CVPR 2019 论文汇总（按方向划分，0514 更新中）-转载

╰+哭是因爲堅強的太久メ 2022-01-30 20:21 6009阅读 0赞

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？][1300_CVPR2019]**  
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，

*  **[cvpr2019 accepted papers title（官方分类）][cvpr2019 accepted papers title]**
 *  **[Github论文汇总链接][Github]**（欢迎star)
 *  **[论文PDF下载][PDF]**（更新中，提取码：osvy）
 *  **[论文解读汇总][Link 1]**

**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][Link 2] 31  
> [分割][Link 3] 39  
> [分类、识别][Link 4] 17  
> [跟踪][Link 5] 19  
> [人脸][Link 6] 9  
> [人体姿态估计/手势姿态估计、位姿估计][Link 7] 25  
> [行为/动作识别、手势识别][Link 8] 10  
> [时序动作检测、视频相关][Link 9] 19  
> [Related to Networks][] 35  
> [GAN、图像文本生成][GAN] 22  
> [图像/视频处理、超分辨][Link 10] 22  
> [点云、三维重建][Link 11] 25  
> [VQA、视觉语言导航][VQA] 10  
> [OCR、文本检测][OCR] 8  
> [自动驾驶、SLAM][SLAM] 12  
> [人群计数][Link 12] 3  
> [数据集][Link 13] 8  
> [行人重识别、行人检测][Link 14] 8  
> [其他][Link 15] 271

# 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][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][https_arxiv.org_abs_1902.09630]  
论文解读：[https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU\_lQF1pw][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][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][https_arxiv.org_abs_1902.10903]  
Github源码：[https://github.com/pkuCactus/BDCN][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][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][https_arxiv.org_abs_1901.03278]  
论文解读：[https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9\_c-SH4g][https_mp.weixin.qq.com_s_Sl958JkcJjy-HW9_c-SH4g]  
Github链接：[https://github.com/open-mmlab/mmdetection][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][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][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][https_arxiv.org_abs_1903.00621]  
论文解读：[CVPR2019 | FSAF：来自CMU的Single-Shot目标检测算法][CVPR2019 _ FSAF_CMU_Single-Shot]  
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][CVPR2019 _ _ CMU _ Anchor-free]

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][https_arxiv.org_abs_1812.02122]  
代码链接：[https://github.com/cherubicXN/afm\_cvpr2019][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][https_arxiv.org_abs_1807.01653]  
代码链接: [https://github.com/aimagelab/novelty-detection][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][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][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][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][https_arxiv.org_abs_1809.08545]  
代码链接：[https://github.com/yihui-he/KL-Loss][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][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][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][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][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][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][https_arxiv.org_abs_1904.04402]  
项目链接：[http://www.svcl.ucsd.edu/projects/universal-detection/][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][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][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][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][https_arxiv.org_abs_1904.09569]  
源码链接：[http://mmcheng.net/poolnet/][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][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][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][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][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][https_arxiv.org_abs_1810.08425v3]  
源码链接：[https://github.com/KimSoybean/ScratchDet][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][CVPR 2019 Oral _ _AI_ ScratchDet_SSD]  
  
  
30、Pyramid Feature Attention Network for Saliency detection  
作者：Ting Zhao, Xiangqian Wu  
论文链接：[https://arxiv.org/abs/1903.00179][https_arxiv.org_abs_1903.00179]  
源码链接：[https://github.com/CaitinZhao/cvpr2019\_Pyramid-Feature-Attention-Network-for-Saliency-detection][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][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][https_arxiv.org_abs_1905.03415]  
源码链接：[https://github.com/svip-lab/PPGNet][https_github.com_svip-lab_PPGNet]

# 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][https_arxiv.org_abs_1812.03904]  
论文解读：[https://mp.weixin.qq.com/s/1tohID6SM3weS476XU5okw][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][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][https_arxiv.org_abs_1902.09852]  
代码链接：[https://github.com/WXinlong/ASIS][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][https_niessnerlab.org_projects_hou20183dsis.html]  
YouTube视频：[https://youtu.be/IH9rNLD1-JE][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][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][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][https_arxiv.org_abs_1809.02983]  
Github源码：[https://github.com/junfu1115/DANet][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][https_arxiv.org_abs_1903.00241]  
Github链接：[https://github.com/zjhuang22/maskscoring\_rcnn][https_github.com_zjhuang22_maskscoring_rcnn]  
论文解读：[https://mp.weixin.qq.com/s/aP7O7AF6WoynWK\_FFHkOTw][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][https_arxiv.org_abs_1901.07518]  
论文解读：[https://mp.weixin.qq.com/s/xug0xKfc9RgJEUci1a\_xog][https_mp.weixin.qq.com_s_xug0xKfc9RgJEUci1a_xog]  
Github链接：[https://github.com/open-mmlab/mmdetection][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][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][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][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][https_arxiv.org_abs_1903.05612]  
项目链接：[https://imatge-upc.github.io/rvos/][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][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][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][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][https_arxiv.org_abs_1903.08469]  
代码链接：[https://github.com/orsic/swiftnet][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][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][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][https_arxiv.org_abs_1803.10683]  
项目链接：[http://www.liruilong.cn/Pose2Seg/index.html][http_www.liruilong.cn_Pose2Seg_index.html]  
代码链接：[https://github.com/liruilong940607/OCHumanApi][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][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][https_arxiv.org_abs_1904.00699]  
项目链接：[https://pqhieu.github.io/cvpr19.html][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][https_arxiv.org_abs_1904.02363]  
代码链接：[https://github.com/longyin880815/STCNN][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][https_arxiv.org_pdf_1902.09383.pdf]  
源码链接：[https://github.com/xamyzhao/brainstorm][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][http_cvlab.citi.sinica.edu.tw_images_paper_cvpr-hsu19.pdf]  
源码链接：[https://github.com/KuangJuiHsu/DeepCO3][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][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][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][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1904.10620]  
源码链接：[https://github.com/liyunsheng13/BDL][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][http_www.dabi.temple.edu_hbling_publication_UVOS-cvpr19.pdf]  
源码链接：[https://github.com/wenguanwang/AGS][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][https_arxiv.org_abs_1812.00518]  
源码链接：[https://github.com/twni2016/Elastic-Boundary-Projection][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][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][https_arxiv.org_abs_1905.01298]  
项目链接：[https://varunjampani.github.io/scops/][https_varunjampani.github.io_scops]

