Person Re-identification
Person Re-Identification is a metric learning task that involves matching images or video sequences of the same individual across non-overlapping camera views by learning discriminative visual representations that preserve identity similarity.
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205.4K
Citations
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934
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2017–2026
1.8K
2.1K
Scalable Person Re-identification: A Benchmark
Liang Zheng, Liyue Shen, Lu Tian et al. · 2015 · 4.6K citations
Random Erasing Data Augmentation
Zhun Zhong, Liang Zheng, Guoliang Kang et al. · Proceedings of the AAAI Conference on Artificial Intelligence · 2020 · 2.9K citations · Full text
DeepReID: Deep Filter Pairing Neural Network for Person Re-identification
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Chinese Academy of Sciences
Beijing, China
58 h-index
374 publications
46.2K citations
University of Technology Sydney
Sydney, Australia
53 h-index
181 publications
52.5K citations

Sun Yat-sen University
Guangzhou, China
52 h-index
302 publications
35K citations

Peking University
Beijing, China
49 h-index
240 publications
31.4K citations
University of Chinese Academy of Sciences
Beijing, China
46 h-index
256 publications
35.5K citations
Queen Mary University of London
London, United Kingdom
45 h-index
123 publications
25.8K citations
University of Science and Technology of China
Hefei, China
41 h-index
215 publications
20.8K citations
Peng Cheng Laboratory
Shenzhen, China
39 h-index
89 publications
8.3K citations
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116 publications · 10.6K citations
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Repository · 239 publications · 15.6K citations
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96 publications · 6.2K citations
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Conference · 85 publications · 10.4K citations
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92 publications · 6K citations
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