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CASIA OpenIR
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Mask-guided Contrastive Attention Model for Person Re-Identification 会议论文
, SaltLake City, USA, 2018-06
作者:  Song, Chunfeng;  Huang, Yan;  Ouyang, Wangli;  Wang, Liang
浏览  |  Adobe PDF(1083Kb)  |  收藏  |  浏览/下载：268/89  |  提交时间：2020/01/13
行人再识别  
MV-RNN: A Multi-View Recurrent Neural Network for Sequential Recommendation 期刊论文
IEEE Transactions on Knowledge and Data Engineering (TKDE), 2018, 期号: no, 页码: no
作者:  Qiang Cui;  Shu Wu;  Qiang Liu;  Wen Zhong;  Liang Wang
Adobe PDF(979Kb)  |  收藏  |  浏览/下载：278/42  |  提交时间：2019/05/09
Multi-view  Sequential Recommendation  Recurrent Neural Network  Cold Start  
Beyond Joints: Learning Representations From Primitive Geometries for Skeleton-Based Action Recognition and Detection 期刊论文
IEEE Transactions on Image Processing, 2018, 卷号: 27, 期号: 9, 页码: 4382 - 4394
作者:  Wang Hongsong(王洪松);  Wang Liang(王亮)
Adobe PDF(2429Kb)  |  收藏  |  浏览/下载：343/88  |  提交时间：2018/06/03
Skeleton-based Action Recognition  Geometric Relations  Viewpoint Transformation  Action Detection  
Learning Content and Style: Joint Action Recognition and Person Identification from Human Skeletons 期刊论文
Pattern Recognition, 2018, 期号: 81, 页码: 23-35
作者:  Wang Hongsong(王洪松);  Wang Liang(王亮)
浏览  |  Adobe PDF(1622Kb)  |  收藏  |  浏览/下载：332/114  |  提交时间：2018/06/01
Content And Style  Action Recognition  Person Identification From Motions  Skeleton Transformation  Multi-task Rnn  
Mining Significant Microblogs for Misinformation Identification: An Attention-Based Approach 期刊论文
ACM Transactions on Intelligent Systems and Technology, 2018, 卷号: 9, 期号: 5, 页码: 50
作者:  Liu, Qiang;  Wu, Shu;  Wang, Liang
浏览  |  Adobe PDF(707Kb)  |  收藏  |  浏览/下载：229/55  |  提交时间：2018/05/30
Misinformation Identification  Attention Model  Social Media  Significant Microblogs  
Video Super-Resolution via Bidirectional Recurrent Convolutional Networks 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2018, 卷号: 40, 期号: 4, 页码: 1015-1028
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang
Adobe PDF(10250Kb)  |  收藏  |  浏览/下载：779/294  |  提交时间：2017/06/19
Deep Learning  Recurrent Neural Networks  3d Convolution  Video Super-resolution