# 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][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][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][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][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][https_arxiv.org_abs_1812.01187]  
源码链接：[https://github.com/dmlc/gluon-cv][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][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][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][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][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][http_www.cs.cmu.edu_ILIM_projects_IM_MSPowder_files_ZPHN-CVPR19.pdf]  
代码链接：[https://github.com/tiancheng-zhi/ms-powder][https_github.com_tiancheng-zhi_ms-powder]  
项目链接：[http://www.cs.cmu.edu/~ILIM/projects/IM/MSPowder/][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][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][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][https_arxiv.org_abs_1904.03582]  
源码链接：[https://github.com/chenzhaomin123/ML\_GCN][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][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][https_arxiv.org_abs_1904.03579]  
源码链接：[https://github.com/wanggrun/Adaptively-Connected-Neural-Networks][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][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][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][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][https_arxiv.org_abs_1904.12254]  
源码链接：[https://ownstyledu.github.io/Translate-to-Recognize-Networks/][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][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][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][https_arxiv.org_abs_1812.05050]  
Github链接：[https://github.com/foolwood/SiamMask][https_github.com_foolwood_SiamMask]  
project链接：[http://www.robots.ox.ac.uk/~qwang/SiamMask/][http_www.robots.ox.ac.uk_qwang_SiamMask]  
论文解读：[CVPR2019 | SiamMask：视频跟踪最高精度][CVPR2019 _ SiamMask]  
  
  
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][https_arxiv.org_pdf_1901.01660.pdf]  
Code链接：[https://gitlab.com/MSRA\_NLPR/deeper\_wider\_siamese\_trackers][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][https_arxiv.org_pdf_1812.11703.pdf]  
Project链接：[http://bo-li.info/SiamRPN][http_bo-li.info_SiamRPN]\++/  
论文解读：[https://mp.weixin.qq.com/s/dB5u2No8eakLnrjto0kvyQ][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][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][https_arxiv.org_pdf_1809.07845.pdf]  
project链接：[https://cis.temple.edu/lasot/][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][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][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][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][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][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][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1811.07628]  
源码链接：[https://github.com/visionml/pytracking][https_github.com_visionml_pytracking]

# 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][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][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][https_arxiv.org_abs_1801.07698]  
Demo链接：[https://github.com/vita-epfl/openpifpafwebdemo][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][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][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][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][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][https_arxiv.org_abs_1904.04933]  
项目链接：[http://cvlab.cse.msu.edu/project-nonlinear-3dmm.html][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][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][https_arxiv.org_abs_1905.03820]

# 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][https_128.84.21.199_abs_1902.09212]  
代码链接：[https://github.com/leoxiaobin/deep-high-resolution-net.pytorch][https_github.com_leoxiaobin_deep-high-resolution-net.pytorch]  
论文解读：[https://mp.weixin.qq.com/s/ZRCzBTBmlEzQCVo1HLWtbQ][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][https_arxiv.org_abs_1901.04780]  
论文解读：[https://mp.weixin.qq.com/s/wrND2cocWlPPVXPqpq-Glg][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][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][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][https_arxiv.org_abs_1903.02330]  
Github链接：[https://github.com/mkocabas/EpipolarPose][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][https_arxiv.org_abs_1901.04111]  
项目链接：[https://zju-3dv.github.io/mvpose/][https_zju-3dv.github.io_mvpose]  
代码链接：[https://github.com/zju-3dv/mvpose][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][https_arxiv.org_pdf_1901.00063.pdf]  
代码链接: [https://github.com/zhenpeiyang/RelativePose][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][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][https_arxiv.org_abs_1812.03595]  
源码链接：[https://github.com/mks0601/PoseFix\_RELEASE][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][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][https_arxiv.org_abs_1903.06593]  
Demo链接：[https://github.com/vita-epfl/openpifpafwebdemo][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][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][https_arxiv.org_abs_1812.00324]  
代码链接：[https://github.com/Jeff-sjtu/CrowdPose][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][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][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][https_github.com_shamangary_FSA-Net_blob_master_0191.pdf]  
源码链接：[https://github.com/shamangary/FSA-Net][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][https_arxiv.org_abs_1812.02541]  
源码链接：[https://github.com/cvlab-epfl/segmentation-driven-pose][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][https_arxiv.org_abs_1904.03349]  
源码链接：[https://github.com/tengteng95/Pose-Transfer][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][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][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][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][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][http_www.vision.ee.ethz.ch_wanc_papers_cvpr2019.pdf]  
源码链接：[https://github.com/melonwan/sphereHand][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][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][https_arxiv.org_abs_1812.01002]

