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CASIA OpenIR

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CSAN: Contextual Self-Attention Network for User Sequential Recommendation 会议论文
, Seoul, Republic of Korea, October 22-26, 2018
作者:  Xiaowen Huang;  Shengsheng Qian;  Quan Fang;  Jitao Sang;  Changsheng Xu
浏览  |  Adobe PDF(3198Kb)  |  收藏  |  浏览/下载：402/165  |  提交时间：2019/09/26
Selection Expressions for Procedural Modeling 期刊论文
IEEE Transactions on Visualization and Computer Graphics, 2018, 卷号: 26, 期号: xx, 页码: xx
作者:  Haiyong Jiang;  Dong-Ming Yan;  Xiaopeng Zhang;  Peter Wonka
浏览  |  Adobe PDF(48767Kb)  |  收藏  |  浏览/下载：489/77  |  提交时间：2018/10/14
Procedural Modeling  Building Modeling  Selections  Grammars  
P2T: Part-to-Target Tracking via Deep Regression Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2018, 卷号: 27, 期号: 6, 页码: 3074-3086
作者:  Gao, Junyu;  Zhang, Tianzhu;  Yang, Xiaoshan;  Xu, Changsheng
浏览  |  Adobe PDF(5803Kb)  |  收藏  |  浏览/下载：416/113  |  提交时间：2018/10/10
Visual Tracking  Deep Learning  Part-based Tracker  
Distinguishing Between Natural and Computer-Generated Images Using Convolutional Neural Networks 期刊论文
IEEE TRANSACTIONS ON INFORMATION FORENSICS AND SECURITY, 2018, 卷号: 13, 期号: 11, 页码: 2772-2787
作者:  Quan, Weize;  Wang, Kai;  Yan, Dong-Ming;  Zhang, Xiaopeng
浏览  |  Adobe PDF(8950Kb)  |  收藏  |  浏览/下载：497/160  |  提交时间：2018/10/01
Image forensics  natural image  computer-generated image  convolutional neural network  robustness  local-to-global strategy  visualization  
Robust Structural Sparse Tracking 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2018, 期号: pp, 页码: 1-1
作者:  Zhang, Tianzhu;  Xu, Changsheng;  Yang, Ming-Hsuan
Adobe PDF(8609Kb)  |  收藏  |  浏览/下载：550/158  |  提交时间：2018/02/07
Visual Tracking  Sparse Tracking  Structural Modeling  Sparse Representation  
Text2Video: An End-to-end Learning Framework for Expressing Text With Videos 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2018, 卷号: 20, 期号: 9, 页码: 2360-2370
作者:  Yang, Xiaoshan;  Zhang, Tianzhu;  Xu, Changsheng
浏览  |  Adobe PDF(2281Kb)  |  收藏  |  浏览/下载：550/150  |  提交时间：2018/02/07
Multimedia Storytelling  Video Analysis  Deep Learning