{"id":"https://openalex.org/W4403123490","doi":"https://doi.org/10.1109/tits.2024.3464585","title":"Inter-Intra Cluster Reorganization for Unsupervised Vehicle Re-Identification","display_name":"Inter-Intra Cluster Reorganization for Unsupervised Vehicle Re-Identification","publication_year":2024,"publication_date":"2024-10-04","ids":{"openalex":"https://openalex.org/W4403123490","doi":"https://doi.org/10.1109/tits.2024.3464585"},"language":"en","primary_location":{"id":"doi:10.1109/tits.2024.3464585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3464585","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation 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":null,"display_name":"Mingkai Qiu","orcid":"https://orcid.org/0009-0004-2847-407X"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Mingkai Qiu","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0009-0004-2847-407X","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042609135","display_name":"Yuhuan Lu","orcid":"https://orcid.org/0000-0001-5332-3389"},"institutions":[{"id":"https://openalex.org/I204512498","display_name":"University of Macau","ror":"https://ror.org/01r4q9n85","country_code":"MO","type":"education","lineage":["https://openalex.org/I204512498"]}],"countries":["MO"],"is_corresponding":false,"raw_author_name":"Yuhuan Lu","raw_affiliation_strings":["Department of Computer and Information Science, University of Macau, Macau, China"],"raw_orcid":"https://orcid.org/0000-0001-5332-3389","affiliations":[{"raw_affiliation_string":"Department of Computer and Information Science, University of Macau, Macau, China","institution_ids":["https://openalex.org/I204512498"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077419230","display_name":"Xiying Li","orcid":"https://orcid.org/0000-0002-4753-8022"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiying Li","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-4753-8022","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":null,"display_name":"Qiang Lu","orcid":"https://orcid.org/0000-0002-6071-4481"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Lu","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"raw_orcid":"https://orcid.org/0000-0002-6071-4481","affiliations":[{"raw_affiliation_string":"School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":{"value":2495,"currency":"USD","value_usd":2495},"apc_paid":null,"fwci":0.1529,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.440705,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":94},"biblio":{"volume":"25","issue":"12","first_page":"20493","last_page":"20507"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8802000284194946,"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"}},"topics":[{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.8802000284194946,"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"}},{"id":"https://openalex.org/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.8399999737739563,"subfield":{"id":"https://openalex.org/subfields/2203","display_name":"Automotive 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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.7587000131607056,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.6320158243179321},{"id":"https://openalex.org/keywords/cluster","display_name":"Cluster (spacecraft)","score":0.584358274936676},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5314988493919373},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.48374342918395996},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.34945619106292725},{"id":"https://openalex.org/keywords/computer-network","display_name":"Computer network","score":0.09473460912704468},{"id":"https://openalex.org/keywords/biology","display_name":"Biology","score":0.08174318075180054}],"concepts":[{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.6320158243179321},{"id":"https://openalex.org/C164866538","wikidata":"https://www.wikidata.org/wiki/Q367351","display_name":"Cluster (spacecraft)","level":2,"score":0.584358274936676},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5314988493919373},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.48374342918395996},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.34945619106292725},{"id":"https://openalex.org/C31258907","wikidata":"https://www.wikidata.org/wiki/Q1301371","display_name":"Computer network","level":1,"score":0.09473460912704468},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.08174318075180054},{"id":"https://openalex.org/C59822182","wikidata":"https://www.wikidata.org/wiki/Q441","display_name":"Botany","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tits.2024.3464585","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tits.2024.3464585","pdf_url":null,"source":{"id":"https://openalex.org/S144771191","display_name":"IEEE Transactions on Intelligent Transportation Systems","issn_l":"1524-9050","issn":["1524-9050","1558-0016"],"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 Intelligent Transportation Systems","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G231254599","display_name":null,"funder_award_id":"2022A1515010361","funder_id":"https://openalex.org/F4320320671","funder_display_name":"National Research Foundation"},{"id":"https://openalex.org/G4913667843","display_name":null,"funder_award_id":"2022A1515010361","funder_id":"https://openalex.org/F4320337111","funder_display_name":"Basic and Applied Basic Research Foundation of Guangdong Province"},{"id":"https://openalex.org/G5300662989","display_name":null,"funder_award_id":"U21B2090","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320320671","display_name":"National