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Richly Activated Graph Convolutional Network for Robust Skeleton-Based Action Recognition 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2021, 卷号: 31, 期号: 5, 页码: 1915-1925
作者:  Song, Yi-Fan;  Zhang, Zhang;  Shan, Caifeng;  Wang, Liang
Adobe PDF(3381Kb)  |  收藏  |  浏览/下载：375/57  |  提交时间：2021/06/15
Skeleton  Robustness  Noise measurement  Three-dimensional displays  Degradation  Standards  Feature extraction  Action recognition  skeleton  activation map  graph convolutional network  occlusion  jittering  
An Equalized Global Graph Model-Based Approach for Multicamera Object Tracking 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 11, 页码: 2367-2381
作者:  Chen, Weihua;  Cao, Lijun;  Chen, Xiaotang;  Huang, Kaiqi
浏览  |  Adobe PDF(16585Kb)  |  收藏  |  浏览/下载：333/78  |  提交时间：2018/03/03
Global Graph Model  Multicamera Multiobject Tracking  Nonoverlapping Visual Object Tracking  
Severely Blurred Object Tracking by Learning Deep Image Representations 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2016, 卷号: 26, 期号: 2, 页码: 319-331
作者:  Ding, Jianwei;  Huang, Yongzhen;  Liu, Wei;  Huang, Kaiqi
浏览  |  Adobe PDF(3657Kb)  |  收藏  |  浏览/下载：314/105  |  提交时间：2016/06/14
Deep Learning  Object Tracking  Severe Blur