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Appl."],"published-print":{"date-parts":[[2025,9,30]]},"abstract":"<jats:p>The objective of visible-infrared person re-identification is to accurately match pedestrian images captured in different modalities. Since these images are taken from varying viewpoints by different cameras, the cross-modal detection task must address both modality discrepancies and camera variations. Many existing approaches primarily focus on minimizing inter-modality differences to enhance retrieval accuracy, often overlooking the impact of camera viewpoint differences. To tackle these challenges, this article introduces a hierarchical feature decoupling network. First, the network decouples and extracts camera-related and camera-irrelated features separately to mitigate the effects of camera variations. Second, it addresses modality differences by extracting modality-independent features. Additionally, an adversarial decoupling loss is employed to further disentangle identity-irrelevant information from identity-relevant features, thereby boosting the system\u2019s accuracy and robustness. Extensive experiments conducted on the SYSU-MM01 and RegDB datasets validate the effectiveness of the proposed method.<\/jats:p>","DOI":"10.1145\/3749843","type":"journal-article","created":{"date-parts":[[2025,7,22]],"date-time":"2025-07-22T22:20:26Z","timestamp":1753222826000},"page":"1-16","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":4,"title":["Visible-Infrared Person Re-Identification Based on Feature Decoupling and Refinement"],"prefix":"10.1145","volume":"21","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-8205-0487","authenticated-orcid":false,"given":"Hao","family":"Ding","sequence":"first","affiliation":[{"name":"South-Central Minzu University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5783-8133","authenticated-orcid":false,"given":"Jing","family":"Sun","sequence":"additional","affiliation":[{"name":"Shenzhen Institute of Advanced Technology Chinese Academy of Sciences, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0002-9731-1034","authenticated-orcid":false,"given":"Rui","family":"Long","sequence":"additional","affiliation":[{"name":"South-Central Minzu University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-8712-1002","authenticated-orcid":false,"given":"Xiaoping","family":"Jiang","sequence":"additional","affiliation":[{"name":"South-Central Minzu University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-1309-3934","authenticated-orcid":false,"given":"Hongling","family":"Shi","sequence":"additional","affiliation":[{"name":"South-Central Minzu University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0006-8276-4929","authenticated-orcid":false,"given":"Yuting","family":"Qin","sequence":"additional","affiliation":[{"name":"South-Central Minzu University, Wuhan, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0009-0001-4513-7276","authenticated-orcid":false,"given":"Zongze","family":"Li","sequence":"additional","affiliation":[{"name":"Beidou Intelligent Technology (Shenzhen) Company Limited, Shenzhen, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-0291-9697","authenticated-orcid":false,"given":"Jian-Jin","family":"Li","sequence":"additional","affiliation":[{"name":"Universit\u00e9 Clermont Auvergne, Clermont-Ferrand, France"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2025,9,10]]},"reference":[{"key":"e_1_3_1_2_2","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3141868"},{"key":"e_1_3_1_3_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2017.145"},{"key":"e_1_3_1_4_2","doi-asserted-by":"publisher","DOI":"10.1145\/3595183"},{"key":"e_1_3_1_5_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00065"},{"key":"e_1_3_1_6_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2016.149"},{"key":"e_1_3_1_7_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01027"},{"key":"e_1_3_1_8_2","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02179"},{"key":"e_1_3_1_9_2","first-page":"1180","volume-title":"International Conference on Machine Learning","author":"Lempitsky V.","year":"2015","unstructured":"V. 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