)
    作者:Chen Sun, Abhinav Shrivastava, Carl Vondrick, Rahul Sukthankar, Kevin Murphy, Cordelia Schmid
    论文链接:https://arxiv.org/abs/1904.04231


    9、H+O: Unified Egocentric Recognition of 3D Hand-Object Poses and Interactions(Oral)
    作者:Bugra Tekin, Federica Bogo, Marc Pollefeys
    论文链接:https://arxiv.org/abs/1904.05349



    10、Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
    作者:Devraj Mandal, Sanath Narayan, Saikumar Dwivedi, Vikram Gupta, Shuaib Ahmed, Fahad Shahbaz Khan, Ling Shao
    论文链接:https://arxiv.org/abs/1904.08703


    11、Actional-Structural Graph Convolutional Networks for Skeleton-based Action Recognition
    作者:Maosen Li, Siheng Chen, Xu Chen, Ya Zhang, Yanfeng Wang, and Qi Tian
    论文链接:https://arxiv.org/pdf/1904.12659.pdf


    12、A neural network based on SPD manifold learning for skeleton-based hand gesture recognition
    作者:Xuan Son Nguyen, Luc Brun, Olivier Lézoray, Sébastien Bougleux
    论文链接:https://arxiv.org/abs/1904.12970


    13、DMC-Net: Generating Discriminative Motion Cues for Fast Compressed Video Action Recognition(Facebook)
    作者:Zheng Shou, Xudong Lin, Yannis Kalantidis, Laura Sevilla-Lara, Marcus Rohrbach, Shih-Fu Chang, Zhicheng Yan
    论文链接:https://research.fb.com/wp-content/uploads/2019/05/DMC-Net-Generating-Discriminative-Motion-Cues-for-Fast-Compressed-Video-Action-Recognition.pdf


     

    时序动作检测及视频相关

    1、Spatio-Temporal Dynamics and Semantic Attribute Enriched Visual Encoding for Video Captioning
    作者:Nayyer Aafaq, Naveed Akhtar, Wei Liu, Syed Zulqarnain Gilani, Ajmal Mian
    论文链接:https://arxiv.org/abs/1902.10322
    来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q


    2、Single-frame Regularization for Temporally Stable CNNs(视频处理)
    作者:Gabriel Eilertsen, Rafał K. Mantiuk, Jonas Unger
    论文链接:https://arxiv.org/abs/1902.10424
    来源:https://mp.weixin.qq.com/s/61C-k3Ijy_7ry5B5lRML6Q


    3、Neural RGB-D Sensing: Depth estimation from a video
    作者:Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
    论文链接:https://arxiv.org/pdf/1901.02571.pdf
    project链接:https://research.nvidia.com/publication/2019-06_Neural-RGBD



    4、Competitive Collaboration: Joint Unsupervised Learning of Depth, CameraMotion, Optical Flow and Motion Segmentation
    作者:Anurag Ranjan, Varun Jampani, Kihwan Kim, Deqing Sun, Jonas Wulff, Michael J. Black
    论文链接:https://arxiv.org/pdf/1805.09806.pdf



    5、Representation Flow for Action Recognition
    作者:AJ Piergiovanni, Michael S. Ryoo
    论文链接:https://arxiv.org/abs/1810.01455
    项目链接:https://piergiaj.github.io/rep-flow-site/
    代码链接:https://github.com/piergiaj/representation-flow-cvpr19


    6、Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos
    作者:Romero Morais, Vuong Le, Truyen Tran, Budhaditya Saha, Moussa Mansour, Svetha Venkatesh
    论文链接:https://arxiv.org/abs/1903.03295


    7、Video Generation from Single Semantic Label Map
    作者:Junting Pan, Chengyu Wang, Xu Jia, Jing Shao, Lu Sheng, Junjie Yan, Xiaogang Wang
    论文链接:https://arxiv.org/abs/1903.04480
    源码链接:https://github.com/junting/seg2vid/tree/master


    8、Inserting Videos into Videos
    作者:Donghoon Lee, Tomas Pfister, Ming-Hsuan Yang
    论文链接:https://arxiv.org/abs/1903.06571


    9、Recurrent Back-Projection Network for Video Super-Resolution
    作者:Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita
    论文链接:https://alterzero.github.io/projects/rbpn_cvpr2019.pdf
    代码链接:https://github.com/alterzero/RBPN-PyTorch
    项目链接:https://alterzero.github.io/projects/RBPN.html


    10、Depth-Aware Video Frame Interpolation
    作者:Wenbo Bao Wei-Sheng Lai, Chao Ma, Xiaoyun Zhang, Zhiyong Gao, and Ming-Hsuan Yang
    论文链接:https://sites.google.com/view/wenbobao/dain
    代码链接:https://github.com/baowenbo/DAIN



    11、Video Relationship Reasoning using Gated Spatio-Temporal Energy Graph
    作者:Yao-Hung Hubert Tsai, Santosh Divvala, Louis-Philippe Morency, Ruslan Salakhutdinov, Ali Farhadi
    论文链接:https://arxiv.org/abs/1903.10547


    12、Dual Encoding for Zero-Example Video Retrieval
    作者:Jianfeng Dong, Xirong Li, Chaoxi Xu, Shouling Ji, Yuan He, Gang Yang and Xun Wang
    论文链接:https://arxiv.org/abs/1809.06181
    代码链接:https://github.com/danieljf24/dual_encoding


    13、Rethinking the Evaluation of Video Summaries
    作者:Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit
    论文链接:https://arxiv.org/abs/1903.11328


    14、End-to-End Time-Lapse Video Synthesis from a Single Outdoor Image
    作者:Seonghyeon Nam, Chongyang Ma, Menglei Chai, William Brendel, Ning Xu, Seon Joo Kim
    论文链接:https://arxiv.org/abs/1904.00680


    15、GolfDB: A Video Database for Golf Swing Sequencing
    作者:William McNally, Kanav Vats, Tyler Pinto, Chris Dulhanty, John McPhee, Alexander Wong
    论文链接:https://arxiv.org/abs/1903.06528v1


    16、VORNet: Spatio-temporally Consistent Video Inpainting for Object Removal
    作者:Ya-Liang Chang, Zhe Yu Liu, Winston Hsu
    论文链接:https://arxiv.org/abs/1904.06726


    17、STEP: Spatio-Temporal Progressive Learning for Video Action Detection(Oral)
    作者:Xitong Yang, Xiaodong Yang, Ming-Yu Liu, Fanyi Xiao, Larry Davis, Jan Kautz
    论文链接:https://arxiv.org/abs/1904.09288
     

    18、UnOS: Unified Unsupervised Optical-flow and Stereo-depth Estimation by Watching Videos
    作者:Yang Wang, Peng Wang, Zhenheng Yang, Chenxu Luo, Yi Yang, and Wei Xu
    论文链接:https://arxiv.org/abs/1810.03654


    19、Memory-Attended Recurrent Network for Video Captioning
    作者:Wenjie Pei, Jiyuan Zhang, Xiangrong Wang, Lei Ke, Xiaoyong Shen, Yu-Wing Tai
    论文链接:https://arxiv.org/abs/1905.03966



     

    Related to Networks

    1、RePr: Improved Training of Convolutional Filters
    作者:Aaditya Prakash, James Storer, Dinei Florencio, Cha Zhang
    论文链接:https://arxiv.org/abs/1811.07275


    2、Iterative Residual CNNs for Burst Photography Applications
    作者:Filippos Kokkinos   Stamatis Lefkimmiatis
    论文链接:https://arxiv.org/abs/1811.12197


    3、SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images
    作者:Yeon Kun Lee, Jaeseok Jeong, Jong Seob Yun, Cho Won June, Kuk-Jin Yoon
    论文链接:https://arxiv.org/abs/1811.08196


    4、On the Continuity of Rotation Representations in Neural Networks
    作者:Yi Zhou, Connelly Barnes, Jingwan Lu, Jimei Yang, Hao Li
    论文链接:https://arxiv.org/pdf/1812.07035.pdf


    5、Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
    作者:Shilin Zhu, Xin Dong, Hao Su
    论文链接:https://arxiv.org/abs/1806.07550
    简要:Ensemble of binary neural networks has better stability and robustness, and may perform as well as floating-point networks.


    6、A Neurobiological Evaluation Metric for Neural Network Model Search
    作者:Nathaniel Blanchard, Jeffery Kinnison, Brandon RichardWebster, Pouya Bashivan, Walter J. Scheirer
    论文链接:https://arxiv.org/pdf/1805.10726.pdf


    7、MAN: Moment Alignment Network for Natural Language Moment Retrieval via Iterative Graph Adjustment
    作者:Da Zhang, Xiyang Dai, Xin Wang, Yuan-Fang Wang, Larry S. Davis
    论文链接:https://arxiv.org/pdf/1812.00087.pdf


    8、Multi-Step Prediction of Occupancy Grid Maps with Recurrent Neural Networks
    作者:Nima Mohajerin, Mohsen Rohani
    论文链接:https://arxiv.org/pdf/1812.09395.pdf


    9、Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem(oral)
    作者:Matthias Hein, Maksym Andriushchenko, Julian Bitterwolf
    论文链接:https://arxiv.org/abs/1812.05720
    Reading Note:In the paper, we give a theoretical argument of why ReLU activation can lead to models with overconfident predictions. Moreover, we propose a robust optimization training scheme that mitigates this problem.


    10、RGBD Based Dimensional Decomposition Residual Network for 3D Semantic Scene Completion
    作者:Jie Li, Yu Liu, Dong Gong, Qinfeng Shi, Xia Yuan, Chunxia Zhao, Ian Reid
    论文链接:https://arxiv.org/abs/1903.00620


    11、PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation
    作者:Fenggen Yu, Kun Liu, Yan Zhang, Chenyang Zhu, Kai Xu
    论文链接:https://arxiv.org/abs/1903.00709


    12、3D Point-Capsule Networks
    作者:Yongheng Zhao, Tolga Birdal, Haowen Deng, Federico Tombari
    论文链接:https://arxiv.org/abs/1812.10775


    13、CANet: Class-Agnostic Segmentation Networks with Iterative Refinement and Attentive Few-Shot Learning
    作者:Chi Zhang, Guosheng Lin, Fayao Liu, Rui Yao, Chunhua Shen
    论文链接:https://arxiv.org/abs/1903.02351


    14、Path-Invariant Map Networks (Oral)
    作者:Zaiwei Zhang, Zhenxiao Liang, Lemeng Wu, Xiaowei Zhou and Qixing Huang
    论文链接:https://arxiv.org/pdf/1812.11647.pdf
    代码链接: https://github.com/zaiweizhang/path_invariance_map_network
     

    15、A Main/Subsidiary Network Framework for Simplifying Binary Neural Network
    作者:Yinghao Xu, Xin Dong, Yudian Li, Hao Su
    论文链接:https://arxiv.org/abs/1812.04210
    简要:A simple learning-based binary neural network pruning scheme.


    16、Knowledge-Embedded Routing Network for Scene Graph Generation
    作者:Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin
    论文链接:https://arxiv.org/abs/1903.03326


    17、Knowledge-Embedded Routing Network for Scene Graph Generation
    作者:Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin
    论文链接:https://arxiv.org/abs/1903.03326


    18、HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs
    作者:Pravendra Singh, Vinay Kumar Verma, Piyush Rai, Vinay P. Namboodiri
    论文链接:https://arxiv.org/abs/1903.04120

     

    19、Large-scale Distributed Second-order Optimization Using Kronecker-factored Approximate Curvature for Deep Convolutional Neural Networks
    作者:Kazuki Osawa, Yohei Tsuji, Yuichiro Ueno, Akira Naruse, Rio Yokota, Satoshi Matsuoka
    论文链接:https://arxiv.org/abs/1811.12019


    20、ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding
    作者:Ning Liu, Yongchao Long, Changqing Zou, Qun Niu, Li Pan, Hefeng Wu
    论文链接:https://arxiv.org/abs/1811.11968


    21、LaSO: Label-Set Operations networks for multi-label few-shot learning(oral)
    作者:Amit Alfassy, Leonid Karlinsky, Amit Aides, Joseph Shtok, Sivan Harary, Rogerio Feris, Raja Giryes, Alex M. Bronstein
    论文链接:https://arxiv.org/abs/1902.09811


    22、Selective Kernel Networks
    作者:Xiang Li, Wenhai Wang, Xiaolin Hu, Jian Yang
    论文链接:https://arxiv.org/abs/1903.06586
    源码链接:https://github.com/implus/SKNet


    23、Self-calibrating Deep Photometric Stereo Networks(Oral)
    作者:Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong
    论文链接:https://arxiv.org/abs/1903.07366
    项目链接:http://gychen.org/SDPS-Net/
    代码链接:https://github.com/guanyingc/SDPS-Net


    24、Self-calibrating Deep Photometric Stereo Networks(Oral)
    作者:Guanying Chen, Kai Han, Boxin Shi, Yasuyuki Matsushita, Kwan-Yee K. Wong
    论文链接:https://arxiv.org/abs/1903.07366
    项目链接:http://gychen.org/SDPS-Net/
    代码链接:https://github.com/guanyingc/SDPS-Net


    25、Networks for Joint Affine and Non-parametric Image Registration
    作者:Zhengyang Shen, Xu Han, Zhenlin Xu, Marc Niethammer
    论文链接:https://arxiv.org/abs/1903.08811


    26、Learning for Single-Shot Confidence Calibration in Deep Neural Networks through Stochastic Inferences
    作者:Seonguk Seo, Paul Hongsuck Seo, Bohyung Han
    论文链接:https://arxiv.org/abs/1810.02358


    27、Towards Optimal Structured CNN Pruning via Generative Adversarial Learning
    作者:Shaohui Lin, Rongrong Ji, Chenqian Yan, Baochang Zhang, Liujuan Cao, Qixiang Ye, Feiyue Huang, David Doermann
    论文链接:https://arxiv.org/abs/1903.09291


    28、TIN: Transferable Interactiveness Network
    作者:Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu
    论文链接:https://arxiv.org/abs/1811.08264
    代码链接:https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network


    29、Convolutional Neural Networks Deceived by Visual Illusions
    作者:Alexander Gomez-Villa, Adrián Martín, Javier Vazquez-Corral, Marcelo Bertalmío
    论文链接:https://arxiv.org/abs/1811.10565


    30、Fully Learnable Group Convolution for Acceleration of Deep Neural Networks
    作者:Xijun Wang, Meina Kan, Shiguang Shan, Xilin Chen
    论文链接:https://arxiv.org/abs/1904.00346


    31、Kervolutional Neural Networks
    作者:Chen Wang, Jianfei Yang, Lihua Xie, Junsong Yuan
    论文链接:https://arxiv.org/abs/1904.03955


    32、Pixel-Adaptive Convolutional Neural Networks
    作者:Hang Su, Varun Jampani, Deqing Sun, Orazio Gallo, Erik Learned-Miller, Jan Kautz
    论文链接:https://arxiv.org/abs/1904.05373


    33、Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
    作者:Shilin Zhu, Xin Dong, Hao Su
    论文链接:https://arxiv.org/abs/1806.07550


    34、Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration(Oral)
    作者:Yang He, Ping Liu, Ziwei Wang, Zhilan Hu, Yi Yang
    论文链接:https://arxiv.org/abs/1811.00250
    源码链接:https://github.com/he-y/filter-pruning-geometric-median


    35、D2-Net: A Trainable CNN for Joint Detection and Description of Local Features
    作者:Mihai Dusmanu, Ignacio Rocco, Tomas Pajdla, Marc Pollefeys, Josef Sivic, Akihiko Torii, Torsten Sattler
    论文链接:https://dsmn.ml/publications/d2-net.html
    源码链接:https://github.com/mihaidusmanu/d2-net


    36、On Implicit Filter Level Sparsity in Convolutional Neural Networks
    作者:Dushyant Mehta, Kwang In Kim, Christian Theobalt
    论文链接:https://arxiv.org/abs/1811.12495


    37、Graph-Based Global Reasoning Networks(Facebook)
    作者:Yunpeng Chen, Marcus Rohrbach, Zhicheng Yan, Shuicheng Yan, Jiashi Feng, Yannis Kalantidis
    论文链接:https://research.fb.com/wp-content/uploads/2019/05/Graph-Based-Global-Reasoning-Networks.pdf


    38、FeatherNets: Convolutional Neural Networks as Light as Feather for Face Anti-spoofing
    作者:Peng Zhang, Fuhao Zou, Zhiwen Wu, Nengli Dai, Skarpness Mark, Michael Fu, Juan Zhao, Kai Li
    论文链接:https://arxiv.org/abs/1904.09290
    源码链接:https://github.com/SoftwareGift/FeatherNets_Face-Anti-spoofing-Attack-Detection-Challenge-CVPR2019


    39、ESPNetv2: A Light-weight, Power Efficient, and General Purpose Convolutional Neural Network
    作者:Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
    论文链接:https://arxiv.org/abs/1811.11431
    源码链接:https://github.com/sacmehta/ESPNetv2



     

    GAN、图像文本生成

    1、Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks
    作者:S. Mohammad Mostafavi I., Lin Wang, Yo-Sung Ho, Kuk-Jin Yoon
    论文链接:https://arxiv.org/abs/1811.08230


    2、Mixture Density Generative Adversarial Networks
    作者:Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer
    论文链接:https://arxiv.org/abs/1811.00152


    3、GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
    作者:Baris Gecer, Stylianos Ploumpis, Irene Kotsia, Stefanos Zafeiriou
    论文链接:https://arxiv.org/abs/1902.05978
    github链接:https://github.com/barisgecer/ganfit


    4、Self-Supervised Generative Adversarial Networks
    作者:Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby
    论文链接:https://arxiv.org/abs/1811.11212
    Github链接:https://github.com/google/compare_gan


    5、CollaGAN : Collaborative GAN for Missing Image Data Imputation
    作者:Dongwook Lee, Junyoung Kim, Won-Jin Moon, Jong Chul Ye
    论文链接:https://arxiv.org/abs/1901.09764


    6、Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis
    作者:Qi Mao, Hsin-Ying Lee, Hung-Yu Tseng, Siwei Ma, Ming-Hsuan Yang
    论文链接:https://arxiv.org/abs/1903.05628
    代码链接:https://github.com/HelenMao/MSGAN (待更新)


    7、MirrorGAN: Learning Text-to-image Generation by Redescription(图像文本生成)
    作者:Tingting Qiao, Jing Zhang, Duanqing Xu, Dacheng Tao
    论文链接:https://arxiv.org/abs/1903.05854


    8、From Adversarial Training to Generative Adversarial Networks
    作者:Xuanqing Liu, Cho-Jui Hsieh
    论文链接:https://arxiv.org/pdf/1807.10454.pdf


    9、OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations
    作者:Pramuditha Perera, Ramesh Nallapati, Bing Xiang
    论文链接:https://arxiv.org/abs/1903.08550


    10、SalGAN: Visual Saliency Prediction with Generative Adversarial Networks(商汤/华为/港中文)
    作者:Junting Pan, Cristian Canton Ferrer, Kevin McGuinness, Noel E. O'Connor, Jordi Torres, Elisa Sayrol, Xavier Giro-i-Nieto
    论文链接:https://arxiv.org/abs/1701.01081
    代码链接:https://github.com/junting/seg2vid


    11、StoryGAN: A Sequential Conditional GAN for Story Visualization(图像文本生成)
    作者:Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao
    论文链接:https://arxiv.org/abs/1812.02784
    代码链接:https://github.com/yitong91/StoryGAN


    12、Object-driven Text-to-Image Synthesis via Adversarial Training(图像文本生成)
    作者:Wenbo Li, Pengchuan Zhang, Lei Zhang, Qiuyuan Huang, Xiaodong He, Siwei Lyu, Jianfeng Gao
    论文链接:https://arxiv.org/abs/1902.10740


    13、Text2Scene: Generating Compositional Scenes from Textual Descriptions
    作者:Yitong Li, Zhe Gan, Yelong Shen, Jingjing Liu, Yu Cheng, Yuexin Wu, Lawrence Carin, David Carlson, Jianfeng Gao
    论文链接:https://arxiv.org/abs/1809.01110
    代码链接:https://github.com/uvavision/Text2Image


