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  • cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017(Papers/Codes/Project/Paper reading) 论文解读汇总: 论文分类汇总: 2000~2020年历届CVPR最佳论文代码,解读等汇总: 目录 7.CVPR2021最新论文分类汇总(持续更新...
  • 简介:来自CVPR 2019论文的“侧面窗口过滤”。 MATLAB实现与一些应用程序。 实现了过滤器(均值,中值,高斯)和应用程序(平滑,降噪,着色)。 作者: 纸: 引用代码: 环境 在MATLAB中运行。 在MATLAB 2019b测试...
  • 代码CVPR 2019纸“ ”,张学斌琴,陈子辰张,晨阳黄,抄告,马苏德Dehghan和马丁Jagersand 。 联系人:xuebin [at] ualberta [dot] ca (2020年5月9日)新闻! 模式识别刚刚接受的我们新的显着目标检测模型(U ^ ...
  • 面向真实照片的卷积盲去噪 纸版 ISP /反向ISP运算符的Python实现和一些资料 (与Matlab代码不完全相同) 1.摘要 尽管深卷积神经网络(CNN)在高斯降噪方面取得了成功,但在实际嘈杂的照片上仍然非常有限,甚至可能比...
  • CVPR2019合集.txt

    2019-07-31 20:41:57
    目前CVPR 2019 接收结果已经出来啦,本人收集的1300篇CVPR论文合集,CVPR是IEEE Conference on Computer Vision and Pattern Recognition的缩写,即IEEE国际计算机视觉与模式识别会议。
  • CVPR2019论文

    2020-03-04 15:54:05
    检测 28分割 36分类、识别 15跟踪 19人脸 8人体姿态估计、位姿估计 18行为/动作识别、手势识别 10时序动作检测、视频相关 18Related to Networks 34GAN、图像文本生成 21图像/视频处理、超分辨 18点云、三维重建 25...
  • Brown,CVPR 2019。如果您使用此代码或我们的数据集,请引用我们的论文。 快速开始: 1. 运行 install_.m 2. 运行 demo.m 处理单个图像或运行 demo_images.m 处理目录中的所有图像。 3. 检查evaluation_examples.m...
  • 转到https://<your>.github.io/cvpr2019/以检查示例的初始版本。 转到您的分叉https://github.com/<your>/cvpr2019您的用户名> / cvpr2019。 在编辑模式下打开index.html文件: 读取cap.read(frame);后, cap....
  • cvpr2019.zip

    2020-03-09 12:00:53
    cvpr2019论文集部分,CVPR是IEEE Conference on Computer Vision and Pattern Recognition的缩写,即IEEE国际计算机视觉与模式识别会议。该会议是由IEEE举办的计算机视觉和模式识别领域的顶级会议。
  • CVPR2019,best paper合集;CVPR2019,best paper合集;CVPR2019,best paper合集
  • CVPR2019 reid.rar

    2020-05-05 17:36:35
    2019CVPR行人重识别所有论文的汇总
  • CVPR2019】C-MIL: Continuation Multiple Instance Learning for Weakly Supervised Object DetectionMIL回顾介绍凸性分析Continuation MIL MIL回顾 介绍 MIL将图片视为“包”,Bi∈BB_i\in BBi​∈B为第iii个包...
  • CVPR 2019 | CVPR2019 论文接收列表

    千次阅读 2019-05-22 16:55:09
    源码链接:https://github.com/cherubicXN/afm_cvpr2019  【60】DFANet:Deep Feature Aggregation for Real-Time Semantic Segmentation(旷视) 作者:Hanchao Li, Pengfei Xiong,Haoqiang Fan,Jian Sun ...

