{"id":"https://openalex.org/W4412107026","doi":"https://doi.org/10.1109/tcss.2025.3575256","title":"AGT-Net: It Takes Two to Tango in Long-Term Person Reidentification","display_name":"AGT-Net: It Takes Two to Tango in Long-Term Person Reidentification","publication_year":2025,"publication_date":"2025-07-08","ids":{"openalex":"https://openalex.org/W4412107026","doi":"https://doi.org/10.1109/tcss.2025.3575256"},"language":"en","primary_location":{"id":"doi:10.1109/tcss.2025.3575256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3575256","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","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/A5042071476","display_name":"Zijun Yu","orcid":"https://orcid.org/0009-0001-6175-9278"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zijun Yu","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0001-6175-9278","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100642607","display_name":"Jin Liu","orcid":"https://orcid.org/0000-0001-7249-698X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jin Liu","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-7249-698X","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5002186127","display_name":"Peizhu Gong","orcid":"https://orcid.org/0000-0002-9556-089X"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Peizhu Gong","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-9556-089X","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101802308","display_name":"Xingye Li","orcid":"https://orcid.org/0000-0002-5727-8877"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xingye Li","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5727-8877","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012555900","display_name":"Lai Wei","orcid":"https://orcid.org/0000-0002-6116-1671"},"institutions":[{"id":"https://openalex.org/I96733725","display_name":"Shanghai Maritime University","ror":"https://ror.org/04z7qrj66","country_code":"CN","type":"education","lineage":["https://openalex.org/I96733725"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lai Wei","raw_affiliation_strings":["College of Information Engineering, Shanghai Maritime University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-6116-1671","affiliations":[{"raw_affiliation_string":"College of Information Engineering, Shanghai Maritime University, Shanghai, China","institution_ids":["https://openalex.org/I96733725"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005312852","display_name":"Huihua He","orcid":"https://orcid.org/0000-0003-4628-7425"},"institutions":[{"id":"https://openalex.org/I21945476","display_name":"Shanghai Normal University","ror":"https://ror.org/01cxqmw89","country_code":"CN","type":"education","lineage":["https://openalex.org/I21945476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huihua He","raw_affiliation_strings":["College of Early Childhood Education, Shanghai Normal University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4628-7425","affiliations":[{"raw_affiliation_string":"College of Early Childhood Education, Shanghai Normal University, Shanghai, China","institution_ids":["https://openalex.org/I21945476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5086049872","display_name":"Zhongdai Wu","orcid":"https://orcid.org/0009-0001-3388-9446"},"institutions":[{"id":"https://openalex.org/I4210097049","display_name":"Shanghai Ship and Shipping Research Institute","ror":"https://ror.org/00z9npm78","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210097049"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhongdai Wu","raw_affiliation_strings":["State Key Laboratory of Maritime Technology and Safety, Shanghai Ship and Shipping Research Institute, Shanghai, China"],"raw_orcid":"https://orcid.org/0009-0001-3388-9446","affiliations":[{"raw_affiliation_string":"State Key Laboratory of Maritime Technology and Safety, Shanghai Ship and Shipping Research Institute, Shanghai, China","institution_ids":["https://openalex.org/I4210097049"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"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":0.27340592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"12","issue":"6","first_page":"4965","last_page":"4978"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9495000243186951,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},"topics":[{"id":"https://openalex.org/T12011","display_name":"Insurance, Mortality, Demography, Risk Management","score":0.9495000243186951,"subfield":{"id":"https://openalex.org/subfields/3317","display_name":"Demography"},"field":{"id":"https://openalex.org/fields/33","display_name":"Social Sciences"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/term","display_name":"Term (time)","score":0.6906609535217285},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.4490082561969757},{"id":"https://openalex.org/keywords/net","display_name":"Net (polyhedron)","score":0.41375818848609924},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.33598440885543823},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2255690097808838},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1298830807209015}],"concepts":[{"id":"https://openalex.org/C61797465","wikidata":"https://www.wikidata.org/wiki/Q1188986","display_name":"Term (time)","level":2,"score":0.6906609535217285},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4490082561969757},{"id":"https://openalex.org/C14166107","wikidata":"https://www.wikidata.org/wiki/Q253829","display_name":"Net (polyhedron)","level":2,"score":0.41375818848609924},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.33598440885543823},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2255690097808838},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1298830807209015},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcss.2025.3575256","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcss.2025.3575256","pdf_url":null,"source":{"id":"https://openalex.org/S2490693980","display_name":"IEEE