{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,10,13]],"date-time":"2026-10-13T17:03:15Z","timestamp":1791910995300,"version":"4.3.4"},"publisher-location":"New York, NY, USA","reference-count":67,"publisher":"ACM","license":[{"start":{"date-parts":[[2024,10,28]],"date-time":"2024-10-28T00:00:00Z","timestamp":1730073600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2024,10,28]]},"DOI":"10.1145\/3664647.3680951","type":"proceedings-article","created":{"date-parts":[[2024,10,26]],"date-time":"2024-10-26T02:59:41Z","timestamp":1729911581000},"page":"2242-2251","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":31,"title":["Robust Pseudo-label Learning with Neighbor Relation for Unsupervised Visible-Infrared Person Re-Identification"],"prefix":"10.1145","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8599-909X","authenticated-orcid":false,"given":"Xiangbo","family":"Yin","sequence":"first","affiliation":[{"name":"School of Informatics, Xiamen University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3817-0497","authenticated-orcid":false,"given":"Jiangming","family":"Shi","sequence":"additional","affiliation":[{"name":"Institute of Artificial Intelligence, Xiamen University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-6153-5004","authenticated-orcid":false,"given":"Yachao","family":"Zhang","sequence":"additional","affiliation":[{"name":"Tsinghua Shenzhen International Graduate School, Tsinghua University, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-3497-9611","authenticated-orcid":false,"given":"Yang","family":"Lu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6905-4478","authenticated-orcid":false,"given":"Zhizhong","family":"Zhang","sequence":"additional","affiliation":[{"name":"School of Computer Science and Technology, East China Normal University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0001-6945-7437","authenticated-orcid":false,"given":"Yuan","family":"Xie","sequence":"additional","affiliation":[{"name":"East China Normal University &amp; Chongqing Institute of East China Normal University, Shanghai, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8926-4162","authenticated-orcid":false,"given":"Yanyun","family":"Qu","sequence":"additional","affiliation":[{"name":"Key Laboratory of Multimedia Trusted Perception and Efficient Computing, Ministry of Education of China, Xiamen University, Xiamen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2024,10,28]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"crossref","unstructured":"Mahdi Alehdaghi Arthur Josi Rafael M. O. Cruz and Eric Granger. 2022. Visible-Infrared Person Re-Identification Using Privileged Intermediate Information. In ECCV. 720--737.","DOI":"10.1007\/978-3-031-25072-9_48"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"crossref","unstructured":"Xinlei Chen and Abhinav Gupta. 2015. Webly supervised learning of convolutional networks. In ICCV. 1431--1439.","DOI":"10.1109\/ICCV.2015.168"},{"key":"e_1_3_2_1_3_1","doi-asserted-by":"crossref","unstructured":"Zhong Chen Zhizhong Zhang Xin Tan Yanyun Qu and Yuan Xie. 2023. Unveiling the Power of CLIP in Unsupervised Visible-Infrared Person Re-Identification. In ACM MM. 3667--3675.","DOI":"10.1145\/3581783.3612050"},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"De Cheng Xiaojian Huang Nannan Wang Lingfeng He Zhihui Li and Xinbo Gao. 2023. Unsupervised Visible-Infrared Person ReID by Collaborative Learning with Neighbor-Guided Label Refinement. (2023).","DOI":"10.1145\/3581783.3612077"},{"key":"e_1_3_2_1_5_1","volume-title":"Neighbour consistency guided pseudo-label refinement for unsupervised person re-identification. arXiv preprint arXiv:2211.16847","author":"Cheng De","year":"2022","unstructured":"De Cheng, Haichun Tai, Nannan Wang, Zhen Wang, and Xinbo Gao. 2022. Neighbour consistency guided pseudo-label refinement for unsupervised person re-identification. arXiv preprint arXiv:2211.16847 (2022)."