    14、Image Generation from Layout
    作者:Bo Zhao, Lili Meng, Weidong Yin, Leonid Sigal
    论文链接:https://arxiv.org/abs/1811.11389


    15、DM-GAN: Dynamic Memory Generative Adversarial Networks for Text-to-Image Synthesis
    作者:Minfeng Zhu, Pingbo Pan, Wei Chen, Yi Yang
    论文链接:https://arxiv.org/abs/1904.01310



    16、Semantics Disentangling for Text-to-Image Generation(Oral)
    作者:Guojun Yin, Bin Liu, Lu Sheng, Nenghai Yu, Xiaogang Wang, Jing Shao
    论文链接:https://arxiv.org/abs/1904.01480


    17、Evading Defenses to Transferable Adversarial Examples by Translation-Invariant Attacks(Oral)
    作者:Yinpeng Dong, Tianyu Pang, Hang Su, Jun Zhu
    论文链接:https://arxiv.org/abs/1904.02884


    18、R2GAN: Cross-modal Recipe Retrieval with Generative Adversarial Network
    作者:Bin Zhu, Chong-Wah Ngo, Jingjing Chen, and Yanbin Hao
    论文链接:http://vireo.cs.cityu.edu.hk/papers/R2GAN.pdf


    19、Multi-Channel Attention Selection GAN with Cascaded Semantic Guidance for Cross-View Image Translation(Oral)
    作者:Hao Tang, Dan Xu, Nicu Sebe, Yanzhi Wang, Jason J. Corso, Yan Yan
    论文链接:https://arxiv.org/abs/1904.06807
    源码链接:https://github.com/Ha0Tang/SelectionGAN


    20、Text Guided Person Image Synthesis
    作者:Xingran Zhou, Siyu Huang, Bin Li, Yingming Li, Jiachen Li, Zhongfei Zhang
    论文链接:https://arxiv.org/abs/1904.05118


    21、Max-Sliced Wasserstein Distance and its use for GANs
    作者:Ishan Deshpande, Yuan-Ting Hu, Ruoyu Sun, Ayis Pyrros, Nasir Siddiqui, Sanmi Koyejo, Zhizhen Zhao, David Forsyth, Alexander Schwing
    论文链接:https://arxiv.org/abs/1904.05877
     

    22、Fashion-AttGAN: Attribute-Aware Fashion Editing with Multi-Objective GAN
    作者:Qing Ping, Jiangbo Yuan, Bing Wu, Wanying Ding
    论文链接:https://arxiv.org/abs/1904.07460


    23、Self-Supervised GANs via Auxiliary Rotation Loss
    作者:Ting Chen, Xiaohua Zhai, Marvin Ritter, Mario Lucic, Neil Houlsby
    论文链接:https://arxiv.org/abs/1811.11212


    24、Sphere Generative Adversarial Network Based on Geometric Moment Matching
    作者:Sung Woo Park and Junseok Kwon
    论文链接:http://cau.ac.kr/~jskwon/paper/SphereGAN_CVPR2019.pdf
    源码链接:https://github.com/taki0112/SphereGAN-Tensorflow


    25、A Style-Based Generator Architecture for Generative Adversarial Networks
    作者:Tero Karras (NVIDIA), Samuli Laine (NVIDIA), Timo Aila (NVIDIA)
    论文链接:http://stylegan.xyz/paper
    源码链接:https://github.com/NVlabs/stylegan



     

    图像/视频处理、超分辨

    1、Recurrent MVSNet for High-resolution Multi-view Stereo Depth Inference
    作者:Yao Yao, Zixin Luo, Shiwei Li, Tianwei Shen, Tian Fang, Long Quan
    论文链接:https://arxiv.org/abs/1902.10556
    代码链接:https://github.com/YoYo000/MVSNet


    2、Unprocessing Images for Learned Raw Denoising (Oral Presentation)
    作者:Tim Brooks, Ben Mildenhall, Tianfan Xue, Jiawen Chen, Dillon Sharlet, Jonathan T. Barron
    论文链接:https://arxiv.org/abs/1811.11127
    project链接:http://timothybrooks.com/tech/unprocessing/
    Reading note:We can learn a better denoising model by processing and unprocessing images the same way a camera does.


    3、Image Super-Resolution by Neural Texture Transfer
    作者:Zhifei Zhang, Zhaowen Wang, Zhe Lin, Hairong Qi
    论文链接:https://arxiv.org/pdf/1903.00834.pdf
    项目链接:http://web.eecs.utk.edu/~zzhang61/project_page/SRNTT/SRNTT.html
    代码链接:https://github.com/ZZUTK/SRNTT


    4、Toward Convolutional Blind Denoising of Real Photographs
    作者:Shi Guo, Zifei Yan, Kai Zhang, Wangmeng Zuo, Lei Zhang
    论文链接:https://arxiv.org/abs/1807.04686
    代码链接:https://github.com/GuoShi28/CBDNet


    5、Learning Parallax Attention for Stereo Image Super-Resolution(图像超分辨)
    作者:Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
    论文链接:https://arxiv.org/abs/1903.05784


    6、Dual Residual Networks Leveraging the Potential of Paired Operations for Image Restoration
    作者:Xing Liu, Masanori Suganuma, Zhun Sun, Takayuki Okatani
    论文链接:https://arxiv.org/abs/1903.08817


    7、PASSRnet: Parallax Attention Stereo Super-Resolution Network
    作者:Longguang Wang, Yingqian Wang, Zhengfa Liang, Zaiping Lin, Jungang Yang, Wei An, Yulan Guo
    论文链接:https://arxiv.org/abs/1903.05784
    代码链接:https://github.com/LongguangWang/PASSRnet


    8、Feedback Network for Image Super-Resolution
    作者:Zhen Li, Jinglei Yang, Zheng Liu, Xiaomin Yang, Gwanggil Jeon, Wei Wu
    论文链接:https://arxiv.org/abs/1903.09814


    9、Meta-SR: A Magnification-Arbitrary Network for Super-Resolution (旷视,超分辨)
    作者:Xuecai Hu, Haoyuan Mu, Xiangyu Zhang, Zilei Wang, Tieniu Tan, Jian Sun
    论文链接:https://arxiv.org/abs/1903.00875
    论文解读:CVPR2019 | 旷视提出Meta-SR:单一模型实现超分辨率任意缩放因子



    10、Deep Plug-and-Play Super-Resolution for Arbitrary Blur Kernels
    作者:Kai Zhang, Wangmeng Zuo, Lei Zhang
    论文链接:https://arxiv.org/abs/1903.12529
    代码链接:https://github.com/cszn/DPSR


    11、Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset
    作者:Tianyu Wang, Xin Yang, Ke Xu, Shaozhe Chen, Qiang Zhang, Rynson Lau
    论文链接:https://arxiv.org/abs/1904.01538
    项目链接:https://stevewongv.github.io/derain-project.html



    12、DVC: An End-to-end Deep Video Compression Framework(Oral)
    作者:Guo Lu, Wanli Ouyang, Dong Xu, Xiaoyun Zhang, Chunlei Cai, Zhiyong Gao
    论文链接:https://arxiv.org/abs/1812.00101
    代码链接:https://github.com/GuoLusjtu/DVC


    13、Blind Visual Motif Removal from a Single Image
    作者:Amir Hertz, Sharon Fogel, Rana Hanocka, Raja Giryes, Daniel Cohen-Or
    论文链接:https://arxiv.org/abs/1904.02756


    14、Fast Spatio-Temporal Residual Network for Video Super-Resolution
    作者:Sheng Li, Fengxiang He, Bo Du, Lefei Zhang, Yonghao Xu, Dacheng Tao
    论文链接:https://arxiv.org/abs/1904.02870


    15、3D Appearance Super-Resolution with Deep Learning
    论文链接:https://github.com/ofsoundof/3D_Appearance_SR/blob/master/code/scripts/3d_appearance_sr.pdf
    源码链接:https://github.com/ofsoundof/3D_Appearance_SR


    16、Camera Lens Super-Resolution
    作者:Chang Chen, Zhiwei Xiong, Xinmei Tian, Zheng-Jun Zha, Feng Wu
    论文链接:http://staff.ustc.edu.cn/~zwxiong/cameraSR.pdf
    源码链接:https://github.com/ngchc/CameraSR


    17、Heavy Rain Image Restoration: Integrating Physics Model and Conditional Adversarial Learning
    作者:Ruotent Li, Loong Fah Cheong, Robby T. Tan
    论文链接:https://arxiv.org/abs/1904.05050


    18、Learning Pyramid-Context Encoder Network for High-Quality Image Inpainting
    作者:Yanhong Zeng, Jianlong Fu, Hongyang Chao, Baining Guo
    论文链接:https://arxiv.org/abs/1904.07475


    19、Attention-based Adaptive Selection of Operations for Image Restoration in the Presence of Unknown Combined Distortions
    作者:Masanori Suganuma, Xing Liu, Takayuki Okatani
    论文链接:https://arxiv.org/abs/1812.00733
    源码链接:https://github.com/sg-nm/Operation-wise-attention-network


    20、Deep Video Inpainting
    作者:Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
    论文链接:https://arxiv.org/abs/1905.01639


    21、Deep Flow-Guided Video Inpaintinge
    作者:Rui Xu, Xiaoxiao Li, Bolei Zhou, Chen Change Loy
    论文链接:https://arxiv.org/abs/1905.02884


    22、Deep Blind Video Decaptioning by Temporal Aggregation and Recurrence
    作者:Dahun Kim, Sanghyun Woo, Joon-Young Lee, In So Kweon
    论文链接:https://arxiv.org/abs/1905.02949



    23、Dynamic Scene Deblurring with Parameter Selective Sharing and Nested Skip Connections
    作者:Hongyun Gao, Xin Tao, Xiaoyong Shen, Jiaya Jia
    论文链接:http://jiaya.me/papers/deblur_cvpr19.pdf


    24、Underexposed Photo Enhancement using Deep Illumination Estimation
    作者:Ruixing Wang, Qing Zhang, Chi-Wing Fu, Xiaoyong Shen, Wei-shi Zheng, Jiaya Jia
    论文链接:http://jiaya.me/papers/photoenhance_cvpr19.pdf



     

    点云、三维重建

    1、The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
    作者:Zan Gojcic, Caifa Zhou, Jan D. Wegner, Andreas Wieser
    论文链接:https://arxiv.org/abs/1811.06879


    2、Octree guided CNN with Spherical Kernels for 3D Point Clouds
    作者:Huan Lei, Naveed Akhtar, Ajmal Mian
    论文链接:https://arxiv.org/abs/1903.00343


    3、DeepMapping: Unsupervised Map Estimation From Multiple Point Clouds
    作者:Li Ding, Chen Feng
    论文链接:https://arxiv.org/abs/1811.11397


    4、Generating 3D Adversarial Point Clouds
    作者:Chong Xiang (1), Charles R. Qi (2), Bo Li (3) ((1) Shanghai Jiao Tong Univerisity, (2) Stanford University, (3) University of Illinois at Urbana-Champaign)
    论文链接:https://arxiv.org/abs/1809.07016
    简要:Proposed several novel algorithms to craft adversarial point clouds against 3D deep learning models with adversarial points perturbation and adversarial points generation.


    5、FlowNet3D: Learning Scene Flow in 3D Point Clouds
    作者:Xingyu Liu, Charles R. Qi, Leonidas J. Guibas
    论文链接:https://arxiv.org/abs/1806.01411
    简要:Proposed a novel deep neural network that learns scene flow from point clouds in an end-to-end fashion.


    6、33.Single-Image Piece-wise Planar 3D Reconstruction via Associative Embedding(开源)
    作者:Zehao Yu, Jia Zheng, Dongze Lian, Zihan Zhou, Shenghua Gao
    论文链接:https://arxiv.org/abs/1902.09777
    代码链接:https://github.com/svip-lab/PlanarReconstruction


    7、FML: Face Model Learning from Videos(Oral)
    作者:A. Tewari F. Bernard P. Garrido G. Bharaj M. Elgharib H-P. Seidel P. Perez M. Zollhöfer C.Theobalt
    项目链接:http://gvv.mpi-inf.mpg.de/projects/FML19/
    论文链接:http://gvv.mpi-inf.mpg.de/projects/FML19/paper.pdf


    8、SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representation
    作者:Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
    论文链接:https://arxiv.org/abs/1903.06482


    9、Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction
    作者:Pelin Dogan, Leonid Sigal, Markus Gross
    论文链接:
    https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/paper.pdf
    代码链接:
    https://github.com/chenhsuanlin/photometric-mesh-optim
    项目链接:
    https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/


    10、Learning View Priors for Single-view 3D Reconstruction
    作者:Hiroharu Kato, Tatsuya Harada
    论文链接:https://arxiv.org/abs/1811.10719
    项目链接:http://hiroharu-kato.com/projects_en/view_prior_learning.html


    11、Patch-based Progressive 3D Point Set Upsampling
    作者:Wang Yifan, Shihao Wu, Hui Huang, Daniel Cohen-Or, Olga Sorkine-Hornung
    论文链接:https://arxiv.org/abs/1811.11286
    代码链接:https://github.com/yifita/3PU


    12、GeoNet: Deep Geodesic Networks for Point Cloud Analysis(Oral,旷视,根据测地间隔的点云剖析深度网络)
    作者:Tong He, Haibin Huang, Li Yi, Yuqian Zhou, Chihao Wu, Jue Wang, Stefano Soatto
    论文链接:https://arxiv.org/abs/1901.00680
    论文解读:CVPR 2019 | 旷视等Oral论文提出GeoNet:基于测地距离的点云分析深度网络


    13、JSIS3D: Joint Semantic-Instance Segmentation of 3D Point Clouds with Multi-Task Pointwise Networks and Multi-Value Conditional Random Fields(Oral)
    作者:Quang-Hieu Pham, Duc Thanh Nguyen, Binh-Son Hua, Gemma Roig, Sai-Kit Yeung
    论文链接:https://arxiv.org/abs/1904.00699
    项目链接:https://pqhieu.github.io/cvpr19.html


    14、Point Cloud Oversegmentation with Graph-Structured Deep Metric Learning
    作者:Loic Landrieu, Mohamed Boussaha
    论文链接:https://arxiv.org/abs/1904.02113


    15、Calibration of Asynchronous Camera Networks for Object Reconstruction Tasks
    作者:Amy Tabb, Henry Medeiros
    论文链接:https://arxiv.org/abs/1903.06811


    16、StereoDRNet: Dilated Residual Stereo Net
    作者:Rohan Chabra, Julian Straub, Chris Sweeny, Richard Newcombe, Henry Fuchs
    论文链接:https://arxiv.org/abs/1904.02251


    17、Conditional Single-view Shape Generation for Multi-view Stereo Reconstruction
    作者:Yi Wei, Shaohui Liu, Wang Zhao, Jiwen Lu, Jie Zhou
    论文链接:https://arxiv.org/abs/1904.06699


    18、PointRCNN: 3D Object Proposal Generation and Detection from Point Cloud
    作者:Shaoshuai Shi, Xiaogang Wang, Hongsheng Li
    论文链接:https://arxiv.org/abs/1812.04244
    源码链接:https://github.com/sshaoshuai/PointRCNN


    19、Relation-Shape Convolutional Neural Network for Point Cloud Analysis
    作者:Yongcheng Liu, Bin Fan, Shiming Xiang, Chunhong Pan
    论文链接:https://arxiv.org/abs/1904.07601
    项目链接:https://yochengliu.github.io/Relation-Shape-CNN/
    源码链接:https://github.com/Yochengliu/Relation-Shape-CNN


    20、A-CNN: Annularly Convolutional Neural Networks on Point Clouds
    作者:Artem Komarichev, Zichun Zhong, Jing Hua
    论文链接:https://arxiv.org/abs/1904.08017


    21、PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
    作者: Wenxiao Zhang, Chunxia Xiao
    论文链接:https://arxiv.org/abs/1904.09793


    22、Deep Convolutional Networks on 3D Point Clouds
    作者:Satwik Acharyya, Zhengwu Zhang, Anirban Bhattacharya, Debdeep Pati
    论文链接:https://arxiv.org/pdf/1811.07246.pdf
    源码链接:https://github.com/DylanWusee/pointconv


    23、LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
    作者:Chun-Liang Li, Tomas Simon, Jason Saragih, Barnabás Póczos, Yaser Sheikh
    论文链接:https://arxiv.org/abs/1904.10037


    24、Modeling Local Geometric Structure of 3D Point Clouds using Geo-CNN
    作者:Shiyi Lan, Ruichi Yu, Gang Yu, Larry S. Davis
    论文链接:https://arxiv.org/abs/1811.07782


    25、RL-GAN-Net: A Reinforcement Learning Agent Controlled GAN Network for Real-Time Point Cloud Shape Completion
    作者:Muhammad Sarmad, Hyunjoo Jenny Lee, Young Min Kim
    论文链接:https://arxiv.org/abs/1904.12304
    源码链接:https://github.com/iSarmad/RL-GAN-Net


    26、Occupancy Networks - Learning 3D Reconstruction in Function Space
    作者:Lars Mescheder and Michael Oechsle and Michael Niemeyer and Sebastian Nowozin and Andreas Geiger
    论文链接:https://avg.is.tuebingen.mpg.de/uploads_file/attachment/attachment/490/top.pdf
    源码链接:https://github.com/autonomousvision/occupancy_networks


    27、Graph Attention Convolution for Point Cloud Segmentation
    作者:待更新
    论文链接:https://engineering.purdue.edu/~jshan/publications/2018/Lei%20Wang%20Graph%20Attention%20Convolution%20for%20Point%20Cloud%20Segmentation%20CVPR2019.pdf
     

    28、GSPN: Generative Shape Proposal Network for 3D Instance Segmentation in Point Cloud
    作者:Li Yi, Wang Zhao, He Wang, Minhyuk Sung, Leonidas Guibas
    论文链接:https://arxiv.org/abs/1812.03320



    29、Nesti-Net: Normal Estimation for Unstructured 3D Point Clouds using Convolutional Neural Networks
    作者:Yizhak Ben-Shabat, Michael Lindenbaum, Anath Fischer
    论文链接:https://arxiv.org/abs/1812.00709
    源码链接:https://github.com/sitzikbs/Nesti-Net



    30、Robust Point Cloud Based Reconstruction of Large-Scale Outdoor Scenes
    作者:Ziquan Lan, Zi Jian Yew,Gim Hee Lee
    论文链接:https://www.researchgate.net/publication/332240602_Robust_Point_Cloud_Based_Reconstruction_of_Large-Scale_Outdoor_Scenes
    源码链接:https://github.com/ziquan111/RobustPCLReconstruction



    31、PointNetLK: Robust & Efficient Point Cloud Registration using PointNet
    作者:Yasuhiro Aoki, Hunter Goforth, Rangaprasad Arun Srivatsan, Simon Lucey
    论文链接:https://arxiv.org/abs/1903.05711
    源码链接:https://github.com/hmgoforth/PointNetLK



    32、PointWeb: Enhancing Local Neighborhood Features for Point Cloud Processing
    作者:Hengshuang Zhao, Li Jiang, Chi-Wing Fu,Jiaya Jia
    论文链接:http://jiaya.me/papers/pointweb_cvpr19.pdf


    33、ClusterNet: Deep Hierarchical Cluster Network with Rigorously Rotation-Invariant Representation for Point Cloud Analysis
    作者:Chao Chen, Guanbin Li, Ruijia Xu, Tianshui Chen, Meng Wang, Liang Lin
    论文链接:http://www.linliang.net/wp-content/uploads/2019/04/CVPR2019_PointClound.pdf
     

    34、FilterReg: Robust and Efficient Probabilistic Point-Set Registration using Gaussian Filter and Twist Parameterization
    作者:Wei Gao, Russ Tedrake
    论文链接:https://arxiv.org/abs/1811.10136
    源码链接:https://bitbucket.org/gaowei19951004/poser/src/master/
     

