CASIA OpenIR
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Deep Multi-Modality Adversarial Networks for Unsupervised Domain Adaptation 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 9, 页码: 2419-2431
Authors:  Ma, Xinhong;  Zhang, Tianzhu;  Xu, Changsheng
Favorite  |  View/Download:10/0  |  Submit date:2019/12/16
Unsupervised domain adaptation  triplet loss  stacked attention  multi-modality  social event recognition  
A Generic Framework for Social Event Analysis 会议论文
, Bucharest, Romania, June 6-9, 2017
Authors:  Shengsheng Qian;  Tianzhu Zhang;  Changsheng Xu
View  |  Adobe PDF(5073Kb)  |  Favorite  |  View/Download:228/95  |  Submit date:2017/06/14
多媒体社会事件分析的研究与展望 期刊论文
南京信息工程大学学报(自然科学版), 2017, 期号: 6, 页码: 1-14
Authors:  Shengsheng Qian;  Tianzhu Zhang;  Changsheng Xu
View  |  Adobe PDF(1114Kb)  |  Favorite  |  View/Download:102/47  |  Submit date:2018/02/07
多媒体  社会事件  多模态  跨平台  
Multi-modal Multi-view Topic-opinion Mining for Social Event Analysis 会议论文
, Amsterdam, The Netherlands, October 15 - 19, 2016
Authors:  Shengsheng Qian;  Tianzhu Zhang;  Changsheng Xu
View  |  Adobe PDF(12157Kb)  |  Favorite  |  View/Download:242/70  |  Submit date:2017/05/08
Semantic Feature Mining for Video Event Understanding 期刊论文
ACM TRANSACTIONS ON MULTIMEDIA COMPUTING COMMUNICATIONS AND APPLICATIONS, 2016, 卷号: 12, 期号: 4, 页码: 55:1-55:22
Authors:  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng
View  |  Adobe PDF(910Kb)  |  Favorite  |  View/Download:164/36  |  Submit date:2016/12/26
Video Recognition  Event  
The Visual Object Tracking VOT2016 Challenge Results 会议论文
, Amsterdam, Netherlands, 2016-10
Authors:  Matej Kristan;  Ales Leonardis;  Jiri Matas;  Gao, Junyu;  Zhang, Tianzhu;  Xu, Changsheng
View  |  Adobe PDF(2757Kb)  |  Favorite  |  View/Download:83/22  |  Submit date:2018/02/07
Automatic Visual Concept Learning for Social Event Understanding 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 3, 页码: 346-358
Authors:  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng;  Hossain, M. Shamim
View  |  Adobe PDF(2027Kb)  |  Favorite  |  View/Download:99/29  |  Submit date:2015/09/21
Event Analysis  Video Recognition