{"id":"https://openalex.org/W7081973600","doi":"https://doi.org/10.1109/tcsvt.2025.3609570","title":"Part-Based Feature Complementary Denoising for Unsupervised Person Re-Identification","display_name":"Part-Based Feature Complementary Denoising for Unsupervised Person Re-Identification","publication_year":2025,"publication_date":"2025-09-12","ids":{"openalex":"https://openalex.org/W7081973600","doi":"https://doi.org/10.1109/tcsvt.2025.3609570"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2025.3609570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3609570","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":null,"display_name":"Qing Tian","orcid":"https://orcid.org/0000-0003-0030-3645"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Tian","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0000-0003-0030-3645","affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Bin Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bin Wang","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Xiang Liu","orcid":"https://orcid.org/0009-0008-1571-2007"},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiang Liu","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":"https://orcid.org/0009-0008-1571-2007","affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Jiashuo Shen","orcid":null},"institutions":[{"id":"https://openalex.org/I200845125","display_name":"Nanjing University of Information Science and Technology","ror":"https://ror.org/02y0rxk19","country_code":"CN","type":"education","lineage":["https://openalex.org/I200845125"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiashuo Shen","raw_affiliation_strings":["School of Software, Nanjing University of Information Science and Technology, Nanjing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Software, Nanjing University of Information Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I200845125"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Keyang Cheng","orcid":"https://orcid.org/0000-0001-5240-1605"},"institutions":[{"id":"https://openalex.org/I115592961","display_name":"Jiangsu University","ror":"https://ror.org/03jc41j30","country_code":"CN","type":"education","lineage":["https://openalex.org/I115592961"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Keyang Cheng","raw_affiliation_strings":["School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China"],"raw_orcid":"https://orcid.org/0000-0001-5240-1605","affiliations":[{"raw_affiliation_string":"School of Computer Science and Communication Engineering, Jiangsu University, Zhenjiang, China","institution_ids":["https://openalex.org/I115592961"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Weihua Ou","orcid":null},"institutions":[{"id":"https://openalex.org/I154893126","display_name":"Guizhou Normal University","ror":"https://ror.org/02x1pa065","country_code":"CN","type":"education","lineage":["https://openalex.org/I154893126"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Weihua Ou","raw_affiliation_strings":["School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Big Data and Computer Science, Guizhou Normal University, Guiyang, China","institution_ids":["https://openalex.org/I154893126"]}]},{"author_position":"last","author":{"id":null,"display_name":"Zhen Lei","orcid":"https://orcid.org/0000-0002-0791-189X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210112150","display_name":"Institute of Automation","ror":"https://ror.org/022c3hy66","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhen Lei","raw_affiliation_strings":["National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"raw_orcid":"https://orcid.org/0000-0002-0791-189X","affiliations":[{"raw_affiliation_string":"National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210112150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.46310191,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"36","issue":"2","first_page":"2137","last_page":"2150"},"is_retracted":false,"is_paratext":false,"is_xpac":true,"primary_topic":{"id":"https://openalex.org/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.025100000202655792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T13523","display_name":"Mathematics, Computing, and Information Processing","score":0.025100000202655792,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13398","display_name":"Data Analysis with R","score":0.015200000256299973,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T13937","display_name":"Genetics, Bioinformatics, and Biomedical Research","score":0.014100000262260437,"subfield":{"id":"https://openalex.org/subfields/1312","display_name":"Molecular