},{"key":"e_1_3_2_1_6_1","volume-title":"Seunghoon Hong, and Sung-Eui Yoon.","author":"Cho Yoonki","year":"2022","unstructured":"Yoonki Cho, Woo Jae Kim, Seunghoon Hong, and Sung-Eui Yoon. 2022. Part-based Pseudo Label Refinement for Unsupervised Person Re-identification. In CVPR. 7298--7308."},{"key":"e_1_3_2_1_7_1","first-page":"2292","article-title":"Lightspeed computation of optimal transportation distances","volume":"26","author":"Cuturi M","year":"2013","unstructured":"M Cuturi. 2013. Lightspeed computation of optimal transportation distances. Advances in Neural Information Processing Systems, Vol. 26, 2 (2013), 2292--2300.","journal-title":"Advances in Neural Information Processing Systems"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"crossref","unstructured":"Zuozhuo Dai Guangyuan Wang Weihao Yuan Siyu Zhu and Ping Tan. 2022. Cluster Contrast for Unsupervised Person Re-identification. In ACCV. 319--337.","DOI":"10.1007\/978-3-031-26351-4_20"},{"key":"e_1_3_2_1_9_1","doi-asserted-by":"publisher","DOI":"10.1016\/j.inffus.2023.102201"},{"key":"e_1_3_2_1_10_1","volume-title":"transforming, and noising defense network for occluded person re-identification","author":"Dong Neng","year":"2023","unstructured":"Neng Dong, Liyan Zhang, Shuanglin Yan, Hao Tang, and Jinhui Tang. 2023. Erasing, transforming, and noising defense network for occluded person re-identification. IEEE Transactions on Circuits and Systems for Video Technology (2023)."},{"key":"e_1_3_2_1_11_1","unstructured":"Martin Ester Hans-Peter Kriegel J\u00f6rg Sander and Xiaowei Xu. 1996. A Density-Based Algorithm for Discovering Clusters in Large Spatial Databases with Noise. In KDD. 226--231."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Xingye Fang Yang Yang and Ying Fu. 2023. Visible-Infrared Person Re-Identification via Semantic Alignment and Affinity Inference. In ICCV. 11270--11279.","DOI":"10.1109\/ICCV51070.2023.01035"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Jiawei Feng Ancong Wu and Wei-Shi Zheng. 2023. Shape-Erased Feature Learning for Visible-Infrared Person Re-Identification. In CVPR. 22752--22761.","DOI":"10.1109\/CVPR52729.2023.02179"},{"key":"e_1_3_2_1_14_1","unstructured":"Yixiao Ge Dapeng Chen and Hongsheng Li. 2020. Mutual Mean-Teaching: Pseudo Label Refinery for Unsupervised Domain Adaptation on Person Re-identification. In ICLR."},{"key":"e_1_3_2_1_15_1","volume-title":"Co-teaching: Robust training of deep neural networks with extremely noisy labels. Advances in neural information processing systems","author":"Han Bo","year":"2018","unstructured":"Bo Han, Quanming Yao, Xingrui Yu, Gang Niu, Miao Xu, Weihua Hu, Ivor Tsang, and Masashi Sugiyama. 2018. Co-teaching: Robust training of deep neural networks with extremely noisy labels. Advances in neural information processing systems, Vol. 31 (2018)."},{"key":"e_1_3_2_1_16_1","unstructured":"Jiangfan Han Ping Luo and Xiaogang Wang. 2019. Deep self-learning from noisy labels. In ICCV. 5138--5147."},{"key":"e_1_3_2_1_17_1","unstructured":"Lingfeng He Nannan Wang Shizhou Zhang Zhen Wang Xinbo Gao et al. 2023. Efficient Bilateral Cross-Modality Cluster Matching for Unsupervised Visible-Infrared Person ReID. (2023)."