    原文地址:https://blog.csdn.net/Sophia_11/article/details/88672635

    1】Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos(Romero Morais; Vuong Le; Truyen Tran; Budhaditya Saha; Moussa Mansour; Svetha Venkatesh )

    论文地址:https://arxiv.org/abs/1903.03295

    【2】Learning from Synthetic Data for Crowd Counting in the Wild(Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan)

    论文地址:https://arxiv.org/abs/1903.03303

    【3】Knowledge-Embedded Routing Network for Scene Graph Generation(Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin)

    论文地址:https://arxiv.org/abs/1903.03326

    【4】Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval(Anjan Dutta, Zeynep Akata)

    论文地址:https://arxiv.org/abs/1903.03372

    【5】Structured Knowledge Distillation for Semantic Segmentation

    https://arxiv.org/pdf/1903.04197.pdf

    【5】Strong-Weak Distribution Alignment for Adaptive Object Detection(Kuniaki Saito1、Yoshitaka Ushiku2、Tatsuya Harada2,3、Kate Saenko1,波士顿大、学东京大学)

    论文地址:https://arxiv.org/pdf/1812.04798.pdf

    【7】PartNet: A Recursive Part Decomposition Network for Fine-grained and Hierarchical Shape Segmentation(Fenggen Yu、Kun Liu1、Yan Zhang1、Chenyang Zhu、Kai Xu,南京大学、国防科技大学)

    论文地址:https://arxiv.org/pdf/1903.00709.pdf

    【9】Understanding and Visualizing Deep Visual Saliency Models(Sen He、Hamed R. Tavakoli、Ali Borji、Yang Mi、Nicolas Pugeault,埃克塞特大学、阿尔托大学)

    论文地址:https://arxiv.org/pdf/1903.02501.pdf

    【9】Depth Coefficients for Depth Completion(Saif Imran、Yunfei Long、Xiaoming Liu、Daniel Morris,密歇根州立大学)

    论文地址:https://arxiv.org/pdf/1903.05421.pdf

    【10】RVOS: End-to-End Recurrent Network for Video Object Segmentation

    论文地址:https://arxiv.org/pdf/1903.05612.pdf

    【11】Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis(北京大学、加利福尼亚大学)

    论文地址:https://arxiv.org/pdf/1903.05628.pdf

    【12】MirrorGAN: Learning Text-to-image Generation by Redescription

    论文地址:https://arxiv.org/pdf/1903.05854.pdf

    【13】Deep Transfer Learning for Multiple Class Novelty Detection

    论文地址:https://arxiv.org/abs/1903.02196

    【14】AET vs. AED: Unsupervised Representation Learning by Auto-Encoding Transformations rather than Data

    https://arxiv.org/pdf/1901.04596.pdf

    【15】ADCrowdNet: An Attention-injective Deformable Convolutional Network for Crowd Understanding

    https://arxiv.org/pdf/1811.11968.pdf

    【16】Fast Online Object Tracking and Segmentation: A Unifying Approach

    开源:https://github.com/foolwood/SiamMask

    【17】Dual Encoding for Zero-Example Video Retrieval

    论文地址:https://arxiv.org/abs/1809.06181

     开源地址:https://github.com/danieljf24/dual_encoding

    【18】Supervised Fitting of Geometric Primitives to 3D Point Clouds

    https://arxiv.org/abs/1811.08988

    【19】Learning 3D Human Dynamics from Video

    https://arxiv.org/abs/1812.01601

    【20】Explainable and Explicit Visual Reasoning over Scene Graphs

    https://arxiv.org/abs/1812.01855

    【21】Learning Parallax Attention for Stereo Image Super-Resolution

    https://arxiv.org/abs/1903.05784

    【22】AdaGraph: Unifying Predictive and Continuous Domain Adaptation through Graphs

    https://arxiv.org/abs/1903.07062

    【23】QATM: Quality-Aware Template Matching For Deep Learning

    https://arxiv.org/abs/1903.07254

    【24】Graph Convolutional Label Noise Cleaner: Train a Plug-and-play Action Classifier for Anomaly Detection

    https://arxiv.org/abs/1903.07256

    【25】Self-calibrating Deep Photometric Stereo Networks(oral)

