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A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios.

, , , и . IEEE Trans. Image Process., 28 (4): 1575-1590 (2019)

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Li Li

Li Li

Li Li

Li Li

Li Li

 

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Exploring Visual-Audio Composition Alignment Network for Quality Fashion Retrieval in Video., , , , , , , и . ICASSP, стр. 8178-8182. IEEE, (2021)Deeply Exploit Visual and Language Information for Social Media Popularity Prediction., , , , , и . ACM Multimedia, стр. 7045-7049. ACM, (2022)Bottom-Up Foreground-Aware Feature Fusion for Person Search., , , и . ACM Multimedia, стр. 3404-3412. ACM, (2020)Unsupervised Cross-Domain Person Re-Identification: A New Framework., , , , и . ICIP, стр. 1222-1226. IEEE, (2019)A Richly Annotated Pedestrian Dataset for Person Retrieval in Real Surveillance Scenarios., , , и . IEEE Trans. Image Process., 28 (4): 1575-1590 (2019)Design and experiment of vibratory harvesting mechanism for Chinese hickory nuts based on orthogonal eccentric masses., , , , , и . Comput. Electron. Agric., (2019)Adversarially Occluded Samples for Person Re-Identification., , , , и . CVPR, стр. 5098-5107. Computer Vision Foundation / IEEE Computer Society, (2018)Deep Video Understanding with a Unified Multi-Modal Retrieval Framework., , , , , и . ACM Multimedia, стр. 7055-7059. ACM, (2022)Learning Deep Context-Aware Features over Body and Latent Parts for Person Re-identification., , , и . CVPR, стр. 7398-7407. IEEE Computer Society, (2017)Multi-attribute learning for pedestrian attribute recognition in surveillance scenarios., , и . ACPR, стр. 111-115. IEEE, (2015)