    35、Embodied Question Answering in Photorealistic Environments with Point Cloud Perception
    作者:Erik Wijmans, Samyak Datta, Oleksandr Maksymets, Abhishek Das, Georgia Gkioxari, Stefan Lee, Irfan Essa, Devi Parikh, Dhruv Batra
    论文链接:https://arxiv.org/abs/1904.03461
     

    36、SDRSAC: Semidefinite-Based Randomized Approach for Robust Point Cloud Registration without Correspondences
    作者:Huu Le, Thanh-Toan Do, Tuan Hoang, Ngai-Man Cheung
    论文链接:https://arxiv.org/abs/1904.03483
    源码链接:https://github.com/intellhave/SDRSAC (matlab)



    37、PointFlowNet: Learning Representations for Rigid Motion Estimation from Point Clouds
    作者:Aseem Behl, Despoina Paschalidou, Simon Donné, Andreas Geiger
    论文链接:https://arxiv.org/abs/1806.02170
    源码链接:https://github.com/aseembehl/pointflownet



    38、PointPillars: Fast Encoders for Object Detection from Point Clouds
    作者:Alex H. Lang, Sourabh Vora, Holger Caesar, Lubing Zhou, Jiong Yang, Oscar Beijbom
    论文链接:https://arxiv.org/abs/1812.05784
    源码链接:https://github.com/nutonomy/second.pytorch



    40、Supervised Fitting of Geometric Primitives to 3D Point Clouds(Oral)
    作者:Lingxiao Li, Minhyuk Sung, Anastasia Dubrovina, Li Yi, Leonidas Guibas
    论文链接:https://arxiv.org/abs/1811.08988
    源码链接:https://github.com/csimstu2/SPFN



    41、PointConv: Deep Convolutional Networks on 3D Point Clouds
    作者:Wenxuan Wu, Zhongang Qi, Li Fuxin
    论文链接:https://arxiv.org/abs/1811.07246
    源码链接:https://github.com/DylanWusee/pointconv



    42、Modeling Point Clouds with Self-Attention and Gumbel Subset Sampling
    作者:Jiancheng Yang, Qiang Zhang, Bingbing Ni, Linguo Li, Jinxian Liu, Mengdie Zhou, Qi Tian
    论文链接:https://arxiv.org/abs/1904.03375v1
     

    41、Spherical Fractal Convolutional Neural Networks for Point Cloud Recognition
    作者:Yongming Rao, Jiwen Lu, Jie Zhou
    论文链接:https://raoyongming.github.io/files/SFCNN.pdf


    42、Neural RGB->D Sensing: Depth and Uncertainty from a Video Camera(Oral,英伟达)
    作者:Chao Liu, Jinwei Gu, Kihwan Kim, Srinivasa Narasimhan, Jan Kautz
    论文链接:https://arxiv.org/abs/1901.02571
    源码链接:https://github.com/NVlabs/neuralrgbd
    项目链接:https://research.nvidia.com/publication/2019-06_Neural-RGBD


    43、Reducing Uncertainty in Undersampled MRI Reconstruction with Active Acquisition(Facebook)
    作者:Zizhao Zhang, Adriana Romero, Matthew J. Muckley, Pascal Vincent, Lin Yang, Michal Drozdzal
    论文链接:https://research.fb.com/wp-content/uploads/2019/05/Reducing-Uncertainty-in-Undersampled-MRI-Reconstruction-with-Active-Acquisition.pdf


    44、Occupancy Networks: Learning 3D Reconstruction in Function Space
    作者:Lars Mescheder and Michael Oechsle and Michael Niemeyer and Sebastian Nowozin and Andreas Geiger
    论文链接:https://avg.is.tuebingen.mpg.de/publications/occupancy-networks
    源码链接:https://github.com/autonomousvision/occupancy_networks



     

    VQA、视觉语言导航

    1、MUREL: Multimodal Relational Reasoning for Visual Question Answering
    作者:Remi Cadene, Hedi Ben-younes, Matthieu Cord, Nicolas Thome
    论文链接:https://arxiv.org/abs/1902.09487


    2、Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
    作者:Xin Wang, Qiuyuan Huang, Asli Celikyilmaz, Jianfeng Gao, Dinghan Shen, Yuan-Fang Wang, William Yang Wang, Lei Zhang
    论文链接:https://arxiv.org/abs/1811.10092
    论文解读:https://mp.weixin.qq.com/s/LsHWkdwqqrOPFgCNNcBdpg


    3、Image-Question-Answer Synergistic Network for Visual Dialog
    作者:Dalu Guo, Chang Xu, Dacheng Tao
    论文链接:https://arxiv.org/abs/1902.09774


    4、Tactical Rewind: Self-Correction via Backtracking in Vision-and-Language Navigation(oral)
    作者:Liyiming Ke, Xiujun Li, Yonatan Bisk, Ari Holtzman, Zhe Gan, Jingjing Liu, Jianfeng Gao, Yejin Choi, Siddhartha Srinivasa
    论文链接:https://arxiv.org/abs/1903.02547
    YouTube:https://youtu.be/ik9uz06Fcpk


    5、Learning to Compose Dynamic Tree Structures for Visual Contexts(VQA,Oral)
    作者:Kaihua Tang, Hanwang Zhang, Baoyuan Wu, Wenhan Luo, Wei Liu
    论文链接:https://arxiv.org/abs/1812.01880
    代码链接:
    https://github.com/KaihuaTang/VCTree-Visual-Question-Answering


    6、Transfer Learning via Unsupervised Task Discovery for Visual Question Answering(VQA)
    作者:Hyeonwoo Noh, Taehoon Kim, Jonghwan Mun, Bohyung Han
    论文链接:https://arxiv.org/abs/1810.02358


    7、Information Maximizing Visual Question Generation(VQA)
    作者:Zhongdao Wang, Liang Zheng, Yali Li, Shengjin Wang
    论文链接:https://arxiv.org/abs/1903.11306


    8、Answer Them All! Toward Universal Visual Question Answering Models(VQA)
    作者:Robik Shrestha, Kushal Kafle, Christopher Kanan
    论文链接:https://arxiv.org/abs/1903.00366


    9、Cycle-Consistency for Robust Visual Question Answering(VQA)
    作者:Gao Peng, Zhengkai Jiang, Haoxuan You, Zhengkai Jiang, Pan Lu, Steven Hoi, Xiaogang Wang, Hongsheng Li
    论文链接:https://arxiv.org/pdf/1812.05252.pdf


    10、Towards VQA Models that can Read
    作者:Amanpreet Singh, Vivek Natarajan, Meet Shah, Yu Jiang, Xinlei Chen, Dhruv Batra, Devi Parikh, Marcus Rohrbach
    论文链接:https://arxiv.org/abs/1904.08920


    11、Grounded Video Description (Oral)
    作者:Luowei Zhou, Yannis Kalantidis, Xinlei Chen, Jason J. Corso, Marcus Rohrbach
    论文链接:https://arxiv.org/abs/1812.06587
    源码链接:https://github.com/facebookresearch/grounded-video-description


    12、Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
    作者:Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari, Ali Farhadi, Roozbeh Mottaghi
    论文链接:https://arxiv.org/abs/1812.00971
    源码链接:https://github.com/allenai/savn


     

    OCR、文本检测

    1、Shape Robust Text Detection with Progressive Scale Expansion Network(文本检测)
    作者:Xiang Li, Wenhai Wang, Wenbo Hou, Ruo-Ze Liu, Tong Lu, Jian Yang
    论文链接:https://arxiv.org/abs/1806.02559
    代码链接:https://github.com/whai362/PSENet
    网友复现:https://github.com/liuheng92/tensorflow_PSENet



    2、Towards Robust Curve Text Detection with Conditional Spatial Expansion
    作者:Zichuan Liu, Guosheng Lin, Sheng Yang, Fayao Liu, Weisi Lin, Wang Ling Goh
    论文链接:https://arxiv.org/abs/1903.08836


    3、Shape Robust Text Detection with Progressive Scale Expansion Network
    作者:Wenhai Wang, Enze Xie, Xiang Li, Wenbo Hou, Tong Lu, Gang Yu, Shuai Shao
    论文链接:https://arxiv.org/abs/1903.12473


    4、Handwriting Recognition in Low-resource Scripts using Adversarial Learning
    作者:Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy
    论文链接:https://arxiv.org/pdf/1811.01396.pdf


    5、Handwriting Recognition in Low-resource Scripts using Adversarial Learning
    作者:Ayan Kumar Bhunia, Abhirup Das, Ankan Kumar Bhunia, Perla Sai Raj Kishore, Partha Pratim Roy
    论文链接:https://arxiv.org/abs/1811.01396


    6、Tightness-aware Evaluation Protocol for Scene Text Detection
    作者:Yuliang Liu, Lianwen Jin, Zecheng Xie, Canjie Luo, Shuaitao Zhang, Lele Xie
    论文链接:https://arxiv.org/abs/1904.00813


    7、Character Region Awareness for Text Detection(文本检测)
    作者:Youngmin Baek, Bado Lee, Dongyoon Han, Sangdoo Yun, Hwalsuk Lee
    论文链接:https://arxiv.org/abs/1904.01941


    8、Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes
    作者:Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding
    论文链接:https://arxiv.org/abs/1904.06535


    9、Learning Shape-Aware Embedding for Scene Text Detection
    作者:Zhuotao Tian, Michelle Shu, Pengyuan Lyu, Ruiyu Li, Chao Zhou, Xiaoyong Shen, Jiaya Jia†
    论文链接:http://jiaya.me/papers/textdetection_cvpr19.pdf


    10、Look More Than Once: An Accurate Detector for Text of Arbitrary Shapes Screen reader support enabled
    作者:Chengquan Zhang, Borong Liang, Zuming Huang, Mengyi En, Junyu Han, Errui Ding, Xinghao Ding
    论文链接:https://arxiv.org/pdf/1904.06535.pdf
     



     

    自动驾驶

    1、Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving(自动驾驶)
    作者:Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger
    论文链接:https://arxiv.org/abs/1812.07179
    项目链接:https://mileyan.github.io/pseudo_lidar/
    代码链接:https://github.com/mileyan/pseudo_lidar


    2、ApolloCar3D: A Large 3D Car Instance Understanding Benchmark for Autonomous Driving
    作者:Xibin Song, Peng Wang, Dingfu Zhou, Rui Zhu, Chenye Guan, Yuchao Dai, Hao Su, Hongdong Li, Ruigang Yang
    论文链接:https://arxiv.org/abs/1811.12222
    简要:The first large-scale database suitable for 3D car instance understanding, ApolloCar3D, collected by Baidu. The dataset contains 5,277 driving images and over 60K car instances, where each car is fitted with an industry-grade 3D CAD model with absolute model size and semantically labelled keypoints.


    3、Group-wise Correlation Stereo Network
    作者:Xiaoyang Guo, Kai Yang, Wukui Yang, Xiaogang Wang, Hongsheng Li
    论文链接:https://arxiv.org/abs/1903.04025


    4、Stereo R-CNN based 3D Object Detection for Autonomous Driving
    作者:Peiliang Li, Xiaozhi Chen, Shaojie Shen
    论文链接:https://arxiv.org/abs/1902.09738


    5、Deep Rigid Instance Scene Flow
    作者:Wei-Chiu Ma 、Shenlong Wang 、Rui Hu、Yuwen Xiong、 Raquel Urtasun
    论文链接:
    https://people.csail.mit.edu/weichium/papers/cvpr19-dsisf/paper.pdf
    论文摘要:在本文中,我们解决了自动驾驶环境下的场景流量估计问题。 我们利用深度学习技术以及强大的先验,因为在我们的应用领域中,场景的运动可以由机器人的运动和场景中的演员的3D运动来组成。


    6、An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM
    作者:Patrick Geneva, James Maley, Guoquan Huang
    论文链接:https://arxiv.org/abs/1903.08636


    7、LaserNet: An Efficient Probabilistic 3D Object Detector for Autonomous Driving
    作者:Gregory P. Meyer, Ankit Laddha, Eric Kee, Carlos Vallespi-Gonzalez, Carl K. Wellington
    论文链接:https://arxiv.org/abs/1903.08701


    8、.GS3D: An Efficient 3D Object Detection Framework for Autonomous Driving
    作者:Buyu Li, Wanli Ouyang, Lu Sheng, Xingyu Zeng, Xiaogang Wang
    论文链接:https://arxiv.org/abs/1903.10955


    9、Learning to Adapt for Stereo
    作者:Alessio Tonioni, Oscar Rahnama, Thomas Joy, Luigi Di Stefano, Thalaiyasingam Ajanthan, Philip H. S. Torr
    论文链接:https://arxiv.org/abs/1904.02957
    代码链接:https://github.com/CVLAB-Unibo/Learning2AdaptForStereo


    10、What Object Should I Use? - Task Driven Object Detection
    作者:Johann Sawatzky, Yaser Souri, Christian Grund, Juergen Gall
    论文链接:https://arxiv.org/abs/1904.03000


    11、YUVMultiNet: Real-time YUV multi-task CNN for autonomous driving
    作者:Thomas Boulay, Said El-Hachimi, Mani Kumar Surisetti, Pullarao Maddu, Saranya Kandan
    论文链接:https://arxiv.org/abs/1904.05673


    12、L3-Net: Towards Learning based LiDAR Localization for Autonomous Driving
    作者:Weixin Lu, Yao Zhou, Guowei Wan,Shenhua Hou,Shiyu Song
    论文链接:https://songshiyu01.github.io/pdf/L3Net_W.Lu_Y.Zhou_S.Song_CVPR2019.pdf



     

    人群计数

    1、Learning from Synthetic Data for Crowd Counting in the Wild
    作者:Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan
    论文链接:https://arxiv.org/abs/1903.03303


    2、Point in, Box out: Beyond Counting Persons in Crowds
    作者:待更新
    论文链接:https://github.com/xiaofanglegoc/xiaofanglegoc.github.io/blob/master/publications/cvpr2019.pdf


    3、Learning the Depths of Moving People by Watching Frozen People(Oral)
    作者:Zhengqi Li, Tali Dekel, Forrester Cole, Richard Tucker, Noah Snavely, Ce Liu, William T. Freeman
    论文链接:https://arxiv.org/abs/1904.11111



     

    数据集、Benchmark

    1、COIN: A Large-scale Dataset for Comprehensive Instructional Video Analysis
    作者:Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
    论文链接:https://arxiv.org/abs/1903.02874
    项目链接:https://coin-dataset.github.io/
    代码链接:https://github.com/coin-dataset/code
     

    2、RAVEN: A Dataset for Relational and Analogical Visual rEasoNing
    作者:Yansong Tang, Dajun Ding, Yongming Rao, Yu Zheng, Danyang Zhang, Lili Zhao, Jiwen Lu, Jie Zhou
    论文链接:https://arxiv.org/abs/1903.02741
    项目链接:https://wellyzhang.github.io/project/raven.html


    3、SIXray : A Large-scale Security Inspection X-ray Benchmark for Prohibited Item Discovery in Overlapping Images(金山云大规模X光违禁品安检数据集)
    作者:Caijing Miao, Lingxi Xie, Fang Wan, Chi Su, Hongye Liu, Jianbin Jiao, Qixiang Ye
    论文链接:https://arxiv.org/abs/1901.00303
    论文简要:本文针对X光安检数据集,提出了类别平衡的分层细化模型处置数据集存在的成绩。


    4、A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
    作者:Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl
    论文链接:https://arxiv.org/abs/1903.06916


    5、A Cross-Season Correspondence Dataset for Robust Semantic Segmentation
    作者:Måns Larsson, Erik Stenborg, Lars Hammarstrand, Torsten Sattler, Mark Pollefeys, Fredrik Kahl
    论文链接:https://arxiv.org/abs/1903.06916


    6、A Realistic Dataset and Baseline Temporal Model for Early Drowsiness Detection
    作者:Reza Ghoddoosian, Marnim Galib, Vassilis Athitsos
    论文链接:https://arxiv.org/abs/1904.07312


    7、A Poisson-Gaussian Denoising Dataset with Real Fluorescence Microscopy Images
    作者:Yide Zhang, Yinhao Zhu, Evan Nichols, Qingfei Wang, Siyuan Zhang, Cody Smith, Scott Howard
    论文链接:https://arxiv.org/abs/1812.10366
    源码链接:https://github.com/bmmi/denoising-fluorescence


    8、ABC: A Big CAD Model Dataset For Geometric Deep Learning
    作者:Sebastian Koch, Albert Matveev, Zhongshi Jiang, Francis Williams, Alexey Artemov, Evgeny Burnaev, Marc Alexa, Denis Zorin, Daniele Panozzo
    论文链接:https://arxiv.org/abs/1812.06216
    源码链接:https://github.com/deep-geometry/abc-dataset


    9、A Dataset and Benchmark for Large-scale Multi-modal Face Anti-spoofing
    作者:Sachin Mehta, Mohammad Rastegari, Linda Shapiro, Hannaneh Hajishirzi
    论文链接:https://arxiv.org/abs/1811.11431
    源码链接:https://github.com/sacmehta/ESPNetv2


    10、DeepFashion2: A Versatile Benchmark for Detection, Pose Estimation, Segmentation and Re-Identification of Clothing Images
    作者:Yuying Ge, Ruimao Zhang, Lingyun Wu, Xiaogang Wang, Xiaoou Tang, Ping Luo
    论文链接:https://arxiv.org/abs/1901.07973
    源码链接:https://github.com/switchablenorms/DeepFashion2



     

    行人重识别、行人检测

    1、Dissecting Person Re-identification from the Viewpoint of Viewpoint
    作者:Xiaoxiao Sun, Liang Zheng
    论文链接:https://arxiv.org/abs/1812.02162
    源码链接:https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint


    2、Unsupervised Person Re-identification by Soft Multilabel Learning(行人再识别,Oral)
    作者:Hong-Xing Yu, Wei-Shi Zheng, Ancong Wu, Xiaowei Guo, Shaogang Gong, Jian-Huang Lai
    论文链接:https://arxiv.org/abs/1903.06325
    源码链接:https://github.com/KovenYu/MAR



    3、Perceive Where to Focus: Learning Visibility-aware Part-level Features for Partial Person Re-identification
    作者:Yifan Sun, Qin Xu, Yali Li, Chi Zhang, Yikang Li, Shengjin Wang, Jian Sun
    论文链接:https://arxiv.org/abs/1904.00537


    4、Invariance Matters: Exemplar Memory for Domain Adaptive Person Re-identification
    作者:Zhun Zhong, Liang Zheng, Zhiming Luo, Shaozi Li, Yi Yang
    论文链接:https://arxiv.org/abs/1904.01990
    代码链接:https://github.com/zhunzhong07/ECN


    5、SSA-CNN: Semantic Self-Attention CNN for Pedestrian Detection
    作者:Chengju Zhou,Meiqing Wu,Siew-Kei Lam
    论文链接:https://arxiv.org/abs/1902.09080v1
    论文摘要:本文将语义分割结果作为自我关注线索进行探索,以显着提高行人检测性能。


    6、High-level Semantic Feature Detection:A New Perspective for Pedestrian Detection
    作者:Wei Liu, Shengcai Liao, Weiqiang Ren, Weidong Hu, Yinan Yu
    论文链接:https://arxiv.org/abs/1904.02948


    7、High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection
    作者:Zhao-Min Chen, Xiu-Shen Wei Peng Wang3Yanwen Guo1
    论文链接:https://github.com/liuwei16/CSP/blob/master/docs/2019CVPR-CSP.pdf
    源码链接:https://github.com/liuwei16/CSP


    8、Pedestrian Detection in Thermal Images using Saliency Maps
    作者:Debasmita Ghose, Shasvat Mukeshkumar Desai, Sneha Bhattacharya, Deep Chakraborty, Madalina Fiterau, Tauhidur Rahman
    论文链接:https://arxiv.org/abs/1904.06859


    9、Learning to Reduce Dual-level Discrepancy for Infrared-Visible Person Re-identification(行人重识别)
    作者:Zhixiang Wang, Zheng Wang, Yinqiang Zheng, Yung-Yu Chuang, Shin'ichi Satoh
    论文链接:https://www.csie.ntu.edu.tw/~cyy/publications/papers/Wang2019LRD.pdf


    10、Pedestrian Detection with Autoregressive Network Phases
    具有自回归网络阶段的行人检测
    作者:Garrick Brazil, Xiaoming Liu
    论文链接:https://arxiv.org/abs/1812.00440
    源码链接:https://github.com/garrickbrazil/AR-Ped



     

    其他

    2、Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
    作者:De-An Huang, Suraj Nair, Danfei Xu, Yuke Zhu, Animesh Garg, Li Fei-Fei, Silvio Savarese, Juan Carlos Niebles
    论文链接:https://arxiv.org/abs/1807.03480
     

    3、Variational Bayesian Dropout
    作者:Yuhang Liu, Wenyong Dong, Lei Zhang, Dong Gong, Qinfeng Shi
    论文链接:https://arxiv.org/abs/1811.07533


    4、LiFF: Light Field Features in Scale and Depth
    作者:Donald G. Dansereau, Bernd Girod, Gordon Wetzstein
    论文链接:https://arxiv.org/abs/1901.03916


    5、Classification-Reconstruction Learning for Open-Set Recognition
    作者:Ryota Yoshihashi, Wen Shao, Rei Kawakami, Shaodi You, Makoto Iida, Takeshi Naemura
    论文链接:https://arxiv.org/abs/1812.04246


    6、Weakly Supervised Deep Image Hashing through Tag Embeddings
    作者:Vijetha Gattupalli, Yaoxin Zhuo, Baoxin Li
    论文链接:https://arxiv.org/abs/1806.05804


    7、InverseRenderNet: Learning single image inverse rendering
    作者:Ye Yu, William A. P. Smith
    论文链接:https://arxiv.org/abs/1811.12328


    8、End-to-End Efficient Representation Learning via Cascading Combinatorial Optimization
    作者:Yeonwoo Jeong, Yoonsuing Kim, Hyun Oh Song
    论文链接:https://arxiv.org/abs/1902.10990
    代码链接:https://github.com/maestrojeong/Deep-Hash-Table-CVPR19


    9、Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
    作者:Yawei Luo, Liang Zheng, Tao Guan, Junqing Yu, Yi Yang
    论文链接:https://arxiv.org/abs/1809.09478


    10、Efficient Parameter-free Clustering Using First Neighbor Relations
    作者:M. Saquib Sarfraz, Vivek Sharma, Rainer Stiefelhagen
    论文链接:https://arxiv.org/abs/1902.11266
    Reading Notes:FINCH, a new clustering algorithm, absolutily no hyperparameters , no need to specify no. of clusters. Scalable(Memory O(N)), very fast (ON(logN)) clusters ~8 million samples in 18 minutes on standard CPU.



