{"id":"https://openalex.org/W3003096301","doi":"https://doi.org/10.1109/besc48373.2019.8963072","title":"Domain-Camera Adaptation for Unsupervised Person Re-Identification","display_name":"Domain-Camera Adaptation for Unsupervised Person Re-Identification","publication_year":2019,"publication_date":"2019-10-01","ids":{"openalex":"https://openalex.org/W3003096301","doi":"https://doi.org/10.1109/besc48373.2019.8963072","mag":"3003096301"},"language":"en","primary_location":{"id":"doi:10.1109/besc48373.2019.8963072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc48373.2019.8963072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5052135875","display_name":"Jiajie Tian","orcid":"https://orcid.org/0000-0003-4425-1293"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajie Tian","raw_affiliation_strings":["Beijing Jiaotong University,dept. the School of Computer and Information Technology,Beijing,China","dept. the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,dept. the School of Computer and Information Technology,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"dept. the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052217154","display_name":"Teng Zhu","orcid":"https://orcid.org/0000-0002-1754-4878"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhu Teng","raw_affiliation_strings":["Beijing Jiaotong University,dept. the School of Computer and Information Technology,Beijing,China","dept. the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,dept. the School of Computer and Information Technology,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"dept. the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100630464","display_name":"Yan Li","orcid":"https://orcid.org/0000-0001-7692-6801"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Li","raw_affiliation_strings":["Beijing Jiaotong University,dept. the School of Computer and Information Technology,Beijing,China","dept. the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,dept. the School of Computer and Information Technology,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"dept. the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100448609","display_name":"Rui Li","orcid":"https://orcid.org/0000-0003-1679-5904"},"institutions":[{"id":"https://openalex.org/I21193070","display_name":"Beijing Jiaotong University","ror":"https://ror.org/01yj56c84","country_code":"CN","type":"education","lineage":["https://openalex.org/I21193070"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Rui Li","raw_affiliation_strings":["Beijing Jiaotong University,dept. the School of Computer and Information Technology,Beijing,China","dept. the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beijing Jiaotong University,dept. the School of Computer and Information Technology,Beijing,China","institution_ids":["https://openalex.org/I21193070"]},{"raw_affiliation_string":"dept. the School of Computer and Information Technology, Beijing Jiaotong University, Beijing, China","institution_ids":["https://openalex.org/I21193070"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107949456","display_name":"Yi Wu","orcid":"https://orcid.org/0009-0006-5822-9010"},"institutions":[{"id":"https://openalex.org/I4210102494","display_name":"Inner Mongolia Electric Power Survey & Design Institute (China)","ror":"https://ror.org/01cg3n190","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210102494"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Wu","raw_affiliation_strings":["Inner Mongolia Novel Transport Productivity Promotion Center,Inner Mongolia,China","Inner Mongolia Novel Transport Productivity Promotion Center, Inner Mongolia, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inner Mongolia Novel Transport Productivity Promotion Center,Inner Mongolia,China","institution_ids":["https://openalex.org/I4210102494"]},{"raw_affiliation_string":"Inner Mongolia Novel Transport Productivity Promotion Center, Inner Mongolia, China","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100728569","display_name":"Jianping Fan","orcid":"https://orcid.org/0000-0003-2290-1785"},"institutions":[{"id":"https://openalex.org/I102149020","display_name":"University of North Carolina at Charlotte","ror":"https://ror.org/04dawnj30","country_code":"US","type":"education","lineage":["https://openalex.org/I102149020"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Jianping Fan","raw_affiliation_strings":["University of North Carolina,dept. Department of Computer Science,Charlotte,NC,USA,28223","dept. Department of Computer Science, University of North Carolina, Charlotte, NC, USA"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of North Carolina,dept. Department of Computer Science,Charlotte,NC,USA,28223","institution_ids":["https://openalex.org/I102149020"]},{"raw_affiliation_string":"dept. Department of Computer Science, University of North Carolina, Charlotte, NC, USA","institution_ids":["https://openalex.org/I102149020"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"4"},"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9932000041007996,"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/T11019","display_name":"Image Enhancement