# 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][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][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][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][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1904.12970]

# 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][https_arxiv.org_abs_1902.10322]  
来源：[https://mp.weixin.qq.com/s/61C-k3Ijy\_7ry5B5lRML6Q][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][https_arxiv.org_abs_1902.10424]  
来源：[https://mp.weixin.qq.com/s/61C-k3Ijy\_7ry5B5lRML6Q][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][https_arxiv.org_pdf_1901.02571.pdf]  
project链接：[https://research.nvidia.com/publication/2019-06\_Neural-RGBD][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][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][https_arxiv.org_abs_1810.01455]  
项目链接：[https://piergiaj.github.io/rep-flow-site/][https_piergiaj.github.io_rep-flow-site]  
代码链接：[https://github.com/piergiaj/representation-flow-cvpr19][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][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][https_arxiv.org_abs_1903.04480]  
源码链接：[https://github.com/junting/seg2vid/tree/master][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][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][https_alterzero.github.io_projects_rbpn_cvpr2019.pdf]  
代码链接：[https://github.com/alterzero/RBPN-PyTorch][https_github.com_alterzero_RBPN-PyTorch]  
项目链接：[https://alterzero.github.io/projects/RBPN.html][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][https_sites.google.com_view_wenbobao_dain]  
代码链接：[https://github.com/baowenbo/DAIN][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][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][https_arxiv.org_abs_1809.06181]  
代码链接：[https://github.com/danieljf24/dual\_encoding][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][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][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][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][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][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][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][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][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][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][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][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][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][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][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][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][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][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][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][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][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][https_arxiv.org_pdf_1812.11647.pdf]  
代码链接: [https://github.com/zaiweizhang/path\_invariance\_map\_network][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1903.06586]  
源码链接：[https://github.com/implus/SKNet][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][https_arxiv.org_abs_1903.07366]  
项目链接：[http://gychen.org/SDPS-Net/][http_gychen.org_SDPS-Net]  
代码链接：[https://github.com/guanyingc/SDPS-Net][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][https_arxiv.org_abs_1903.07366]  
项目链接：[http://gychen.org/SDPS-Net/][http_gychen.org_SDPS-Net]  
代码链接：[https://github.com/guanyingc/SDPS-Net][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][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][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][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][https_arxiv.org_abs_1811.08264]  
代码链接：[https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network][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][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][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][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][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][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][https_arxiv.org_abs_1811.00250]  
源码链接：[https://github.com/he-y/filter-pruning-geometric-median][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][https_dsmn.ml_publications_d2-net.html]  
源码链接：[https://github.com/mihaidusmanu/d2-net][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][https_arxiv.org_abs_1811.12495]

# 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][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][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][https_arxiv.org_abs_1902.05978]  
github链接：[https://github.com/barisgecer/ganfit][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][https_arxiv.org_abs_1811.11212]  
Github链接：[https://github.com/google/compare\_gan][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][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][https_arxiv.org_abs_1903.05628]  
代码链接：[https://github.com/HelenMao/MSGAN][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][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][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][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][https_arxiv.org_abs_1701.01081]  
代码链接：[https://github.com/junting/seg2vid][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][https_arxiv.org_abs_1812.02784]  
代码链接：[https://github.com/yitong91/StoryGAN][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][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][https_arxiv.org_abs_1809.01110]  
代码链接：[https://github.com/uvavision/Text2Image][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][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][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][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][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][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][https_arxiv.org_abs_1904.06807]  
源码链接：[https://github.com/Ha0Tang/SelectionGAN][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][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][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][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][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][http_cau.ac.kr_jskwon_paper_SphereGAN_CVPR2019.pdf]  
源码链接：[https://github.com/taki0112/SphereGAN-Tensorflow][https_github.com_taki0112_SphereGAN-Tensorflow]

