CASIA OpenIR
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Second-Order Global Attention Networks for Graph Classification and Regression 会议论文
, Beijing, China, August 27-28, 2022
作者:  Hu Fenyu;  Cui Zeyu;  Wu Shu;  Liu Qiang;  Wu Jinlin;  Wang Liang;  Tan Tieniu
Adobe PDF(69424Kb)  |  收藏  |  浏览/下载:187/69  |  提交时间:2023/07/06
Rethinking the Heatmap Regression for Bottom-up Human Pose Estimation 会议论文
, 美国纳什维尔, 2021-6
作者:  Luo, Zhengxiong;  Wang, Zhicheng;  Huang, Yan;  Wang, Liang;  Tan, Tieniu;  Zhou, Erjin
Adobe PDF(2163Kb)  |  收藏  |  浏览/下载:109/45  |  提交时间:2023/06/09
Learning a bi-level adversarial network with global and local perception for makeup-invariant face verification 期刊论文
Pattern Recognition, 2019, 卷号: 90, 期号: -, 页码: 99-108
作者:  Li, Yi;  Song, Lingxiao;  Wu, Xiang;  He, Ran;  Tan, Tieniu
浏览  |  Adobe PDF(2555Kb)  |  收藏  |  浏览/下载:224/65  |  提交时间:2020/06/10
Face verification  Makeup-invariant  Generative adversarial network  
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:441/159  |  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:1126/606  |  提交时间:2017/05/05
Deep Learning  Cnn  Human Identification  Gait  Cross-view  
Representative Vector Machines: A Unified Framework for Classical Classifiers 期刊论文
IEEE TRANSACTIONS ON CYBERNETICS, 2016, 卷号: 46, 期号: 8, 页码: 1877-1888
作者:  Gui, Jie;  Liu, Tongliang;  Tao, Dacheng;  Sun, Zhenan;  Tan, Tieniu
浏览  |  Adobe PDF(1081Kb)  |  收藏  |  浏览/下载:423/101  |  提交时间:2016/10/20
Discriminant Vector Machine (Dvm)  Pattern Classification  Representative Vector Machines (Rvms)  Sparse Representation  Support Vector Machines (Svms)