    11、3D Hand Shape and Pose from Images in the Wild
    作者:Adnane Boukhayma, Rodrigo de Bem, Philip H.S. Torr
    论文链接:https://arxiv.org/pdf/1902.03451.pdf
    Github链接:https://github.com/boukhayma/3dhand


    12、Monocular Total Capture: Posing Face, Body, and Hands in the Wild
    作者:Donglai Xiang, Hanbyul Joo, Yaser Sheikh
    论文链接:https://arxiv.org/pdf/1812.01598.pdf
    项目链接:http://domedb.perception.cs.cmu.edu/monototalcapture.html


    13、Learning to Synthesize Motion Blur(Oral Presentation)
    作者:Tim Brooks, Jonathan T. Barron
    论文链接:https://arxiv.org/abs/1811.11745
    project链接:http://timothybrooks.com/tech/motion-blur/
    Reading note:Frame interpolation techniques can be used to train a network to directly synthesize linear motion blur.


    14、A General and Adaptive Robust Loss Function(Oral Presentation)
    作者:Jonathan T. Barron
    论文链接:https://arxiv.org/abs/1701.03077
    Reading Note:A single robust loss function is a superset of many other common robust loss functions, and allows training to automatically adapt the robustness of its own loss.


    15、Context-Aware Visual Compatibility Prediction
    作者:Guillem Cucurull, Perouz Taslakian, David Vazquez
    论文链接:https://arxiv.org/abs/1902.03646
    Reading Note:It proposes a graph convolutional neural network that predicts compatibility between two items based on their visual features, as well as their context
     

    16、A Kernelized Manifold Mapping to Diminish the Effect of Adversarial Perturbations
    作者:Saeid Asgari Taghanaki Kumar Abhishek1 Shekoofeh Azizi and Ghassan Hamarneh
    论文链接:http://cs.sfu.ca/~hamarneh/ecopy/cvpr2019.pdf
    Arxiv链接:https://arxiv.org/abs/1903.01015


    17、Self-supervised Learning of Dense Shape Correspondence(Oral Presentation)
    作者:Oshri Halimi, Or Litany, Emanuele Rodolà, Alex Bronstein, Ron Kimmel
    论文链接:https://arxiv.org/abs/1812.02415



    18、Art2Real: Unfolding the Reality of Artworks via Semantically-Aware Image-to-Image Translation
    作者:Matteo Tomei, Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
    论文链接:https://arxiv.org/abs/1811.10666


    19、Show, Control and Tell: A Framework for Generating Controllable and Grounded Captions
    作者:Marcella Cornia, Lorenzo Baraldi, Rita Cucchiara
    论文链接:https://arxiv.org/abs/1811.10652
    代码链接:https://github.com/aimagelab/show-control-and-tell
     

    20、Improving Referring Expression Grounding with Cross-modal Attention-guided Erasing
    作者:Xihui Liu, Zihao Wang, Jing Shao, Xiaogang Wang, Hongsheng Li
    论文链接:https://arxiv.org/abs/1903.00839
     

    21、Learning From Noisy Labels By Regularized Estimation Of Annotator Confusion
    作者:Ryutaro Tanno, Ardavan Saeedi, Swami Sankaranarayanan, Daniel C. Alexander, Nathan Silberman
    论文链接:https://arxiv.org/abs/1902.03680
     

    22、Variational Autoencoders Pursue PCA Directions (by Accident)
    作者:Michal Rolinek, Dominik Zietlow, Georg Martius
    论文链接:https://arxiv.org/abs/1812.06775

     

    23、The Regretful Agent: Heuristic-Aided Navigation through Progress Estimation(oral)
    作者:Chih-Yao Ma, Zuxuan Wu, Ghassan AlRegib, Caiming Xiong, Zsolt Kira
    论文链接:https://arxiv.org/abs/1903.01602
    Github:https://github.com/chihyaoma/regretful-agent


    24、Understanding and Visualizing Deep Visual Saliency Models
    作者:Sen He, Hamed R. Tavakoli, Ali Borji, Yang Mi, Nicolas Pugeault
    论文链接:https://arxiv.org/abs/1903.02501
     



    25、Decoders Matter for Semantic Segmentation: Data-Dependent Decoding Enables Flexible Feature Aggregation(非最终版)
    作者:Zhi Tian, Chunhua Shen, Tong He, Youliang Yanl
    论文链接:https://arxiv.org/abs/1903.02120


    26、Defense Against Adversarial Images using Web-Scale Nearest-Neighbor Search(oral)
    作者:Abhimanyu Dubey, Laurens van der Maaten, Zeki Yalniz, Yixuan Li, Dhruv Mahajan
    论文链接:https://arxiv.org/abs/1903.01612


    27、Unsupervised Domain-Specific Deblurring via Disentangled Representations
    作者:Boyu Lu, Jun-Cheng Chen, Rama Chellappa
    论文链接:https://arxiv.org/abs/1903.01594


    28、Selective Sensor Fusion for Neural Visual-Inertial Odometry
    作者:Changhao Chen, Stefano Rosa, Yishu MiaoChris Xiaoxuan Lu, Wei Wu, Andrew Markham, Niki Trigoni
    论文链接:https://arxiv.org/abs/1903.01534


    29、.Learning Deep Compositional Grammatical Architectures for Visual Recognition
    作者:Xilai Li, Tianfu Wu, Xi Song
    论文链接:https://arxiv.org/abs/1711.05847
    代码链接:https://github.com/xilaili/AOGNet


    30、Taking a Deeper Look at the Inverse Compositional Algorithm(oral)
    作者:Zhaoyang Lv, Frank Dellaert, James M. Rehg, Andreas Geiger
    论文链接:https://arxiv.org/pdf/1812.06861.pdf
    代码链接:https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm
     

    31、Learning Transformation Synchronization
    作者:Xiangru Huang, Zhenxiao Liang, Xiaowei Zhou, Yao Xie, Leonidas Guibas, and Qixing Huang
    论文链接:https://arxiv.org/pdf/1901.09458.pdf
    代码链接: https://github.com/xiangruhuang/Learning2Sync
     

    32、SR-LSTM: State Refinement for LSTM towards Pedestrian Trajectory Prediction
    作者:Pu Zhang, Wanli Ouyang, Pengfei Zhang, Jianru Xue, Nanning Zheng
    论文链接:https://arxiv.org/abs/1903.02793

     

    33、ChamNet: Towards Efficient Network Design through Platform-Aware Model Adaptation(Facebook mobile vision team)
    作者:Xiaoliang Dai, Peizhao Zhang, Bichen Wu, Hongxu Yin, Fei Sun, Yanghan Wang, Marat Dukhan, Yunqing Hu, Yiming Wu, Yangqing Jia, Peter Vajda, Matt Uyttendaele, Niraj K. Jha
    论文链接:https://arxiv.org/abs/1812.08934


    34、FBNet: Hardware-Aware Efficient ConvNet Design via Differentiable Neural Architecture Search(Facebook mobile vision team)
    作者:Bichen Wu, Xiaoliang Dai, Peizhao Zhang, Yanghan Wang, Fei Sun, Yiming Wu, Yuandong Tian, Peter Vajda, Yangqing Jia, Kurt Keutzer
    论文链接:https://arxiv.org/abs/1812.03443
     

    35、PartNet: A Large-scale Benchmark for Fine-grained and Hierarchical Part-level 3D Object Understanding
    作者:Kaichun Mo, Shilin Zhu, Angel X. Chang, Li Yi, Subarna Tripathi, Leonidas J. Guibas, Hao Su
    项目链接:https://cs.stanford.edu/~kaichun/partnet/
    论文链接:https://arxiv.org/abs/1812.02713
    简要:A 3D object database with fine-grained and hierarchical part annotation. To assist segmentation and affordance research.


    36、Adversarial Defense by Stratified Convolutional Sparse Coding
    作者:Bo Sun, Nian-hsuan Tsai, Fangchen Liu, Ronald Yu, Hao Su
    论文链接:https://arxiv.org/abs/1812.00037
    简要:An attack-agnostic defense mechanism for neural networks.
     

    37、Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval
    作者:Anjan Dutta, Zeynep Akata
    论文链接:https://arxiv.org/abs/1903.03372
     

    39、Ranked List Loss for Deep Metric Learning
    作者:Xinshao Wang, Yang Hua, Elyor Kodirov, Guosheng Hu, Romain Garnier, Neil M. Robertson
    论文链接:https://arxiv.org/abs/1903.03238


    40、Anatomical Priors in Convolutional Networks for Unsupervised Biomedical Segmentation
    作者:Adrian V. Dalca, John Guttag, Mert R. Sabuncu
    论文链接:https://arxiv.org/abs/1903.03148
     

    41、Refine and Distill: Exploiting Cycle-Inconsistency and Knowledge Distillation for Unsupervised Monocular Depth Estimation
    作者:Andrea Pilzer, Stéphane Lathuilière, Nicu Sebe, Elisa Ricci
    论文链接:https://arxiv.org/pdf/1903.04202.pdf


    42、Sliced Wasserstein Discrepancy for Unsupervised Domain Adaptation(领域自适应)
    作者:Chen-Yu Lee, Tanmay Batra, Mohammad Haris Baig, Daniel Ulbricht
    论文链接:https://arxiv.org/abs/1903.04064


    43、Deep Robust Subjective Visual Property Prediction in Crowdsourcing
    作者:Qianqian Xu, Zhiyong Yang, Yangbangyan Jiang, Xiaochun Cao, Qingming Huang, Yuan Yao
    论文链接:https://arxiv.org/abs/1903.03956


    44、Shape2Motion: Joint Analysis of Motion Parts and Attributes from 3D Shapes
    作者:Xiaogang Wang, Bin Zhou, Yahao Shi, Xiaowu Chen, Qinping Zhao, Kai Xu
    论文链接:https://arxiv.org/abs/1903.03911


    45、Fast Single Image Reflection Suppression via Convex Optimization
    作者:Yang Yang, Wenye Ma, Yin Zheng, Jian-Feng Cai, Weiyu Xu
    论文链接:https://arxiv.org/abs/1903.03889


    46、Scene Memory Transformer for Embodied Agents in Long-Horizon Tasks
    作者:Kuan Fang, Alexander Toshev, Li Fei-Fei, Silvio Savarese
    论文链接:https://arxiv.org/abs/1903.03878


    47、SSN: Learning Sparse Switchable Normalization via SparsestMax
    作者:Wenqi Shao, Tianjian Meng, Jingyu Li, Ruimao Zhang, Yudian Li, Xiaogang Wang, Ping Luo
    论文链接:https://arxiv.org/abs/1903.03793



    48、Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search
    作者:Xin Li, Yiming Zhou, Zheng Pan, Jiashi Feng
    论文链接:https://arxiv.org/abs/1903.03777


    49、Dense Classification and Implanting for Few-Shot Learning
    作者:Yann Lifchitz, Yannis Avrithis, Sylvaine Picard, Andrei Bursuc
    论文链接:https://arxiv.org/abs/1903.05050


    50、A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images(oral)
    作者:Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong
    论文链接:https://arxiv.org/abs/1903.04704


    51、Real-time self-adaptive deep stereo(oral)
    作者:Alessio Tonioni, Fabio Tosi, Matteo Poggi, Stefano Mattoccia, Luigi Di Stefano
    论文链接:https://arxiv.org/abs/1903.04704
    源码链接:https://github.com/CVLAB-Unibo/Real-time-self-adaptive-deep-stereo


    52、Scan2CAD: Learning CAD Model Alignment in RGB-D Scans(oral)
    作者:Armen Avetisyan, Manuel Dahnert, Angela Dai, Manolis Savva, Angel X. Chang, Matthias Nießner
    论文链接:https://arxiv.org/abs/1811.11187
    源码链接:https://github.com/skanti/Scan2CAD
    简要:Present Scan2CAD, a novel data-driven method that learns to align 3D CAD models from a shape database to 3D scans.


    53、HorizonNet: Learning Room Layout with 1D Representation and Pano Stretch Data Augmentation
    作者:Cheng Sun, Chi-Wei Hsiao, Min Sun, Hwann-Tzong Chen
    论文链接:https://arxiv.org/abs/1901.03861
    源码链接:https://github.com/sunset1995/HorizonNet


    54、A Skeleton-bridged Deep Learning Approach for Generating Meshes of Complex Topologies from Single RGB Images(oral)
    作者:Jiapeng Tang, Xiaoguang Han, Junyi Pan, Kui Jia, Xin Tong
    论文链接:https://arxiv.org/abs/1903.04704
     

    56、Tangent-Normal Adversarial Regularization for Semi-supervised Learning
    作者:Bing Yu, Jingfeng Wu, Jinwen Ma, Zhanxing Zhu
    论文链接:https://arxiv.org/abs/1808.06088


    57、Bringing Alive Blurred Moments
    作者:Kuldeep Purohit, Anshul Shah, A. N. Rajagopalan
    论文链接:https://arxiv.org/abs/1804.02913


    58、A Decomposition Algorithm for the Sparse Generalized Eigenvalue Problem
    作者:Ganzhao Yuan, Li Shen, Wei-Shi Zheng
    论文链接:https://arxiv.org/abs/1802.09303


    59、Hardness-Aware Deep Metric Learning(oral)
    作者:Wenzhao Zheng, Zhaodong Chen, Jiwen Lu, Jie Zhou
    论文链接:https://arxiv.org/abs/1903.05503
    代码链接:https://github.com/wzzheng/HDML(待更新


    60、Depth Coefficients for Depth Completion
    作者:Saif Imran, Yunfei Long, Xiaoming Liu, Daniel Morris
    论文链接:https://arxiv.org/abs/1903.05421


    61、3D Guided Fine-Grained Face Manipulation
    作者:Zhenglin Geng, Chen Cao, Sergey Tulyakov
    论文链接:https://arxiv.org/abs/1902.08900
    简要:Disentangle shape and texture and can continuously manipulate the facial expression.


    62、Scene Categorization from Contours: Medial Axis Based Salience Measures
    作者:Morteza Rezanejad, Gabriel Downs, John Wilder, Dirk B. Walther, Allan Jepson, Sven Dickinson, Kaleem Siddiqi
    论文链接:https://arxiv.org/abs/1811.10524v1



    64、Dense Relational Captioning: Triple-Stream Networks for Relationship-Based Captioning
    作者:Dong-Jin Kim, Jinsoo Choi, Tae-Hyun Oh, In So Kweon
    论文链接:https://arxiv.org/abs/1903.05942


    65、Putting Humans in a Scene: Learning Affordance in 3D Indoor Environments
    作者:Xueting Li, SIfei Liu, Kihwan Kim, Xiaolong Wang, Ming-Hsuan Yang, Jan Kautz
    论文链接:https://arxiv.org/abs/1903.05690


    66、Bringing Blurry Alive at High Frame-Rate with an Event Camera
    作者:Liyuan Pan, Richard Hartley, Cedric Scheerlinck, Miaomiao Liu, Xin Yu, Yuchao Dai
    论文链接:https://arxiv.org/abs/1903.06531


    67、MFAS: Multimodal Fusion Architecture Search
    作者:Juan-Manuel Pérez-Rúa, Valentin Vielzeuf, Stéphane Pateux, Moez Baccouche, Frédéric Jurie
    论文链接:https://arxiv.org/abs/1903.06496


    68、SimulCap : Single-View Human Performance Capture with Cloth Simulation
    作者:Tao Yu, Zerong Zheng, Yuan Zhong, Jianhui Zhao, Qionghai Dai, Gerard Pons-Moll, Yebin Liu
    论文链接:https://arxiv.org/abs/1903.06323



    69、Learning to Reconstruct People in Clothing from a Single RGB Camera
    作者:Thiemo Alldieck, Marcus Magnor, Bharat Lal Bhatnagar, Christian Theobalt, Gerard Pons-Moll
    论文链接:https://arxiv.org/abs/1903.05885


    70、Pluralistic Image Completion
    作者:Chuanxia Zheng, Tat-Jen Cham, Jianfei Cai
    论文链接:https://arxiv.org/abs/1903.04227
    源码链接:https://github.com/lyndonzheng/Pluralistic-Inpainting
    项目链接:http://www.chuanxiaz.com/publication/pluralistic/


    71、Snapshot Distillation: Teacher-Student Optimization in One Generation(金山云)
    作者:Chenglin Yang, Lingxi Xie, Chi Su, Alan L. Yuille
    论文链接:https://arxiv.org/abs/1812.00123v1
    论文简要:本文引见了第一种可以在训练单个模型的条件下完成教员-先生优化的办法——快照蒸馏(Snapshot Distillation),在不引入过多的计算耗费状况下,完成了继续的功能提升。


    72、Iterative Reorganization with Weak Spatial Constraints: Solving Arbitrary Jigsaw Puzzles for Unsupervised Representation Learning(金山云)
    作者:Chen Wei, Lingxi Xie, Xutong Ren, Yingda Xia, Chi Su, Jiaying Liu, Qi Tian, Alan L. Yuille
    论文链接:https://arxiv.org/abs/1812.00329
    论文简要:本文提出一种适用于恣意网格尺寸与维度的“拼图”成绩的新办法,同时提出了一个根本且具有普遍意义的准绳,即在无监视场景中较弱的信息更容易被学习,且具有更好的可迁移性。


    73、Learning Correspondence from the Cycle-Consistency of Time
    作者:Xiaolong Wang, Allan Jabri, Alexei A. Efros
    论文链接:https://arxiv.org/abs/1903.07593
    项目链接:https://ajabri.github.io/timecycle/