Biology"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.6154999732971191},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.585099995136261},{"id":"https://openalex.org/keywords/noise-reduction","display_name":"Noise reduction","score":0.5008999705314636},{"id":"https://openalex.org/keywords/modular-design","display_name":"Modular design","score":0.4724000096321106},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4474000036716461},{"id":"https://openalex.org/keywords/noise","display_name":"Noise (video)","score":0.4440000057220459},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.42879998683929443},{"id":"https://openalex.org/keywords/complementarity","display_name":"Complementarity (molecular biology)","score":0.3919999897480011}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7954999804496765},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.73089998960495},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.6154999732971191},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.585099995136261},{"id":"https://openalex.org/C163294075","wikidata":"https://www.wikidata.org/wiki/Q581861","display_name":"Noise reduction","level":2,"score":0.5008999705314636},{"id":"https://openalex.org/C101468663","wikidata":"https://www.wikidata.org/wiki/Q1620158","display_name":"Modular design","level":2,"score":0.4724000096321106},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4474000036716461},{"id":"https://openalex.org/C99498987","wikidata":"https://www.wikidata.org/wiki/Q2210247","display_name":"Noise (video)","level":3,"score":0.4440000057220459},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.42879998683929443},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.41269999742507935},{"id":"https://openalex.org/C202269582","wikidata":"https://www.wikidata.org/wiki/Q2644277","display_name":"Complementarity (molecular biology)","level":2,"score":0.3919999897480011},{"id":"https://openalex.org/C49937458","wikidata":"https://www.wikidata.org/wiki/Q2599292","display_name":"Probabilistic logic","level":2,"score":0.39160001277923584},{"id":"https://openalex.org/C61224824","wikidata":"https://www.wikidata.org/wiki/Q2260434","display_name":"Mixture model","level":2,"score":0.3864000141620636},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.385699987411499},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.3720000088214874},{"id":"https://openalex.org/C94124525","wikidata":"https://www.wikidata.org/wiki/Q912550","display_name":"Categorization","level":2,"score":0.3562000095844269},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.3140000104904175},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.2849000096321106},{"id":"https://openalex.org/C29265498","wikidata":"https://www.wikidata.org/wiki/Q7047719","display_name":"Noise measurement","level":3,"score":0.2847000062465668},{"id":"https://openalex.org/C2776035091","wikidata":"https://www.wikidata.org/wiki/Q7928819","display_name":"Viewpoints","level":2,"score":0.27799999713897705},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.25920000672340393},{"id":"https://openalex.org/C159078339","wikidata":"https://www.wikidata.org/wiki/Q959005","display_name":"Hyperspectral imaging","level":2,"score":0.2556999921798706},{"id":"https://openalex.org/C30814859","wikidata":"https://www.wikidata.org/wiki/Q4119603","display_name":"Video denoising","level":5,"score":0.2515000104904175}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2025.3609570","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2025.3609570","pdf_url":null,"source":{"id":"https://openalex.org/S115173108","display_name":"IEEE Transactions on Circuits and Systems for Video Technology","issn_l":"1051-8215","issn":["1051-8215","1558-2205"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Circuits and Systems for Video Technology","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.5327540040016174,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G2394944468","display_name":null,"funder_award_id":"NJ2023032","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G3901081597","display_name":null,"funder_award_id":"BK20231143","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G8034749032","display_name":null,"funder_award_id":"62176128","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336585","display_name":"Foundation Research Project of