    https://arxiv.org/abs/1903.07366

    【26】Understanding the Limitations of CNN-based Absolute Camera Pose Regression

    https://arxiv.org/abs/1903.07504

    【27】Learning Correspondence from the Cycle-Consistency of Time

    https://arxiv.org/abs/1903.07593

    http://ajabri.github.io/timecycle

    【28】Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

    https://arxiv.org/abs/1812.07179

    【29】SimulCap : Single-View Human Performance Capture with Cloth Simulation

    https://arxiv.org/abs/1903.06323

    【30】Neural Sequential Phrase Grounding (SeqGROUND)

    https://arxiv.org/abs/1903.07669

    【31】Direct Object Recognition Without Line-of-Sight Using Optical Coherence

    https://arxiv.org/abs/1903.07705

    【32】SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations

    https://arxiv.org/abs/1903.06482

    【33】Probabilistic End-to-end Noise Correction for Learning with Noisy Labels

    https://arxiv.org/abs/1903.07788

    【34】Semantic Image Synthesis with Spatially-Adaptive Normalization(oral)

    https://arxiv.org/abs/1903.07291

    【35】Inverse Path Tracing for Joint Material and Lighting Estimation(oral)

    https://arxiv.org/abs/1903.07145

    【36】Mode Seeking Generative Adversarial Networks for Diverse Image Synthesis

    https://arxiv.org/abs/1903.05628

    https://github.com/HelenMao/MSGAN

    【37】Selective Kernel Networks

    https://arxiv.org/abs/1903.06586

    【38】A Cross-Season Correspondence Dataset for Robust Semantic Segmentation

    https://arxiv.org/abs/1903.06916

    【39】Unsupervised Part-Based Disentangling of Object Shape and Appearance

    https://arxiv.org/abs/1903.06946

    【40】Inserting Videos into Videos

    https://arxiv.org/abs/1903.06571

    【41】Disentangling Latent Space for VAE by Label Relevant/Irrelevant Dimensions

    https://arxiv.org/abs/1812.09502

    【42】Domain Generalization by Solving Jigsaw Puzzles

    https://arxiv.org/abs/1903.06864

    【43】Fast Interactive Object Annotation with Curve-GCN

    https://arxiv.org/abs/1903.06874

    【44】MFAS: Multimodal Fusion Architecture Search

    https://arxiv.org/abs/1903.06496

    【45】OCGAN: One-class Novelty Detection Using GANs with Constrained Latent Representations

    https://arxiv.org/abs/1903.08550

    【46】An Efficient Schmidt-EKF for 3D Visual-Inertial SLAM

    https://arxiv.org/abs/1903.08636

    【47】Photometric Mesh Optimization for Video-Aligned 3D Object Reconstruction

    https://arxiv.org/abs/1903.08642

    code: https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/

    【48】Towards Robust Curve Text Detection with Conditional Spatial Expansion

    https://arxiv.org/abs/1903.08836

    【49】Learning with Batch-wise Optimal Transport Loss for 3D Shape Recognition

    https://arxiv.org/abs/1903.08923

    【50】Weakly-Supervised Discovery of Geometry-Aware Representation for 3D Human Pose Estimation

    https://arxiv.org/pdf/1903.08839.pdf

    【51】Patch-based Progressive 3D Point Set Upsampling

    https://arxiv.org/abs/1811.11286

    【52】Learning Regularity in Skeleton Trajectories for Anomaly Detection in Videos(Romero Morais; Vuong Le; Truyen Tran; Budhaditya Saha; Moussa Mansour; Svetha Venkatesh )

    论文地址:https://arxiv.org/abs/1903.03295

    【53】Learning from Synthetic Data for Crowd Counting in the Wild(Qi Wang, Junyu Gao, Wei Lin, Yuan Yuan)

    论文地址:https://arxiv.org/abs/1903.03303

    【54】Knowledge-Embedded Routing Network for Scene Graph Generation(Tianshui Chen, Weihao Yu, Riquan Chen, Liang Lin)