    74、Understanding the Limitations of CNN-based Absolute Camera Pose Regression
    作者:Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixe
    论文链接:https://arxiv.org/abs/1903.07504


    75、Semantic Image Synthesis with Spatially-Adaptive Normalization(Oral, 英伟达)
    作者:Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
    论文链接:https://arxiv.org/abs/1903.07291


    76、Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
    作者:Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li
    论文链接:https://arxiv.org/abs/1903.07256


    77、QATM: Quality-Aware Template Matching For Deep Learning
    作者:Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan
    论文链接:https://arxiv.org/abs/1903.07254


    78、AdaGraph: Unifying Predictive and ContinuousDomain Adaptation through Graphs(Oral)
    作者:Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci
    论文链接:https://arxiv.org/abs/1903.07062


    79、Unsupervised Part-Based Disentangling of Object Shape and Appearance(Oral)
    作者:Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer
    论文链接:https://arxiv.org/abs/1903.06946


    80、Fast Interactive Object Annotation with Curve-GCN
    作者:Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler
    论文链接:https://arxiv.org/abs/1903.06874


    81、Domain Generalization by Solving Jigsaw Puzzles
    作者:Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi
    论文链接:https://arxiv.org/abs/1903.06864


    82、Learning Correspondence from the Cycle-Consistency of Time
    作者:Xiaolong Wang, Allan Jabri, Alexei A. Efros
    论文链接:https://arxiv.org/abs/1903.07593
    项目链接:https://ajabri.github.io/timecycle/


    83、Understanding the Limitations of CNN-based Absolute Camera Pose Regression
    作者:Torsten Sattler, Qunjie Zhou, Marc Pollefeys, Laura Leal-Taixe
    论文链接:https://arxiv.org/abs/1903.07504


    84、Semantic Image Synthesis with Spatially-Adaptive Normalization(Oral, 英伟达)
    作者:Taesung Park, Ming-Yu Liu, Ting-Chun Wang, Jun-Yan Zhu
    论文链接:https://arxiv.org/abs/1903.07291


    85、Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection
    作者:Jia-Xing Zhong, Nannan Li, Weijie Kong, Shan Liu, Thomas H. Li, Ge Li
    论文链接:https://arxiv.org/abs/1903.07256


    86、QATM: Quality-Aware Template Matching For Deep Learning
    作者:Jiaxin Cheng, Yue Wu, Wael Abd-Almageed, Premkumar Natarajan
    论文链接:https://arxiv.org/abs/1903.07254


    87、AdaGraph: Unifying Predictive and ContinuousDomain Adaptation through Graphs(Oral)
    作者:Massimiliano Mancini, Samuel Rota Bulò, Barbara Caputo, Elisa Ricci
    论文链接:https://arxiv.org/abs/1903.07062


    88、Unsupervised Part-Based Disentangling of Object Shape and Appearance(Oral)
    作者:Dominik Lorenz, Leonard Bereska, Timo Milbich, Björn Ommer
    论文链接:https://arxiv.org/abs/1903.06946


    89、Fast Interactive Object Annotation with Curve-GCN
    作者:Huan Ling, Jun Gao, Amlan Kar, Wenzheng Chen, Sanja Fidler
    论文链接:https://arxiv.org/abs/1903.06874


    90、Domain Generalization by Solving Jigsaw Puzzles
    作者:Fabio Maria Carlucci, Antonio D'Innocente, Silvia Bucci, Barbara Caputo, Tatiana Tommasi
    论文链接:https://arxiv.org/abs/1903.06864


    91、Neural Sequential Phrase Grounding (SeqGROUND)
    作者:Pelin Dogan, Leonid Sigal, Markus Gross
    论文链接:https://arxiv.org/abs/1903.07669


    92、Probabilistic End-to-end Noise Correction for Learning with Noisy Labels
    作者:Kun Yi, Jianxin Wu
    论文链接:https://arxiv.org/abs/1903.07788


    93、MagicVO: End-to-End Monocular Visual Odometry through Deep Bi-directional Recurrent Convolutional Neural Network(单目视觉测距)
    作者:Jian Jiao, Jichao Jiao, Yaokai Mo, Weilun Liu, Zhongliang Deng
    论文链接:https://arxiv.org/abs/1811.10964
    论文摘要:本文提出了一种解决单眼视觉测距问题的新框架,称为MagicVO。 基于卷积神经网络(CNN)和双向LSTM(Bi-LSTM),MagicVO在摄像机的每个位置输出6-DoF绝对标度姿势,并以一系列连续单目图像作为输入。


    94、Hierarchical Discrete Distribution Decomposition for Match Density Estimation(立体匹配)
    作者:Zhichao Yin, Trevor Darrell, Fisher Yu
    论文链接:https://arxiv.org/abs/1812.06264
    论文简要:在本文中,我们提出了分层离散分布分解,称为HD3,以学习概率点和区域匹配。它不仅可以模拟匹配不确定性,还可以模拟区域传播。


    95、Learning Linear Transformations for Fast Arbitrary Style Transfer
    作者:Xueting Li, Sifei Liu, Jan Kautz, Ming-Hsuan Yang
    论文链接:https://arxiv.org/pdf/1808.04537v1.pdf


    96、Decoupling Direction and Norm for Efficient Gradient-Based L2 Adversarial Attacks and Defenses(Oral)
    作者:Jérôme Rony, Luiz G. Hafemann, Luiz S. Oliveira, Ismail Ben Ayed, Robert Sabourin, Eric Granger
    论文链接:https://arxiv.org/abs/1811.09600
    代码链接:https://github.com/jeromerony/fast_adversarial


    97、Graphical Contrastive Losses for Scene Graph Generation
    作者:Ji Zhang, Kevin J. Shih, Ahmed Elgammal, Andrew Tao, Bryan Catanzaro
    论文链接:https://arxiv.org/abs/1903.02728
    代码链接:https://github.com/NVIDIA/ContrastiveLosses4VRD


    98、Pay attention! - Robustifying a Deep Visuomotor Policy through Task-Focused Attention
    作者:Pooya Abolghasemi, Amir Mazaheri, Mubarak Shah, Ladislau Bölöni
    论文链接:https://arxiv.org/abs/1809.10093


    99、Cross-task weakly supervised learning from instructional videos
    作者:Dimitri Zhukov, Jean-Baptiste Alayrac, Ramazan Gokberk Cinbis, David Fouhey, Ivan Laptev, Josef Sivic
    论文链接:https://arxiv.org/abs/1903.08225


    100、Explainable and Explicit Visual Reasoning over Scene Graphs
    作者:Jiaxin Shi, Hanwang Zhang, Juanzi Li
    论文链接:https://arxiv.org/abs/1812.01855
    代码链接:https://github.com/shijx12/XNM-Net


    101、Single Image Deraining: A Comprehensive Benchmark Analysis
    作者:Siyuan Li, Iago Breno Araujo, Wenqi Ren, Zhangyang Wang, Eric K. Tokuda, Roberto Hirata Junior, Roberto Cesar-Junior, Jiawan Zhang, Xiaojie Guo, Xiaochun Cao
    论文链接:https://arxiv.org/abs/1903.08558
    代码链接:https://github.com/lsy17096535/Single-Image-Deraining


    102、Im2Pencil: Controllable Pencil Illustration from Photographs
    作者:Yijun Li, Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang
    论文链接:https://arxiv.org/abs/1903.08682
     

    104、DSFD: Dual Shot Face Detector(腾讯优图)
    作者:Jian Li, Yabiao Wang, Changan Wang, Ying Tai
    论文链接:https://arxiv.org/abs/1810.10220
    代码链接:https://github.com/TencentYoutuResearch/FaceDetection-DSFD
    微信公众号介绍链接:https://mp.weixin.qq.com/s/0rTCeHumVSv07hMCaCd7EA


    105、Attention-aware Multi-stroke Style Transfer
    作者:Yuan Yao, Jianqiang Ren, Xuansong Xie, Weidong Liu, Yong-Jin Liu, Jun Wang
    论文链接:https://arxiv.org/abs/1901.05127
    项目链接:https://sites.google.com/view/yuanyao/attention-aware-multi-stroke-style-transfer


    106、Veritatem Dies Aperit- Temporally Consistent Depth Prediction Enabled by a Multi-Task Geometric and Semantic Scene Understanding Approach
    作者:Amir Atapour-Abarghouei, Toby P. Breckon
    论文链接:https://arxiv.org/abs/1903.10764


    107、Semantic Alignment: Finding Semantically Consistent Ground-truth for Facial Landmark Detection
    作者:Zhiwei Liu, Xiangyu Zhu, Guosheng Hu, Haiyun Guo, Ming Tang, Zhen Lei, Neil M. Robertson, Jinqiao Wang
    论文链接:https://arxiv.org/abs/1903.10661


    108、Discovering Visual Patterns in Art Collections with Spatially-consistent Feature Learning
    作者:Xi Shen, Alexei A. Efros, Mathieu Aubry
    论文链接:https://arxiv.org/abs/1903.02678


    109、DeeperLab: Single-Shot Image Parser
    作者:Tien-Ju Yang, Maxwell D. Collins, Yukun Zhu, Jyh-Jing Hwang, Ting Liu, Xiao Zhang, Vivienne Sze, George Papandreou, Liang-Chieh Chen
    论文链接:https://arxiv.org/abs/1902.05093
    代码链接:https://github.com/tensorflow/models/tree/master/research/deeplab/evaluation
    项目链接:http://deeperlab.mit.edu/


    110、Im2Pencil: Controllable Pencil Illustration from Photographs(Adobe与谷歌云等)
    作者:Yijun Li,Chen Fang, Aaron Hertzmann, Eli Shechtman, Ming-Hsuan Yang
    论文链接:https://drive.google.com/file/d/1sl5IBD36bMWAvKH7Uz7An0mcrIOmlopv/view
    代码链接:https://github.com/Yijunmaverick/Im2Pencil


    111、Unsupervised Image Captioning
    作者:Yang Feng, Lin Ma, Wei Liu, Jiebo Luo
    论文链接:https://arxiv.org/abs/1811.10787
    代码链接:https://github.com/fengyang0317/unsupervised_captioning


    112、An End-to-End Network for Generating Social Relationship Graphs
    作者:Arushi Goel, Keng Teck Ma, Cheston Tan
    论文链接:https://arxiv.org/abs/1903.09784


    113、f-VAEGAN-D2: A Feature Generating Framework for Any-Shot Learning
    作者:Yongqin Xian, Saurabh Sharma, Bernt Schiele, Zeynep Akata
    论文链接:https://arxiv.org/abs/1903.10132


    114、Scale-Adaptive Neural Dense Features: Learning via Hierarchical Context Aggregation
    作者:Jaime Spencer, Richard Bowden, Simon Hadfield
    论文链接:https://arxiv.org/abs/1903.10427


    115、Learning Attraction Field Reprensentation for Robust Line Segment Detection
    作者:Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
    论文链接:https://arxiv.org/abs/1812.02122
    代码链接:https://github.com/cherubicXN/afm_cvpr2019


    116、Feature Denoising for Improving Adversarial Robustness
    作者:Cihang Xie, Yuxin Wu, Laurens van der Maaten, Alan Yuille, Kaiming He
    论文链接:https://arxiv.org/abs/1812.03411v2
    代码链接:https://github.com/facebookresearch/ImageNet-Adversarial-Training


    117、DynTypo: Example-based Dynamic Text Effects Transfer
    作者:Yifang Men Zhouhui Lian Yingmin Tang Jianguo Xiao
    项目链接:https://menyifang.github.io/projects/DynTypo/DynTypo.html


    118、Progressive Image Deraining Networks: A Better and Simpler Baseline
    作者:Dongwei Ren, Wangmeng Zuo, Qinghua Hu, Pengfei Zhu, Deyu Meng
    论文链接:https://arxiv.org/abs/1901.09221
    代码链接:https://github.com/csdwren/PReNet


    119、Transferable Interactiveness Prior for Human-Object Interaction Detection
    作者:Yong-Lu Li, Siyuan Zhou, Xijie Huang, Liang Xu, Ze Ma, Hao-Shu Fang, Yan-Feng Wang, Cewu Lu
    论文链接:https://arxiv.org/abs/1811.08264
    代码链接:https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network


    120、Speed Invariant Time Surface for Learning to Detect Corner Points with Event-Based Cameras
    作者:Jacques Manderscheid, Amos Sironi, Nicolas Bourdis, Davide Migliore, Vincent Lepetit
    论文链接:https://arxiv.org/abs/1903.11332


    121、Self-Supervised Learning via Conditional Motion Propagation
    作者:Xiaohang Zhan, Xingang Pan, Ziwei Liu, Dahua Lin, Chen Change Loy
    论文链接:https://arxiv.org/abs/1903.11412


    122、Privacy Protection in Street-View Panoramas using Depth and Multi-View Imagery
    作者:Ries Uittenbogaard, Clint Sebastian, Julien Vijverberg, Bas Boom, Dariu M. Gavrila, Peter H.N. de With
    论文链接:https://arxiv.org/abs/1903.11532


    123、Rethinking Knowledge Graph Propagation for Zero-Shot Learning(零样本学习/图卷积网络)
    作者:Michael Kampffmeyer, Yinbo Chen, Xiaodan Liang, Hao Wang, Yujia Zhang, Eric P. Xing
    论文链接:https://arxiv.org/abs/1805.11724v3
    代码链接:https://github.com/cyvius96/adgpm


    124、End-to-End Multi-Task Learning with Attention
    作者:Shikun Liu, Edward Johns, Andrew J. Davison
    论文链接:https://arxiv.org/abs/1803.10704


    125、Deep Transfer Learning for Multiple Class Novelty Detection
    作者:Pramuditha Perera, Vishal M. Patel
    论文链接:https://arxiv.org/abs/1903.02196


    126、Zoom to Learn, Learn to Zoom(Oral)
    作者:Xuaner Zhang Qifeng Chen Ren Ng Vladlen Koltun
    论文链接:https://cqf.io/papers/Zoom_To_Learn_CVPR2019.pdf


    127、Learning to Transfer Examples for Partial Domain Adaptation(领域自适应)
    作者:Zhangjie Cao, Kaichao You, Mingsheng Long, Jianmin Wang, Qiang Yang
    论文链接:https://arxiv.org/abs/1903.12230


    128、Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
    作者:Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
    论文链接:https://arxiv.org/abs/1903.12290


    129、Lending Orientation to Neural Networks for Cross-view Geo-localization
    作者:Liu Liu, Hongdong Li
    论文链接:https://arxiv.org/abs/1903.12351
    代码链接:https://github.com/Liumouliu/OriCNN


    130、Towards Accurate Task Accomplishment with Low-Cost Robotic Arms
    作者:Yiming Zuo, Weichao Qiu, Lingxi Xie, Fangwei Zhong, Yizhou Wang, Alan L. Yuille
    论文链接:https://arxiv.org/abs/1812.00725


    131、Robustness of 3D Deep Learning in an Adversarial Setting
    作者:Matthew Wicker, Marta Kwiatkowska
    论文链接:https://arxiv.org/abs/1904.00923
    源码链接:https://github.com/matthewwicker/IterativeSalienceOcclusion


    132、Depth from a polarisation + RGB stereo pair
    作者:Dizhong Zhu, William A.P. Smith
    论文链接:https://arxiv.org/abs/1903.12061
    源码链接:https://github.com/AmosZhu/CVPR2019


    133、Curls & Whey: Boosting Black-Box Adversarial Attacks(Oral)
    作者:Yucheng Shi, Siyu Wang, Yahong Han
    论文链接:https://arxiv.org/abs/1904.01160


    134、Effective Aesthetics Prediction with Multi-level Spatially Pooled Features
    作者:Vlad Hosu, Bastian Goldlucke, Dietmar Saupe
    论文链接:https://arxiv.org/abs/1904.01382


    135、Context and Attribute Grounded Dense Captioning
    作者:Guojun Yin, Lu Sheng, Bin Liu, Nenghai Yu, Xiaogang Wang, Jing Shao
    论文链接:https://arxiv.org/abs/1904.01410


    136、Good News, Everyone! Context driven entity-aware captioning for news images
    作者:Ali Furkan Biten, Lluis Gomez, Marçal Rusiñol, Dimosthenis Karatzas
    论文链接:https://arxiv.org/abs/1904.01475


    137、Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
    作者:Kaixuan Wei, Jiaolong Yang, Ying Fu, David Wipf, Hua Huang
    论文链接:https://arxiv.org/abs/1904.00637
    代码链接:https://github.com/Vandermode/ERRNet


    138、NM-Net: Mining Reliable Neighbors for Robust Feature Correspondences
    作者:Chen Zhao, Zhiguo Cao, Chi Li, Xin Li, Jiaqi Yang
    论文链接:https://arxiv.org/abs/1904.00320


    139、Scene Graph Generation with External Knowledge and Image Reconstruction
    作者:Jiuxiang Gu, Handong Zhao, Zhe Lin, Sheng Li, Jianfei Cai, Mingyang Ling
    论文链接:https://arxiv.org/abs/1904.00560


    140、Multi-source weak supervision for saliency detection
    作者:Yu Zeng, Yunzhi Zhuge, Huchuan Lu, Lihe Zhang, Mingyang Qian, Yizhou Yu
    论文链接:https://arxiv.org/abs/1904.00566


    141、Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements
    作者:Kaixuan Wei, Jiaolong Yang, Ying Fu, David Wipf, Hua Huang
    论文链接:https://arxiv.org/abs/1904.00637
    代码链接:https://github.com/Vandermode/ERRNet


    142、Searching for A Robust Neural Architecture in Four GPU Hours
    作者:Xuanyi Dong, Yi Yang
    代码链接:https://github.com/D-X-Y/GDAS (will be public soon)


    143、Conditional Adversarial Generative Flow for Controllable Image Synthesis
    作者:Rui Liu, Yu Liu, Xinyu Gong, Xiaogang Wang, Hongsheng Li
    论文链接:https://arxiv.org/pdf/1904.01782.pdf


    144、SFNet: Learning Object-aware Semantic Correspondence(Oral)
    作者:Junghyup Lee, Dohyung Kim, Jean Ponce, Bumsub Ham
    论文链接:https://arxiv.org/pdf/1904.01810.pdf


    145、Learning Context Graph for Person Search
    作者:Yichao Yan, Qiang Zhang, Bingbing Ni, Wendong Zhang, Minghao Xu, Xiaokang Yang
    论文链接:https://arxiv.org/pdf/1904.01830.pdf


    146、Geometry-Aware Symmetric Domain Adaptation for Monocular Depth Estimation
    作者:Shanshan Zhao, Huan Fu, Mingming Gong, Dacheng Tao
    论文链接:https://arxiv.org/abs/1904.01870


    147、CAM-Convs: Camera-Aware Multi-Scale Convolutions for Single-View Depth
    作者:Jose M. Facil, Benjamin Ummenhofer, Huizhong Zhou, Luis Montesano, Thomas Brox, Javier Civera
    论文链接:https://arxiv.org/abs/1904.02028
    项目链接:http://webdiis.unizar.es/~jmfacil/camconvs/


    148、Signal-to-Noise Ratio: A Robust Distance Metric for Deep Metric Learning
    作者:Tongtong Yuan, Weihong Deng, Jian Tang, Yinan Tang, Binghui Chen
    论文链接:https://arxiv.org/abs/1904.02616


    149、T-Net: Parametrizing Fully Convolutional Nets with a Single High-Order Tensor
    作者:Jean Kossaifi, Adrian Bulat, Georgios Tzimiropoulos, Maja Pantic
    论文链接:https://arxiv.org/abs/1904.02698


    150、Assessment of Faster R-CNN in Man-Machine collaborative search
    作者:Arturo Deza, Amit Surana, Miguel P. Eckstein
    论文链接:https://arxiv.org/abs/1904.02805


    151、Semantic Attribute Matching Networks
    作者:Seungryong Kim, Dongbo Min, Somi Jeong, Sunok Kim, Sangryul Jeon, Kwanghoon Sohn
    论文链接:https://arxiv.org/abs/1904.02969


