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前段时间,计算机视觉顶会CVPR 2019 公布了接收结果,极市也对此做了相关报道:1300篇!CVPR2019接收结果公布,你中了吗?。目前官方已公布了接收论文列表,极市已汇总目前公开的所有论文链接及code(目前已更新653篇),今日更新论文如下:
CVPR2019 全部论文汇总:
https://github.com/extreme-assistant/cvpr2019
CVPR2019 论文解读
http://bbs.cvmart.net/topics/287/cvpr2019
1.Disentangling Adversarial Robustness and Generalization
作者:David Stutz, Matthias Hein, Bernt Schiele
论文链接:https://arxiv.org/abs/1812.00740
2.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/
3.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
4.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
5.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
6.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
7.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
8.3D 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
9.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
10.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
11.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/
12.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/
13.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
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