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CASIA OpenIR
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Learning Domain Invariant Representations for Generalizable Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2023, 卷号: 32, 页码: 509-523
作者:  Zhang, Yi-Fan;  Zhang, Zhang;  Li, Da;  Jia, Zhen;  Wang, Liang;  Tan, Tieniu
收藏  |  浏览/下载：210/0  |  提交时间：2023/03/20
Generalizable person re-Identification  disentanglement  backdoor adjustment  
Deep Graph Metric Learning for Weakly Supervised Person Re-Identification 期刊论文
IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE, 2022, 卷号: 44, 期号: 10, 页码: 6074-6093
作者:  Meng, Jingke;  Zheng, Wei-Shi;  Lai, Jian-Huang;  Wang, Liang
收藏  |  浏览/下载：177/0  |  提交时间：2022/11/14
Training  Cameras  Labeling  Probes  Visualization  Annotations  Loss measurement  Person re-identification  weakly supervised person re-identification  visual surveillance  
Incremental Generative Occlusion Adversarial Suppression Network for Person ReID 期刊论文
IEEE TRANSACTIONS ON IMAGE PROCESSING, 2021, 卷号: 30, 页码: 4212-4224
作者:  Zhao, Cairong;  Lv, Xinbi;  Dou, Shuguang;  Zhang, Shanshan;  Wu, Jun;  Wang, Liang
收藏  |  浏览/下载：217/0  |  提交时间：2021/06/07
Feature extraction  Training  Image reconstruction  Body regions  Training data  Cameras  Two dimensional displays  Batch-based incremental occlusion  occlusion suppression  occluded person re-identification  
Adaptive super -resolution for person re-identification with low-resolution images 期刊论文
PATTERN RECOGNITION, 2020, 卷号: 114, 页码: 107682
作者:  Han, Ke;  Huang, Yan;  Song, Chunfeng;  Wang, Liang;  Tan, Tieniu
Adobe PDF(2944Kb)  |  收藏  |  浏览/下载：325/37  |  提交时间：2021/05/06
Person re-identification  Super-resolution  Body regions  Adaptive feature integration  
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
Adobe PDF(5193Kb)  |  收藏  |  浏览/下载：183/65  |  提交时间：2020/10/09
Description-based person re-identification  Multi-granularity image-text alignments  Step training strategy