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Improving Domain-adaptive Person Re-identification by Dual-alignment Learning with Camera-aware Image Generation 期刊论文
IEEE Transactions on Circuits and Systems for Video Technology, 2021, 卷号: 31, 期号: 11, 页码: 4334 - 4346
作者:  Chenyang Zhang;  Yongqiang Tang;  Zhizhong Zhang;  Ding Li;  Xuebing Yang;  Wensheng Zhang
Adobe PDF(2538Kb)  |  收藏  |  浏览/下载：342/83  |  提交时间：2021/06/23
Person Re-identification  Convolutional Neural Networks  Generative Adversarial Networks  Mutual Information  
Tensor Multi-Task Learning for Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2020, 卷号: 29, 期号: 1, 页码: 2463-2477
作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tang, Yongqiang;  Tian, Qi
Adobe PDF(1444Kb)  |  收藏  |  浏览/下载：355/60  |  提交时间：2020/03/30
Cameras  Task analysis  Measurement  Visualization  Training  Computational modeling  Person re-identification  multi-task learning  tensor optimization  
Effective Image Retrieval via Multilinear Multi-Index Fusion 期刊论文
IEEE TRANSACTIONS ON MULTIMEDIA, 2019, 卷号: 21, 期号: 11, 页码: 2878-2890
作者:  Zhang, Zhizhong;  Xie, Yuan;  Zhang, Wensheng;  Tian, Qi
Adobe PDF(1024Kb)  |  收藏  |  浏览/下载：414/101  |  提交时间：2020/03/30
Visualization  Image representation  Optimization  Buildings  Indexing  Image retrieval  multi-index fusion  tensor multi-rank  person re-identification  
Multi-task Character-Level Attentional Networks for Medical Concept Normalization 期刊论文
NEURAL PROCESSING LETTERS, 2019, 卷号: 49, 期号: 3, 页码: 1239-1256
作者:  Niu, Jinghao;  Yang, Yehui;  Zhang, Siheng;  Sun, Zhengya;  Zhang, Wensheng
Adobe PDF(756Kb)  |  收藏  |  浏览/下载：419/85  |  提交时间：2019/12/16
Convolutional neural network  Multi-task learning  Medical concept normalization  
Re-KISSME: A robust resampling scheme for distance metric learning in the presence of label noise 期刊论文
NEUROCOMPUTING, 2019, 卷号: 330, 期号: 22, 页码: 138-150
作者:  Zeng, Fanxia;  Zhang, Wensheng;  Zhang, Siheng;  Zheng, Nan
Adobe PDF(917Kb)  |  收藏  |  浏览/下载：397/60  |  提交时间：2019/07/12
Resampling scheme  KISSME  Distance metric learning  Label noise