# 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][https_arxiv.org_abs_1902.10556]  
代码链接：[https://github.com/YoYo000/MVSNet][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][https_arxiv.org_abs_1811.11127]  
project链接：[http://timothybrooks.com/tech/unprocessing/][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][https_arxiv.org_pdf_1903.00834.pdf]  
项目链接：[http://web.eecs.utk.edu/~zzhang61/project\_page/SRNTT/SRNTT.html][http_web.eecs.utk.edu_zzhang61_project_page_SRNTT_SRNTT.html]  
代码链接：[https://github.com/ZZUTK/SRNTT][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][https_arxiv.org_abs_1807.04686]  
代码链接：[https://github.com/GuoShi28/CBDNet][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][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][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][https_arxiv.org_abs_1903.05784]  
代码链接：[https://github.com/LongguangWang/PASSRnet][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][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][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][CVPR2019 _ _Meta-SR]

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][https_arxiv.org_abs_1903.12529]  
代码链接：[https://github.com/cszn/DPSR][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][https_arxiv.org_abs_1904.01538]  
项目链接：[https://stevewongv.github.io/derain-project.html][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][https_arxiv.org_abs_1812.00101]  
代码链接：[https://github.com/GuoLusjtu/DVC][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][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][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][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][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][http_staff.ustc.edu.cn_zwxiong_cameraSR.pdf]  
源码链接：[https://github.com/ngchc/CameraSR][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][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][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][https_arxiv.org_abs_1812.00733]  
源码链接：[https://github.com/sg-nm/Operation-wise-attention-network][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][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][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][https_arxiv.org_abs_1905.02949]

# 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][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][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][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][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][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][https_arxiv.org_abs_1902.09777]  
代码链接：[https://github.com/svip-lab/PlanarReconstruction][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/][http_gvv.mpi-inf.mpg.de_projects_FML19]  
论文链接：[http://gvv.mpi-inf.mpg.de/projects/FML19/paper.pdf][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][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][https_chenhsuanlin.bitbucket.io_photometric-mesh-optim_paper.pdf]  
代码链接：  
[https://github.com/chenhsuanlin/photometric-mesh-optim][https_github.com_chenhsuanlin_photometric-mesh-optim]  
项目链接：  
[https://chenhsuanlin.bitbucket.io/photometric-mesh-optim/][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][https_arxiv.org_abs_1811.10719]  
项目链接：[http://hiroharu-kato.com/projects\_en/view\_prior\_learning.html][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][https_arxiv.org_abs_1811.11286]  
代码链接：[https://github.com/yifita/3PU][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][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][CVPR 2019 _ _Oral_GeoNet]  
  
  
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][https_arxiv.org_abs_1904.00699]  
项目链接：[https://pqhieu.github.io/cvpr19.html][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][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][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][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][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][https_arxiv.org_abs_1812.04244]  
源码链接：[https://github.com/sshaoshuai/PointRCNN][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][https_arxiv.org_abs_1904.07601]  
项目链接：[https://yochengliu.github.io/Relation-Shape-CNN/][https_yochengliu.github.io_Relation-Shape-CNN]  
源码链接：[https://github.com/Yochengliu/Relation-Shape-CNN][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][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][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][https_arxiv.org_pdf_1811.07246.pdf]  
源码链接：[https://github.com/DylanWusee/pointconv][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][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][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][https_arxiv.org_abs_1904.12304]  
源码链接：[https://github.com/iSarmad/RL-GAN-Net][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][https_avg.is.tuebingen.mpg.de_uploads_file_attachment_attachment_490_top.pdf]  
源码链接：[https://github.com/autonomousvision/occupancy\_networks][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][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][https_arxiv.org_abs_1811.10092]  
论文解读：[https://mp.weixin.qq.com/s/LsHWkdwqqrOPFgCNNcBdpg][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][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][https_arxiv.org_abs_1903.02547]  
YouTube:[https://youtu.be/ik9uz06Fcpk][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][https_arxiv.org_abs_1812.01880]  
代码链接：  
[https://github.com/KaihuaTang/VCTree-Visual-Question-Answering][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][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][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][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][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][https_arxiv.org_abs_1904.08920]

# 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][https_arxiv.org_abs_1806.02559]  
代码链接：[https://github.com/whai362/PSENet][https_github.com_whai362_PSENet]  
网友复现：[https://github.com/liuheng92/tensorflow\_PSENet][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][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][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][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][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][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][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][https_arxiv.org_abs_1904.06535]

# 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][https_arxiv.org_abs_1812.07179]  
项目链接：[https://mileyan.github.io/pseudo\_lidar/][https_mileyan.github.io_pseudo_lidar]  
代码链接：[https://github.com/mileyan/pseudo\_lidar][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1904.02957]  
代码链接：[https://github.com/CVLAB-Unibo/Learning2AdaptForStereo][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][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][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][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][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][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][https_arxiv.org_abs_1904.11111]

# 数据集 #

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][https_arxiv.org_abs_1903.02874]  
项目链接：[https://coin-dataset.github.io/][https_coin-dataset.github.io]  
代码链接：[https://github.com/coin-dataset/code][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][https_arxiv.org_abs_1903.02741]  
项目链接：[https://wellyzhang.github.io/project/raven.html][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][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][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][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][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][https_arxiv.org_abs_1812.10366]  
源码链接：[https://github.com/bmmi/denoising-fluorescence][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][https_arxiv.org_abs_1812.06216]  
源码链接：[https://github.com/deep-geometry/abc-dataset][https_github.com_deep-geometry_abc-dataset]

