{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,6,3]],"date-time":"2026-06-03T18:44:57Z","timestamp":1780512297071,"version":"3.54.1"},"reference-count":73,"publisher":"Institute of Electrical and Electronics Engineers (IEEE)","license":[{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/ieeexplore.ieee.org\/Xplorehelp\/downloads\/license-information\/IEEE.html"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-029"},{"start":{"date-parts":[[2024,1,1]],"date-time":"2024-01-01T00:00:00Z","timestamp":1704067200000},"content-version":"stm-asf","delay-in-days":0,"URL":"https:\/\/doi.org\/10.15223\/policy-037"}],"funder":[{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62371209"],"award-info":[{"award-number":["62371209"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"DOI":"10.13039\/501100001809","name":"National Natural Science Foundation of China","doi-asserted-by":"publisher","award":["62371208"],"award-info":[{"award-number":["62371208"]}],"id":[{"id":"10.13039\/501100001809","id-type":"DOI","asserted-by":"publisher"}]},{"name":"Postgraduate Research and Practice Innovation Program of Jiangsu Province","award":["KYCX24_2515"],"award-info":[{"award-number":["KYCX24_2515"]}]},{"name":"111 Projects","award":["B12018"],"award-info":[{"award-number":["B12018"]}]}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["IEEE Trans. on Image Process."],"published-print":{"date-parts":[[2024]]},"DOI":"10.1109\/tip.2024.3514360","type":"journal-article","created":{"date-parts":[[2024,12,16]],"date-time":"2024-12-16T19:36:23Z","timestamp":1734377783000},"page":"6705-6719","source":"Crossref","is-referenced-by-count":11,"title":["Unsupervised Learning of Intrinsic Semantics With Diffusion Model for Person Re-Identification"],"prefix":"10.1109","volume":"33","author":[{"ORCID":"https:\/\/orcid.org\/0000-0003-1142-619X","authenticated-orcid":false,"given":"Xuefeng","family":"Tao","sequence":"first","affiliation":[{"name":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-2551-4748","authenticated-orcid":false,"given":"Jun","family":"Kong","sequence":"additional","affiliation":[{"name":"Key Laboratory of Advanced Process Control for Light Industry (Ministry of Education), Jiangnan University, Wuxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0003-3826-6405","authenticated-orcid":false,"given":"Min","family":"Jiang","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-0577-1969","authenticated-orcid":false,"given":"Ming","family":"Lu","sequence":"additional","affiliation":[{"name":"Jiangsu Provincial Engineering Laboratory of Pattern Recognition and Computational Intelligence, Jiangnan University, Wuxi, China"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"ORCID":"https:\/\/orcid.org\/0000-0002-5206-3842","authenticated-orcid":false,"given":"Ajmal","family":"Mian","sequence":"additional","affiliation":[{"name":"Department of Computer Science, The University of Western Australia, Crawley, WA, Australia"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"263","reference":[{"key":"ref1","doi-asserted-by":"publisher","DOI":"10.1145\/3240508.3240552"},{"key":"ref2","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2019.00063"},{"key":"ref3","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2019.2919199"},{"key":"ref4","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00016"},{"key":"ref5","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3236144"},{"key":"ref6","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3266166"},{"key":"ref7","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00716"},{"key":"ref8","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2019.00375"},{"key":"ref9","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v33i01.33018738"},{"key":"ref10","article-title":"Dynamic clustering and cluster contrastive learning for unsupervised person re-identification","author":"He","year":"2023","journal-title":"arXiv:2303.06810"},{"key":"ref11","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2021.3135274"},{"key":"ref12","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3173163"},{"key":"ref13","doi-asserted-by":"publisher","DOI":"10.1109\/TCSVT.2023.3261898"},{"key":"ref14","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00904"},{"key":"ref15","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2021.3104169"},{"key":"ref16","doi-asserted-by":"publisher","DOI":"10.1109\/LSP.2022.3177319"},{"key":"ref17","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-58621-8_31"},{"key":"ref18","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00344"},{"key":"ref19","doi-asserted-by":"publisher","DOI":"10.1109\/WACVW58289.2023.00009"},{"key":"ref20","first-page":"2017","article-title":"Spatial transformer networks","volume-title":"Proc. Adv. Neural Inf. Process. Syst.","volume":"28","author":"Jaderberg"},{"key":"ref21","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2020.2965491"},{"key":"ref22","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.00578"},{"key":"ref23","doi-asserted-by":"publisher","DOI":"10.1109\/CVPRW59228.2023.00091"},{"key":"ref24","first-page":"6840","article-title":"Denoising diffusion probabilistic