{"id":"https://openalex.org/W4408324484","doi":"https://doi.org/10.1109/tim.2025.3546396","title":"POSR: Pose-Aligned Outlier Sample Relabeling for Unsupervised Person Reidentification","display_name":"POSR: Pose-Aligned Outlier Sample Relabeling for Unsupervised Person Reidentification","publication_year":2025,"publication_date":"2025-01-01","ids":{"openalex":"https://openalex.org/W4408324484","doi":"https://doi.org/10.1109/tim.2025.3546396"},"language":"en","primary_location":{"id":"doi:10.1109/tim.2025.3546396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3546396","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","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":"https://openalex.org/A5100647867","display_name":"Hang Yu","orcid":"https://orcid.org/0009-0000-5595-1186"},"institutions":[{"id":"https://openalex.org/I48780066","display_name":"Shenyang University of Chemical Technology","ror":"https://ror.org/03dbpdh75","country_code":"CN","type":"education","lineage":["https://openalex.org/I48780066"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hang Yu","raw_affiliation_strings":["School of Information Engineering, Shenyang University of Chemical Technology, Shenyang, China"],"raw_orcid":"https://orcid.org/0009-0000-5595-1186","affiliations":[{"raw_affiliation_string":"School of Information Engineering, Shenyang University of Chemical Technology, Shenyang, China","institution_ids":["https://openalex.org/I48780066"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001938430","display_name":"Huijie Fan","orcid":"https://orcid.org/0000-0002-8548-861X"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huijie Fan","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","Shenyang Institute of Automation, State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-8548-861X","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5023023880","display_name":"Xi\u2019ai Chen","orcid":"https://orcid.org/0000-0003-4756-3962"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiai Chen","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","Shenyang Institute of Automation, State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0003-4756-3962","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100366955","display_name":"Qiang Wang","orcid":"https://orcid.org/0000-0002-2018-1764"},"institutions":[{"id":"https://openalex.org/I42852656","display_name":"Shenyang University","ror":"https://ror.org/04ddfwm68","country_code":"CN","type":"education","lineage":["https://openalex.org/I42852656"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Wang","raw_affiliation_strings":["Key Laboratory of Manufacturing Industrial Integrated Automation, Shenyang University, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-2018-1764","affiliations":[{"raw_affiliation_string":"Key Laboratory of Manufacturing Industrial Integrated Automation, Shenyang University, Shenyang, China","institution_ids":["https://openalex.org/I42852656"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001277681","display_name":"Zhi Han","orcid":"https://orcid.org/0000-0002-8039-6679"},"institutions":[{"id":"https://openalex.org/I142078773","display_name":"Shenyang Institute of Automation","ror":"https://ror.org/00ft6nj33","country_code":"CN","type":"facility","lineage":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhi Han","raw_affiliation_strings":["State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","Shenyang Institute of Automation, State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China"],"raw_orcid":"https://orcid.org/0000-0002-8039-6679","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Shenyang Institute of Automation, State Key Laboratory of Robotics, Chinese Academy of Sciences, Shenyang, China","institution_ids":["https://openalex.org/I142078773","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6891,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81960259,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":"74","issue":null,"first_page":"1","last_page":"11"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T12740","display_name":"Gait Recognition and Analysis","score":0.9922000169754028,"subfield":{"id":"https://openalex.org/subfields/2204","display_name":"Biomedical Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10992","display_name":"Forensic Anthropology and Bioarchaeology Studies","score":0.9894000291824341,"subfield":{"id":"https://openalex.org/subfields/1204","display_name":"Archeology"},"field":{"id":"https://openalex.org/fields/12","display_name":"Arts and Humanities"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9825000166893005,"subfield":{"id":"https://openalex.org/subfields/1707","display_name":"Computer Vision and Pattern Recognition"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/outlier","display_name":"Outlier","score":0.6728749871253967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6203777194023132},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6149487495422363},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.5835385322570801},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5656082630157471},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.510903537273407},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.33356067538261414},{"id":"https://openalex.org/keywords/chromatography","display_name":"Chromatography","score":0.08527320623397827}],"concepts":[{"id":"https://openalex.org/C79337645","wikidata":"https://www.wikidata.org/wiki/Q779824","display_name":"Outlier","level":2,"score":0.6728749871253967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6203777194023132},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6149487495422363},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.5835385322570801},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5656082630157471},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.510903537273407},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.33356067538261414},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.08527320623397827},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tim.2025.3546396","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tim.2025.3546396","pdf_url":null,"source":{"id":"https://openalex.org/S10892749","display_name":"IEEE