    论文地址:https://arxiv.org/abs/1903.03326

    【55】Semantically Tied Paired Cycle Consistency for Zero-Shot Sketch-based Image Retrieval(Anjan Dutta, Zeynep Akata)

    论文地址:https://arxiv.org/abs/1903.03372

    【56】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 

    【57】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 

    【58】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 

    【59】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 

    【60】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

    【61】Live Reconstruction of Large-Scale Dynamic Outdoor Worlds 
    作者:Ondrej Miksik, Vibhav Vineet
    论文链接:https://arxiv.org/abs/1903.06708

    【62】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

    【63】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

    【64】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

    【65】NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection(目标检测) 
    作者:Golnaz Ghiasi, Tsung-Yi Lin, Ruoming Pang, Quoc V. Le
    论文链接:https://arxiv.org/abs/1904.07392

    【66】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 

    【67】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

    【68】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

    【69】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

    【70】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

    【71】LBVCNN: Local Binary Volume Convolutional Neural Network for Facial Expression Recognition from Image Sequences(人脸识别) 
    作者:Sudhakar Kumawat, Manisha Verma, Shanmuganathan Raman
    论文链接:https://arxiv.org/abs/1904.07647

    【72】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

    【73】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

    【74】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

    【75】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

    【76】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

    【77】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

    【78】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

    【79】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 

    【80】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 

    【81】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 

    【82】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 

    【83】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

    【84】Pedestrian Detection in Thermal Images using Saliency Maps(行人检测) 
    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

    【85】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

    【86】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

    【87】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 

    【88】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

    【89】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

    【90】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

    【91】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

    【92】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

    【93】Actor-Critic Instance Segmentation 
    作者:Kwang In Kim, Hyung Jin Chang
    论文链接:https://arxiv.org/abs/1904.05126

    【94】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

    【95】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

    【96】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

    【97】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

    【98】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

    【99】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

    【100】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

    【101】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

    【102】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

    【103】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

    【104】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

    【105】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

    【106】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

    【107】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

    【108】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

    【109】Unifying Heterogeneous Classifiers with Distillation 
    作者:Jayakorn Vongkulbhisal, Phongtharin Vinayavekhin, Marco Visentini-Scarzanella
    论文链接:https://arxiv.org/abs/1904.06062

    【110】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

    【111】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

    【112】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

    【113】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

    【114】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

    【115】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

    【116】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

    【117】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

    【118】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

    【119】Factor Graph Attention 
    作者:Idan Schwartz, Seunghak Yu, Tamir Hazan, Alexander Schwing
    论文链接:https://arxiv.org/abs/1904.05880

    【120】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

    【121】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

    【122】3D Appearance Super-Resolution with Deep Learning 
    作者:待补充
    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

    【123】High-level Semantic Feature Detection: A New Perspective for Pedestrian Detection(行人检测)
    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

    【124】Multi-Label Image Recognition with Graph Convolutional Networks(多标记图像识别) 
    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。 

    【125】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

    【126】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 

    【127】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 

    【128】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
     

    【129】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

    【130】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

    【131】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

    【132】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

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

    【134】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

    【135】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

    【136】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

    【137】End-to-end Projector Photometric Compensation
    作者:Bingyao Huang, Haibin Ling
    论文链接:https://arxiv.org/abs/1904.04335

    【138】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

    【139】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/ 
     

    【140】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

    【141】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 

    【142】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

    【143】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

    【144】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

    【145】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

    【146】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

    【147】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

    【148】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

    【149】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

    【150】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

    【151】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

    【152】Unsupervised 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

    【153】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

    【154】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

    【155】A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning

    https://arxiv.org/abs/1904.08720

    【156】Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition

    https://arxiv.org/abs/1904.08703

    【157】DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition

    https://arxiv.org/abs/1904.08634

    【158】Fooling automated surveillance cameras: adversarial patches to attack person detection

    https://arxiv.org/abs/1904.08653

    【159】Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization

    https://arxiv.org/abs/1904.08631

    【160】Progressive Attention Memory Network for Movie Story Question Answering

    https://arxiv.org/abs/1904.08607

    【161】Unsupervised Person Image Generation with Semantic Parsing Transformation

    https://arxiv.org/abs/1904.03379

    【162】Unsupervised Person Image Generation with Semantic Parsing Transformation
    论文链接:https://arxiv.org/abs/1904.03379
    项目链接:https://github.com/SijieSong/person_generation_spt 

