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Hierarchical Graph Convolutional Network For Skeleton-Based Action Recognition 会议论文
, Beijing, China, 2019-8-23
作者:  Huang, Linjiang;  Huang, Yan;  Ouyang, Wanli;  Wang, Liang
浏览  |  Adobe PDF(524Kb)  |  收藏  |  浏览/下载：316/81  |  提交时间：2020/06/10
Recurrent Prediction with Spatio-temporal Attention for Crowd Attribute Recognition 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2019, 卷号: 30, 期号: Early Access, 页码: 1 - 1
作者:  Li, Qiaozhe;  Zhao, Xin;  He, Ran;  Huang, Kaiqi
浏览  |  Adobe PDF(2648Kb)  |  收藏  |  浏览/下载：395/104  |  提交时间：2020/01/14
Crowd video understanding , Attribute recognition , Attention mechanism , Multi-label classification  
GaitNet: An end-to-end network for gait based human identification 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 期号: 106988, 页码: 11
作者:  Song, Chunfeng;  Huang, Yongzhen;  Huang, Yan;  Jia, Ning;  Wang, Liang
浏览  |  Adobe PDF(3015Kb)  |  收藏  |  浏览/下载：600/159  |  提交时间：2019/12/16
Gait recognition  Video-based human identification  End-to-end CNN  Joint learning  
Adversarial Learning Semantic Volume for 2D/3D Face Shape Regression in the Wild 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 9, 页码: 4526-4540
作者:  Zhang, Hongwen;  Li, Qi;  Sun, Zhenan
Adobe PDF(4865Kb)  |  收藏  |  浏览/下载：315/45  |  提交时间：2019/10/08
2D/3D facial landmark localization  semantic volumetric representation  joint voxel and coordinate regression  auxiliary regression adversarial learning  
SMART: Joint Sampling and Regression for Visual Tracking 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2019, 卷号: 28, 期号: 8, 页码: 3923-3935
作者:  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
浏览  |  Adobe PDF(9244Kb)  |  收藏  |  浏览/下载：340/42  |  提交时间：2019/09/30
Visual tracking  deep learning  sampling and regression  
Part-aligned pose-guided recurrent network for action recognition 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 92, 期号: 1, 页码: 165-176
作者:  Huang, Linjiang;  Huang, Yan;  Ouyang, Wanli;  Wang, Liang
浏览  |  Adobe PDF(2555Kb)  |  收藏  |  浏览/下载：530/119  |  提交时间：2019/07/11
Action recognition  Part alignment  Auto-transformer attention