CVPR2019| 04-08更新19篇论文及代码（1篇oral、目标检测、行人检测、视频超分辨等）

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？。目前官方只公布了接收论文ID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343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.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

2.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

3.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

4.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

5.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

6.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

7.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

8.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

9.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

10.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

11.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

12.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

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

14.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

15.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

16.What Object Should I Use? - Task Driven Object Detection(目标检测) 
作者：Johann Sawatzky, Yaser Souri, Christian Grund, Juergen Gall
论文链接：https://arxiv.org/abs/1904.03000

17.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

18.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

19.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