    【163】Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?
    论文链接:https://arxiv.org/abs/1806.07550 

    【164】Self-Supervised GANs via Auxiliary Rotation Loss
    论文链接:https://arxiv.org/abs/1811.11212 

    【165】Multi-Agent Tensor Fusion for Contextual Trajectory Prediction
    论文链接:https://arxiv.org/abs/1904.04776 

    【166】L3-Net: Towards Learning based LiDAR Localization for Autonomous Driving
    论文链接:https://songshiyu01.github.io/pdf/L3Net_W.Lu_Y.Zhou_S.Song_CVPR2019.pdf 

    【167】Deep Convolutional Networks on 3D Point Clouds 
    论文链接:https://arxiv.org/pdf/1811.07246.pdf
    源码链接:https://github.com/DylanWusee/pointconv 

    【168】CapSal: Leveraging Captioning to Boost Semantics for Salient Object Detection
    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 

    【169】Segmentation-driven 6D Object Pose Estimation
    论文链接:https://arxiv.org/abs/1812.02541
    源码链接:https://github.com/cvlab-epfl/segmentation-driven-pose 

    【170】LBS Autoencoder: Self-supervised Fitting of Articulated Meshes to Point Clouds
    论文链接:https://arxiv.org/abs/1904.10037

    【171】Learning Actor Relation Graphs for Group Activity Recognition
    论文链接:https://arxiv.org/abs/1904.10117

    【172】Student Becoming the Master: Knowledge Amalgamation for Joint Scene Parsing, Depth Estimation, and More
    论文链接:https://arxiv.org/abs/1904.10167

    【173】Attention-guided Network for Ghost-free High Dynamic Range Imaging 
    论文链接:https://arxiv.org/abs/1904.10293

    【174】Data-Driven Neuron Allocation for Scale Aggregation Networks
    论文链接:https://arxiv.org/abs/1904.09460

    【175】A Simple Pooling-Based Design for Real-Time Salient Object Detection
    论文链接:https://arxiv.org/abs/1904.09569
    源码链接:http://mmcheng.net/poolnet/ 

    【176】TransGaGa: Geometry-Aware Unsupervised Image-to-Image Translation
    论文链接:https://arxiv.org/abs/1904.09571

    【177】Deep Metric Learning Beyond Binary Supervision(Oral)
    论文链接:https://arxiv.org/abs/1904.09626

    【178】Fast User-Guided Video Object Segmentation by Interaction-and-Propagation Networks
    论文链接:https://arxiv.org/abs/1904.09791

    【179】PCAN: 3D Attention Map Learning Using Contextual Information for Point Cloud Based Retrieval
    论文链接:https://arxiv.org/abs/1904.09793

    【180】Superquadrics Revisited: Learning 3D Shape Parsing beyond Cuboids
    论文链接:https://arxiv.org/abs/1904.09970
    源码链接:https://github.com/paschalidoud/superquadric_parsing 

    【181】ContactDB: Analyzing and Predicting Grasp Contact via Thermal Imaging(Oral)
    论文链接:https://contactdb.cc.gatech.edu/contactdb_paper.pdf
    源码链接:https://github.com/samarth-robo/contactdb_prediction 

    【182】Aggregation Cross-Entropy for Sequence Recognition
    论文链接:https://arxiv.org/abs/1904.08364

    【183】Variational Prototyping-Encoder: One-Shot Learning with Prototypical Images
    论文链接:https://arxiv.org/abs/1904.08482