Techniques","score":0.9919999837875366,"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/computer-science","display_name":"Computer science","score":0.7682613134384155},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.745885968208313},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7295692563056946},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.5771299600601196},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.5585181713104248},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5249578952789307},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.43996116518974304},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3876368999481201},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1508074700832367},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.12108230590820312}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7682613134384155},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.745885968208313},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7295692563056946},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.5771299600601196},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.5585181713104248},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5249578952789307},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.43996116518974304},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3876368999481201},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1508074700832367},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.12108230590820312},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/besc48373.2019.8963072","is_oa":false,"landing_page_url":"https://doi.org/10.1109/besc48373.2019.8963072","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Behavioral, Economic and Socio-Cultural Computing (BESC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.699999988079071}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":30,"referenced_works":["https://openalex.org/W1949591461","https://openalex.org/W1963702692","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2327827989","https://openalex.org/W2441160157","https://openalex.org/W2471048925","https://openalex.org/W2511791013","https://openalex.org/W2531440880","https://openalex.org/W2585635281","https://openalex.org/W2593768305","https://openalex.org/W2618353479","https://openalex.org/W2798718722","https://openalex.org/W2799185441","https://openalex.org/W2896016251","https://openalex.org/W2949987290","https://openalex.org/W2963000559","https://openalex.org/W2963047834","https://openalex.org/W2963275094","https://openalex.org/W2963289251","https://openalex.org/W2963557071","https://openalex.org/W2963721283","https://openalex.org/W2963767194","https://openalex.org/W2963983343","https://openalex.org/W6685415078","https://openalex.org/W6718643136","https://openalex.org/W6720021069","https://openalex.org/W6728374919","https://openalex.org/W6738494189"],"related_works":["https://openalex.org/W4389474468","https://openalex.org/W4312246223","https://openalex.org/W4300172004","https://openalex.org/W3196155444","https://openalex.org/W4321649381","https://openalex.org/W4321844043","https://openalex.org/W3210156800","https://openalex.org/W2997645659","https://openalex.org/W4390062853","https://openalex.org/W3180787869"],"abstract_inverted_index":{"Although":[0],"supervised":[1],"person":[2,20],"re-identification":[3],"(Re-ID)":[4],"performance":[5,43],"has":[6],"been":[7],"significantly":[8],"improved":[9],"in":[10,111,150],"recent":[11],"years,":[12],"it":[13],"is":[14,104,141],"still":[15],"a":[16,69,91,129],"challenge":[17],"for":[18],"unsupervised":[19,83,145,171],"Re-Iddue":[21],"to":[22,52,89,105,121,133,142],"its":[23],"absence":[24,108],"of":[25,109,118,144],"labels":[26,110],"across":[27,124,137],"disjoint":[28],"camera":[29,62],"views.":[30],"On":[31],"the":[32,107,163,169],"other":[33],"hand,":[34],"Re-Idmodels":[35],"trained":[36],"on":[37,48,158],"source":[38,71,119],"domain":[39,50,73,94,113,120,123],"usually":[40],"offer":[41],"poor":[42],"when":[44],"they":[45],"are":[46],"tested":[47],"target":[49,77,93,112,122,151],"due":[51],"inter-domain":[53,97],"bias":[54,98],"e.g.":[55],"different":[56],"classes":[57],"and":[58,74,99,160,162],"intra-domain":[59,100],"difference":[60],"e.g":[61],"variance.":[63],"To":[64],"overcome":[65],"this":[66],"problem,":[67],"given":[68],"labeled":[70,116],"training":[72,78],"an":[75,82],"unlabeled":[76],"domain,":[79],"we":[80,127],"propose":[81,128],"transfer":[84],"method,":[85],"Domain-Camera":[86],"Adaptation":[87],"model,":[88],"generate":[90],"pseudo":[92],"by":[95,114,174],"bridging":[96],"difference.":[101],"The":[102,139],"idea":[103],"fill":[106],"transferring":[115],"images":[117],"cameras.":[125],"Then":[126],"cross-domain":[130],"classification":[131],"loss":[132],"extract":[134],"discriminative":[135],"representation":[136],"domains.":[138],"intuition":[140],"think":[143],"learning":[146,149],"as":[147],"semi-supervised":[148],"domain.":[152],"We":[153],"evaluate":[154],"our":[155,166],"deep":[156],"model":[157,167],"Market-1501":[159],"DukeMTMC-reID":[161],"results":[164],"show":[165],"outperforms":[168],"state-of-art":[170],"Re-ID":[172],"methods":[173],"large":[175],"margins.":[176]},"counts_by_year":[],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}
