CVPR2019| 05-13更新14篇论文及代码合集（含目标损失/零样本识别/姿态估计/GAN等）

2019 年 5 月 13 日 极市平台

加入极市专业CV交流群，与6000+来自腾讯，华为，百度，北大，清华，中科院等名企名校视觉开发者互动交流！更有机会与李开复老师等大牛群内互动！

同时提供每月大咖直播分享、真实项目需求对接、干货资讯汇总，行业技术交流。点击文末“阅读原文”立刻申请入群~

前段时间，计算机视觉顶会CVPR 2019 公布了接收结果，极市也对此做了相关报道：1300篇！CVPR2019接收结果公布，你中了吗？。目前官方已公布了接收论文列表，极市已汇总目前公开的所有论文链接及code（目前已更新563篇），今日更新论文如下：

CVPR2019 全部论文汇总：

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

CVPR2019 论文解读

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

1.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

2.Learning Loss for Active Learning
作者：Donggeun Yoo, In So Kweon
论文链接：https://arxiv.org/abs/1905.03677

3.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

4.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
源码链接：https://github.com/svip-lab/PPGNet

5.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

6.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

7.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

8.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

9.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
源码链接：https://github.com/taki0112/SphereGAN-Tensorflow

10.Progressive Ensemble Networks for Zero-Shot Recognition
作者：Meng Ye, Yuhong Guo
论文链接：https://arxiv.org/pdf/1805.07473.pdf

11.Domain-Aware Generalized Zero-Shot Learning
作者：Yuval Atzmon, Gal Chechik
论文链接：https://arxiv.org/pdf/1812.09903.pdf

12.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

13.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
源码链接：https://github.com/chenbinghui1/Hybrid-Attention-based-Decoupled-Metric-Learning

14.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
源码链接：https://github.com/stevehuanghe/GDAN