Jiangsu Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":58,"referenced_works":["https://openalex.org/W1993209630","https://openalex.org/W2150593711","https://openalex.org/W2204750386","https://openalex.org/W2511791013","https://openalex.org/W2795758732","https://openalex.org/W2904427185","https://openalex.org/W2909398625","https://openalex.org/W2953684117","https://openalex.org/W2961917444","https://openalex.org/W2963047834","https://openalex.org/W2988852559","https://openalex.org/W2998792609","https://openalex.org/W3034903425","https://openalex.org/W3035038723","https://openalex.org/W3035402405","https://openalex.org/W3035524453","https://openalex.org/W3035539956","https://openalex.org/W3084758420","https://openalex.org/W3096538374","https://openalex.org/W3127196078","https://openalex.org/W3143564254","https://openalex.org/W3180562345","https://openalex.org/W3189423081","https://openalex.org/W3201928165","https://openalex.org/W3203755984","https://openalex.org/W3204330270","https://openalex.org/W3204762109","https://openalex.org/W3211825525","https://openalex.org/W4220813980","https://openalex.org/W4224242030","https://openalex.org/W4225981478","https://openalex.org/W4285259379","https://openalex.org/W4312453698","https://openalex.org/W4312666664","https://openalex.org/W4313013512","https://openalex.org/W4319022778","https://openalex.org/W4322096648","https://openalex.org/W4328007737","https://openalex.org/W4360995294","https://openalex.org/W4362683541","https://openalex.org/W4365483549","https://openalex.org/W4367146740","https://openalex.org/W4377235412","https://openalex.org/W4378421684","https://openalex.org/W4382239202","https://openalex.org/W4383428402","https://openalex.org/W4385338659","https://openalex.org/W4386918845","https://openalex.org/W4387122317","https://openalex.org/W4388854192","https://openalex.org/W4390874685","https://openalex.org/W4391946799","https://openalex.org/W4392251890","https://openalex.org/W4393159649","https://openalex.org/W4399620354","https://openalex.org/W4400489832","https://openalex.org/W4402557655","https://openalex.org/W4409367050"],"related_works":[],"abstract_inverted_index":{"Unsupervised":[0],"Person":[1],"re-identification":[2],"(ReID)":[3],"aims":[4],"to":[5,125,149,173,189],"automatically":[6],"capture":[7,96],"and":[8,32,55,87,91,103,106,121,159,178],"match":[9],"images":[10],"of":[11,52,59,129],"the":[12,40,49,57,82,88,127,133,137],"same":[13],"person":[14],"across":[15],"different":[16],"camera":[17],"viewpoints":[18],"without":[19],"any":[20],"manual":[21],"annotations.":[22],"Current":[23],"methods":[24],"primarily":[25],"generate":[26],"pseudo-labels":[27],"by":[28,44],"clustering":[29,110],"global":[30,53,105,120],"features":[31,54,74,84,108,139,151],"employ":[33],"contrastive":[34,92],"learning":[35],"strategies":[36],"for":[37,109],"training.":[38],"Despite":[39],"promising":[41],"advancements":[42],"made":[43,208],"these":[45],"approaches,":[46],"effectively":[47,179],"addressing":[48],"inherent":[50],"bias":[51],"mitigating":[56],"impact":[58],"pseudo-label":[60,113,130,181],"noise":[61,131],"remains":[62],"an":[63],"unresolved":[64],"issue.":[65],"To":[66],"tackle":[67],"this":[68],"challenge,":[69],"we":[70,80,135,166],"propose":[71],"a":[72,100,117,145,168],"part-based":[73],"complementary":[75],"denoising":[76,140,161],"method":[77,186],"(PFCD).":[78],"Specifically,":[79],"design":[81,136],"combined":[83],"(CF)":[85],"module":[86],"partial-features":[89],"fusion":[90],"scheme":[93],"(PFCS),":[94],"which":[95,143],"fine-grained":[97],"clues":[98],"from":[99],"local":[101,107,122],"perspective":[102],"combine":[104],"with":[111],"consistent":[112],"assignment,":[114],"thereby":[115],"achieving":[116],"complementarity":[118],"between":[119],"features.":[123,164],"Furthermore,":[124],"diminish":[126],"influence":[128],"on":[132,156,162,195],"model,":[134],"GMM":[138],"(GFD)":[141],"module,":[142],"employs":[144],"Gaussian":[146],"Mixture":[147],"Model":[148],"categorize":[150],"within":[152],"each":[153],"pseudo-class":[154],"based":[155],"confidence":[157],"levels":[158],"performs":[160],"low-confidence":[163],"Lastly,":[165],"construct":[167],"modular":[169],"knowledge":[170],"distillation":[171],"(MKD)":[172],"enhance":[174],"feature":[175],"representation":[176],"capabilities":[177],"reduce":[180],"noise.":[182],"In":[183],"addition,":[184],"our":[185],"is":[187],"confirmed":[188],"be":[190],"effective":[191],"through":[192],"extensive":[193],"experiments":[194],"four":[196],"challenging":[197],"ReID":[198],"datasets,":[199],"remarkably":[200],"surpassing":[201],"numerous":[202],"state-of-the-art":[203],"methods.":[204],"Code":[205],"has":[206],"been":[207],"available":[209],"at":[210],"https://github.com/xfltdzzz/PFCS_ReID.":[211]},"counts_by_year":[],"updated_date":"2026-07-22T07:51:19.307946","created_date":"2025-10-10T00:00:00"}