CASIA OpenIR
(本次检索基于用户作品认领结果)

浏览/检索结果: 共9条,第1-9条 帮助

限定条件            
已选(0)清除 条数/页:   排序方式:
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:173/37  |  提交时间:2023/05/04
GaitNet: An end-to-end network for gait based human identification 期刊论文
PATTERN RECOGNITION, 2019, 卷号: 96, 期号: 106988, 页码: 11
作者:  Song, Chunfeng;  Huang, Yongzhen;  Huang, Yan;  Jia, Ning;  Wang, Liang
Adobe PDF(3015Kb)  |  收藏  |  浏览/下载:594/158  |  提交时间:2019/12/16
Gait recognition  Video-based human identification  End-to-end CNN  Joint learning  
Fast Object Detection at Constrained Energy 期刊论文
IEEE Trans. on Emerging Topics in Computing, 2016, 期号: 1-1, 页码: 99
作者:  Jingyu Liu;  Yongzhen Huang;  Junran Peng;  Jun Yao;  Liang Wang
Adobe PDF(2002Kb)  |  收藏  |  浏览/下载:279/89  |  提交时间:2018/01/03
Object Detection  Constrained Energy  Fast-rcnn  
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:1124/606  |  提交时间:2017/05/05
Deep Learning  Cnn  Human Identification  Gait  Cross-view  
What makes for good multiple object trackers 会议论文
, Beijing, China, 2016-10-16
作者:  Yuqi Zhang;  Yongzhen Huang;  Liang Wang
浏览  |  Adobe PDF(1404Kb)  |  收藏  |  浏览/下载:238/79  |  提交时间:2017/02/27
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
Adobe PDF(997Kb)  |  收藏  |  浏览/下载:498/181  |  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:414/129  |  提交时间:2016/10/20
Representation Learning  Video Analysis  Restricted Boltzmann Machine  Sparse Bayesian Learning  
Learning Representative Deep Features for Image Set Analysis 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 11, 页码: 1960-1968
作者:  Wu, Zifeng;  Huang, Yongzhen;  Wang, Liang
浏览  |  Adobe PDF(1567Kb)  |  收藏  |  浏览/下载:356/122  |  提交时间:2016/01/18
Album Classification  Deep Learning  Gait Recognition  Image Set  
Hierarchical feature coding for image classification 期刊论文
NEUROCOMPUTING, 2014, 卷号: 144, 期号: 144, 页码: 509-515
作者:  Liu, Jingyu;  Huang, Yongzhen;  Wang, Liang;  Wu, Shu
浏览  |  Adobe PDF(1263Kb)  |  收藏  |  浏览/下载:343/104  |  提交时间:2015/08/12
Image Classification  Hierarchical Encoding  Higher Level Representation