    【184】Meta-learning Convolutional Neural Architectures for Multi-target Concrete Defect Classification with the COncrete DEfect BRidge IMage Dataset
    论文链接:https://arxiv.org/abs/1904.08486

    【185】Machine Vision Guided 3D Medical Image Compression for Efficient Transmission and Accurate Segmentation in the Clouds
    论文链接:https://arxiv.org/abs/1904.08487

    【186】Few-Shot Learning with Localization in Realistic Settings
    论文链接:https://arxiv.org/abs/1904.08502

    【187】Progressive Attention Memory Network for Movie Story Question Answering
    论文链接:https://arxiv.org/abs/1904.08607

    【188】Unsupervised Open Domain Recognition by Semantic Discrepancy Minimization
    论文链接:https://arxiv.org/abs/1904.08631

    【189】DDLSTM: Dual-Domain LSTM for Cross-Dataset Action Recognition
    论文链接:https://arxiv.org/abs/1904.08634

    【190】Out-of-Distribution Detection for Generalized Zero-Shot Action Recognition
    论文链接:https://arxiv.org/abs/1904.08703

    【191】A Theoretically Sound Upper Bound on the Triplet Loss for Improving the Efficiency of Deep Distance Metric Learning
    论文链接:https://arxiv.org/abs/1904.08720

    【192】Cascaded Partial Decoder for Fast and Accurate Salient Object Detection
    论文链接:https://arxiv.org/abs/1904.08739

    【193】4D Spatio-Temporal ConvNets: Minkowski Convolutional Neural Networks
    论文链接:https://arxiv.org/abs/1904.08755

    【194】Attentive Single-Tasking of Multiple Tasks
    论文链接:https://arxiv.org/abs/1904.08918

    【195】Towards VQA Models that can Read
    论文链接:https://arxiv.org/abs/1904.08920

    【196】Listen to the Image
    论文链接:https://arxiv.org/abs/1904.09115

    【197】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

    【198】Visualizing the decision-making process in deep neural decision forest 
    论文链接:https://arxiv.org/abs/1904.09201
    源码链接:https://github.com/Nicholasli1995/VisualizingNDF 

    【199】STEP: Spatio-Temporal Progressive Learning for Video Action Detection(Oral,视频动作识别) 
    论文链接:https://arxiv.org/abs/1904.09288

    【200】Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving

    论文链接:https://arxiv.org/abs/1812.07179

    【201】Transferrable Prototypical Networks for Unsupervised Domain Adaptation

    论文链接:https://arxiv.org/abs/1904.11227

    【202】Exploring Object Relation in Mean Teacher for Cross-Domain Detection

    论文链接:https://arxiv.org/abs/1904.11245

    【203】Pointing Novel Objects in Image Captioning

    论文链接:https://arxiv.org/abs/1904.11251
     

    展开全文
  • cvpr2021 / cvpr2020 / cvpr2019 / cvpr2018 / cvpr2017(论文/代码/项目/论文阅读) 论文解读摘要: ://bbs.cvmart.net/articles/3031论文分类汇总: : 2000〜2020年历届CVPR最佳论文,解释等汇总: ://bbs.cvmart...
  • 考虑到有所有论文下载需求,于是本文将CVPR2019都下载了  所有论文百度云链接 链接:https://pan.baidu.com/s/100OAXTIOTPoMjbi-dwOcxA 提取码:关注【计算机视觉联盟】回复: CVPR2019      ...

    目录

    距离开幕还有5天,今天早上,终于放出了所有的论文下载!

    http://openaccess.thecvf.com/menu.py

    这里是主会的所有论文:

    http://openaccess.thecvf.com/CVPR2019.py

    这里是Workshops的所有论文:

    http://openaccess.thecvf.com/CVPR2019_workshops/menu.py

    所有论文百度云链接


     距离开幕还有5天,今天早上,终于放出了所有的论文下载!

    http://openaccess.thecvf.com/menu.py

    这里是主会的所有论文:

    http://openaccess.thecvf.com/CVPR2019.py

    这里是Workshops的所有论文:

    http://openaccess.thecvf.com/CVPR2019_workshops/menu.py

     