# 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][https_arxiv.org_abs_1812.02162]  
源码链接：[https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint][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][https_arxiv.org_abs_1903.06325]  
源码链接：[https://github.com/KovenYu/MAR][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][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][https_arxiv.org_abs_1904.01990]  
代码链接：[https://github.com/zhunzhong07/ECN][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][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][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][https_github.com_liuwei16_CSP_blob_master_docs_2019CVPR-CSP.pdf]  
源码链接：[https://github.com/liuwei16/CSP][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][https_arxiv.org_abs_1904.06859]

# 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][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][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][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][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][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][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][https_arxiv.org_abs_1902.10990]  
代码链接：[https://github.com/maestrojeong/Deep-Hash-Table-CVPR19][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][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][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][https_arxiv.org_pdf_1902.03451.pdf]  
Github链接：[https://github.com/boukhayma/3dhand][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][https_arxiv.org_pdf_1812.01598.pdf]  
项目链接：[http://domedb.perception.cs.cmu.edu/monototalcapture.html][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][https_arxiv.org_abs_1811.11745]  
project链接：[http://timothybrooks.com/tech/motion-blur/][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][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][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][http_cs.sfu.ca_hamarneh_ecopy_cvpr2019.pdf]  
Arxiv链接：[https://arxiv.org/abs/1903.01015][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][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][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][https_arxiv.org_abs_1811.10652]  
代码链接：[https://github.com/aimagelab/show-control-and-tell][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][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][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][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][https_arxiv.org_abs_1903.01602]  
Github:[https://github.com/chihyaoma/regretful-agent][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][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][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][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][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][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][https_arxiv.org_abs_1711.05847]  
代码链接：[https://github.com/xilaili/AOGNet][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][https_arxiv.org_pdf_1812.06861.pdf]  
代码链接：[https://github.com/lvzhaoyang/DeeperInverseCompositionalAlgorithm][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][https_arxiv.org_pdf_1901.09458.pdf]  
代码链接: [https://github.com/xiangruhuang/Learning2Sync][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][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][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][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/][https_cs.stanford.edu_kaichun_partnet]  
论文链接：[https://arxiv.org/abs/1812.02713][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][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][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][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][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][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][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][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1903.04704]  
源码链接：[https://github.com/CVLAB-Unibo/Real-time-self-adaptive-deep-stereo][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][https_arxiv.org_abs_1811.11187]  
源码链接：[https://github.com/skanti/Scan2CAD][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][https_arxiv.org_abs_1901.03861]  
源码链接：[https://github.com/sunset1995/HorizonNet][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][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][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][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][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][https_arxiv.org_abs_1903.05503]  
代码链接：[https://github.com/wzzheng/HDML（待更新][https_github.com_wzzheng_HDML]）  
  
