Robust Visible-infrared Person Re-identification via Frequency-Space Joint Disentanglement and Fusion Network

Robust Visible-infrared Person Re-identification via Frequency-Space Joint Disentanglement and Fusion Network | Research Square window.SnipcartSettings = { analytics: { enabled: false } }; (function() { var accessVector = localStorage.getItem('access_vector') || ''; window.dataLayer = window.dataLayer || []; if (accessVector) { window.dataLayer.push({ user: { profile: { profileInfo: { snid: accessVector } } } }); } })(); (function(w,d,s,l,i){w[l]=w[l]||[];w[l].push({'gtm.start':new Date().getTime(),event:'gtm.js'});var f=d.getElementsByTagName(s)[0],j=d.createElement(s),dl=l!='dataLayer'?'&l='+l:'';j.async=true;j.src='https://www.googletagmanager.com/gtm.js?id='+i+dl;f.parentNode.insertBefore(j,f);})(window,document,'script','dataLayer','GTM-K279D39R'); Browse Preprints In Review Journals COVID-19 Preprints AJE Video Bytes Research Tools Research Promotion AJE Professional Editing AJE Rubriq About Preprint Platform In Review Editorial Policies Our Team Advisory Board Help Center Sign In Submit a Preprint Cite Share Download PDF Research Article Robust Visible-infrared Person Re-identification via Frequency-Space Joint Disentanglement and Fusion Network Rui Sun, Xuebin Wang, Guoxi Huang, Long Chen, Libing Qian, Jun Gao This is a preprint; it has not been peer reviewed by a journal. https://doi.org/ 10.21203/rs.3.rs-5143263/v1 This work is licensed under a CC BY 4.0 License Status: Published Journal Publication published 26 Jun, 2025 Read the published version in International Journal of Machine Learning and Cybernetics → Version 1 posted 9 You are reading this latest preprint version Abstract Visible-Infrared person re-identification holds significant importance in domains like security surveillance and intelligent retrieval. Existing methods mainly focus on utilizing spatial information to mitigate modality discrepancies and extract modality-shared features, overlooking the vital person discriminative information embedded in the frequency domain. Additionally, these methods also lack sufficient robustness, making them prone to the adverse effects of noise and damage. To address this issue, we propose a novel Frequency-Space Joint Disentanglement and Fusion Network (FSDF) to explore the key information in both spatial and frequency domains. Specifcally, we design a Frequency and Spatial Information Fusion (FSIF) module to fuse the crucial identity information contained in the frequency and spatial domain using the Fast Fourier Transform (FFT) and feature fusion. Furthermore, as noise commonly manifests as high-frequency information, we design a High-low Frequency Information Disentanglement Mining (HFIDM) module to disentangle high- and low-frequency information and extract crucial robust features, effectively mitigating modal differences and reducing the impact of noise. Extensive experimental results have shown that the proposed FSDF not only outperforms other state-of-the-art methods on the SYSU-MM01, RegDB, and LLCM datasets but also maintains competitiveness in challenging corrupt scenes. Person Re-identification Visible-infrared Feature Fusion Frequency Disentanglement Full Text Additional Declarations No competing interests reported. Cite Share Download PDF Status: Published Journal Publication published 26 Jun, 2025 Read the published version in International Journal of Machine Learning and Cybernetics → Version 1 posted Editorial decision: Revision requested 07 Nov, 2024 Reviews received at journal 27 Oct, 2024 Reviews received at journal 10 Oct, 2024 Reviewers agreed at journal 28 Sep, 2024 Reviewers agreed at journal 28 Sep, 2024 Reviewers invited by journal 28 Sep, 2024 Editor assigned by journal 26 Sep, 2024 Submission checks completed at journal 25 Sep, 2024 First submitted to journal 24 Sep, 2024 You are reading this latest preprint version Research Square lets you share your work early, gain feedback from the community, and start making changes to your manuscript prior to peer review in a journal. As a division of Research Square Company, we’re committed to making research communication faster, fairer, and more useful. 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Also discoverable on Platform About Our Team In Review Editorial Policies Advisory Board Help Center Resources Author Services Accessibility API Access RSS feed Manage Cookie Preferences © Research Square 2026 | ISSN 2693-5015 (online) Privacy Policy Terms of Service Do Not Sell My Personal Information {"props":{"pageProps":{"initialData":{"identity":"rs-5143263","acceptedTermsAndConditions":true,"allowDirectSubmit":false,"archivedVersions":[],"articleType":"Research Article","associatedPublications":[],"authors":[{"id":375528037,"identity":"a2a41449-e9d3-4465-8bbc-cc2752bcca60","order_by":0,"name":"Rui Sun","email":"","orcid":"","institution":"School of Computer Science and Information Engineering Hefei University of Technology No. 485 Danxia Road Hefei 230009 China","correspondingAuthor":false,"prefix":"","firstName":"Rui","middleName":"","lastName":"Sun","suffix":""},{"id":375528038,"identity":"6d2f9369-7808-48ef-a257-3524c738c208","order_by":1,"name":"Xuebin Wang","email":"data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAZAAAAAyAQMAAABI0h/eAAAABlBMVEX///8AAABVwtN+AAAACXBIWXMAAA7EAAAOxAGVKw4bAAABA0lEQVRIie2RsWrDMBCGJQSXRdirQkryChcMmUqbR7lgSKZARo8NAXkpdK2XPkOnzjIGZ1HStdChzht49FCa2mQrjUK3Dvq48T6O/z/GPJ7/iOCbQ43XN8BeDxUlMIReatxKT5SRWs3jkFuBtQ2iQFpyKyGQknXBs42FfqaHsyc1RaeBhURUKASWOzOQMFloxYg1yYtTqVYIAdo9RVLOl3qwNvzevp9VJqcrUuCbwViqcqmvDAmu3Ypqhz9/VN3F4wIU4QWli4/Iszs7Xj8S0EXltuhKRopDVsasNjDWbcm5K0v/IW9f+XlsX1lsm9kXjEZpmldNcl75HfPHfY/H4/H84BupVVvVdhz13QAAAABJRU5ErkJggg==","orcid":"","institution":"School of Computer Science and Information Engineering Hefei University of Technology No. 485 Danxia Road Hefei 230009 China","correspondingAuthor":true,"prefix":"","firstName":"Xuebin","middleName":"","lastName":"Wang","suffix":""},{"id":375528040,"identity":"7d7a6155-af07-494d-a5b6-46ddbe22dc44","order_by":2,"name":"Guoxi Huang","email":"","orcid":"","institution":"School of Computer Science and Information Engineering Hefei University of Technology No. 485 Danxia Road Hefei 230009 China","correspondingAuthor":false,"prefix":"","firstName":"Guoxi","middleName":"","lastName":"Huang","suffix":""},{"id":375528048,"identity":"8e5b44e8-bd42-4a9b-855b-824b6f4ded9d","order_by":3,"name":"Long Chen","email":"","orcid":"","institution":"School of Computer Science and Information Engineering Hefei University of Technology No. 485 Danxia Road Hefei 230009 China","correspondingAuthor":false,"prefix":"","firstName":"Long","middleName":"","lastName":"Chen","suffix":""},{"id":375528052,"identity":"8b1afa43-c359-4ffd-ab5e-99bfc579d9be","order_by":4,"name":"Libing Qian","email":"","orcid":"","institution":"Anhui Heli Co., Ltd. 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