    152、Learning to Remember: A Synaptic Plasticity Driven Framework for Continual Learning
    作者:Oleksiy Ostapenko, Tassilo Klein, Mihai Puscas, Patrick Jähnichen, Moin Nabi
    论文链接:https://arxiv.org/abs/1904.03137


    153、Unsupervised Image Matching and Object Discovery as Optimization
    作者:Huy V. Vo, Francis Bach, Minsu Cho, Kai Han, Yann LeCun, Patrick Perez, Jean Ponce
    论文链接:https://arxiv.org/abs/1904.03148
     

    154、Calibration of Asynchronous Camera Networks for Object Reconstruction Tasks
    作者:Amy Tabb, Henry Medeiros
    论文链接:https://arxiv.org/abs/1903.06811


    155、LP-3DCNN: Unveiling Local Phase in 3D Convolutional Neural Networks
    作者:Sudhakar Kumawat, Shanmuganathan Raman
    论文链接:https://arxiv.org/abs/1904.03498


    156、A Variational Auto-Encoder Model for Stochastic Point Processes
    作者:Nazanin Mehrasa, Akash Abdu Jyothi, Thibaut Durand, Jiawei He, Leonid Sigal, Greg Mori
    论文链接:https://arxiv.org/abs/1904.03273


    157、2.5D Visual Sound(FAIR Oral)
    作者:Ruohan Gao, Kristen Grauman
    论文链接:https://arxiv.org/abs/1812.04204
    项目链接:http://vision.cs.utexas.edu/projects/2.5D_visual_sound/
    源码链接:https://github.com/facebookresearch/FAIR-Play


    158、DeepLight: Learning Illumination for Unconstrained Mobile Mixed Reality
    作者:Chloe LeGendre, Wan-Chun Ma, Graham Fyffe, John Flynn, Laurent Charbonnel, Jay Busch, Paul Debevec
    论文链接:https://arxiv.org/abs/1904.01175


    159、What and How Well You Performed? A Multitask Learning Approach to Action Quality Assessment
    作者:Paritosh Parmar, Brendan Tran Morris
    论文链接:https://arxiv.org/abs/1904.04346


    160、SoDeep: a Sorting Deep net to learn ranking loss surrogates
    作者:Martin Engilberge, Louis Chevallier, Patrick Pérez, Matthieu Cord
    论文链接:https://arxiv.org/abs/1904.04272


    161、3D Local Features for Direct Pairwise Registration
    作者:Haowen Deng, Tolga Birdal, Slobodan Ilic
    论文链接:https://arxiv.org/abs/1904.04281


    162、Neural Rerendering in the Wild(Oral)
    作者:Moustafa Meshry, Dan B Goldman, Sameh Khamis, Hugues Hoppe, Rohit Pandey, Noah Snavely, Ricardo Martin-Brualla
    论文链接:https://arxiv.org/abs/1904.04290


    163、End-to-end Projector Photometric Compensation
    作者:Bingyao Huang, Haibin Ling
    论文链接:https://arxiv.org/abs/1904.04335


    164、Reliable and Efficient Image Cropping: A Grid Anchor based Approach
    作者:Hui Zeng, Lida Li, Zisheng Cao, Lei Zhang
    论文链接:https://arxiv.org/abs/1904.04441
    代码链接:https://github.com/HuiZeng/Grid-Anchor-based-Image-Cropping


    165、Graphonomy: Universal Human Parsing via Graph Transfer Learning
    作者:Ke Gong, Yiming Gao, Xiaodan Liang, Xiaohui Shen, Meng Wang, Liang Lin
    论文链接:https://arxiv.org/abs/1904.04536
    源码链接:https://github.com/Gaoyiminggithub/Graphonomy


    166、Deep Virtual Networks for Memory Efficient Inference of Multiple Tasks
    作者:Eunwoo Kim, Chanho Ahn, Philip H.S. Torr, Songhwai Oh
    论文链接:https://arxiv.org/abs/1904.04562


    167、Holistic and Comprehensive Annotation of Clinically Significant Findings on Diverse CT Images: Learning from Radiology Reports and Label Ontology(Oral)
    作者:Ke Yan, Yifan Peng, Veit Sandfort, Mohammadhadi Bagheri, Zhiyong Lu, Ronald M. Summers
    论文链接:https://arxiv.org/abs/1904.04661


    168、Domain-Symmetric Networks for Adversarial Domain Adaptation
    作者:Yabin Zhang, Hui Tang, Kui Jia, Mingkui Tan
    论文链接:https://arxiv.org/abs/1904.04663


    169、Label Propagation for Deep Semi-supervised Learning
    作者:Ahmet Iscen, Giorgos Tolias, Yannis Avrithis, Ondrej Chum
    论文链接:https://arxiv.org/abs/1904.04717



    170、Leveraging the Invariant Side of Generative Zero-Shot Learning
    作者:Jingjing Li, Mengmeng Jin, Ke Lu, Zhengming Ding, Lei Zhu, Zi Huang
    论文链接:https://arxiv.org/abs/1904.04092


    171、Learning monocular depth estimation infusing traditional stereo knowledge
    作者:Fabio Tosi, Filippo Aleotti, Matteo Poggi, Stefano Mattoccia
    论文链接:https://arxiv.org/abs/1904.04144
    代码链接:https://github.com/fabiotosi92/monoResMatch-Tensorflow


    172、nsupervised learning of action classes with continuous temporal embedding
    作者:Anna Kukleva, Hilde Kuehne, Fadime Sener, Juergen Gall
    论文链接:https://arxiv.org/abs/1904.04189


    173、GA-Net: Guided Aggregation Net for End-to-end Stereo Matching(Oral)
    作者:Feihu Zhang, Victor Prisacariu, Ruigang Yang, Philip H.S. Torr
    论文链接:https://arxiv.org/abs/1904.06587


    174、LiveSketch: Query Perturbations for Guided Sketch-based Visual Search
    作者:John Collomosse, Tu Bui, Hailin Jin
    论文链接:https://arxiv.org/abs/1904.06611


    175、Multi-Similarity Loss with General Pair Weighting for Deep Metric Learning
    论文链接:https://arxiv.org/abs/1904.06627
    源码链接:https://github.com/MalongTech/research-ms-loss


    176、ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging(Oral)
    作者:Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, James Hays
    论文链接:https://arxiv.org/abs/1904.06830


    177、Self-critical n-step Training for Image Captioning(图像生成)
    作者:Junlong Gao, Shiqi Wang, Shanshe Wang, Siwei Ma, Wen Gao
    论文链接:https://arxiv.org/abs/1904.06861



    178、C3AE: Exploring the Limits of Compact Model for Age Estimation
    作者:Chao Zhang, Shuaicheng Liu, Xun Xu, Ce Zhu
    论文链接:https://arxiv.org/abs/1904.05059


    179、DAVANet: Stereo Deblurring with View Aggregation(Oral)
    作者:Shangchen Zhou, Jiawei Zhang, Wangmeng Zuo, Haozhe Xie, Jinshan Pan, Jimmy Ren
    论文链接:https://arxiv.org/abs/1904.05065


    180、Actor-Critic Instance Segmentation
    作者:Kwang In Kim, Hyung Jin Chang
    论文链接:https://arxiv.org/abs/1904.05126


    181、Joint Manifold Diffusion for Combining Predictions on Decoupled Observations
    作者:Kwang In Kim, Hyung Jin Chang
    论文链接:https://arxiv.org/abs/1904.05159


    182、Iterative Residual Refinement for Joint Optical Flow and Occlusion Estimation
    作者:Junhwa Hur, Stefan Roth
    论文链接:https://arxiv.org/abs/1904.05290


    183、Spherical Regression: Learning Viewpoints, Surface Normals and 3D Rotations on n-Spheres
    作者:Shuai Liao, Efstratios Gavves, Cees G. M. Snoek
    论文链接:https://arxiv.org/abs/1904.05404
     

    184、Sliced Wasserstein Generative Models
    作者:Jiqing Wu, Zhiwu Huang, Dinesh Acharya, Wen Li, Janine Thoma, Danda Pani Paudel, Luc Van Gool
    论文链接:https://arxiv.org/abs/1904.05408
    源码链接:https://github.com/musikisomorphie/swd


    185、Learning to Generate Synthetic Data via Compositing
    作者:Shashank Tripathi, Siddhartha Chandra, Amit Agrawal, Ambrish Tyagi, James M. Rehg, Visesh Chari
    论文链接:https://arxiv.org/abs/1904.05475


    186、Mitigating Information Leakage in Image Representations: A Maximum Entropy Approach(Oral)
    作者:Proteek Chandan Roy, Vishnu Naresh Boddeti
    论文链接:https://arxiv.org/abs/1904.05514


    187、Unified Visual-Semantic Embeddings: Bridging Vision and Language with Structured Meaning Representations
    作者:Hao Wu, Jiayuan Mao, Yufeng Zhang, Yuning Jiang, Lei Li, Weiwei Sun, Wei-Ying Ma
    论文链接:https://arxiv.org/abs/1904.05521


    188、Reasoning Visual Dialogs with Structural and Partial Observations(Oral)
    作者:Zilong Zheng, Wenguan Wang, Siyuan Qi, Song-Chun Zhu
    论文链接:https://arxiv.org/abs/1904.05548


    189、C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object Detection
    作者:Fang Wan, Chang Liu, Wei Ke, Xiangyang Ji, Jianbin Jiao, Qixiang Ye
    论文链接:https://arxiv.org/abs/1904.05647


    190、TAFE-Net: Task-Aware Feature Embeddings for Low Shot Learning
    作者:Xin Wang, Fisher Yu, Ruth Wang, Trevor Darrell, Joseph E. Gonzalez
    论文链接:https://arxiv.org/abs/1904.05967


    191、Real-Time Dense Stereo Embedded in A UAV for Road Inspection
    作者:Rui Fan, Jianhao Jiao, Jie Pan, Huaiyang Huang, Shaojie Shen, Ming Liu
    论文链接:https://arxiv.org/abs/1904.06017


    192、Unifying Heterogeneous Classifiers with Distillation
    作者:Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini-Scarzanella
    论文链接:https://arxiv.org/abs/1904.06062


    193、Learning joint reconstruction of hands and manipulated objects
    作者:Yana Hasson, Gül Varol, Dimitrios Tzionas, Igor Kalevatykh, Michael J. Black, Ivan Laptev, Cordelia Schmid
    论文链接:https://arxiv.org/abs/1904.05767


    194、Probabilistic Permutation Synchronization using the Riemannian Structure of the Birkhoff Polytope(Oral)
    作者:Tolga Birdal, Umut Şimşekli
    论文链接:https://arxiv.org/abs/1904.05814


    195、Variational Information Distillation for Knowledge Transfer
    作者:Sungsoo Ahn, Shell Xu Hu, Andreas Damianou, Neil D. Lawrence, Zhenwen Dai
    论文链接:https://arxiv.org/abs/1904.05835


    196、Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
    作者:Georgios Pavlakos, Vasileios Choutas, Nima Ghorbani, Timo Bolkart, Ahmed A. A. Osman, Dimitrios Tzionas, Michael J. Black
    论文链接:https://arxiv.org/abs/1904.05866



    197、A Simple Baseline for Audio-Visual Scene-Aware Dialog
    作者:Idan Schwartz, Alexander Schwing, Tamir Hazan
    论文链接:https://arxiv.org/abs/1904.05876


    198、Two Body Problem: Collaborative Visual Task Completion
    作者:Unnat Jain, Luca Weihs, Eric Kolve, Mohammad Rastegari, Svetlana Lazebnik, Ali Farhadi, Alexander Schwing, Aniruddha Kembhavi
    论文链接:https://arxiv.org/abs/1904.05879


    199、Factor Graph Attention
    作者:Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing
    论文链接:https://arxiv.org/abs/1904.05880


    200、Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning
    作者:Wenbin Li, Lei Wang, Jinglin Xu, Jing Huo, Yang Gao, Jiebo Luo
    论文链接:http://cs.nju.edu.cn/rl/people/liwb/CVPR19.pdf
    源码链接:https://github.com/WenbinLee/DN4.git


    201、Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders
    作者:Edgar Schönfeld, Sayna Ebrahimi, Samarth Sinha, Trevor Darrell, Zeynep Akata
    论文链接:https://arxiv.org/abs/1812.01784
    源码链接:https://github.com/edgarschnfld/CADA-VAE-PyTorch


    202、Learning Attraction Field Representation for Robust Line Segment Detection
    作者:Nan Xue, Song Bai, Fudong Wang, Gui-Song Xia, Tianfu Wu, Liangpei Zhang
    论文链接:https://arxiv.org/abs/1812.02122
    源码链接:https://github.com/cherubicXN/afm_cvpr2019


    203、Live Reconstruction of Large-Scale Dynamic Outdoor Worlds
    作者:Ondrej Miksik, Vibhav Vineet
    论文链接:https://arxiv.org/abs/1903.06708


    204、Automatic adaptation of object detectors to new domains using self-training
    作者:Aruni RoyChowdhury, Prithvijit Chakrabarty, Ashish Singh, SouYoung Jin, Huaizu Jiang, Liangliang Cao, Erik Learned-Miller
    论文链接:https://arxiv.org/abs/1904.07305


    205、A Bayesian Perspective on the Deep Image Prior
    作者:Zezhou Cheng, Matheus Gadelha, Subhransu Maji, Daniel Sheldon
    论文链接:https://arxiv.org/abs/1904.07457
    源码链接:https://github.com/ZezhouCheng/GP-DIP


    206、Focus Is All You Need: Loss Functions For Event-based Vision
    作者:Guillermo Gallego, Mathias Gehrig, Davide Scaramuzza
    论文链接:https://arxiv.org/abs/1904.07235


    207、Semantically Aligned Bias Reducing Zero Shot Learning
    作者:Akanksha Paul, Narayanan C. Krishnan, Prateek Munjal
    论文链接:https://arxiv.org/abs/1904.07659


    208、ComDefend: An Efficient Image Compression Model to Defend Adversarial Examples
    作者:Xiaojun Jia, Xingxing Wei, Xiaochun Cao, Hassan Foroosh
    论文链接:http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html
    源码链接:https://github.com/jiaxiaojunQAQ/Comdefend
    论文解读:CVPR 2019 | 图像压缩重建也能抵御对抗样本,这是一种新的防守策略


    209、REPAIR: Removing Representation Bias by Dataset Resampling
    作者:Yi Li, Nuno Vasconcelos
    论文链接:https://arxiv.org/abs/1904.07911
    源码链接:https://github.com/JerryYLi/Dataset-REPAIR/


    210、Devil is in the Edges: Learning Semantic Boundaries from Noisy Annotations(Oral)
    作者:David Acuna, Amlan Kar, Sanja Fidler
    论文链接:https://arxiv.org/abs/1904.07934
    项目链接:https://nv-tlabs.github.io/STEAL/


    211、Multi-Scale Geometric Consistency Guided Multi-View Stereo
    作者:Qingshan Xu, Wenbing Tao
    论文链接:https://arxiv.org/abs/1904.08103


    212、DistanceNet: Estimating Traveled Distance from Monocular Images using a Recurrent Convolutional Neural Network
    作者:Robin Kreuzig, Matthias Ochs, Rudolf Mester
    论文链接:https://arxiv.org/abs/1904.08105


    213、Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection
    作者:Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch, Yann Gousseau
    论文链接:https://arxiv.org/abs/1904.08208


    214、LO-Net: Deep Real-time Lidar Odometry
    作者:Qing Li, Shaoyang Chen, Cheng Wang, Xin Li, Chenglu Wen, Ming Cheng, Jonathan Li
    论文链接:https://arxiv.org/abs/1904.08242


    215、Events-to-Video: Bringing Modern Computer Vision to Event Cameras
    作者:Henri Rebecq, René Ranftl, Vladlen Koltun, Davide Scaramuzza
    论文链接:https://arxiv.org/abs/1904.08298


    216、ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging(Oral)
    作者: Samarth Brahmbhatt, Cusuh Ham, Charles C. Kemp, and James Hays
    论文链接:https://contactdb.cc.gatech.edu/contactdb_paper.pdf
    源码链接:https://github.com/samarth-robo/contactdb_prediction


    217、Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
    作者:Junsik Kim, Tae-Hyun Oh, Seokju Lee, Fei Pan, In So Kweon
    论文链接:https://arxiv.org/abs/1904.08482


    218、Few-Shot Learning with Localization in Realistic Settings
    作者:Davis Wertheimer, Bharath Hariharan
    论文链接:https://arxiv.org/abs/1904.08502


    219、Progressive Attention Memory Network for Movie Story Question Answering
    作者:Junyeong Kim, Minuk Ma, Kyungsu Kim, Sungjin Kim, Chang D. Yoo
    论文链接:https://arxiv.org/abs/1904.08607


    220、DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
    作者:Toby Perrett, Dima Damen
    论文链接:https://arxiv.org/abs/1904.08634


    221、A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
    作者:Thanh-Toan Do, Toan Tran, Ian Reid, Vijay Kumar, Tuan Hoang, Gustavo Carneiro
    论文链接:https://arxiv.org/abs/1904.08720
     

    222、4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
    作者:Christopher Choy, JunYoung Gwak, Silvio Savarese
    论文链接:https://arxiv.org/abs/1904.08755


    223、Attentive Single-Tasking of Multiple Tasks
    作者:Kevis-Kokitsi Maninis, Ilija Radosavovic, Iasonas Kokkinos
    论文链接:https://arxiv.org/abs/1904.08918


    224、Listen to the Image
    作者:Di Hu, Dong Wang, Xuelong Li, Feiping Nie, Qi Wang
    论文链接:https://arxiv.org/abs/1904.09115


    225、SelFlow: Self-Supervised Learning of Optical Flow
    作者:Pengpeng Liu, Michael Lyu, Irwin King, Jia Xu
    论文链接:https://arxiv.org/abs/1904.09117


    226、Visualizing the decision-making process in deep neural decision forest
    作者:Shichao Li, Kwang-Ting Cheng
    论文链接:https://arxiv.org/abs/1904.09201
    源码链接:https://github.com/Nicholasli1995/VisualizingNDF


    227、Data-Driven Neuron Allocation for Scale Aggregation Networks
    作者:Yi Li, Zhanghui Kuang, Yimin Chen, Wayne Zhang
    论文链接:https://arxiv.org/abs/1904.09460


    228、TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
    作者:Wayne Wu, Kaidi Cao, Cheng Li, Chen Qian, Chen Change Loy
    论文链接:https://arxiv.org/abs/1904.09571


    229、Deep Metric Learning Beyond Binary Supervision(Oral)
    作者:Sungyeon Kim, Minkyo Seo, Ivan Laptev, Minsu Cho, Suha Kwak
    论文链接:https://arxiv.org/abs/1904.09626


    230、Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
    作者: Despoina Paschalidou, Ali Osman Ulusoy, Andreas Geiger
    论文链接:https://arxiv.org/abs/1904.09970
    源码链接:https://github.com/paschalidoud/superquadric_parsing


    231、Unsupervised Person Image Generation with Semantic Parsing Transformation
    作者:Sijie Song, Wei Zhang, Jiaying Liu, Tao Mei
    论文链接:https://arxiv.org/abs/1904.03379
    项目链接:https://github.com/SijieSong/person_generation_spt


    232、Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
    作者:Tianyang Zhao, Yifei Xu, Mathew Monfort, Wongun Choi, Chris Baker, Yibiao Zhao, Yizhou Wang, Ying Nian Wu
    论文链接:https://arxiv.org/abs/1904.04776


    233、Learning Actor Relation Graphs for Group Activity Recognition
    作者:Jianchao Wu, Limin Wang, Li Wang, Jie Guo, Gangshan Wu
    论文链接:https://arxiv.org/abs/1904.10117


    234、Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
    作者:Jingwen Ye, Yixin Ji, Xinchao Wang, Kairi Ou, Dapeng Tao, Mingli Song
    论文链接:https://arxiv.org/abs/1904.10167