  
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][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][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1903.04227]  
源码链接：[https://github.com/lyndonzheng/Pluralistic-Inpainting][https_github.com_lyndonzheng_Pluralistic-Inpainting]  
项目链接：[http://www.chuanxiaz.com/publication/pluralistic/][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][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][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][https_arxiv.org_abs_1903.07593]  
项目链接：[https://ajabri.github.io/timecycle/][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][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1903.07593]  
项目链接：[https://ajabri.github.io/timecycle/][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][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][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][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][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][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][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1811.09600]  
代码链接：[https://github.com/jeromerony/fast\_adversarial][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][https_arxiv.org_abs_1903.02728]  
代码链接：[https://github.com/NVIDIA/ContrastiveLosses4VRD][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][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][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][https_arxiv.org_abs_1812.01855]  
代码链接：[https://github.com/shijx12/XNM-Net][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][https_arxiv.org_abs_1903.08558]  
代码链接：[https://github.com/lsy17096535/Single-Image-Deraining][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][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][https_arxiv.org_abs_1810.10220]  
代码链接：[https://github.com/TencentYoutuResearch/FaceDetection-DSFD][https_github.com_TencentYoutuResearch_FaceDetection-DSFD]  
微信公众号介绍链接：[https://mp.weixin.qq.com/s/0rTCeHumVSv07hMCaCd7EA][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][https_arxiv.org_abs_1901.05127]  
项目链接：[https://sites.google.com/view/yuanyao/attention-aware-multi-stroke-style-transfer][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][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][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][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][https_arxiv.org_abs_1902.05093]  
代码链接：[https://github.com/tensorflow/models/tree/master/research/deeplab/evaluation][https_github.com_tensorflow_models_tree_master_research_deeplab_evaluation]  
项目链接：[http://deeperlab.mit.edu/][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][https_drive.google.com_file_d_1sl5IBD36bMWAvKH7Uz7An0mcrIOmlopv_view]  
代码链接：[https://github.com/Yijunmaverick/Im2Pencil][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][https_arxiv.org_abs_1811.10787]  
代码链接：[https://github.com/fengyang0317/unsupervised\_captioning][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][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][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][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][https_arxiv.org_abs_1812.02122]  
代码链接：[https://github.com/cherubicXN/afm\_cvpr2019][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][https_arxiv.org_abs_1812.03411v2]  
代码链接：[https://github.com/facebookresearch/ImageNet-Adversarial-Training][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][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][https_arxiv.org_abs_1901.09221]  
代码链接：[https://github.com/csdwren/PReNet][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][https_arxiv.org_abs_1811.08264]  
代码链接：[https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network][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][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][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][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][https_arxiv.org_abs_1805.11724v3]  
代码链接：[https://github.com/cyvius96/adgpm][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][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][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][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][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][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][https_arxiv.org_abs_1903.12351]  
代码链接：[https://github.com/Liumouliu/OriCNN][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][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][https_arxiv.org_abs_1904.00923]  
源码链接：[https://github.com/matthewwicker/IterativeSalienceOcclusion][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][https_arxiv.org_abs_1903.12061]  
源码链接：[https://github.com/AmosZhu/CVPR2019][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][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][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][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][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][https_arxiv.org_abs_1904.00637]  
代码链接：[https://github.com/Vandermode/ERRNet][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][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][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][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][https_arxiv.org_abs_1904.00637]  
代码链接：[https://github.com/Vandermode/ERRNet][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][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][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][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][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][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][https_arxiv.org_abs_1904.02028]  
项目链接：[http://webdiis.unizar.es/~jmfacil/camconvs/][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][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][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1812.04204]  
项目链接：[http://vision.cs.utexas.edu/projects/2.5D\_visual\_sound/][http_vision.cs.utexas.edu_projects_2.5D_visual_sound]  
源码链接：[https://github.com/facebookresearch/FAIR-Play][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][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][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][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][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][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][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][https_arxiv.org_abs_1904.04441]  
代码链接：[https://github.com/HuiZeng/Grid-Anchor-based-Image-Cropping][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][https_arxiv.org_abs_1904.04536]  
源码链接：[https://github.com/Gaoyiminggithub/Graphonomy][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][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][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][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][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][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][https_arxiv.org_abs_1904.04144]  
代码链接：[https://github.com/fabiotosi92/monoResMatch-Tensorflow][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][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][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][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][https_arxiv.org_abs_1904.06627]  
源码链接：[https://github.com/MalongTech/research-ms-loss][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][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1904.05408]  
源码链接：[https://github.com/musikisomorphie/swd][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][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][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][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][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][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][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][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][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][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][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][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][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][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][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][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][http_cs.nju.edu.cn_rl_people_liwb_CVPR19.pdf]  
源码链接：[https://github.com/WenbinLee/DN4.git][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][https_arxiv.org_abs_1812.01784]  
源码链接：[https://github.com/edgarschnfld/CADA-VAE-PyTorch][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][https_arxiv.org_abs_1812.02122]  
源码链接：[https://github.com/cherubicXN/afm\_cvpr2019][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][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][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][https_arxiv.org_abs_1904.07457]  
源码链接：[https://github.com/ZezhouCheng/GP-DIP][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][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][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][http_nlpr-web.ia.ac.cn_mmc_homepage_jygao_gct_cvpr2019.html]  
源码链接：[https://github.com/jiaxiaojunQAQ/Comdefend][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][CVPR 2019 _]  
  
  
209、REPAIR: Removing Representation Bias by Dataset Resampling  
作者：Yi Li, Nuno Vasconcelos  
论文链接：[https://arxiv.org/abs/1904.07911][https_arxiv.org_abs_1904.07911]  
源码链接：[https://github.com/JerryYLi/Dataset-REPAIR/][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][https_arxiv.org_abs_1904.07934]  
项目链接：[https://nv-tlabs.github.io/STEAL/][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][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][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][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][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][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][https_contactdb.cc.gatech.edu_contactdb_paper.pdf]  
源码链接：[https://github.com/samarth-robo/contactdb\_prediction][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][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][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1904.09201]  
源码链接：[https://github.com/Nicholasli1995/VisualizingNDF][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][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][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][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][https_arxiv.org_abs_1904.09970]  
源码链接：[https://github.com/paschalidoud/superquadric\_parsing][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][https_arxiv.org_abs_1904.03379]  
项目链接：[https://github.com/SijieSong/person\_generation\_spt][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][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][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][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][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][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][https_arxiv.org_abs_1904.10506v1]  
源码链接：[https://github.com/zhuhao-nju/hmd.git][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][https_youkaichao.github.io_files_cvpr2019_1628.pdf]  
源码链接：[https://github.com/thuml/Universal-Domain-Adaptation][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][https_arxiv.org_abs_1904.09709]  
源码链接：[https://github.com/csmliu/STGAN][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][https_arxiv.org_abs_1904.09546]  
源码链接：[https://github.com/brjathu/deepcaps][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][https_arxiv.org_abs_1904.11740]  
源码链接：[https://github.com/kshitijd20/RSA-CVPR19-release][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][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][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][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][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][https_arxiv.org_pdf_1904.12785.pdf]  
源码链接：[https://github.com/nkolkin13/STROTSS][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][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][https_arxiv.org_abs_1803.06978]  
源码链接：[https://github.com/cihangxie/DI-2-FGSM][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][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][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][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][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][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][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][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][https_arxiv.org_abs_1812.02162]  
源码链接：[https://github.com/sxzrt/Dissecting-Person-Re-ID-from-the-Viewpoint-of-Viewpoint][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][https_arxiv.org_pdf_1812.02391.pdf]  
源码链接：[https://github.com/y2l/meta-transfer-learning-tensorflow][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][https_arxiv.org_abs_1905.01102]  
源码链接：[https://github.com/gidariss/wDAE\_GNN\_FewShot][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][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][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][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][https_arxiv.org_abs_1905.01744]  
项目链接：[http://zhiqiangshen.com/projects/INIT/index.html][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][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][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][https_arxiv.org_abs_1905.03244]  
项目链接：[https://www.seas.upenn.edu/~nkolot/projects/cmr/][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][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][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][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][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][http_www.bhchen.cn_paper_cvpr19.pdf]  
源码链接：[https://github.com/chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning][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][https_arxiv.org_abs_1811.04857]  
源码链接：[https://github.com/stevehuanghe/GDAN][https_github.com_stevehuanghe_GDAN]