},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"crossref","unstructured":"Minsu Kim Seungryong Kim Jungin Park Seongheon Park and Kwanghoon Sohn. 2023. PartMix: Regularization Strategy to Learn Part Discovery for Visible-Infrared Person Re-Identification. In CVPR. 18621--18632.","DOI":"10.1109\/CVPR52729.2023.01786"},{"key":"e_1_3_2_1_19_1","unstructured":"Sungyeon Kim Dongwon Kim Minsu Cho and Suha Kwak. 2021. Embedding transfer with label relaxation for improved metric learning. In CVPR. 3967--3976."},{"key":"e_1_3_2_1_20_1","volume-title":"Weperson: Learning a generalized re-identification model from all-weather virtual data. In ACMMM. 3115--3123.","author":"Li He","year":"2021","unstructured":"He Li, Mang Ye, and Bo Du. 2021. Weperson: Learning a generalized re-identification model from all-weather virtual data. In ACMMM. 3115--3123."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"crossref","unstructured":"He Li Mang Ye Ming Zhang and Bo Du. 2024. All in One Framework for Multimodal Re-identification in the Wild. In CVPR. 17459--17469.","DOI":"10.1109\/CVPR52733.2024.01653"},{"key":"e_1_3_2_1_22_1","doi-asserted-by":"crossref","unstructured":"Jichang Li Guanbin Li Feng Liu and Yizhou Yu. 2022. Neighborhood collective estimation for noisy label identification and correction. In ECCV. 128--145.","DOI":"10.1007\/978-3-031-20053-3_8"},{"key":"e_1_3_2_1_23_1","volume-title":"Dividemix: Learning with noisy labels as semi-supervised learning. arXiv preprint arXiv:2002.07394","author":"Li Junnan","year":"2020","unstructured":"Junnan Li, Richard Socher, and Steven CH Hoi. 2020. Dividemix: Learning with noisy labels as semi-supervised learning. arXiv preprint arXiv:2002.07394 (2020)."},{"key":"e_1_3_2_1_24_1","volume-title":"Logical relation inference and multiview information interaction for domain adaptation person re-identification","author":"Li Shuang","year":"2023","unstructured":"Shuang Li, Fan Li, Jinxing Li, Huafeng Li, Bob Zhang, Dapeng Tao, and Xinbo Gao. 2023. Logical relation inference and multiview information interaction for domain adaptation person re-identification. IEEE Transactions on Neural Networks and Learning Systems (2023)."},{"key":"e_1_3_2_1_25_1","volume-title":"Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection. arXiv preprint arXiv:2402.11242","author":"Liu Huafeng","year":"2024","unstructured":"Huafeng Liu, Mengmeng Sheng, Zeren Sun, Yazhou Yao, Xian-Sheng Hua, and Heng-Tao Shen. 2024. Learning with Imbalanced Noisy Data by Preventing Bias in Sample Selection. arXiv preprint arXiv:2402.11242 (2024)."},{"key":"e_1_3_2_1_26_1","doi-asserted-by":"publisher","DOI":"10.3390\/s17030605"},{"key":"e_1_3_2_1_27_1","volume-title":"Cross-modality Hierarchical Clustering and Refinement for Unsupervised Visible-Infrared Person Re-Identification","author":"Pang Zhiqi","year":"2023","unstructured":"Zhiqi Pang, Chunyu Wang, Lingling Zhao, Yang Liu, and Gaurav Sharma. 2023. Cross-modality Hierarchical Clustering and Refinement for Unsupervised Visible-Infrared Person Re-Identification. IEEE Transactions on Circuits and Systems for Video Technology (2023)."},{"key":"e_1_3_2_1_28_1","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2024.3408831"},{"key":"e_1_3_2_1_29_1","volume-title":"Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification. arXiv preprint arXiv:2401.06825","author":"Shi Jiangming","year":"2024","unstructured":"Jiangming Shi, Xiangbo Yin, Yeyun Chen, Yachao Zhang, Zhizhong Zhang, Yuan Xie, and Yanyun Qu. 2024. Multi-Memory Matching for Unsupervised Visible-Infrared Person Re-Identification. arXiv preprint arXiv:2401.06825 (2024)."},{"key":"e_1_3_2_1_30_1","volume-title":"Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification. arXiv preprint arXiv:2402.19026","author":"Shi Jiangming","year":"2024","unstructured":"Jiangming Shi, Xiangbo Yin, Yaoxing Wang, Xiaofeng Liu, Yuan Xie, and Yanyun Qu. 2024. Learning Commonality, Divergence and Variety for Unsupervised Visible-Infrared Person Re-identification. arXiv preprint arXiv:2402.19026 (2024)."