models","volume-title":"Proc. NIPS","volume":"33","author":"Ho"},{"key":"ref25","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3220115"},{"key":"ref26","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2015.133"},{"key":"ref27","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-319-46475-6_53"},{"key":"ref28","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2018.00117"},{"key":"ref29","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-030-01225-0_30"},{"key":"ref30","article-title":"Label-efficient semantic segmentation with diffusion models","author":"Baranchuk","year":"2021","journal-title":"arXiv:2112.03126"},{"key":"ref31","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3204461"},{"key":"ref32","article-title":"Pretraining is all you need for image-to-image translation","author":"Wang","year":"2022","journal-title":"arXiv:2205.12952"},{"key":"ref33","doi-asserted-by":"publisher","DOI":"10.1561\/2200000056"},{"key":"ref34","doi-asserted-by":"publisher","DOI":"10.1145\/3422622"},{"key":"ref35","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52688.2022.00246"},{"key":"ref36","first-page":"36479","article-title":"Photorealistic text-to-image diffusion models with deep language understanding","volume-title":"Proc. NIPS","volume":"35","author":"Saharia"},{"key":"ref37","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01762"},{"key":"ref38","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.01764"},{"key":"ref39","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR52729.2023.02155"},{"key":"ref40","article-title":"Diffusion-based image translation using disentangled style and content representation","author":"Kwon","year":"2022","journal-title":"arXiv:2209.15264"},{"key":"ref41","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV51070.2023.01015"},{"key":"ref42","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.01175"},{"key":"ref43","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v36i1.19970"},{"key":"ref44","article-title":"DiffusionDet: Diffusion model for object detection","author":"Chen","year":"2022","journal-title":"arXiv:2211.09788"},{"key":"ref45","first-page":"226","article-title":"A density-based algorithm for discovering clusters in large spatial databases with noise","volume-title":"Proc. KDD","author":"Ester"},{"key":"ref46","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00482"},{"key":"ref47","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR.2009.5206848"},{"key":"ref48","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v34i07.7000"},{"key":"ref49","doi-asserted-by":"publisher","DOI":"10.1023\/A:1026543900054"},{"key":"ref50","doi-asserted-by":"publisher","DOI":"10.1080\/07038992.2017.1259557"},{"issue":"6","key":"ref51","first-page":"380","article-title":"Using of Jaccard coefficient for keywords similarity","volume-title":"Proc. Int. Multiconference Eng. Comput. Scientists","volume":"1","author":"Niwattanakul"},{"issue":"86","key":"ref52","first-page":"2579","article-title":"Visualizing data using t-SNE","volume":"9","author":"Maaten","year":"2008","journal-title":"J. Mach. Learn. Res."},{"key":"ref53","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3181811"},{"key":"ref54","doi-asserted-by":"publisher","DOI":"10.1109\/TIFS.2023.3289448"},{"key":"ref55","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV.2017.74"},{"key":"ref56","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.01367"},{"key":"ref57","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00364"},{"key":"ref58","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.00826"},{"key":"ref59","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR46437.2021.00204"},{"key":"ref60","doi-asserted-by":"publisher","DOI":"10.1109\/TMM.2022.3174414"},{"key":"ref61","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2022.3224325"},{"key":"ref62","doi-asserted-by":"publisher","DOI":"10.1109\/CVPR42600.2020.00345"},{"key":"ref63","doi-asserted-by":"publisher","DOI":"10.1609\/aaai.v35i4.16381"},{"key":"ref64","doi-asserted-by":"publisher","DOI":"10.1145\/3474085.3475296"},{"key":"ref65","doi-asserted-by":"publisher","DOI":"10.1109\/ICCV48922.2021.01469"},{"key":"ref66","first-page":"11309","article-title":"Self-paced contrastive learning with hybrid memory for domain adaptive object Re-ID","volume-title":"Proc. NIPS","author":"Ge"},{"key":"ref67","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2021.3103961"},{"key":"ref68","doi-asserted-by":"publisher","DOI":"10.1109\/ICME51207.2021.9428440"},{"key":"ref69","doi-asserted-by":"publisher","DOI":"10.1007\/978-3-031-26351-4_20"},{"key":"ref70","doi-asserted-by":"publisher","DOI":"10.1109\/TITS.2022.3233565"},{"key":"ref71","doi-asserted-by":"publisher","DOI":"10.1109\/TIP.2023.3278860"},{"key":"ref72","doi-asserted-by":"publisher","DOI":"10.1109\/CCDC58219.2023.10327202"},{"key":"ref73","doi-asserted-by":"publisher","DOI":"10.1109\/TPAMI.2022.3163451"}],"container-title":["IEEE Transactions on Image Processing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx8\/83\/10346232\/10804086.pdf?arnumber=10804086","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2024,12,30]],"date-time":"2024-12-30T19:46:24Z","timestamp":1735587984000},"score":1,"resource":{"primary":{"URL":"https:\/\/ieeexplore.ieee.org\/document\/10804086\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2024]]},"references-count":73,"URL":"https:\/\/doi.org\/10.1109\/tip.2024.3514360","relation":{},"ISSN":["1057-7149","1941-0042"],"issn-type":[{"value":"1057-7149","type":"print"},{"value":"1941-0042","type":"electronic"}],"subject":[],"published":{"date-parts":[[2024]]}}}