# 文章**转载自：[http://bbs.cvmart.net/topics/302/cvpr2019paper\#17][http_bbs.cvmart.net_topics_302_cvpr2019paper_17]** #

[1300_CVPR2019]: https://mp.weixin.qq.com/s/SmS-guwg6oUqPYwfeC6iiw
[cvpr2019 accepted papers title]: https://docs.google.com/spreadsheets/d/1RU2y-iuzwtAR_hn4V9yz1qpZSiElm3iaCpUoDJ-vfvQ/htmlview?sle=true#
[Github]: https://github.com/extreme-assistant/cvpr2019
[PDF]: https://pan.baidu.com/s/1s4FuLscWcslN5rQQvP92JA
[Link 1]: http://bbs.cvmart.net/topics/287/cvpr2019
[Link 2]: https://blog.csdn.net/qq_23944915/article/details/90264715#1
[Link 3]: https://blog.csdn.net/qq_23944915/article/details/90264715#2
[Link 4]: https://blog.csdn.net/qq_23944915/article/details/90264715#3
[Link 5]: https://blog.csdn.net/qq_23944915/article/details/90264715#4
[Link 6]: https://blog.csdn.net/qq_23944915/article/details/90264715#5
[Link 7]: https://blog.csdn.net/qq_23944915/article/details/90264715#6
[Link 8]: https://blog.csdn.net/qq_23944915/article/details/90264715#7
[Link 9]: https://blog.csdn.net/qq_23944915/article/details/90264715#8
[Related to Networks]: https://blog.csdn.net/qq_23944915/article/details/90264715#9
[GAN]: https://blog.csdn.net/qq_23944915/article/details/90264715#10
[Link 10]: https://blog.csdn.net/qq_23944915/article/details/90264715#11
[Link 11]: https://blog.csdn.net/qq_23944915/article/details/90264715#12
[VQA]: https://blog.csdn.net/qq_23944915/article/details/90264715#13
[OCR]: https://blog.csdn.net/qq_23944915/article/details/90264715#14
[SLAM]: https://blog.csdn.net/qq_23944915/article/details/90264715#15
[Link 12]: https://blog.csdn.net/qq_23944915/article/details/90264715#16
[Link 13]: https://blog.csdn.net/qq_23944915/article/details/90264715#17
[Link 14]: https://blog.csdn.net/qq_23944915/article/details/90264715#18
[Link 15]: https://blog.csdn.net/qq_23944915/article/details/90264715#19
[https_arxiv.org_abs_1902.09738]: https://arxiv.org/abs/1902.09738
[https_arxiv.org_abs_1902.09630]: https://arxiv.org/abs/1902.09630
[https_mp.weixin.qq.com_s_6QsyYtEVjavoLfU_lQF1pw]: https://mp.weixin.qq.com/s/6QsyYtEVjavoLfU_lQF1pw
[https_arxiv.org_abs_1812.02781]: https://arxiv.org/abs/1812.02781
[https_arxiv.org_abs_1902.10903]: https://arxiv.org/abs/1902.10903
[https_github.com_pkuCactus_BDCN]: https://github.com/pkuCactus/BDCN
[https_arxiv.org_abs_1806.04728]: https://arxiv.org/abs/1806.04728
[https_arxiv.org_abs_1901.03278]: https://arxiv.org/abs/1901.03278
[https_mp.weixin.qq.com_s_Sl958JkcJjy-HW9_c-SH4g]: https://mp.weixin.qq.com/s/Sl958JkcJjy-HW9_c-SH4g
[https_github.com_open-mmlab_mmdetection]: https://github.com/open-mmlab/mmdetection
[https_arxiv.org_abs_1903.00859]: https://arxiv.org/abs/1903.00859
[https_arxiv.org_abs_1903.00788]: https://arxiv.org/abs/1903.00788
[https_arxiv.org_abs_1903.00621]: https://arxiv.org/abs/1903.00621
[CVPR2019 _ FSAF_CMU_Single-Shot]: https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247487638&idx=2&sn=1e9f26013b3d9ab4fd4137729894606a&chksm=ec1ffd6fdb687479183be59ec102f28bff4a5521903707fef744449e7630252c5298b66f339b&scene=21&token=236193575&lang=zh_CN#wechat_redirect
[CVPR2019 _ _ CMU _ Anchor-free]: http://bbs.cvmart.net/topics/379/%E5%9F%BA%E4%BA%8EAnchor-free%E7%89%B9%E5%BE%81%E9%80%89%E6%8B%A9%E6%A8%A1%E5%9D%97%E7%9A%84%E5%8D%95%E9%98%B6%E7%9B%AE%E6%A0%87%E6%A3%80%E6%B5%8B
