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Pedestrian analysis plays a vital role in intelligent video surveillance and is a key component for security-centric computer vision systems.
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Personnet: person re-identification with deep convolutional neural networks
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L. Zheng, L. Shen, L. Tian, S. Wang, J. Wang, and Q. Tian · 2015
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D. Chen, Z. Yuan, B. Chen, and N. Zheng · 2016
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Person re-identification by multi-channel parts-based cnn with improved triplet loss function
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A richly annotated dataset for pedestrian attribute recognition
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L. Wu, C. Shen, and A. v. d. Hengel · 2016
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Learning deep feature representations with domain guided dropout for person re-identification
T. Xiao, H. Li, W. Ouyang, and X. Wang · 2016
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Learning a discriminative null space for person re-identification
L. Zhang, T. Xiang, and S. Gong · 2016
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Person search with natural language description
S. Li, T. Xiao, H. Li, B. Zhou, D. Yue, and X. Wang · 2017
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Joint detection and identification feature learning for person search
T. Xiao, S. Li, B. Wang, L. Lin, and X. Wang · 2017
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