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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  
A Comparison of Correlation Filter-Based Trackers and Struck Trackers 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2020, 卷号: 30, 期号: 9, 页码: 3106-3118
作者:  Wang, Jinqiao;  Zheng, Linyu;  Tang, Ming;  Feng, Jiayi
收藏  |  浏览/下载：209/0  |  提交时间：2021/01/07
Correlation  Target tracking  Kernel  Support vector machines  Training  Optimization  Discrete Fourier transforms  Visual tracking  correlation filters  structured output SVM tracker  struck  ranking SVM tracker  
Image Class Prediction by Joint Object, Context, and Background Modeling 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2018, 卷号: 28, 期号: 2, 页码: 428-438
作者:  Zhang, Chunjie;  Zhu, Guibo;  Liang, Chao;  Zhang, Yifan;  Huang, Qingming;  Tian, Qi
浏览  |  Adobe PDF(2826Kb)  |  收藏  |  浏览/下载：505/177  |  提交时间：2017/09/14
Background Modeling  Context Modeling  Image Class Prediction  Object Modeling  
Contextual Exemplar Classifier-Based Image Representation for Classification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 8, 页码: 1691-1699
作者:  Zhang, Chunjie;  Huang, Qingming;  Tian, Qi
浏览  |  Adobe PDF(1939Kb)  |  收藏  |  浏览/下载：381/129  |  提交时间：2017/09/14
Computer Vision  Image Processing  Pattern Classification  
Hybrid CNN and Dictionary-Based Models for Scene Recognition and Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2017, 卷号: 27, 期号: 6, 页码: 1263-1274
作者:  Xie, Guo-Sen;  Zhang, Xu-Yao;  Yan, Shuicheng;  Liu, Cheng-Lin
浏览  |  Adobe PDF(5307Kb)  |  收藏  |  浏览/下载：538/165  |  提交时间：2016/07/14
Convolutional Neural Networks (Cnns)  Dictionary  Domain ADaptation (Da)  Fisher Vector  Part Learning  Scene Recognition  
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
Adobe PDF(3657Kb)  |  收藏  |  浏览/下载：314/105  |  提交时间：2016/06/14
Deep Learning  Object Tracking  Severe Blur  
Adaptive Slice Representation for Human Action Classification 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 卷号: 25, 期号: 10, 页码: 1624-1636
作者:  Shan, Yanhu;  Zhang, Zhang;  Yang, Peipei;  Huang, Kaiqi;  Kaiqi Huang
浏览  |  Adobe PDF(2720Kb)  |  收藏  |  浏览/下载：359/105  |  提交时间：2015/11/12
Action Recognition  Adaptive Slice  Mel Frequency Cepstrum Coefficient (Mfcc)  Minimum Average Entropy (Minae)  
Image Tag Refinement With View-Dependent Concept Representations 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2015, 卷号: 25, 期号: 8, 页码: 1409-1422
作者:  Fu, Jianlong;  Wang, Jinqiao;  Rui, Yong;  Wang, Xin-Jing;  Mei, Tao;  Lu, Hanqing
浏览  |  Adobe PDF(3630Kb)  |  收藏  |  浏览/下载：449/99  |  提交时间：2015/09/23
Concept Representations  Image Tag Refinement  Image Tagging  
Spatiotemporal Group Context for Pedestrian Counting 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2014, 卷号: 24, 期号: 9, 页码: 1620-1630
作者:  Wang, Jinqiao;  Fu, Wei;  Liu, Jingjing;  Lu, Hanqing
浏览  |  Adobe PDF(3404Kb)  |  收藏  |  浏览/下载：392/75  |  提交时间：2015/08/12
Group Context  Group Correspondence Matrix  Markov-chain Monte Carlo (Mcmc)  Pedestrian Counting  
Boosted Exemplar Learning for Action Recognition and Annotation 期刊论文
IEEE TRANSACTIONS ON CIRCUITS AND SYSTEMS FOR VIDEO TECHNOLOGY, 2011, 卷号: 21, 期号: 7, 页码: 853-866
作者:  Zhang, Tianzhu;  Liu, Jing;  Liu, Si;  Xu, Changsheng;  Lu, Hanqing
浏览  |  Adobe PDF(2004Kb)  |  收藏  |  浏览/下载：307/70  |  提交时间：2015/08/12
Action Annotation  Action Recognition  Adaboost  Mi-svm  Multiple Instance Learning (Mil)