    235、Attention-guided Network for Ghost-free High Dynamic Range Imaging
    作者:Qingsen Yan, Dong Gong, Qinfeng Shi, Anton van den Hengel, Chunhua Shen, Ian Reid, Yanning Zhang
    论文链接:https://arxiv.org/abs/1904.10293


    236、Sim-Real Joint Reinforcement Transfer for 3D Indoor Navigation
    作者:Fengda Zhu, Linchao Zhu, Yi Yang
    论文链接:https://arxiv.org/abs/1904.03895


    237、Detailed Human Shape Estimation from a Single Image by Hierarchical Mesh Deformation
    作者:Hao Zhu, Xinxin Zuo, Sen Wang, Xun Cao, Ruigang Yang
    论文链接:https://arxiv.org/abs/1904.10506v1
    源码链接:https://github.com/zhuhao-nju/hmd.git


    238、Universal Domain Adaptation
    作者:Kaichao You, Mingsheng Long, Zhangjie Cao, Jianmin Wang, and Michael . Jordan
    论文链接:https://youkaichao.github.io/files/cvpr2019/1628.pdf
    源码链接:https://github.com/thuml/Universal-Domain-Adaptation


    239、STGAN: A Unified Selective Transfer Network for Arbitrary Image Attribute Editing
    作者:Ming Liu, Yukang Ding, Min Xia, Xiao Liu, Errui Ding, Wangmeng Zuo, Shilei Wen
    论文链接:https://arxiv.org/abs/1904.09709
    源码链接:https://github.com/csmliu/STGAN


    240、DeepCaps: Going Deeper with Capsule Networks
    作者:Jathushan Rajasegaran, Vinoj Jayasundara, Sandaru Jayasekara, Hirunima Jayasekara, Suranga Seneviratne, Ranga Rodrigo
    论文链接:https://arxiv.org/abs/1904.09546
    源码链接:https://github.com/brjathu/deepcaps


    241、Representation Similarity Analysis for Efficient Task taxonomy & Transfer Learning
    作者:Kshitij Dwivedi, Gemma Roig
    论文链接:https://arxiv.org/abs/1904.11740
    源码链接:https://github.com/kshitijd20/RSA-CVPR19-release


    242、Improving Few-Shot User-Specific Gaze Adaptation via Gaze Redirection Synthesis
    作者:Yu Yu, Gang Liu, Jean-Marc Odobez
    论文链接:https://arxiv.org/abs/1904.10638


    243、Transferrable Prototypical Networks for Unsupervised Domain Adaptation(Oral)
    作者:Yingwei Pan, Ting Yao, Yehao Li, Yu Wang, Chong-Wah Ngo, Tao Mei
    论文链接:https://arxiv.org/abs/1904.11227


    244、Exploring Object Relation in Mean Teacher for Cross-Domain Detection
    作者:Qi Cai, Yingwei Pan, Chong-Wah Ngo, Xinmei Tian, Lingyu Duan, Ting Yao
    论文链接:https://arxiv.org/abs/1904.11245


    245、Pointing Novel Objects in Image Captioning
    作者:Yehao Li, Ting Yao, Yingwei Pan, Hongyang Chao, Tao Mei
    论文链接:https://arxiv.org/abs/1904.11251



    246、Style Transfer by Relaxed Optimal Transport and Self-Similarity
    作者:Nicholas Kolkin, Jason Salavon, Gregory Shakhnarovich
    论文链接:https://arxiv.org/pdf/1904.12785.pdf
    源码链接:https://github.com/nkolkin13/STROTSS


    247、Decoders Matter for Semantic Segmentation:Data-Dependent Decoding Enables Flexible Feature Aggregation
    作者:Zhi Tian, Tong He, Chunhua Shen, Youliang Yan
    论文链接:https://arxiv.org/abs/1903.02120


    248、Improving Transferability of Adversarial Examples with Input Diversity
    作者:Cihang Xie; Yuyin Zhou; Song Bai; Zhishuai Zhang; Jianyu Wang; Zhou Ren; Alan Yuille
    论文链接:https://arxiv.org/abs/1803.06978
    源码链接:https://github.com/cihangxie/DI-2-FGSM


    249、Contrastive Adaptation Network for Unsupervised Domain Adaptation
    作者:Guoliang Kang, Lu Jiang, Yi Yang, Alexander G Hauptmann
    论文链接:https://arxiv.org/pdf/1901.00976.pdf


    250、Weakly Supervised Open-set Domain Adaptation by Dual-domain Collaboration
    作者:Shuhan Tan, Jiening Jiao, Wei-Shi Zheng
    论文链接:https://arxiv.org/abs/1904.13179


    251、Self-Supervised Convolutional Subspace Clustering Network
    作者:Junjian Zhang, Chun-Guang Li, Chong You, Xianbiao Qi, Honggang Zhang, Jun Guo, Zhouchen Lin
    论文链接:https://arxiv.org/abs/1905.00149


    252、AdaCos: Adaptively Scaling Cosine Logits for Effectively Learning Deep Face Representations
    作者:Xiao Zhang, Rui Zhao, Yu Qiao, Xiaogang Wang, Hongsheng Li
    论文链接:https://arxiv.org/abs/1905.00292


    253、Pushing the Boundaries of View Extrapolation with Multiplane Images
    作者:Pratul P. Srinivasan, Richard Tucker, Jonathan T. Barron, Ravi Ramamoorthi, Ren Ng, Noah Snavely
    论文链接:https://arxiv.org/abs/1905.00413


    254、Lifting Vectorial Variational Problems: A Natural Formulation based on Geometric Measure Theory and Discrete Exterior Calculus
    作者:Thomas Möllenhoff, Daniel Cremers
    论文链接:https://arxiv.org/abs/1905.00851


    255、Learning Cross-Modal Embeddings with Adversarial Networks for Cooking Recipes and Food Images
    作者:Hao Wang, Doyen Sahoo, Chenghao Liu, Ee-peng Lim, Steven C. H. Hoi
    论文链接:https://arxiv.org/abs/1905.01273



    256、Dissecting Person Re-identification from the Viewpoint of Viewpoint
    作者:Ting Zhao, Xiangqian Wu
    论文链接:https://arxiv.org/abs/1812.02162
    源码链接:https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint


    257、Meta-Transfer Learning for Few-Shot Learning
    作者:Qianru Sun, Yaoyao Liu, Tat-Seng Chua, Bernt Schiele
    论文链接:https://arxiv.org/pdf/1812.02391.pdf
    源码链接:https://github.com/y2l/meta-transfer-learning-tensorflow


    258、Generating Classification Weights with GNN Denoising Autoencoders for Few-Shot Learning
    作者:Spyros Gidaris, Nikos Komodakis
    论文链接:https://arxiv.org/abs/1905.01102
    源码链接:https://github.com/gidariss/wDAE_GNN_FewShot


    259、Query-guided End-to-End Person Search
    作者:Bharti Munjal, Sikandar Amin, Federico Tombari, Fabio Galasso
    论文链接:https://arxiv.org/abs/1905.01203


    260、Edge-labeling Graph Neural Network for Few-shot Learning
    作者:Jongmin Kim, Taesup Kim, Sungwoong Kim, Chang D. Yoo
    论文链接:https://arxiv.org/abs/1905.01436


    261、Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery
    作者:Tao Sun, Zonglin Di, Pengyu Che, Chun Liu, Yin Wang
    论文链接:https://arxiv.org/abs/1905.01447


    262、Towards Instance-level Image-to-Image Translation
    作者:Zhiqiang Shen, Mingyang Huang, Jianping Shi, Xiangyang Xue, Thomas Huang
    论文链接:https://arxiv.org/abs/1905.01744
    项目链接:http://zhiqiangshen.com/projects/INIT/index.html


    263、P2SGrad: Refined Gradients for Optimizing Deep Face Models
    作者:Xiao Zhang, Rui Zhao, Junjie Yan, Mengya Gao, Yu Qiao, Xiaogang Wang, Hongsheng Li
    论文链接:https://arxiv.org/abs/1905.02479


    264、Capture, Learning, and Synthesis of 3D Speaking Styles
    作者:Daniel Cudeiro, Timo Bolkart, Cassidy Laidlaw, Anurag Ranjan, Michael J. Black
    论文链接:https://arxiv.org/abs/1905.03079


    265、Convolutional Mesh Regression for Single-Image Human Shape Reconstruction
    作者:Nikos Kolotouros, Georgios Pavlakos, Kostas Daniilidis
    论文链接:https://arxiv.org/abs/1905.03244
    项目链接:https://www.seas.upenn.edu/~nkolot/projects/cmr/


    266、Learning Loss for Active Learning
    作者:Donggeun Yoo, In So Kweon
    论文链接:https://arxiv.org/abs/1905.03677


    267、Deep Sky Modeling for Single Image Outdoor Lighting Estimation
    作者:Yannick Hold-Geoffroy, Akshaya Athawale, Jean-François Lalonde
    论文链接:https://arxiv.org/abs/1905.03897


    268、Exact Adversarial Attack to Image Captioning via Structured Output Learning with Latent Variables
    作者:Yan Xu, Baoyuan Wu, Fumin Shen, Yanbo Fan, Yong Zhang, Heng Tao Shen, Wei Liu
    论文链接:https://arxiv.org/abs/1905.04016


    269、Domain-Aware Generalized Zero-Shot Learning
    作者:Yuval Atzmon, Gal Chechik
    论文链接:https://arxiv.org/pdf/1812.09903.pdf


    270、Hybrid-Attention based Decoupled Metric Learning for Zero-Shot Image Retrieval
    作者:Binghui Chen, Weihong Deng
    论文链接:http://www.bhchen.cn/paper/cvpr19.pdf
    源码链接:https://github.com/chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning


    271、Generative Dual Adversarial Network for Generalized Zero-shot Learning
    作者:He Huang, Changhu Wang, Philip S. Yu, Chang-Dong Wang
    论文链接:https://arxiv.org/abs/1811.04857
    源码链接:https://github.com/stevehuanghe/GDAN


    281、Learning to Fuse Things and Stuff
    作者:Jie Li, Allan Raventos, Arjun Bhargava, Takaaki Tagawa, Adrien Gaidon
    论文链接:https://arxiv.org/pdf/1812.01192.pdf


    282、On Finding Gray Pixels
    作者:Yanlin Qian, Joni-Kristian Kämäräinen, Jarno Nikkanen, Jiri Matas
    论文链接:https://arxiv.org/abs/1901.03198
    源码链接:https://github.com/yanlinqian/Grayness-Index (matlab)


    283、Wide-Context Semantic Image Extrapolation
    作者:Yi Wang, Xin Tao, Xiaoyong Shen, Jiaya Jia
    论文链接:http://jiaya.me/papers/imgextrapolation_cvpr19.pdf


    284、Polarimetric Camera Calibration Using an LCD Monitor
    作者:Zhixiang Wang, Yinqiang Zheng, Yung-Yu Chuang
    论文链接:https://www.csie.ntu.edu.tw/~cyy/publications/papers/Wang2019PCC.pdf


    285、SiCloPe: Silhouette-Based Clothed People
    作者:Ryota Natsume, Shunsuke Saito, Zeng Huang, Weikai Chen, Chongyang Ma, Hao Li, Shigeo Morishima
    论文链接:https://arxiv.org/abs/1901.00049


    286、From Coarse to Fine: Robust Hierarchical Localization at Large Scale
    作者:Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, Marcin Dymczyk
    论文链接:https://arxiv.org/abs/1812.03506


    287、Label Efficient Semi-Supervised Learning via Graph Filtering
    作者:Qimai Li,Xiao-Ming Wu,Han Liu,Xiaotong Zhang
    论文链接:https://arxiv.org/pdf/1901.09993.pdf


    288、Learning Video Representations from Correspondence Proposals(Oral)
    作者:Xingyu Liu, Joon-Young Lee, Hailin Jin
    论文链接:https://arxiv.org/abs/1905.07853


    289、Side Window Filtering(Oral)
    作者:Hui Yin, Yuanhao Gong, Guoping Qiu
    论文链接:https://arxiv.org/abs/1905.07177
    源码链接:https://github.com/YuanhaoGong/SideWindowFilter


    290、Spectral Metric for Dataset Complexity Assessment
    作者:Frederic Branchaud-Charron, Andrew Achkar, Pierre-Marc Jodoin
    论文链接:https://arxiv.org/abs/1905.07299


    291、Disentangling Adversarial Robustness and Generalization
    作者:David Stutz, Matthias Hein, Bernt Schiele
    论文链接:https://arxiv.org/abs/1812.00740


    292、Kernel Transformer Networks for Compact Spherical Convolution(Facebook)
    作者:Yu-Chuan Su, Kristen Grauman
    论文链接:https://research.fb.com/wp-content/uploads/2019/05/Kernel-Transformer-Networks-for-Compact-Spherical-Convolution.pdf


    293、Learning 3D Human Dynamics from Video
    作者:Angjoo Kanazawa, Jason Y. Zhang, Panna Felsen, Jitendra Malik
    论文链接:https://arxiv.org/abs/1812.01601
    项目链接:https://akanazawa.github.io/human_dynamics/
    源码链接:https://github.com/akanazawa/human_dynamics


    294、Bridging Stereo Matching and Optical Flow via Spatiotemporal Correspondence
    作者:Hsueh-Ying Lai, Yi-Hsuan Tsai, Wei-Chen Chiu
    论文链接:https://arxiv.org/abs/1905.09265
    源码链接:https://github.com/lelimite4444/BridgeDepthFlow


    295、Multi-Level Context Ultra-Aggregation for Stereo Matching(南开大学)
    作者:Guang-Yu Nie, Ming-Ming Cheng, Yun Liu, Zhengfa Liang
    论文链接:http://dpfan.net/wp-content/uploads/09CVPR_StereoMatching_CameraReady_V12_final.pdf
    项目链接:http://mmcheng.net/zh/mcua/


    296、DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation
    作者:Jeong Joon Park, Peter Florence, Julian Straub, Richard Newcombe, Steven Lovegrove
    论文链接:https://arxiv.org/abs/1901.05103
    源码链接:https://github.com/Oktosha/DeepSDF-explained


    297、Learning Implicit Fields for Generative Shape Modeling
    作者:Zhiqin Chen, Hao Zhang
    论文链接:https://arxiv.org/abs/1812.02822
    源码链接:https://github.com/czq142857/implicit-decoder


    298、ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
    作者:Han Cai, Ligeng Zhu, Song Han
    论文链接:https://arxiv.org/abs/1812.00332
    源码链接:https://github.com/MIT-HAN-LAB/ProxylessNAS


    299、Detect-to-Retrieve: Efficient Regional Aggregation for Image Search
    作者:Marvin Teichmann, Andre Araujo, Menglong Zhu, Jack Sim
    论文链接:https://arxiv.org/abs/1812.01584
    源码链接:https://github.com/tensorflow/models/tree/master/research/delf


    300、Speech2Face: Learning the Face Behind a Voice
    作者:Tae-Hyun Oh, Tali Dekel, Changil Kim, Inbar Mosseri, William T. Freeman, Michael Rubinstein, Wojciech Matusik
    论文链接:https://arxiv.org/abs/1905.09773
    项目链接:https://speech2face.github.io/


    301、Detecting Overfitting of Deep Generators via Latent Recovery

    作者:Ryan Webster, Julien Rabin, Loic Simon, Frederic Jurie
    论文链接:https://arxiv.org/pdf/1901.03396v1.pdf
    源码链接:https://github.com/ryanwebster90/gen-overfitting-latent-recovery


    302、Unsupervised Deep Epipolar Flow for Stationary or Dynamic Scenes

    用于静止或动态场景的无监督深度极线流

    作者:Yiran Zhong, Pan Ji, Jianyuan Wang, Yuchao Dai, Hongdong Li
    论文链接:https://arxiv.org/pdf/1904.03848v1.pdf
    源码链接:https://github.com/yiranzhong/EPIflow


    303、Isospectralization, or how to hear shape, style, and correspondence

    Isospectization,或如何听取形状,风格和通信

    作者:Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
    论文链接:https://arxiv.org/abs/1811.11465v2
    源码链接:https://github.com/lcosmo/isospectralization


    304、From Recognition to Cognition: Visual Commonsense Reasoning(Oral)

    从认知到认知:视觉常识推理

    作者:Rowan Zellers, Yonatan Bisk, Ali Farhadi, Yejin Choi
    论文链接:https://arxiv.org/pdf/1811.10830v2.pdf
    源码链接:https://github.com/rowanz/r2c


    305、Unsupervised Visual Domain Adaptation: A Deep Max-Margin Gaussian Process Approach(Oral)

    Unsupervised Visual Domain Adaptation:深度最大边缘高斯过程方法

    作者:Minyoung Kim, Pritish Sahu, Behnam Gholami, Vladimir Pavlovic
    论文链接:https://arxiv.org/pdf/1902.08727.pdf
    源码链接:https://github.com/seqam-lab/GPDA


    306、Deformable ConvNets v2: More Deformable, Better Results

    Deformable ConvNets v2:更加可变形,更好的结果

    作者:Xizhou Zhu, Han Hu, Stephen Lin, Jifeng Dai
    论文链接:https://arxiv.org/pdf/1811.11168v2.pdf
    源码链接:https://github.com/msracver/Deformable-ConvNets

    展开全文
  • CVPR2019 Oral全部论文分类整理版

    千次阅读 2019-08-09 20:05:57
    CVPR2019 Oral全部论文分类整理版 分类整理了CVPR2019Oral 的全部论文,供需要的人阅读。 云盘链接: 链接: https://pan.baidu.com/s/1dPQNlWxa93KXZrxphm68Vw 提取码: 37g2 ...

    CVPR2019 Oral全部论文分类整理版

    我分类整理了CVPR2019Oral 的全部论文,供需要的人阅读。

    云盘链接:
    链接: https://pan.baidu.com/s/1dPQNlWxa93KXZrxphm68Vw 提取码: 37g2

    展开全文
  • CVPR2020 论文已经在官网上线了!大会5天后正式开始 http://openaccess.thecvf.com/CVPR2020.py 转自微信公众号: “ 目标检测与跟踪基础前沿 “ ** ” 目标跟踪基础与智能前沿 “ ** 点击上方链接,扫码关注,回复...

