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GLAD: Global-Local- Alignment Descriptor for Pedestrian Retrieval. Proceedings of the 25th ACM international conference on Multimedia."},{"key":"e_1_3_2_1_38_1","volume-title":"Proceedings of the IEEE international confer- ence on computer vision, 5380--5389","author":"Wu A.","unstructured":"Wu, A.; Zheng, W.-S.; Yu, H.-X.; Gong, S.; and Lai, J. 2017. RGB-infrared cross- modality person re-identification. In Proceedings of the IEEE international confer- ence on computer vision, 5380--5389."},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Wu C.; Ge W.; Wu A.; and Chang X. 2022. 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