Research Foundation","ror":"https://ror.org/05s0g1g46"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320337111","display_name":"Basic and Applied Basic Research Foundation of Guangdong Province","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":74,"referenced_works":["https://openalex.org/W2016698498","https://openalex.org/W2108598243","https://openalex.org/W2160642098","https://openalex.org/W2194775991","https://openalex.org/W2470322391","https://openalex.org/W2584637367","https://openalex.org/W2604211872","https://openalex.org/W2756012011","https://openalex.org/W2799107345","https://openalex.org/W2896016251","https://openalex.org/W2904427185","https://openalex.org/W2953759675","https://openalex.org/W2954626788","https://openalex.org/W2957037461","https://openalex.org/W2962793481","https://openalex.org/W2962858109","https://openalex.org/W2962859295","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963073614","https://openalex.org/W2963975998","https://openalex.org/W2982026851","https://openalex.org/W2986968301","https://openalex.org/W3004259714","https://openalex.org/W3008706867","https://openalex.org/W3009238880","https://openalex.org/W3015309773","https://openalex.org/W3031868989","https://openalex.org/W3034218934","https://openalex.org/W3034607353","https://openalex.org/W3034727830","https://openalex.org/W3034903425","https://openalex.org/W3040483885","https://openalex.org/W3095987504","https://openalex.org/W3106858249","https://openalex.org/W3108381568","https://openalex.org/W3120575095","https://openalex.org/W3121148671","https://openalex.org/W3136038792","https://openalex.org/W3170615377","https://openalex.org/W3173909755","https://openalex.org/W3174337559","https://openalex.org/W3174940004","https://openalex.org/W3176033671","https://openalex.org/W3195315925","https://openalex.org/W3195560240","https://openalex.org/W3196659278","https://openalex.org/W3203755984","https://openalex.org/W3204330270","https://openalex.org/W3217075224","https://openalex.org/W4214838887","https://openalex.org/W4226104430","https://openalex.org/W4283817315","https://openalex.org/W4285204121","https://openalex.org/W4293198324","https://openalex.org/W4295035973","https://openalex.org/W4310927990","https://openalex.org/W4312666664","https://openalex.org/W4312764495","https://openalex.org/W4313013512","https://openalex.org/W4319999978","https://openalex.org/W4322096648","https://openalex.org/W4322731400","https://openalex.org/W4366378394","https://openalex.org/W4386065422","https://openalex.org/W4386918845","https://openalex.org/W4388336622","https://openalex.org/W4389610037","https://openalex.org/W4390874178","https://openalex.org/W6631190155","https://openalex.org/W6637131181","https://openalex.org/W6771395016","https://openalex.org/W6779510507","https://openalex.org/W6810616416"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W2033914206","https://openalex.org/W2042327336"],"abstract_inverted_index":{"State-of-the-art":[0],"unsupervised":[1],"object":[2],"re-identification":[3],"(Re-ID)":[4],"methods":[5],"conduct":[6],"model":[7,187],"training":[8,188],"with":[9],"pseudo":[10],"labels":[11],"generated":[12],"by":[13],"clustering":[14,31,95,126],"techniques.":[15],"Unfortunately,":[16],"due":[17],"to":[18,75,137,156,164,178,189],"the":[19,42,53,59,77,98,123,139,146,158,165,181],"existence":[20],"of":[21,41,61,64,118,141,183],"inter-ID":[22],"similarity":[23],"and":[24,82,198,205],"intra-ID":[25],"variance":[26],"problems":[27],"in":[28,45,58,186],"vehicle":[29,44],"Re-ID,":[30],"sometimes":[32],"mixes":[33],"different":[34,46,49],"similar":[35],"vehicles":[36],"together":[37],"or":[38],"splits":[39],"images":[40],"same":[43,166],"views":[47],"into":[48,114],"clusters.":[50],"To":[51],"enhance":[52],"model\u2019s":[54],"ID":[55],"discrimination":[56,154],"capability":[57],"presence":[60],"such":[62],"kinds":[63],"label":[65],"noise,":[66],"we":[67,101,149,172],"propose":[68,150],"an":[69,151],"inter-intra":[70],"cluster":[71,113,153],"reorganization":[72],"approach":[73],"(ICR)":[74],"reorganize":[76],"relationship":[78],"between":[79,83],"instances":[80],"within":[81],"clusters,":[84],"which":[85,110],"can":[86,206],"provide":[87],"higher-quality":[88],"contrastive":[89,143,176,192],"learning":[90],"guidance":[91],"based":[92,121],"on":[93,122,169,196],"existing":[94],"results.":[96,127],"In":[97,145],"intra-cluster":[99,142],"reorganization,":[100,148],"design":[102,130,173],"a":[103,131,174],"camera-aware":[104],"maximum":[105],"reliability":[106,136,140],"sub-cluster":[107],"organization":[108],"approach,":[109],"reorganizes":[111],"each":[112],"several":[115],"intersecting":[116],"sub-clusters":[117],"higher":[119],"quality":[120],"finer":[124],"intra-camera":[125],"We":[128],"further":[129],"novel":[132],"metric":[133],"called":[134],"centroid":[135],"measure":[138,157],"learning.":[144,193],"inter-cluster":[147],"ambiguous":[152,184],"criterion":[155],"probability":[159],"that":[160,201],"two":[161],"clusters":[162,185],"belong":[163],"vehicle.":[167],"Based":[168],"this":[170],"criterion,":[171],"focal":[175],"loss":[177],"adaptively":[179],"re-organize":[180],"contribution":[182],"perform":[190],"better":[191],"Extensive":[194],"experiments":[195],"VeRi-776":[197],"VERI-Wild":[199],"demonstrate":[200],"ICR":[202],"is":[203],"effective":[204],"achieve":[207],"state-of-the-art":[208],"performance.":[209]},"counts_by_year":[{"year":2025,"cited_by_count":1}],"updated_date":"2026-08-28T12:50:07.497085","created_date":"2025-10-10T00:00:00"}