Transactions on Instrumentation and Measurement","issn_l":"0018-9456","issn":["0018-9456","1557-9662"],"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 Instrumentation and Measurement","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","score":0.4000000059604645,"id":"https://metadata.un.org/sdg/10"}],"awards":[{"id":"https://openalex.org/G1587494409","display_name":null,"funder_award_id":"U24A201397","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G944077816","display_name":null,"funder_award_id":"62273339","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/F4320336585","display_name":"Foundation Research Project of Jiangsu Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W1875842236","https://openalex.org/W2204750386","https://openalex.org/W2511791013","https://openalex.org/W2584637367","https://openalex.org/W2916798096","https://openalex.org/W2963047834","https://openalex.org/W2998508940","https://openalex.org/W3035402405","https://openalex.org/W3035422918","https://openalex.org/W3035524453","https://openalex.org/W3159331020","https://openalex.org/W3175445198","https://openalex.org/W3176033671","https://openalex.org/W3203755984","https://openalex.org/W3204330270","https://openalex.org/W3208191409","https://openalex.org/W3213464901","https://openalex.org/W4200635168","https://openalex.org/W4214736485","https://openalex.org/W4283817315","https://openalex.org/W4285232958","https://openalex.org/W4295789385","https://openalex.org/W4306247966","https://openalex.org/W4312643221","https://openalex.org/W4312933120","https://openalex.org/W4312983632","https://openalex.org/W4313013512","https://openalex.org/W4313654972","https://openalex.org/W4319865629","https://openalex.org/W4319999896","https://openalex.org/W4322096648","https://openalex.org/W4365483549","https://openalex.org/W4366668491","https://openalex.org/W4367146740","https://openalex.org/W4377000507","https://openalex.org/W4378421684","https://openalex.org/W4385895938","https://openalex.org/W4386552691","https://openalex.org/W4390872206","https://openalex.org/W4390874685","https://openalex.org/W4392152075","https://openalex.org/W4392251890","https://openalex.org/W4393159076","https://openalex.org/W4393864501","https://openalex.org/W4400489832","https://openalex.org/W4404486776","https://openalex.org/W6766978945","https://openalex.org/W6804884366"],"related_works":["https://openalex.org/W3006513224","https://openalex.org/W2046456988","https://openalex.org/W2357409937","https://openalex.org/W2510582230","https://openalex.org/W2978674666","https://openalex.org/W2074430941","https://openalex.org/W2113096305","https://openalex.org/W1977636359","https://openalex.org/W2772305933","https://openalex.org/W2580722822"],"abstract_inverted_index":{"Unsupervised":[0],"person":[1],"reidentification":[2],"(Re-ID)":[3],"is":[4,140],"crucial":[5],"since":[6],"it":[7],"enables":[8],"the":[9,50,111,123,130,137,147,182],"matching":[10,107],"of":[11,52,78,125,149,168,184],"individuals":[12],"without":[13],"labeled":[14],"data.":[15],"Existing":[16],"clustering-based":[17],"methods":[18],"directly":[19],"discard":[20],"outlier":[21,58,88,144,174],"samples.":[22,30,175],"However,":[23],"these":[24,65],"discarded":[25],"outliers":[26,66],"are":[27,34,39],"not":[28],"noise":[29],"In":[31],"contrast,":[32],"they":[33],"some":[35],"high-quality":[36],"samples":[37,145],"that":[38],"especially":[40],"meaningful":[41,173],"for":[42,72,122,133,165],"implementing":[43],"Re-ID":[44,170,190],"cross-camera":[45,74,166],"retrieval.":[46,75],"To":[47],"capitalize":[48],"on":[49,178],"diversity":[51],"data,":[53],"we":[54],"propose":[55],"a":[56,79,86],"pose-aligned":[57,80,112,118,150],"sample":[59],"relabeling":[60,89],"(POSR)":[61],"model":[62],"to":[63,67,142],"relabel":[64,143],"mine":[68],"diverse":[69],"data":[70],"representations":[71,159],"accurate":[73],"POSR":[76],"consists":[77],"feature":[81,113],"learning":[82],"(PFL)":[83],"module":[84,94,139],"and":[85,109,152,160,187],"biclustering":[87],"(BOR)":[90],"module.":[91],"The":[92,117],"PFL":[93],"learns":[95],"pose":[96],"features":[97,119,127,151],"with":[98],"fine-grained":[99],"information":[100],"about":[101],"human":[102],"joint":[103],"points":[104],"by":[105,171],"dynamically":[106],"tokens":[108],"obtains":[110],"via":[114],"average":[115],"pooling.":[116],"can":[120,156],"compensate":[121],"limitations":[124],"global":[126,153],"obtained":[128],"through":[129,146],"transformer":[131],"encoder":[132],"alignment":[134],"processing.":[135],"Therefore,":[136],"BOR":[138],"proposed":[141],"complementarity":[148],"features,":[154],"which":[155],"learn":[157],"ID-consistent":[158],"achieve":[161],"more":[162],"robust":[163],"performance":[164],"retrieval":[167],"unsupervised":[169],"training":[172],"Extensive":[176],"experiments":[177],"three":[179],"datasets":[180],"demonstrate":[181],"effectiveness":[183],"our":[185],"method":[186],"significantly":[188],"improve":[189],"accuracy.":[191]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}