    图森未来 2021届 提前批 岗位
    图森未来 自动驾驶2021届 提前批 内推 :投递方式

    CVPR2020 论文已经在官网上线了!大会5天后正式开始
    http://openaccess.thecvf.com/CVPR2020.py

    **

    ” 目标跟踪基础与智能前沿 “

    **

    点击上方链接,扫码关注,回复“CVPR”,即可获得下载链接

    在这里插入图片描述
    人脸检测/识别/重建
    Towards Universal Representation Learning for Deep Face Recognition
    论文:https://arxiv.org/abs/2002.11841

    Suppressing Uncertainties for Large-Scale Facial Expression Recognition
    论文:https://arxiv.org/abs/2002.10392
    代码:https://github.com/kaiwang960112/Self-Cure-Network

    Face X-ray for More General Face Forgery Detection
    论文:https://arxiv.org/pdf/1912.13458.pdf

    CurricularFace: Adaptive Curriculum Learning Loss for Deep Face Recognition
    论文:https://arxiv.org/abs/2004.00288
    代码:https://github.com/HuangYG123/CurricularFace

    Learning Meta Face Recognition in Unseen Domains
    论文:https://arxiv.org/abs/2003.07733
    代码:https://github.com/cleardusk/MFR

    Searching Central Difference Convolutional Networks for Face Anti-Spoofing
    论文:https://arxiv.org/abs/2003.04092
    代码:https://github.com/ZitongYu/CDCN

    Rotate-and-Render: Unsupervised Photorealistic Face Rotation from Single-View Images
    论文:https://arxiv.org/abs/2003.08124
    代码:https://github.com/Hangz-nju-cuhk/Rotate-and-Render

    AvatarMe: Realistically Renderable 3D Facial Reconstruction “in-the-wild”
    论文:https://arxiv.org/abs/2003.13845
    代码:https://github.com/lattas/AvatarMe

    FaceScape: a Large-scale High Quality 3D Face Dataset and Detailed Riggable 3D Face Prediction
    论文:https://arxiv.org/abs/2003.13989
    代码:https://github.com/zhuhao-nju/facescape

    目标检测/分割/跟踪
    Few-Shot Object Detection with Attention-RPN and Multi-Relation Detector
    论文:https://arxiv.org/abs/1908.01998

    Bridging the Gap Between Anchor-based and Anchor-free Detection via Adaptive Training Sample Selection
    论文:https://arxiv.org/abs/1912.02424
    代码:https://github.com/sfzhang15/ATSS

    Semi-Supervised Semantic Image Segmentation with Self-correcting Networks
    论文:https://arxiv.org/abs/1811.07073

    Deep Snake for Real-Time Instance Segmentation
    论文:https://arxiv.org/abs/2001.01629

    SketchGCN: Semantic Sketch Segmentation with Graph Convolutional Networks
    论文:https://arxiv.org/abs/2003.00678

    xMUDA: Cross-Modal Unsupervised Domain Adaptation for 3D Semantic Segmentation
    论文:https://arxiv.org/abs/1911.12676

    CenterMask : Real-Time Anchor-Free Instance Segmentation
    论文:https://arxiv.org/abs/1911.06667
    代码:https://github.com/youngwanLEE/CenterMask

    PolarMask: Single Shot Instance Segmentation with Polar Representation
    论文:https://arxiv.org/abs/1909.13226
    代码:https://github.com/xieenze/PolarMask

    BlendMask: Top-Down Meets Bottom-Up for Instance Segmentation
    论文:https://arxiv.org/abs/2001.00309

    ROAM: Recurrently Optimizing Tracking Model
    论文:https://arxiv.org/abs/1907.12006

    图像处理
    Deep Image Harmonization via Domain Verification
    论文:https://arxiv.org/abs/1911.13239
    代码:https://github.com/bcmi/Image_Harmonization_Datasets

    Learning to Shade Hand-drawn Sketches
    论文:https://arxiv.org/abs/2002.11812

    Generalized ODIN: Detecting Out-of-distribution Image without Learning from Out-of-distribution Data
    论文:https://arxiv.org/abs/2002.11297

    Single Image Reflection Removal through Cascaded Refinement
    论文:https://arxiv.org/abs/1911.06634

    RoutedFusion: Learning Real-time Depth Map Fusion
    论文:https://arxiv.org/pdf/2001.04388.pdf

    图像分类
    Towards Robust Image Classification Using Sequential Attention Models
    论文:https://arxiv.org/abs/1912.02184

    Spatially Attentive Output Layer for Image Classification
    https://arxiv.org/abs/2004.07570

    Self-training with Noisy Student improves ImageNet classification
    论文:https://arxiv.org/abs/1911.04252

    Image Matching across Wide Baselines: From Paper to Practice
    论文:https://arxiv.org/abs/2003.01587

    Improved Few-Shot Visual Classification
    论文:https://arxiv.org/pdf/1912.03432.pdf

    A General and Adaptive Robust Loss Function
    论文:https://arxiv.org/abs/1701.03077

    Making Better Mistakes: Leveraging Class Hierarchies with Deep Networks
    论文:https://arxiv.org/abs/1912.09393

    视频内容分析
    Hierarchical Conditional Relation Networks for Video Question Answering
    论文:https://arxiv.org/abs/2002.10698

    Rethinking Zero-shot Video Classification: End-to-end Training for Realistic Applications
    论文:https://arxiv.org/abs/2003.01455
    代码:https://github.com/bbrattoli/ZeroShotVideoClassification

    Action Modifiers:Learning from Adverbs in Instructional Video
    论文:https://arxiv.org/abs/1912.06617

    Fine-grained Video-Text Retrieval with Hierarchical Graph Reasoning
    论文:https://arxiv.org/abs/2003.00392

    Blurry Video Frame Interpolation
    论文:https://arxiv.org/abs/2002.12259

    Object Relational Graph with Teacher-Recommended Learning for Video Captioning
    论文:https://arxiv.org/abs/2002.11566

    Say As You Wish: Fine-grained Control of Image Caption Generation with Abstract Scene Graphs
    论文:https://arxiv.org/abs/2003.00387

    Learning Representations by Predicting Bags of Visual Words
    论文:https://arxiv.org/abs/2002.12247

    Zooming Slow-Mo: Fast and Accurate One-Stage Space-Time Video Super-Resolution
    论文:https://arxiv.org/abs/2002.11616

    3DV: 3D Dynamic Voxel for Action Recognition in Depth Video
    论文:https://arxiv.org/abs/2005.05501
    代码:https://github.com/3huo/3DV-Action

    FineGym: A Hierarchical Video Dataset for Fine-grained Action Understanding
    主页:https://sdolivia.github.io/FineGym/
    论文:https://arxiv.org/abs/2004.06704

    人体关键点检测/姿态估计
    Correlating Edge, Pose with Parsing
    论文:https://arxiv.org/abs/2005.01431
    代码:https://github.com/ziwei-zh/CorrPM

    Distribution-Aware Coordinate Representation for Human Pose Estimation
    论文:https://arxiv.org/abs/1910.06278
    代码:https://github.com/ilovepose/DarkPose

    VIBE: Video Inference for Human Body Pose and Shape Estimation
    论文:https://arxiv.org/abs/1912.05656
    代码:https://github.com/mkocabas/VIBE

    Self-Supervised 3D Human Pose Estimation via Part Guided Novel Image Synthesis
    论文:https://arxiv.org/abs/2004.04400

    The Devil is in the Details: Delving into Unbiased Data Processing for Human Pose Estimation
    论文:https://arxiv.org/abs/1911.07524

    Optimal least-squares solution to the hand-eye calibration problem
    论文:https://arxiv.org/abs/2002.10838

    Bodies at Rest: 3D Human Pose and Shape Estimation from a Pressure Image using Synthetic Data
    论文:https://arxiv.org/abs/2004.01166
    代码:https://github.com/Healthcare-Robotics/bodies-at-rest

    Distribution Aware Coordinate Representation for Human Pose Estimation
    论文:https://arxiv.org/abs/1910.06278

    Back to the Future: Joint Aware Temporal Deep Learning 3D Human Pose Estimation
    论文:https://arxiv.org/abs/2002.11251
    代码:https://github.com/vnmr/JointVideoPose3D

    Cross-View Tracking for Multi-Human 3D Pose Estimation at over 100 FPS
    论文:https://arxiv.org/abs/2003.03972

    Multi-Modal Domain Adaptation for Fine-Grained Action Recognition
    论文:https://arxiv.org/abs/2001.09691

    PVN3D: A Deep Point-wise 3D Keypoints Voting Network for 6DoF Pose Estimation
    论文:https://arxiv.org/abs/1911.04231

    4D Association Graph for Realtime Multi-person Motion Capture Using Multiple Video Cameras
    论文:https://arxiv.org/abs/2002.12625

    模型轻量化和加速
    GPU-Accelerated Mobile Multi-view Style Transfer
    论文:https://arxiv.org/abs/2003.00706

    DMCP: Differentiable Markov Channel Pruning for Neural Networks
    论文:https://arxiv.org/abs/2005.03354
    代码:https://github.com/zx55/dmcp

    Forward and Backward Information Retention for Accurate Binary Neural Networks
    论文:https://arxiv.org/abs/1909.10788
    代码:https://github.com/htqin/IR-Net

    Towards Efficient Model Compression via Learned Global Ranking
    论文:https://arxiv.org/abs/1904.12368
    代码:https://github.com/cmu-enyac/LeGR

    HRank: Filter Pruning using High-Rank Feature Map
    论文:http://arxiv.org/abs/2002.10179
    代码:https://github.com/lmbxmu/HRank

    GAN Compression: Efficient Architectures for Interactive Conditional GANs
    论文:https://arxiv.org/abs/2003.08936
    代码:https://github.com/mit-han-lab/gan-compression

    Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression
    论文:https://arxiv.org/abs/2003.08935
    代码:https://github.com/ofsoundof/group_sparsity

    神经网络架构设计和搜索NAS
    GhostNet: More Features from Cheap Operations
    论文:https://arxiv.org/abs/1911.11907
    代码:https://github.com/iamhankai/ghostnet

    CARS: Contunuous Evolution for Efficient Neural Architecture Search
    论文:https://arxiv.org/pdf/1909.04977.pdf
    代码:https://github.com/huawei-noah/CARS

    Visual Commonsense R-CNN
    论文:https://arxiv.org/abs/2002.12204

    Watch your Up-Convolution: CNN Based Generative Deep Neural Networks are Failing to Reproduce Spectral
    论文:https://arxiv.org/abs/2003.01826

    AdderNet: Do We Really Need Multiplications in Deep Learning?
    论文:https://arxiv.org/pdf/1912.13200

    Filter Grafting for Deep Neural Networks
    论文:https://arxiv.org/pdf/2001.05868.pdf

    生成对抗GAN
    Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models
    论文:https://arxiv.org/abs/1911.12287
    代码:https://github.com/giannisdaras/ylg

    MSG-GAN: Multi-Scale Gradient GAN for Stable Image Synthesis
    论文:https://arxiv.org/abs/1903.06048

    Robust Design of Deep Neural Networks against Adversarial Attacks based on Lyapunov Theory
    论文:https://arxiv.org/abs/1911.04636

    Towards Large yet Imperceptible Adversarial Image Perturbations with Perceptual Color Distance
    论文:https://arxiv.org/abs/1911.02466
    代码:https://github.com/ZhengyuZhao/PerC-Adversarial

    点云/3D重建/SLAM
    D3Feat: Joint Learning of Dense Detection and Description of 3D Local Features
    论文:https://arxiv.org/abs/2003.03164
    代码:https://github.com/XuyangBai/D3Feat

    RPM-Net: Robust Point Matching using Learned Features
    论文:https://arxiv.org/abs/2003.13479
    代码:https://github.com/yewzijian/RPMNet

    D3VO: Deep Depth, Deep Pose and Deep Uncertainty for Monocular Visual Odometry
    论文:https://arxiv.org/abs/2003.01060

    Cascaded Refinement Network for Point Cloud Completion
    论文:https://arxiv.org/abs/2004.03327
    代码:https://github.com/xiaogangw/cascaded-point-completion

    PointAugment: an Auto-Augmentation Framework for Point Cloud Classification
    论文:https://arxiv.org/abs/2002.10876
    代码:https://github.com/liruihui/PointAugment/

    PF-Net: Point Fractal Network for 3D Point Cloud Completion
    论文:https://arxiv.org/abs/2003.00410

    Learning multiview 3D point cloud registration
    论文:https://arxiv.org/abs/2001.05119

    Total3DUnderstanding: Joint Layout, Object Pose and Mesh Reconstruction for Indoor Scenes from a Single Image
    论文:https://arxiv.org/abs/2002.12212

    In Perfect Shape: Certifiably Optimal 3D Shape Reconstruction from 2D Landmarks
    论文:https://arxiv.org/pdf/1911.11924.pdf

    RandLA-Net: Efficient Semantic Segmentation of Large-Scale Point Clouds
    论文:https://arxiv.org/abs/1911.11236

    C-Flow: Conditional Generative Flow Models for Images and 3D Point Clouds
    论文:https://arxiv.org/abs/1912.07009

    Representations, Metrics and Statistics For Shape Analysis of Elastic Graphs
    论文:https://arxiv.org/abs/2003.00287

    Implicit Functions in Feature Space for 3D Shape Reconstruction and Completion
    论文:https://arxiv.org/abs/2003.01456

    文本识别OCR
    ABCNet: Real-time Scene Text Spotting with Adaptive Bezier-Curve Network
    论文:https://arxiv.org/abs/2002.10200
    代码:https://github.com/Yuliang-Liu/bezier_curve_text_spotting,https://github.com/aim-uofa/adet

    Deep Relational Reasoning Graph Network for Arbitrary Shape Text Detection
    论文:https://arxiv.org/abs/2003.07493
    代码:https://github.com/GXYM/DRRG

    UnrealText: Synthesizing Realistic Scene Text Images from the Unreal World
    论文:https://arxiv.org/abs/2003.10608
    代码:https://github.com/Jyouhou/UnrealText/

    Learn to Augment: Joint Data Augmentation and Network Optimization for Text Recognition
    论文:https://arxiv.org/abs/2003.06606
    代码:https://github.com/Canjie-Luo/Text-Image-Augmentation

    弱监督 & 无监督学习
    Unsupervised Reinforcement Learning of Transferable Meta-Skills for Embodied Navigation
    论文:https://arxiv.org/abs/1911.07450

    Disentangling Physical Dynamics from Unknown Factors for Unsupervised Video Prediction
    论文:https://arxiv.org/abs/2003.01460

    Rethinking the Route Towards Weakly Supervised Object Localization
    论文:https://arxiv.org/abs/2002.11359

    NestedVAE: Isolating Common Factors via Weak Supervision
    论文:https://arxiv.org/abs/2002.11576

    迁移学习
    Meta-Transfer Learning for Zero-Shot Super-Resolution
    论文:https://arxiv.org/abs/2002.12213

    Transferring Dense Pose to Proximal Animal Classes
    论文:https://arxiv.org/abs/2003.00080

    图神经网络GNN
    Social-STGCNN: A Social Spatio-Temporal Graph Convolutional Neural Network for Human Trajectory Prediction
    论文:https://arxiv.org/abs/2002.11927

    Bundle Adjustment on a Graph Processor

    展开全文
  • 硕士论文分类号(中图法分类号)

    万次阅读 2015-01-19 21:12:16
    论文分类号(中图法分类号查询)网址:http://www.ztflh.com/ 例如《基于SCA软件无线电研究和开发》的分类号是TN924。
  • acm国家集训队论文分类整理

    千次阅读 热门讨论 2017-03-14 12:21:45
    国家集训队论文分类整理 距离ACM/ICPC的时间越来越少了,选择性地看一些集训队论文是很有必要的。 (在此给已经看过所有论文的神牛跪了= =) 所以,我在此整理了一下,供大家参考。 组合数学 计数与统计 ...
  • 国家集训队论文分类整理

    万次阅读 多人点赞 2013-06-12 14:24:52
    国家集训队论文分类整理 距离ACM/ICPC的时间越来越少了,选择性地看一些集训队论文是很有必要的。 (在此给已经看过所有论文的神牛跪了= =) 所以,我在此整理了一下,供大家参考。 组合数学 ...
  • 基于相关滤波的目标跟踪论文分类

    千次阅读 2018-01-31 21:06:27
    基于相关滤波的目标跟踪论文分类 多维度特征 Adaptive Color Attributes for Real-Time Visual Tracking(CVPR2014) Multi-Channel Correlation Filters(ICCV2013) 尺度估计 核技巧 减少样本边界影响
  • 图神经网络学习01:图卷积神经网络GCN实战解决论文分类问题(tensorflow实现) 文章目录图神经网络学习01:图卷积神经网络GCN实战解决论文分类问题(tensorflow实现)前言1.数据集的介绍2.网络的搭建3.数据的处理1.将...
  • 作为计算机视觉领域三大顶会之一,...此前我们也对CVPR2019的论文做了分类汇总:CVPR2019 | 论文分类汇总,而本帖是对ICCV2019顶会论文的实时跟进和分类,欢迎点击文末关注按钮,即可获取本帖最新更新消息。 IC...
  • ICCV2017论文分类

    千次阅读 2017-11-09 21:32:50
    Person ReID Neural Person Search Machines Cross-View Asymmetric Metric Learning for Unsupervised Person Re-Identification SHaPE: A Novel Graph Theoretic Algorithm for Making Consensus-Based Decisions ...
  • CVPR 2021 已经放榜,收录论文陆续公布。为方便大家跟进论文,了解最新技术,CV君在Github建了一个仓库,对已经出来的论文(目前是80多篇)进行了按类别汇总。对于有公布代码的论文...
  • 本文论文链接较多,前往原文查看可以直接跳转 作为计算机视觉领域三大顶会之一,CVPR2019(2019.6.16-6.19在美国洛杉矶举办)被CVers 重点关注。目前CVPR 2019 接收结果已经出来啦,相关报道:1300篇!CVPR2019接收...
  • 算法主要领域:图像与视频处理,图像分类&检测&分割、视觉目标跟踪、视频内容分析、人体姿态估计、模型加速、网络架构搜索(NAS)、生成对抗(GAN)、光学字符识别(OCR)、人脸识别、三维重建等方向...
  • 论文集合推荐:CNN:关于深度学习之CNN经典论文原文(1950~2018)简介、下载地址大全(非常有价值)之持续更新(吐血整理) 目录 一、CV方向 二、NLP方向 1、LSTM相关论文 一、CV方向 更新…… 二、...
  • 本周开始我将为大家持续分享最新的CVPR2021论文解读,本篇文章收录了目标检测和语义分割的最新论文合集,以最快的形式发送给需要阅读的迈微社友,每篇文章会给出论文链接以及作者开源的代码。
  • 论文分类号(计算机专业)

    千次阅读 2014-12-04 20:48:04
    A——理论与应用研究学术论文(包括综述报告) B——实用性技术成果报告(科技)、理论学习与社会实践总结(社科) C——业务指导与技术管理性文章(包括领导讲话、特约评论等) D——一般动态性信息(通讯、报道、会议...
  • 切记:要想学好机器学习,一定要看原汁原味的论文!!!! 目录 1967《Nearest Neighbor Pattern Classification 》 2005《Histograms of Oriented Gradients for Human Detection》 2013...
  • 数学建模获奖论文分类整理:模拟退火 https://download.csdn.net/download/qq_42167992/12440899, 数学建模国赛获奖论文分类整理:神经网络 https://download.csdn.net/download/qq_42167992/12443326, 数学建模...
  • 文本分类论文

    2019-03-18 12:29:42
    文本分类论文 后面有时间会更新比较完整的整理版,感兴趣的可以关注。
  • SLAM 论文阅读和分类整理

    万次阅读 多人点赞 2018-09-26 16:35:58
    当需要回溯的时候,每篇论文能给出个大概,不具体,找起来也麻烦,以后就在这个 List 里分类整理已经读过的论文。之前读的,以及后续的一些新的有意义的论文都会慢慢补充进来。 VIO 初始化和外参数标定 该部分主要...
  • 图像分类论文汇总

    千次阅读 2019-12-02 10:36:02
    分类论文主要脉络: AlexNet:http://papers.nips.cc/paper/4824-imagenet-classification-with-deep-convolutional-neural-networks VGG:https://arxiv.org/abs/1409.1556 何恺明resnet系列: ResNet-v1:...
  • 视频分类论文

    千次阅读 2018-02-19 11:21:17
    Video Classification image-based methods Zha S, Luisier F, Andrews W, et al. Exploiting Image-trained CNN Architectures for Unconstrained Video Classification[J]. Computer Science, ... Sánchez ...
  • 文本分类相关论文

    千次阅读 2019-01-19 12:47:39
    2018年开始关注文本分类的一些论文,在这里做个小小的总结,记录一下。 1.论文题目:Joint Embedding of Words and Labels for Text Classification 机构:Duke University 论文发表:ACL2018 Github:...
  • 论文整理】图分类论文集合!

    万次阅读 2019-12-11 04:26:49
    Graph Classification Papers Relevant graph classification benchmark datasets are available [here]. Similar collections about community detection, classification/regression tree, fraud detection, Monte...
  • 论文引文分类代号

    千次阅读 2016-10-14 20:17:48
    参考文献(即引文出处)的类型以单字母方式标识,具体如下:  M——专著 C——论文集 N——报纸文章  J——期刊文章 D——学位论文 R——报告
  • 科技论文分类及写作

    千次阅读 2013-11-15 01:24:09
    科技论文可从不同的角度,根据不同标准进行分类。 按学科的性质和功能不同,可分为基础学科论文、技术学科论文和应用学科论文3大类; 按论文内容所属学科、专业的不同,可分为数学论文、物理论文、化学 论文、天文学...

空空如也

空空如也

1 2 3 4 5 ... 20
收藏数 161,379
精华内容 64,551
关键字:

论文分类