cvpr2019 accepted papers list: http:https://cvpr2019.thecvf.com/files/cvpr_2019_final_accept_list.txt
论文PDF下载（更新中） 链接：https://pan.baidu.com/s/1s4FuLscWcslN5rQQvP92JA 提取码：osvy
Related paper links:
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
2、Deep High-Resolution Representation Learning for Human Pose Estimation(目前SOTA,已经开源) 作者：Ke Sun, Bin Xiao, Dong Liu, Jingdong Wang 论文链接：https://128.84.21.199/abs/1902.09212 代码链接：https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
3、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
4、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
5、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
6、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
7、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
8、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
9、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
10、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
11、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
12、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
13、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
14、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
15、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
16、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
17、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
18、InverseRenderNet: Learning single image inverse rendering 作者：Ye Yu, William A. P. Smith 论文链接：https://arxiv.org/abs/1811.12328
19、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
20、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
21.Iterative Residual CNNs for Burst Photography Applications 作者：Filippos Kokkinos Stamatis Lefkimmiatis 论文链接：https://arxiv.org/abs/1811.12197
22.Mixture Density Generative Adversarial Networks 作者：Hamid Eghbal-zadeh, Werner Zellinger, Gerhard Widmer 论文链接：https://arxiv.org/abs/1811.00152
23.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