{"id":"https://openalex.org/W4312429278","doi":"https://doi.org/10.1109/tpami.2022.3226866","title":"Learning Invariance From Generated Variance for Unsupervised Person Re-Identification","display_name":"Learning Invariance From Generated Variance for Unsupervised Person Re-Identification","publication_year":2022,"publication_date":"2022-12-05","ids":{"openalex":"https://openalex.org/W4312429278","doi":"https://doi.org/10.1109/tpami.2022.3226866","pmid":"https://pubmed.ncbi.nlm.nih.gov/37015570"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3226866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3226866","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2301.00725","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100353581","display_name":"Hao Chen","orcid":"https://orcid.org/0000-0002-6853-3298"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I4210117840","display_name":"Institut de Biologie Valrose","ror":"https://ror.org/03bnma344","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I201841394","https://openalex.org/I4210096427","https://openalex.org/I4210117840"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Hao Chen","raw_affiliation_strings":["Inria and Universit&#x00E9; C&#x00F4;te d&#x0027;Azur, Valbonne, France","UniCA - Universit\u00e9 C\u00f4te d'Azur (Parc Valrose, 28, avenue Valrose 06108 Nice Cedex 2 - France)","STARS - Spatio-Temporal Activity Recognition Systems (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)"],"raw_orcid":"https://orcid.org/0000-0002-6853-3298","affiliations":[{"raw_affiliation_string":"Inria and Universit&#x00E9; C&#x00F4;te d&#x0027;Azur, Valbonne, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"UniCA - Universit\u00e9 C\u00f4te d'Azur (Parc Valrose, 28, avenue Valrose 06108 Nice Cedex 2 - France)","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I4210117840"]},{"raw_affiliation_string":"STARS - Spatio-Temporal Activity Recognition Systems (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100672233","display_name":"Yaohui Wang","orcid":"https://orcid.org/0009-0002-6262-7450"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I4210117840","display_name":"Institut de Biologie Valrose","ror":"https://ror.org/03bnma344","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I201841394","https://openalex.org/I4210096427","https://openalex.org/I4210117840"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Yaohui Wang","raw_affiliation_strings":["Inria and Universit&#x00E9; C&#x00F4;te d&#x0027;Azur, Valbonne, France","STARS - Spatio-Temporal Activity Recognition Systems (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)","UniCA - Universit\u00e9 C\u00f4te d'Azur (Parc Valrose, 28, avenue Valrose 06108 Nice Cedex 2 - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria and Universit&#x00E9; C&#x00F4;te d&#x0027;Azur, Valbonne, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"STARS - Spatio-Temporal Activity Recognition Systems (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)","institution_ids":[]},{"raw_affiliation_string":"UniCA - Universit\u00e9 C\u00f4te d'Azur (Parc Valrose, 28, avenue Valrose 06108 Nice Cedex 2 - France)","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I4210117840"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5036606291","display_name":"Benoit Lagadec","orcid":null},"institutions":[{"id":"https://openalex.org/I4210113330","display_name":"Integrity Systems (United States)","ror":"https://ror.org/023n14c26","country_code":"US","type":"company","lineage":["https://openalex.org/I4210113330"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Benoit Lagadec","raw_affiliation_strings":["European Systems Integration, Le Cannet, France","European Systems Integration [Le Cannet] (362 Avenue du Campon, \r\n06110 Le Cannet - France)"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"European Systems Integration, Le Cannet, France","institution_ids":["https://openalex.org/I4210113330"]},{"raw_affiliation_string":"European Systems Integration [Le Cannet] (362 Avenue du Campon, \r\n06110 Le Cannet - France)","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084047603","display_name":"Antitza Dantcheva","orcid":"https://orcid.org/0000-0003-0107-7029"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I4210117840","display_name":"Institut de Biologie Valrose","ror":"https://ror.org/03bnma344","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I201841394","https://openalex.org/I4210096427","https://openalex.org/I4210117840"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antitza Dantcheva","raw_affiliation_strings":["Inria