},{"key":"e_1_3_2_1_31_1","volume-title":"Visible Embraces Infrared: Cross-Modality Person Re-Identification with Single-Modality Supervision. In 2023 China Automation Congress (CAC). 4781--4787","author":"Shi Jiangming","year":"2023","unstructured":"Jiangming Shi, Xiangbo Yin, Demao Zhang, and Yanyun Qu. 2023. Visible Embraces Infrared: Cross-Modality Person Re-Identification with Single-Modality Supervision. In 2023 China Automation Congress (CAC). 4781--4787."},{"key":"e_1_3_2_1_32_1","unstructured":"Jiangming Shi Yachao Zhang Xiangbo Yin Yuan Xie Zhizhong Zhang Jianping Fan Zhongchao Shi and Yanyun Qu. 2023. Dual Pseudo-Labels Interactive Self-Training for Semi-Supervised Visible-Infrared Person Re-Identification. In ICCV. 11218--11228."},{"key":"e_1_3_2_1_33_1","volume-title":"Selfie: Refurbishing unclean samples for robust deep learning. In ICML. 5907--5915.","author":"Song Hwanjun","year":"2019","unstructured":"Hwanjun Song, Minseok Kim, and Jae-Gil Lee. 2019. Selfie: Refurbishing unclean samples for robust deep learning. In ICML. 5907--5915."},{"key":"e_1_3_2_1_34_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2024.3354377"},{"key":"e_1_3_2_1_35_1","doi-asserted-by":"crossref","unstructured":"Zeren Sun Xian-Sheng Hua Yazhou Yao Xiu-Shen Wei Guosheng Hu and Jian Zhang. 2020. Crssc: salvage reusable samples from noisy data for robust learning. In MM. 92--101.","DOI":"10.1145\/3394171.3413978"},{"key":"e_1_3_2_1_36_1","doi-asserted-by":"crossref","unstructured":"Lei Tan Jiaer Xia Wenfeng Liu Pingyang Dai Yongjian Wu and Liujuan Cao. 2024. Occluded Person Re-identification via Saliency-Guided Patch Transfer. In AAAI. 5070--5078.","DOI":"10.1609\/aaai.v38i5.28312"},{"key":"e_1_3_2_1_37_1","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52733.2024.01621"},{"key":"e_1_3_2_1_38_1","doi-asserted-by":"crossref","unstructured":"Daiki Tanaka Daiki Ikami Toshihiko Yamasaki and Kiyoharu Aizawa. 2018. Joint optimization framework for learning with noisy labels. In CVPR. 5552--5560.","DOI":"10.1109\/CVPR.2018.00582"},{"key":"e_1_3_2_1_39_1","doi-asserted-by":"crossref","unstructured":"Jiangming Wang Zhizhong Zhang Mingang Chen Yi Zhang Cong Wang Bin Sheng Yanyun Qu and Yuan Xie. 2022. Optimal Transport for Label-Efficient Visible-Infrared Person Re-Identification. In ECCV. 93--109.","DOI":"10.1007\/978-3-031-20053-3_6"},{"key":"e_1_3_2_1_40_1","doi-asserted-by":"crossref","unstructured":"Menglin Wang Baisheng Lai Jianqiang Huang Xiaojin Gong and Xian-Sheng Hua. 2021. Camera-Aware Proxies for Unsupervised Person Re-Identification. In AAAI. 2764--2772.","DOI":"10.1609\/aaai.v35i4.16381"},{"key":"e_1_3_2_1_41_1","doi-asserted-by":"crossref","unstructured":"Yuhao Wang Xuehu Liu Pingping Zhang Hu Lu Zhengzheng Tu and Huchuan Lu. 2024. TOP-ReID: Multi-spectral Object Re-Identification with Token Permutation. In AAAI. 5758--5766.","DOI":"10.1609\/aaai.v38i6.28388"},{"key":"e_1_3_2_1_42_1","unstructured":"Hongxin Wei Lei Feng Xiangyu Chen and Bo An. 2020. Combating noisy labels by agreement: A joint training method with co-regularization. In CVPR. 13726--13735."},{"key":"e_1_3_2_1_43_1","unstructured":"Ancong Wu Wei-Shi Zheng Hong-Xing Yu Shaogang Gong and Jianhuang Lai. 2017. RGB-Infrared Cross-Modality Person Re-identification. In ICCV. 5390--5399."