CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共10条,第1-10条 帮助

限定条件                
已选(0)清除 条数/页:   排序方式:
Personalized graph neural networks with attention mechanism for session-aware recommendation 期刊论文
IEEE TRANSACTIONS ON KNOWLEDGE AND DATA ENGINEERING, 2020, 卷号: 34, 期号: 8, 页码: 3946-3957
作者:  Mengqi Zhang;  Shu Wu;  Meng Gao;  Xin Jiang;  Ke Xu;  Liang Wang
Adobe PDF(1277Kb)  |  收藏  |  浏览/下载:132/49  |  提交时间:2023/07/03
CASIA-E: A Large Comprehensive Dataset for Gait Recognition 期刊论文
IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023, 卷号: 45, 期号: 3, 页码: 2801-2815
作者:  Chunfeng Song;  Yongzhen Huang;  Weining Wang;  Liang Wang
Adobe PDF(2441Kb)  |  收藏  |  浏览/下载:181/39  |  提交时间:2023/05/04
Semi-supervised Temporal Action Proposal Generation via Exploiting 2-d Proposal Map 期刊论文
IEEE Transactions on Multimedia, 2021, 页码: 3624 - 3635
作者:  Wang, Weining;  Lin, Tianwei;  He, Dongliang;  Li, Fu;  Wen, Shilei;  Wang, Liang;  Liu, Jing
Adobe PDF(4851Kb)  |  收藏  |  浏览/下载:142/22  |  提交时间:2023/05/03
Semi-supervised learning  proposal map oriented mean-teacher  pseudo label  
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 卷号: 17, 期号: 5, 页码: 652-666
作者:  Wei-Ning Wang;  Qi Li;  Liang Wang
Adobe PDF(1855Kb)  |  收藏  |  浏览/下载:165/21  |  提交时间:2021/02/22
Object tracking  information theoretic measures  correntropy  template update  robust to complex noises.  
Robust Object Tracking via Information Theoretic Measures 期刊论文
International Journal of Automation and Computing, 2020, 期号: 17, 页码: 1
作者:  Wang, Weining;  Li, Qi;  Wang, Liang
浏览  |  Adobe PDF(9045Kb)  |  收藏  |  浏览/下载:190/54  |  提交时间:2020/09/03
Object tracking, information theoretic measures, correntropy, template update, robust to complex noises  
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
浏览  |  Adobe PDF(10250Kb)  |  收藏  |  浏览/下载:781/294  |  提交时间:2017/06/19
Deep Learning  Recurrent Neural Networks  3d Convolution  Video Super-resolution  
A Comprehensive Study on Cross-View Gait Based Human Identification with Deep CNNs 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2017, 卷号: 39, 期号: 2, 页码: 209-226
作者:  Wu, Zifeng;  Huang, Yongzhen;  Wang, Liang;  Wang, Xiaogang;  Tan, Tieniu
浏览  |  Adobe PDF(2447Kb)  |  收藏  |  浏览/下载:1138/608  |  提交时间:2017/05/05
Deep Learning  Cnn  Human Identification  Gait  Cross-view  
Coupled Topic Model for Collaborative Filtering With User-Generated Content 期刊论文
IEEE TRANSACTIONS ON HUMAN-MACHINE SYSTEMS, 2016, 卷号: 46, 期号: 6, 页码: 908-920
作者:  Wu, Shu;  Guo, Weiyu;  Xu, Song;  Huang, Yongzhen;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(997Kb)  |  收藏  |  浏览/下载:510/184  |  提交时间:2016/10/24
Collaborative Filtering (Cf)  Recommender Systems (Rs)  Topic Model  User-generated Content (Ugc)  
Learning Relevance Restricted Boltzmann Machine for Unstructured Group Activity and Event Understanding 期刊论文
INTERNATIONAL JOURNAL OF COMPUTER VISION, 2016, 卷号: 119, 期号: 3, 页码: 329-345
作者:  Zhao, Fang;  Huang, Yongzhen;  Wang, Liang;  Xiang, Tao;  Tan, Tieniu
浏览  |  Adobe PDF(6286Kb)  |  收藏  |  浏览/下载:421/131  |  提交时间:2016/10/20
Representation Learning  Video Analysis  Restricted Boltzmann Machine  Sparse Bayesian Learning  
Regional homogeneity, functional connectivity and imaging markers of Alzheimer's disease: A review of resting-state fMRI studies 期刊论文
NEUROPSYCHOLOGIA, 2008, 卷号: 46, 期号: 6, 页码: 1648-1656
作者:  Liu, Yong;  Wang, Kun;  Yu, Chunshui;  He, Yong;  Zhou, Yuan;  Liang, Meng;  Wang, Liang;  Jiang, Tianzi;  Jiang Tianzi
浏览  |  Adobe PDF(474Kb)  |  收藏  |  浏览/下载:584/164  |  提交时间:2015/11/08
Alzheimer's Disease  Resting-state Fmri  Reho  Functional Connectivity  Biomarkers