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CASIA OpenIR
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Improving Description-Based Person Re-Identification by Multi-Granularity Image-Text Alignments 期刊论文
IEEE Transactions on Image Processing, 2020, 卷号: 29, 期号: 1, 页码: 15
作者:  Niu, Kai;  Huang, Yan;  Ouyang, Wanli;  Wang, Liang
浏览  |  Adobe PDF(5193Kb)  |  收藏  |  浏览/下载：178/64  |  提交时间：2020/10/09
Description-based person re-identification  Multi-granularity image-text alignments  Step training strategy  
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：770/290  |  提交时间：2017/06/19
Deep Learning  Recurrent Neural Networks  3d Convolution  Video Super-resolution  
Conditional High-Order Boltzmann Machines for Supervised Relation Learning 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2017, 卷号: 26, 期号: 9, 页码: 4297-4310
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang;  Tan, Tieniu
浏览  |  Adobe PDF(4175Kb)  |  收藏  |  浏览/下载：435/156  |  提交时间：2017/06/19
Deep Learning  High-order Boltzmann Machine  Relation Learning  Face Verification  Action Similarity Labeling  
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：1111/602  |  提交时间：2017/05/05
Deep Learning  Cnn  Human Identification  Gait  Cross-view  
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：405/128  |  提交时间：2016/10/20
Representation Learning  Video Analysis  Restricted Boltzmann Machine  Sparse Bayesian Learning  
Bidirectional Recurrent Convolutional Networks for Multi-Frame Super-Resolution 会议论文
Advances in Neural Information Processing Systems 28 (NIPS 2015), Montreal, Canada, 2015-12
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang
Adobe PDF(1219Kb)  |  收藏  |  浏览/下载：680/283  |  提交时间：2016/04/13
Conditional High-order Boltzmann Machine: A Supervised Learning Model for Relation Learning 会议论文
2015 IEEE International Conference on Computer Vision (ICCV), Santiago, Chile, 2015-12
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang
Adobe PDF(619Kb)  |  收藏  |  浏览/下载：268/55  |  提交时间：2016/04/13
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：347/119  |  提交时间：2016/01/18
Album Classification  Deep Learning  Gait Recognition  Image Set  
Unconstrained Multimodal Multi-Label Learning 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2015, 卷号: 17, 期号: 11, 页码: 1923-1935
作者:  Huang, Yan;  Wang, Wei;  Wang, Liang
浏览  |  Adobe PDF(3011Kb)  |  收藏  |  浏览/下载：482/210  |  提交时间：2016/01/18
Multi-label Learning  Multi-task Learning  Multimodal Learning  Restricted Boltzmann Machine  
SCENE TEXT RECOGNITION WITH DEEPER CONVOLUTIONAL NEURAL NETWORKS 会议论文
2015 IEEE International Conference on Image Processing (ICIP), Quebec City, QC, 2015-9
作者:  Zhang, Yuqi;  Wang, Wei;  Wang, Liang;  Wang, Liuan
Adobe PDF(1122Kb)  |  收藏  |  浏览/下载：265/82  |  提交时间：2016/04/13