Please use this identifier to cite or link to this item: http://bura.brunel.ac.uk/handle/2438/24697
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dc.contributor.authorWang, P-
dc.contributor.authorZhao, Z-
dc.contributor.authorSu, F-
dc.contributor.authorMeng, H-
dc.date.accessioned2022-06-15T10:04:48Z-
dc.date.available2022-06-15T10:04:48Z-
dc.date.issued2022-06-02-
dc.identifier.citationWang, P., Zhao, Z., Su, F. and Meng, H. (2022) 'LTReID: Factorizable Feature Generation with Independent Components for Long-Tailed Person Re-Identification', IEEE Transactions on Multimedia, 0 (in press), pp. 1 - 13. doi: 10.1109/tmm.2022.3179902.en_US
dc.identifier.issn1520-9210-
dc.identifier.urihttps://bura.brunel.ac.uk/handle/2438/24697-
dc.description.sponsorshipChinese National Natural Science Foundation (62076033, U1931202).en_US
dc.format.extent1 - 13 (13)-
dc.language.isoen_USen_US
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.rightsCopyright © 2022 IEEE. Personal use of this material is permitted. Permission from IEEE must be obtained for all other uses, in any current or future media, including reprinting/republishing this material for advertising or promotional purposes, creating new collective works, for resale or redistribution to servers or lists, or reuse of any copyrighted component of this work in other works.-
dc.rights.urihttps://www.ieee.org/publications/rights/rights-policies.html-
dc.subjectperson re-Identificationen_US
dc.subjectlong-tailed distributionen_US
dc.subjectfeature factorizationen_US
dc.subjectfeature generationen_US
dc.titleLTReID: Factorizable Feature Generation with Independent Components for Long-Tailed Person Re-Identificationen_US
dc.typeArticleen_US
dc.identifier.doihttps://doi.org/10.1109/tmm.2022.3179902-
dc.relation.isPartOfIEEE Transactions on Multimedia-
pubs.publication-statusPublished-
dc.identifier.eissn1941-0077-
Appears in Collections:Dept of Electronic and Electrical Engineering Research Papers

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