    考虑到有所有论文下载需求,于是本文将CVPR2019都下载了 

    所有论文百度云链接

    链接:https://pan.baidu.com/s/100OAXTIOTPoMjbi-dwOcxA

    提取码:关注【计算机视觉联盟】回复:  CVPR2019

     

     

     

     

    展开全文
  • cvpr2019论文集

    2019-11-22 15:37:10
    IEEE Conference on Computer Vision and Pattern Recognition 2019所有论文有2个多G,所以传到网盘了,提供网盘链接和提取密码。
  • CVPR2019论文接收结果出来,1300篇,25.2%的接受率,你中了吗~

    原文:1300篇!CVPR2019接收结果公布,你中了吗?(附部分论文链接)
    如有兴趣可以**点击加入极市CV专业微信群**,获取更多高质量干货

    • CVPR 2019 论文汇总(按方向划分,更新中)

    http://bbs.cvmart.net/topics/302/cvpr2019paper

    • CVPR2019 论文解读汇总

    http://bbs.cvmart.net/topics/287/cvpr2019

    • CVPR2019全部论文下载帖

    http://bbs.cvmart.net/topics/439

    • CVPR2019论文下载及实时更新GitHub地址,欢迎关注:

    https://github.com/extreme-assistant/cvpr2019

    • CVPR2019 全部论文下载链接:

    http://openaccess.thecvf.com/CVPR2019.py

    在这里插入图片描述

    今天,计算机视觉三大顶会之一CVPR2019(将于2019.6.16-6.19在美国洛杉矶举办)接收结果已经公布,一共有1300篇论文被接收,接收率为25.2%,目前组委会公布了接收的全部论文ID, 小编也看到了朋友圈的晒被接收图,如朱政团队中的CVPR2019全景分割论文Attention-guided Unified Network for Panoptic Segmentation,还有复盘笔记(可以学习学习~)

    在这里插入图片描述
    朱政CVPR2019复盘备忘录

    虽然我们目前还只能看到官方公布的接收论文ID,具体的接收论文还不清楚,不过经过小编的努力,我们收集了一批论文(因为无官方通知,如有错误,欢迎指出),列表如下,大家可以先去阅读一番了。

    1、Attention-guided Unified Network for Panoptic Segmentation
    论文链接:https://arxiv.org/abs/1812.03904

    2、Deep High-Resolution Representation Learning for Human Pose Estimation
    论文链接:https://128.84.21.199/abs/1902.09212

    3、MUREL: Multimodal Relational Reasoning for Visual Question Answering
    论文链接:https://128.84.21.199/abs/1902.09487

    4、End-to-End Multi-Task Learning with Attention
    论文链接:https://arxiv.org/abs/1803.10704

    5、SpherePHD: Applying CNNs on a Spherical PolyHeDron Representation of 360 degree Images
    论文链接:https://arxiv.org/abs/1811.08196

    6、Event-based High Dynamic Range Image and Very High Frame Rate Video Generation using Conditional Generative Adversarial Networks
    论文链接:https://arxiv.org/abs/1811.08230

    7、FEELVOS: Fast End-to-End Embedding Learning for Video Object Segmentation
    论文链接:https://128.84.21.199/abs/1902.09513

    8、An Attention Enhanced Graph Convolutional LSTM Network for Skeleton-Based Action Recognition
    论文链接:https://128.84.21.199/abs/1902.09130

    9、Neural Task Graphs: Generalizing to Unseen Tasks from a Single Video Demonstration
    论文链接:https://arxiv.org/abs/1807.03480

    10、DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion
    论文链接:https://arxiv.org/abs/1901.04780

    11、A Neurobiological Evaluation Metric for Neural Network Model Search
    论文链接:https://arxiv.org/pdf/1805.10726.pdf

    12、The Perfect Match: 3D Point Cloud Matching with Smoothed Densities
    论文链接:https://arxiv.org/abs/1811.06879