},{"key":"e_1_3_2_1_44_1","doi-asserted-by":"crossref","unstructured":"Yuhang Wu Tengteng Huang Haotian Yao Chi Zhang Yuanjie Shao Chuchu Han Changxin Gao and Nong Sang. 2022. Multi-Centroid Representation Network for Domain Adaptive Person Re-ID. In AAAI. 2750--2758.","DOI":"10.1609\/aaai.v36i3.20178"},{"key":"e_1_3_2_1_45_1","doi-asserted-by":"crossref","unstructured":"Zesen Wu and Mang Ye. 2023. Unsupervised Visible-Infrared Person Re-Identification via Progressive Graph Matching and Alternate Learning. In CVPR. 9548--9558.","DOI":"10.1109\/CVPR52729.2023.00921"},{"key":"e_1_3_2_1_46_1","volume-title":"Dual Consistency-Constrained Learning for Unsupervised Visible-Infrared Person Re-Identification","author":"Yang Bin","year":"2023","unstructured":"Bin Yang, Jun Chen, Cuiqun Chen, and Mang Ye. 2023. Dual Consistency-Constrained Learning for Unsupervised Visible-Infrared Person Re-Identification. IEEE Transactions on Information Forensics and Security (2023)."},{"key":"e_1_3_2_1_47_1","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3310338"},{"key":"e_1_3_2_1_48_1","doi-asserted-by":"crossref","unstructured":"Bin Yang Jun Chen and Mang Ye. 2023. Top-k visual tokens transformer: Selecting tokens for visible-infrared person re-identification. In ICASSP. 1--5.","DOI":"10.1109\/ICASSP49357.2023.10097170"},{"key":"e_1_3_2_1_49_1","doi-asserted-by":"crossref","unstructured":"Bin Yang Jun Chen and Mang Ye. 2023. Towards Grand Unified Representation Learning for Unsupervised Visible-Infrared Person Re-Identification. In ICCV. 11069--11079.","DOI":"10.1109\/ICCV51070.2023.01016"},{"key":"e_1_3_2_1_50_1","doi-asserted-by":"crossref","unstructured":"Bin Yang Jun Chen and Mang Ye. 2024. Shallow-Deep Collaborative Learning for Unsupervised Visible-Infrared Person Re-Identification. In CVPR. 16870--16879.","DOI":"10.1109\/CVPR52733.2024.01596"},{"key":"e_1_3_2_1_51_1","doi-asserted-by":"crossref","unstructured":"Bin Yang Mang Ye Jun Chen and Zesen Wu. 2022. Augmented Dual-Contrastive Aggregation Learning for Unsupervised Visible-Infrared Person Re-Identification. In ACM MM. 2843--2851.","DOI":"10.1145\/3503161.3548198"},{"key":"e_1_3_2_1_52_1","doi-asserted-by":"crossref","unstructured":"Mouxing Yang Zhenyu Huang Peng Hu Taihao Li Jiancheng Lv and Xi Peng. 2022. Learning with Twin Noisy Labels for Visible-Infrared Person Re-Identification. In CVPR. 14288--14297.","DOI":"10.1109\/CVPR52688.2022.01391"},{"key":"e_1_3_2_1_53_1","doi-asserted-by":"publisher","DOI":"10.1007\/s11263-024-01997-w"},{"key":"e_1_3_2_1_54_1","volume-title":"Robust multi-view clustering with incomplete information","author":"Yang Mouxing","year":"2022","unstructured":"Mouxing Yang, Yunfan Li, Peng Hu, Jinfeng Bai, Jiancheng Lv, and Xi Peng. 2022. Robust multi-view clustering with incomplete information. IEEE Transactions on Pattern Analysis and Machine Intelligence (2022), 1055--1069."},{"key":"e_1_3_2_1_55_1","volume-title":"Jo-src: A contrastive approach for combating noisy labels. In CVPR. 5192--5201.","author":"Yao Yazhou","year":"2021","unstructured":"Yazhou Yao, Zeren Sun, Chuanyi Zhang, Fumin Shen, Qi Wu, Jian Zhang, and Zhenmin Tang. 2021. Jo-src: A contrastive approach for combating noisy labels. In CVPR. 5192--5201."},{"key":"e_1_3_2_1_56_1","doi-asserted-by":"crossref","unstructured":"Mang Ye Weijian Ruan Bo Du and Mike Zheng Shou. 2021. Channel Augmented Joint Learning for Visible-Infrared Recognition. In ICCV. 13547--13556.","DOI":"10.1109\/ICCV48922.2021.01331"},{"key":"e_1_3_2_1_57_1","doi-asserted-by":"crossref","unstructured":"Mang Ye Jianbing Shen David J. Crandall Ling Shao and Jiebo Luo. 2020. Dynamic Dual-Attentive Aggregation Learning for Visible-Infrared Person Re-identification. In ECCV. 229--247.","DOI":"10.1007\/978-3-030-58520-4_14"},{"key":"e_1_3_2_1_58_1","volume-title":"Hoi","author":"Ye Mang","year":"2022","unstructured":"Mang Ye, Jianbing Shen, Gaojie Lin, Tao Xiang, Ling Shao, and Steven C. H. Hoi. 2022. Deep Learning for Person Re-Identification: A Survey and Outlook. IEEE Trans. Pattern Anal. Mach. Intell. (2022), 2872--2893."