Transactions on Computational Social Systems","issn_l":"2329-924X","issn":["2329-924X","2373-7476"],"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 Computational Social Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G7682384977","display_name":null,"funder_award_id":"20&ZD130","funder_id":"https://openalex.org/F4320335869","funder_display_name":"National Social Science Fund of China"}],"funders":[{"id":"https://openalex.org/F4320335869","display_name":"National Social Science Fund of China","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":72,"referenced_works":["https://openalex.org/W760855798","https://openalex.org/W799010151","https://openalex.org/W1596233070","https://openalex.org/W1982925187","https://openalex.org/W2056372885","https://openalex.org/W2096733369","https://openalex.org/W2126680226","https://openalex.org/W2138621090","https://openalex.org/W2204750386","https://openalex.org/W2463071499","https://openalex.org/W2511791013","https://openalex.org/W2520433280","https://openalex.org/W2606377603","https://openalex.org/W2608456260","https://openalex.org/W2622829582","https://openalex.org/W2730844222","https://openalex.org/W2762825139","https://openalex.org/W2799185441","https://openalex.org/W2897299964","https://openalex.org/W2900348361","https://openalex.org/W2902259627","https://openalex.org/W2946396216","https://openalex.org/W2953684117","https://openalex.org/W2960065339","https://openalex.org/W2963047834","https://openalex.org/W2963049565","https://openalex.org/W2963180826","https://openalex.org/W2963301258","https://openalex.org/W2963960612","https://openalex.org/W2963972681","https://openalex.org/W2977530922","https://openalex.org/W2980791334","https://openalex.org/W2986451890","https://openalex.org/W2994675267","https://openalex.org/W3016713745","https://openalex.org/W3034417718","https://openalex.org/W3035275216","https://openalex.org/W3045219832","https://openalex.org/W3092106049","https://openalex.org/W3093078906","https://openalex.org/W3096748692","https://openalex.org/W3098711604","https://openalex.org/W3106853541","https://openalex.org/W3112897560","https://openalex.org/W3136565701","https://openalex.org/W3139299097","https://openalex.org/W3139508020","https://openalex.org/W3154344641","https://openalex.org/W3170294077","https://openalex.org/W3174141591","https://openalex.org/W3180143550","https://openalex.org/W3186064588","https://openalex.org/W3194247010","https://openalex.org/W3195939161","https://openalex.org/W3203640349","https://openalex.org/W3205084906","https://openalex.org/W3217561483","https://openalex.org/W4205174466","https://openalex.org/W4221155406","https://openalex.org/W4229019859","https://openalex.org/W4285606561","https://openalex.org/W4287251614","https://openalex.org/W4293363567","https://openalex.org/W4297537984","https://openalex.org/W4304080853","https://openalex.org/W4312453698","https://openalex.org/W4313446414","https://openalex.org/W4321605134","https://openalex.org/W4378373476","https://openalex.org/W4386065939","https://openalex.org/W4386472834","https://openalex.org/W4388116458"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2899084033","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W4391913857","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052"],"abstract_inverted_index":{"The":[0],"key":[1],"to":[2,11,76,100,122,139,185,195],"address":[3],"long-term":[4,163,170],"person":[5],"reidentification":[6],"(Re-ID)":[7],"in":[8,55],"videos":[9],"is":[10,137,151],"extract":[12,101],"invariant":[13],"spatio-temporal":[14],"features":[15,54],"(ISTF),":[16],"which":[17],"can":[18],"be":[19],"broadly":[20],"categorized":[21],"into":[22],"two":[23,144],"forms:":[24],"1)":[25],"clothes-irrelevant":[26,102],"appearance":[27,81,89,103],"such":[28,38],"as":[29,39],"facial":[30],"characteristics":[31],"and":[32,41,71,83],"body":[33],"shape;":[34],"2)":[35],"identity-distinctive":[36,124],"motion":[37,112,125],"posture":[40],"gait.":[42],"However,":[43],"existing":[44],"studies":[45],"mainly":[46],"focus":[47],"on":[48,87,188,198],"mining":[49],"either":[50],"appearance-":[51],"or":[52],"motion-based":[53],"the":[56,62,88,105,110,127,143,180,199],"sequences":[57],"without":[58],"sufficient":[59],"utilization":[60],"of":[61,154],"ISTF.":[63],"In":[64,131],"this":[65],"article,":[66],"we":[67,92,114,158],"propose":[68,115,159],"an":[69,94],"Appearance":[70],"gait-based":[72],"tango":[73],"network":[74],"(AGT-Net)":[75],"comprehensively":[77],"mine":[78],"ISTF":[79],"from":[80,104,126,142],"details":[82],"gait":[84,111,118,129],"motions.":[85],"Specifically,":[86],"detail":[90],"branch,":[91,113],"introduce":[93],"invariance-aware":[95],"video":[96],"Swin":[97],"transformer":[98],"(IA-VST)":[99],"original":[106],"RGB":[107],"sequences.":[108,130],"On":[109],"a":[116,133,152,160],"motion-sensitive":[117],"feature":[119],"extractor":[120],"(MS-GFE)":[121],"learn":[123],"pre-processed":[128],"addition,":[132],"score-level":[134],"fusion":[135],"strategy":[136],"introduced":[138],"integrate":[140],"information":[141],"streams":[145],"for":[146,169],"prediction.":[147],"Besides,":[148],"since":[149],"there":[150],"lack":[153],"publicly":[155],"available":[156],"datasets,":[157],"style-transferring":[161],"synthetic":[162],"Video":[164],"Re-ID":[165,202],"(STYLE-VID)":[166],"dataset,":[167],"particularly":[168],"Re-ID.":[171],"Extensive":[172],"experiments":[173],"demonstrate":[174],"that":[175],"AGT-Net":[176],"not":[177],"only":[178],"outperforms":[179],"state-of-the-art":[181],"methods":[182],"by":[183],"up":[184],"1.5%":[186],"mAP":[187],"STYLE-VID,":[189],"but":[190],"also":[191],"achieves":[192],"comparable":[193],"performance":[194],"other":[196],"models":[197],"traditional":[200],"short-term":[201],"dataset":[203],"MARS.":[204]},"counts_by_year":[],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}