and Universit&#x00E9; C&#x00F4;te d&#x0027;Azur, Valbonne, France","UniCA - Universit\u00e9 C\u00f4te d'Azur (Parc Valrose, 28, avenue Valrose 06108 Nice Cedex 2 - France)","STARS - Spatio-Temporal Activity Recognition Systems (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)"],"raw_orcid":"https://orcid.org/0000-0003-0107-7029","affiliations":[{"raw_affiliation_string":"Inria and Universit&#x00E9; C&#x00F4;te d&#x0027;Azur, Valbonne, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"UniCA - Universit\u00e9 C\u00f4te d'Azur (Parc Valrose, 28, avenue Valrose 06108 Nice Cedex 2 - France)","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I4210117840"]},{"raw_affiliation_string":"STARS - Spatio-Temporal Activity Recognition Systems (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5037298642","display_name":"Fran\u00e7ois Br\u00e9mond","orcid":"https://orcid.org/0000-0003-2988-2142"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I201841394","display_name":"Universit\u00e9 C\u00f4te d'Azur","ror":"https://ror.org/019tgvf94","country_code":"FR","type":"education","lineage":["https://openalex.org/I201841394"]},{"id":"https://openalex.org/I4210117840","display_name":"Institut de Biologie Valrose","ror":"https://ror.org/03bnma344","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I154526488","https://openalex.org/I201841394","https://openalex.org/I4210096427","https://openalex.org/I4210117840"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Francois Bremond","raw_affiliation_strings":["Inria and Universit&#x00E9; C&#x00F4;te d&#x0027;Azur, Valbonne, France","UniCA - Universit\u00e9 C\u00f4te d'Azur (Parc Valrose, 28, avenue Valrose 06108 Nice Cedex 2 - France)","STARS - Spatio-Temporal Activity Recognition Systems (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)"],"raw_orcid":"https://orcid.org/0000-0003-2988-2142","affiliations":[{"raw_affiliation_string":"Inria and Universit&#x00E9; C&#x00F4;te d&#x0027;Azur, Valbonne, France","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"UniCA - Universit\u00e9 C\u00f4te d'Azur (Parc Valrose, 28, avenue Valrose 06108 Nice Cedex 2 - France)","institution_ids":["https://openalex.org/I201841394","https://openalex.org/I4210117840"]},{"raw_affiliation_string":"STARS - Spatio-Temporal Activity Recognition Systems (2004 route des Lucioles BP 93 06902 Sophia Antipolis - France)","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":2.9155,"has_fulltext":true,"cited_by_count":37,"citation_normalized_percentile":{"value":0.92749429,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"45","issue":"6","first_page":"7494","last_page":"7508"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9998999834060669,"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":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9961000084877014,"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/T12740","display_name":"Gait Recognition and Analysis","score":0.9908999800682068,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7299575805664062},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6977852582931519},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6376570463180542},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5775114297866821},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.5327926278114319},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5319998860359192},{"id":"https://openalex.org/keywords/identification","display_name":"Identification (biology)","score":0.5310184359550476},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5017297267913818},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.499417781829834},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.48115217685699463},{"id":"https://openalex.org/keywords/variance","display_name":"Variance (accounting)","score":0.46208545565605164},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4485152065753937},{"id":"https://openalex.org/keywords/unsupervised-learning","display_name":"Unsupervised learning","score":0.43798452615737915},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3635990023612976}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7299575805664062},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6977852582931519},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6376570463180542},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5775114297866821},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.5327926278114319},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5319998860359192},{"id":"https://openalex.org/C116834253","wikidata":"https://www.wikidata.org/wiki/Q2039217","display_name":"Identification (biology)","level":2,"score":0.5310184359550476},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5017297267913818},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.499417781829834},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.48115217685699463},{"id":"https://openalex.org/C196083921","wikidata":"https://www.wikidata.org/wiki/Q7915758","display_name":"Variance (accounting)","level":2,"score":0.46208545565605164},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4485152065753937},{"id":"https://openalex.org/C8038995","wikidata":"https://www.wikidata.org/wiki/Q1152135","display_name":"Unsupervised learning","level":2,"score":0.43798452615737915},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3635990023612976},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C121955636","wikidata":"https://www.wikidata.org/wiki/Q4116214","display_name":"Accounting","level":1,"score":0.0},{"id":"https://openalex.org/C144133560","wikidata":"https://www.wikidata.org/wiki/Q4830453","display_name":"Business","level":0,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/tpami.2022.3226866","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3226866","pdf_url":null,"source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","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 Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:37015570","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/37015570","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null},{"id":"pmh:oai:arXiv.org:2301.00725","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.00725","pdf_url":"https://arxiv.org/pdf/2301.00725","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},{"id":"pmh:oai:HAL:hal-03931340v1","is_oa":true,"landing_page_url":"https://hal.science/hal-03931340","pdf_url":null,"source":{"id":"https://openalex.org/S4306402512","display_name":"HAL (Le Centre pour la Communication Scientifique Directe)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1294671590","host_organization_name":"Centre National de la Recherche Scientifique","host_organization_lineage":["https://openalex.org/I1294671590"],"host_organization_lineage_names":[],"type":"repository"},"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence, In press, pp.1-15. &#x27E8;10.1109/TPAMI.2022.3226866&#x27E9;","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2301.00725","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2301.00725","pdf_url":"https://arxiv.org/pdf/2301.00725","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.46000000834465027}],"awards":[{"id":"https://openalex.org/G2113015678","display_name":"3IA C\u00f4te d'Azur","funder_award_id":"ANR-19-P3IA-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8202435710","display_name":null,"funder_award_id":"19-P3IA-0002","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"},{"id":"https://openalex.org/G8318455765","display_name":null,"funder_award_id":"ANR-19","funder_id":"https://openalex.org/F4320320883","funder_display_name":"Agence Nationale de la Recherche"}],"funders":[{"id":"https://openalex.org/F4320320883","display_name":"Agence Nationale de la Recherche","ror":"https://ror.org/00rbzpz17"}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4312429278.pdf","grobid_xml":"https://content.openalex.org/works/W4312429278.grobid-xml"},"referenced_works_count":97,"referenced_works":["https://openalex.org/W1673310716","https://openalex.org/W2117539524","https://openalex.org/W2138621090","https://openalex.org/W2194775991","https://openalex.org/W2204750386","https://openalex.org/W2511791013","https://openalex.org/W2520433280","https://openalex.org/W2559085405","https://openalex.org/W2584637367","https://openalex.org/W2585635281","https://openalex.org/W2603777577","https://openalex.org/W2765407302","https://openalex.org/W2798991696","https://openalex.org/W2799107345","https://openalex.org/W2799185441","https://openalex.org/W2890159224","https://openalex.org/W2891440844","https://openalex.org/W2895589658","https://openalex.org/W2896016251","https://openalex.org/W2904427185","https://openalex.org/W2947319827","https://openalex.org/W2953214814","https://openalex.org/W2962793481","https://openalex.org/W2962859295","https://openalex.org/W2963031676","https://openalex.org/W2963047834","https://openalex.org/W2963049565","https://openalex.org/W2963073614","https://openalex.org/W2963152148","https://openalex.org/W2963289251","https://openalex.org/W2963557071","https://openalex.org/W2963574614","https://openalex.org/W2963684088","https://openalex.org/W2963842104","https://openalex.org/W2963854696","https://openalex.org/W2963983343","https://openalex.org/W2963995996","https://openalex.org/W2964186374","https://openalex.org/W2964344300","https://openalex.org/W2978426779","https://openalex.org/W2981978388","https://openalex.org/W2982026851","https://openalex.org/W2983640911","https://openalex.org/W2988852559","https://openalex.org/W2989812746","https://openalex.org/W2992308087","https://openalex.org/W2994088087","https://openalex.org/W2995852213","https://openalex.org/W2996501936","https://openalex.org/W2996988779","https://openalex.org/W2997310315","https://openalex.org/W2997917485","https://openalex.org/W2998508940","https://openalex.org/W2998792609","https://openalex.org/W3005680577","https://openalex.org/W3008706867","https://openalex.org/W3009238880","https://openalex.org/W3009561768","https://openalex.org/W3034727830","https://openalex.org/W3034903425","https://openalex.org/W3035060554","https://openalex.org/W3035402405","https://openalex.org/W3035524453","https://openalex.org/W3036224891","https://openalex.org/W3095890822","https://openalex.org/W3103633674","https://openalex.org/W3106772544","https://openalex.org/W3108381568","https://openalex.org/W3125736290","https://openalex.org/W3171007011","https://openalex.org/W3173329034","https://openalex.org/W3173777106","https://openalex.org/W3177342236","https://openalex.org/W4287114736","https://openalex.org/W4287592659","https://openalex.org/W4288419182","https://openalex.org/W4288944547","https://openalex.org/W4295312788","https://openalex.org/W4300833946","https://openalex.org/W4311811531","https://openalex.org/W4320013936","https://openalex.org/W4380224552","https://openalex.org/W6685352114","https://openalex.org/W6745136726","https://openalex.org/W6752477645","https://openalex.org/W6754663736","https://openalex.org/W6754783249","https://openalex.org/W6760184523","https://openalex.org/W6762913911","https://openalex.org/W6766978945","https://openalex.org/W6767213177","https://openalex.org/W6767370287","https://openalex.org/W6770979763","https://openalex.org/W6771395016","https://openalex.org/W6771787070","https://openalex.org/W6774670964","https://openalex.org/W6779997284"],"related_works":["https://openalex.org/W3174759195","https://openalex.org/W3167013339","https://openalex.org/W4287121366","https://openalex.org/W60493759","https://openalex.org/W3213069564","https://openalex.org/W4386437125","https://openalex.org/W4308619659","https://openalex.org/W4293529806","https://openalex.org/W4389072551","https://openalex.org/W4378421684"],"abstract_inverted_index":{"This":[0],"work":[1,107],"focuses":[2],"on":[3,42,119,160],"unsupervised":[4,156],"representation":[5,21],"learning":[6,14],"in":[7,50,108],"person":[8,84,92,157],"re-identification":[9],"(ReID).":[10],"Recent":[11],"self-supervised":[12],"contrastive":[13,78,129,149],"methods":[15,104],"learn":[16,135],"invariance":[17,136],"by":[18],"maximizing":[19],"the":[20,38,145,148],"similarity":[22],"between":[23],"two":[24],"augmented":[25,75],"views":[26,76],"of":[27],"a":[28,65,91],"same":[29],"image.":[30],"However,":[31],"traditional":[32,61],"data":[33,62],"augmentation":[34,63,118],"may":[35],"bring":[36],"to":[37,59,73,89,131],"fore":[39],"undesirable":[40],"distortions":[41],"identity":[43],"features,":[44],"which":[45],"is":[46,71,87],"not":[47],"always":[48],"favorable":[49],"id-sensitive":[51],"ReID":[52,103,158],"tasks.":[53],"In":[54],"this":[55],"article,":[56],"we":[57,115],"propose":[58,127],"replace":[60],"with":[64],"generative":[66,146],"adversarial":[67],"network":[68,134],"(GAN)":[69],"that":[70,105],"targeted":[72],"generate":[74],"for":[77],"learning.":[79],"A":[80],"3D":[81],"mesh":[82],"guided":[83],"image":[85,93],"generator":[86],"proposed":[88],"disentangle":[90],"into":[94],"id-related":[95,123,140],"and":[96,112,122,139,147],"id-unrelated":[97,109,121,138],"features.":[98,124],"Deviating":[99],"from":[100,137],"previous":[101],"GAN-based":[102,117],"only":[106],"space":[110],"(pose":[111],"camera":[113],"style),":[114],"conduct":[116],"both":[120],"We":[125],"further":[126],"specific":[128],"losses":[130],"help":[132],"our":[133,151],"augmentations.":[141],"By":[142],"jointly":[143],"training":[144],"modules,":[150],"method":[152],"achieves":[153],"new":[154],"state-of-the-art":[155],"performance":[159],"mainstream":[161],"large-scale":[162],"benchmarks.":[163]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":10},{"year":2024,"cited_by_count":13},{"year":2023,"cited_by_count":12},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-25T09:21:30.201066","created_date":"2025-10-10T00:00:00"}
