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One for More: Selecting Generalizable Samples for Generalizable ReID Model.

E. Zhang, X. Jiang, H. Cheng, A. Wu, F. Yu, K. Li, X. Guo, F. Zheng, W. Zheng, и X. Sun. AAAI, стр. 3324-3332. AAAI Press, (2021)

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Jinglan Wu

Recovery of citric acid from fermentation broth using simulated moving bed technology: = Reinigung von Zitronensäure aus Fermentationslösung durch kontinuierliche ChromatographieJ. Wu. Uni Erlangen-Nürnberg, (2009)

Jinjin Wu

Yinghua Wu

Changzhu Wu

Haiyan Wu

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Distilled Camera-Aware Self Training for Semi-Supervised Person Re-Identification.A. Wu, W. Zheng, и J. Lai. IEEE Access, (2019)Unsupervised Person Re-identification by Deep Asymmetric Metric Embedding.H. Yu, A. Wu, и W. Zheng. CoRR, (2019)RGB-IR Person Re-identification by Cross-Modality Similarity Preservation.A. Wu, W. Zheng, S. Gong, и J. Lai. Int. J. Comput. Vis., 128 (6): 1765-1785 (2020)Distilled Person Re-Identification: Towards a More Scalable System.A. Wu, W. Zheng, X. Guo, и J. Lai. CVPR, стр. 1187-1196. Computer Vision Foundation / IEEE, (2019)Factorized Diffusion Autoencoder for Unsupervised Disentangled Representation Learning.A. Wu, и W. Zheng. AAAI, стр. 5930-5939. AAAI Press, (2024)Joint Bilateral-Resolution Identity Modeling for Cross-Resolution Person Re-Identification.W. Zheng, J. Hong, J. Jiao, A. Wu, X. Zhu, S. Gong, J. Qin, и J. Lai. Int. J. Comput. Vis., 130 (1): 136-156 (2022)Correlation Based Identity Filter: An Efficient Framework for Person Search.W. Li, Y. Mao, A. Wu, и W. Zheng. ICIG (1), том 10666 из Lecture Notes in Computer Science, стр. 250-261. Springer, (2017)Lifelong Person Re-identification by Pseudo Task Knowledge Preservation.W. Ge, J. Du, A. Wu, Y. Xian, K. Yan, F. Huang, и W. Zheng. AAAI, стр. 688-696. AAAI Press, (2022)One for More: Selecting Generalizable Samples for Generalizable ReID Model.E. Zhang, X. Jiang, H. Cheng, A. Wu, F. Yu, K. Li, X. Guo, F. Zheng, W. Zheng, и X. Sun. AAAI, стр. 3324-3332. AAAI Press, (2021)Fine-Grained Shape-Appearance Mutual Learning for Cloth-Changing Person Re-Identification.P. Hong, T. Wu, A. Wu, X. Han, и W. Zheng. CVPR, стр. 10513-10522. Computer Vision Foundation / IEEE, (2021)

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