[https_arxiv.org_abs_1812.02122]: https://arxiv.org/abs/1812.02122
[https_github.com_cherubicXN_afm_cvpr2019]: https://github.com/cherubicXN/afm_cvpr2019
[https_arxiv.org_abs_1807.01653]: https://arxiv.org/abs/1807.01653
[https_github.com_aimagelab_novelty-detection]: https://github.com/aimagelab/novelty-detection
[https_arxiv.org_abs_1812.04798]: https://arxiv.org/abs/1812.04798
[https_arxiv.org_abs_1903.09372]: https://arxiv.org/abs/1903.09372
[https_arxiv.org_abs_1903.10831]: https://arxiv.org/abs/1903.10831
[https_arxiv.org_abs_1809.08545]: https://arxiv.org/abs/1809.08545
[https_github.com_yihui-he_KL-Loss]: https://github.com/yihui-he/KL-Loss
[https_arxiv.org_abs_1904.00853]: https://arxiv.org/abs/1904.00853
[https_arxiv.org_pdf_1904.01665.pdf]: https://arxiv.org/pdf/1904.01665.pdf
[https_arxiv.org_pdf_1904.01690.pdf]: https://arxiv.org/pdf/1904.01690.pdf
[https_arxiv.org_abs_1904.02701]: https://arxiv.org/abs/1904.02701
[https_arxiv.org_abs_1904.03175]: https://arxiv.org/abs/1904.03175
[https_arxiv.org_abs_1904.04402]: https://arxiv.org/abs/1904.04402
[http_www.svcl.ucsd.edu_projects_universal-detection]: http://www.svcl.ucsd.edu/projects/universal-detection/
[https_arxiv.org_abs_1904.07392]: https://arxiv.org/abs/1904.07392
[https_arxiv.org_abs_1904.08241]: https://arxiv.org/abs/1904.08241
[https_arxiv.org_abs_1904.08739]: https://arxiv.org/abs/1904.08739
[https_arxiv.org_abs_1904.09569]: https://arxiv.org/abs/1904.09569
[http_mmcheng.net_poolnet]: http://mmcheng.net/poolnet/
[https_drive.google.com_open_id_1JcZMHBXEX-7AR1P010OXg_wCCC5HukeZ]: https://drive.google.com/open?id=1JcZMHBXEX-7AR1P010OXg_wCCC5HukeZ
[https_github.com_zhangludl_code-and-dataset-for-CapSal]: https://github.com/zhangludl/code-and-dataset-for-CapSal
[https_arxiv.org_pdf_1904.12681.pdf]: https://arxiv.org/pdf/1904.12681.pdf
[https_github.com_JosephineRabbit_MLMSNet]: https://github.com/JosephineRabbit/MLMSNet
[https_arxiv.org_abs_1810.08425v3]: https://arxiv.org/abs/1810.08425v3
[https_github.com_KimSoybean_ScratchDet]: https://github.com/KimSoybean/ScratchDet
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[https_arxiv.org_abs_1905.02479]: https://arxiv.org/abs/1905.02479
[https_arxiv.org_abs_1905.03079]: https://arxiv.org/abs/1905.03079
[https_arxiv.org_abs_1905.03244]: https://arxiv.org/abs/1905.03244
[https_www.seas.upenn.edu_nkolot_projects_cmr]: https://www.seas.upenn.edu/~nkolot/projects/cmr/
[https_arxiv.org_abs_1905.03677]: https://arxiv.org/abs/1905.03677
[https_arxiv.org_abs_1905.03897]: https://arxiv.org/abs/1905.03897
[https_arxiv.org_abs_1905.04016]: https://arxiv.org/abs/1905.04016
[https_arxiv.org_pdf_1812.09903.pdf]: https://arxiv.org/pdf/1812.09903.pdf
[http_www.bhchen.cn_paper_cvpr19.pdf]: http://www.bhchen.cn/paper/cvpr19.pdf
[https_github.com_chenbinghui1_Hybrid-Attention-based-Decoupled-Metric-Learning]: https://github.com/chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning
[https_arxiv.org_abs_1811.04857]: https://arxiv.org/abs/1811.04857
[https_github.com_stevehuanghe_GDAN]: https://github.com/stevehuanghe/GDAN
[http_bbs.cvmart.net_topics_302_cvpr2019paper_17]: http://bbs.cvmart.net/topics/302/cvpr2019paper#17