},{"key":"e_1_3_2_1_59_1","doi-asserted-by":"crossref","unstructured":"Kun Yi and Jianxin Wu. 2019. Probabilistic end-to-end noise correction for learning with noisy labels. In CVPR. 7017--7025.","DOI":"10.1109\/CVPR.2019.00718"},{"key":"e_1_3_2_1_60_1","doi-asserted-by":"crossref","unstructured":"Guiwei Zhang Yongfei Zhang and Zichang Tan. 2023. ProtoHPE: Prototype-guided High-frequency Patch Enhancement for Visible-Infrared Person Re-identification. In MM. 944--954.","DOI":"10.1145\/3581783.3612297"},{"key":"e_1_3_2_1_61_1","doi-asserted-by":"crossref","unstructured":"Pingping Zhang Yuhao Wang Yang Liu Zhengzheng Tu and Huchuan Lu. 2024. Magic tokens: Select diverse tokens for multi-modal object re-identification. In CVPR. 17117--17126.","DOI":"10.1109\/CVPR52733.2024.01620"},{"key":"e_1_3_2_1_62_1","doi-asserted-by":"crossref","unstructured":"Xiao Zhang Yixiao Ge Yu Qiao and Hongsheng Li. 2021. Refining pseudo labels with clustering consensus over generations for unsupervised object re-identification. In CVPR. 3436--3445.","DOI":"10.1109\/CVPR46437.2021.00344"},{"key":"e_1_3_2_1_63_1","volume-title":"Zhaoxiang Zhang, and Jingdong Wang.","author":"Zhang Xinyu","year":"2022","unstructured":"Xinyu Zhang, Dongdong Li, Zhigang Wang, Jian Wang, Errui Ding, Javen Qinfeng Shi, Zhaoxiang Zhang, and Jingdong Wang. 2022. Implicit Sample Extension for Unsupervised Person Re-Identification. In CVPR. 7359--7368."},{"key":"e_1_3_2_1_64_1","doi-asserted-by":"crossref","unstructured":"Yukang Zhang and Hanzi Wang. 2023. Diverse Embedding Expansion Network and Low-Light Cross-Modality Benchmark for Visible-Infrared Person Re-identification. In CVPR. 2153--2162.","DOI":"10.1109\/CVPR52729.2023.00214"},{"key":"e_1_3_2_1_65_1","volume-title":"Learning with feature-dependent label noise: A progressive approach. arXiv preprint arXiv:2103.07756","author":"Zhang Yikai","year":"2021","unstructured":"Yikai Zhang, Songzhu Zheng, Pengxiang Wu, Mayank Goswami, and Chao Chen. 2021. Learning with feature-dependent label noise: A progressive approach. arXiv preprint arXiv:2103.07756 (2021)."},{"key":"e_1_3_2_1_66_1","doi-asserted-by":"crossref","unstructured":"Chang Zou Zeqi Chen Zhichao Cui Yuehu Liu and Chi Zhang. 2023. Discrepant and Multi-Instance Proxies for Unsupervised Person Re-Identification. In ICCV. 11058--11068.","DOI":"10.1109\/ICCV51070.2023.01015"},{"key":"e_1_3_2_1_67_1","doi-asserted-by":"crossref","unstructured":"Jialong Zuo Hanyu Zhou Ying Nie Feng Zhang Tianyu Guo Nong Sang Yunhe Wang and Changxin Gao. 2024. UFineBench: Towards Text-based Person Retrieval with Ultra-fine Granularity. In CVPR. 22010--22019.","DOI":"10.1109\/CVPR52733.2024.02078"}],"event":{"name":"MM '24: The 32nd ACM International Conference on Multimedia","location":"Melbourne VIC Australia","acronym":"MM '24","sponsor":["SIGMM ACM Special Interest Group on Multimedia"]},"container-title":["Proceedings of the 32nd ACM International Conference on Multimedia"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3680951","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/3664647.3680951","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T21:17:34Z","timestamp":1750281454000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/3664647.3680951"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024,10,28]]},"references-count":67,"alternative-id":["10.1145\/3664647.3680951","10.1145\/3664647"],"URL":"https:\/\/doi.org\/10.1145\/3664647.3680951","relation":{},"subject":[],"published":{"date-parts":[[2024,10,28]]},"assertion":[{"value":"2024-10-28","order":3,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}