{"id":"https://openalex.org/W4396948961","doi":"https://doi.org/10.1109/tcsvt.2024.3402109","title":"Camera-Aware Differentiated Clustering With Focal Contrastive Learning for Unsupervised Vehicle Re-Identification","display_name":"Camera-Aware Differentiated Clustering With Focal Contrastive Learning for Unsupervised Vehicle Re-Identification","publication_year":2024,"publication_date":"2024-05-16","ids":{"openalex":"https://openalex.org/W4396948961","doi":"https://doi.org/10.1109/tcsvt.2024.3402109"},"language":"en","primary_location":{"id":"doi:10.1109/tcsvt.2024.3402109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3402109","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":"https://openalex.org/A5103109297","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":true,"raw_author_name":"Mingkai Qiu","raw_affiliation_strings":["School of Intelligent Systems Engineering, Sun Yat-sen University, Shenzhen, China"],"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"],"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"],"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":"https://openalex.org/A5090328879","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"],"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":4,"corresponding_author_ids":["https://openalex.org/A5103109297"],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":0.7479,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.70150203,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":96,"max":97},"biblio":{"volume":"34","issue":"10","first_page":"10121","last_page":"10134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":1.0,"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":1.0,"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/T11512","display_name":"Anomaly Detection Techniques and Applications","score":0.9940000176429749,"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/T11099","display_name":"Autonomous Vehicle Technology and Safety","score":0.9922999739646912,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.714073657989502},{"id":"https://openalex.org/keywords/cluster-analysis","display_name":"Cluster analysis","score":0.7033982276916504},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6104952096939087},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5928367376327515},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.4990863800048828},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42620569467544556},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4048180878162384}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.714073657989502},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.7033982276916504},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6104952096939087},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5928367376327515},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.4990863800048828},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42620569467544556},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4048180878162384},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tcsvt.2024.3402109","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tcsvt.2024.3402109","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":[],"awards":[{"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/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":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2016698498","https://openalex.org/W2108598243","https://openalex.org/W2120861206","https://openalex.org/W2160642098","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2584637367","https://openalex.org/W2604211872","https://openalex.org/W2756012011","https://openalex.org/W2772144603","https://openalex.org/W2953214814","https://openalex.org/W2953759675","https://openalex.org/W2957037461","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962859295","https://openalex.org/W2963047834","https://openalex.org/W2963073614","https://openalex.org/W2963975998","https://openalex.org/W2982026851","https://openalex.org/W2999929549","https://openalex.org/W3010811777","https://openalex.org/W3023555840","https://openalex.org/W3034607353","https://openalex.org/W3034903425","https://openalex.org/W3035402405","https://openalex.org/W3081907075","https://openalex.org/W3108381568","https://openalex.org/W3109976102","https://openalex.org/W3174940004","https://openalex.org/W3176033671","https://openalex.org/W3184225461","https://openalex.org/W3185727700","https://openalex.org/W3195315925","https://openalex.org/W3196659278","https://openalex.org/W3203755984","https://openalex.org/W3204330270","https://openalex.org/W4200342123","https://openalex.org/W4205357206","https://openalex.org/W4296685493","https://openalex.org/W4299381621","https://openalex.org/W4310641545","https://openalex.org/W4312666664","https://openalex.org/W4312716349","https://openalex.org/W4313013512","https://openalex.org/W4319999978","https://openalex.org/W4322096648","https://openalex.org/W4328007737","https://openalex.org/W4380793019","https://openalex.org/W4385252954","https://openalex.org/W4387831882","https://openalex.org/W4389104588","https://openalex.org/W6631190155","https://openalex.org/W6637131181","https://openalex.org/W6678040779","https://openalex.org/W6682948231","https://openalex.org/W6771395016","https://openalex.org/W6779510507"],"related_works":["https://openalex.org/W4298130764","https://openalex.org/W2804364458","https://openalex.org/W2132641928","https://openalex.org/W4310225030","https://openalex.org/W2090259340","https://openalex.org/W1926736923","https://openalex.org/W2158836806","https://openalex.org/W2393816671","https://openalex.org/W2083665254","https://openalex.org/W2942177010"],"abstract_inverted_index":{"Most":[0],"existing":[1],"research":[2],"on":[3,8,48,211],"vehicle":[4,50,54,78,98],"re-identification":[5],"(Re-ID)":[6],"focuses":[7],"supervised":[9],"methods,":[10],"while":[11],"unsupervised":[12,30,49,77,97],"methods":[13,33],"that":[14,34,107,150],"can":[15,44],"take":[16],"advantage":[17],"of":[18,28,169,181,218,225],"massive":[19],"unlabeled":[20],"data":[21],"are":[22,151],"underexplored.":[23],"Due":[24],"to":[25,37,71,124,155,198],"the":[26,102,130,156,167,179,200,216,223,226],"similarity":[27],"tasks,":[29],"person":[31],"Re-ID":[32,51,99],"employ":[35],"clustering":[36,89,105,119,132,148],"generate":[38],"pseudo":[39,73,170,185],"labels":[40,171,186],"for":[41,76,96,113,177],"model":[42],"training":[43],"achieve":[45],"good":[46],"performance":[47],"task.":[52,100],"However,":[53],"exhibit":[55],"higher":[56],"intra-ID":[57],"compactness":[58],"and":[59,140,143,162,183,190,206,213,222],"inter-ID":[60],"separability":[61],"within":[62,161,205],"camera":[63],"than":[64],"person,":[65],"which":[66],"has":[67],"not":[68],"been":[69],"exploited":[70],"reduce":[72,125],"label":[74,126],"noise":[75],"Re-ID.":[79],"To":[80],"address":[81],"this":[82],"issue,":[83],"we":[84],"propose":[85],"a":[86,109,116,175,191],"camera-aware":[87,117],"differentiated":[88,118],"with":[90],"focal":[91,192],"contrastive":[92,193],"learning":[93,194],"(CDF)":[94],"method":[95],"Unlike":[101],"conventional":[103],"global":[104],"approach":[106,121],"adopts":[108,146],"uniform":[110],"processing":[111],"strategy":[112],"pseudo-label":[114],"generation,":[115],"(CDC)":[120],"is":[122,134,187,196],"designed":[123,153,220],"noise.":[127],"In":[128],"CDC,":[129,174],"entire":[131],"process":[133],"divided":[135],"into":[136],"two":[137],"stages:":[138],"inter-camera":[139,182],"intra-camera":[141,184],"clustering,":[142],"each":[144,219],"stage":[145],"different":[147],"strategies":[149],"carefully":[152],"according":[154],"differences":[157],"in":[158],"feature":[159],"distribution":[160,168],"across":[163,207],"cameras.":[164,208],"By":[165],"considering":[166],"generated":[172],"by":[173],"measure":[176],"calculating":[178],"reliability":[180],"further":[188],"designed,":[189],"loss":[195],"proposed":[197],"improve":[199],"model\u2019s":[201],"ID":[202],"discrimination":[203],"ability":[204],"Extensive":[209],"experiments":[210],"VeRi-776":[212],"VERI-Wild":[214],"demonstrate":[215],"effectiveness":[217],"component":[221],"superiority":[224],"CDF.":[227]},"counts_by_year":[{"year":2025,"cited_by_count":3}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}