    13、Improving the Performance of Unimodal Dynamic Hand-Gesture Recognition with Multimodal Training
    链接:https://arxiv.org/abs/1812.06145

    14、Variational Bayesian Dropout
    论文链接:https://arxiv.org/abs/1811.07533

    15、LiFF: Light Field Features in Scale and Depth
    论文链接:https://arxiv.org/abs/1901.03916

    16、Classification-Reconstruction Learning for Open-Set Recognition
    论文链接:https://arxiv.org/abs/1812.04246

    17、Weakly Supervised Deep Image Hashing through Tag Embeddings
    论文链接:https://arxiv.org/abs/1806.05804

    18、InverseRenderNet: Learning single image inverse rendering
    论文链接:https://arxiv.org/abs/1811.12328

    19、Reinforced Cross-Modal Matching and Self-Supervised Imitation Learning for Vision-Language Navigation
    论文链接:https://arxiv.org/abs/1811.10092

    20、GANFIT: Generative Adversarial Network Fitting for High Fidelity 3D Face Reconstruction
    论文链接:https://arxiv.org/abs/1902.05978


    更多论文已实时更新在GitHub地址: extreme-assistant/cvpr2019,欢迎大家关注并提交更多CVPR2019论文链接鸭~


    相关文章

    展开全文
  • 更新的存储库位于 CVPR 2019接受的论文 这些脚本的主要目标是构建一个页面,以易于人类解析的方式显示CVPR 2019接受的论文(请参阅: : )。... 对于CVPR,今年将是http://openaccess.thecvf.com/CVPR2019.
  • 邓健康-CVPR2019 ArcFace 构建高效的人脸识别系统
  • CVPR 2019 论文开源项目合集
  • CVPR 2019 论文汇总

    千次阅读 2019-07-15 19:19:17
    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...

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

    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

    展开全文
  • CVPR2019目标检测论文汇总

    万次阅读 2019-03-13 14:39:59
    整理一下CVPR2019目标检测的一些文章解读,目前比较忙,没时间细看 CVPR2019论文及code汇总 https://github.com/extreme-assistant/cvpr2019 1、《Bounding Box Regression with Uncertainty for Accurate Object...
  • CVPR2019检测论文汇总

    千次阅读 2019-04-23 21:08:13
    2019CVPR检测论文20篇: 行人重识别、行人检测6篇 人脸6篇 2019CVPR检测论文20篇: 检测 1、Stereo R-CNN based 3D Object Detection for Autonomous Driving 作者:Peiliang Li, Xiaozhi Chen, Shaojie Shen ...
  • CVPR2019】论文完整列表一

    万次阅读 多人点赞 2019-06-11 13:16:32
    CVPR2019 完整列表二 论文题目与链接 Finding Task-Relevant Features for Few-Shot Learning by Category Traversal Edge-Labeling Graph Neural Network for Few-Shot Learning G...
  • CVPR 2019 论文大盘点-目标跟踪篇

    千次阅读 2020-10-21 21:02:18
    中科院、中科院大学、鹏城实验室、中国科技大学 Graph Convolutional Tracking Junyu Gao, Tianzhu Zhang, Changsheng Xu http://nlpr-web.ia.ac.cn/mmc/homepage/jygao/gct_cvpr2019.html# 通过预测target和...
  • CVPR2019 workshop列表及网站链接汇总
  • 更新:我们建议的门控多反馈网络(GMFN)将出现在BMVC2019中。 “通过两个时间步长,每个时间步长包含7个RDB,与包括RDN的最新图像SR方法(其中包含16个RDB)相比,所提出的GMFN具有更好的重建性能。” 该存储库是...
  • CVPR2019医学影像分析文集

    千次阅读 2019-08-29 12:27:51
    CVPR毫无疑问是计算机视觉方面的顶级会议...本文总结了发表在CVPR2019的医学影像分析方面的文章。 申明一下,由于本人才疏学浅,总结的难免差错,请各位原谅。 ...

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