{"id":"https://openalex.org/W3205269877","doi":"https://doi.org/10.1109/wacv51458.2022.00122","title":"Face Verification with Challenging Imposters and Diversified Demographics","display_name":"Face Verification with Challenging Imposters and Diversified Demographics","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W3205269877","doi":"https://doi.org/10.1109/wacv51458.2022.00122","mag":"3205269877"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv51458.2022.00122","pdf_url":null,"source":{"id":"https://openalex.org/S4363607979","display_name":"2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://cea.hal.science/cea-04496712/file/favci2d_wacv_2022_NoteIEEE.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5037268828","display_name":"Adrian Popescu","orcid":"https://orcid.org/0000-0002-8099-824X"},"institutions":[{"id":"https://openalex.org/I4210085861","display_name":"CEA LIST","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adrian Popescu","raw_affiliation_strings":["Université Paris-Saclay,CEA, List,Palaiseau,France,F-91120"],"affiliations":[{"raw_affiliation_string":"Université Paris-Saclay,CEA, List,Palaiseau,France,F-91120","institution_ids":["https://openalex.org/I4210085861","https://openalex.org/I2738703131"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062563309","display_name":"Liviu-Daniel \u015etefan","orcid":"https://orcid.org/0000-0001-9174-3923"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Liviu-Daniel Stefan","raw_affiliation_strings":["University Politehnica of Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088221132","display_name":"J\u00e9r\u00f4me Deshayes-Chossart","orcid":"https://orcid.org/0009-0004-2953-6412"},"institutions":[{"id":"https://openalex.org/I4210085861","display_name":"CEA LIST","ror":"https://ror.org/000dbcc61","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131","https://openalex.org/I4210085861","https://openalex.org/I4210117989"]},{"id":"https://openalex.org/I2738703131","display_name":"Commissariat \u00e0 l'\u00c9nergie Atomique et aux \u00c9nergies Alternatives","ror":"https://ror.org/00jjx8s55","country_code":"FR","type":"government","lineage":["https://openalex.org/I2738703131"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Jerome Deshayes-Chossart","raw_affiliation_strings":["Université Paris-Saclay,CEA, List,Palaiseau,France,F-91120"],"affiliations":[{"raw_affiliation_string":"Université Paris-Saclay,CEA, List,Palaiseau,France,F-91120","institution_ids":["https://openalex.org/I4210085861","https://openalex.org/I2738703131"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051234459","display_name":"Bogdan Ionescu","orcid":"https://orcid.org/0000-0003-4112-5769"},"institutions":[{"id":"https://openalex.org/I61641377","display_name":"Universitatea Na\u021bional\u0103 de \u0218tiin\u021b\u0103 \u0219i Tehnologie Politehnica Bucure\u0219ti","ror":"https://ror.org/0558j5q12","country_code":"RO","type":"education","lineage":["https://openalex.org/I61641377"]}],"countries":["RO"],"is_corresponding":false,"raw_author_name":"Bogdan Ionescu","raw_affiliation_strings":["University Politehnica of Bucharest, Romania"],"affiliations":[{"raw_affiliation_string":"University Politehnica of Bucharest, Romania","institution_ids":["https://openalex.org/I61641377"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.308,"has_fulltext":true,"fulltext_origin":"pdf","cited_by_count":3,"citation_normalized_percentile":{"value":0.681005,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":76,"max":80},"biblio":{"volume":null,"issue":null,"first_page":"1151","last_page":"1160"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T11094","display_name":"Face Recognition and Perception","score":0.9933,"subfield":{"id":"https://openalex.org/subfields/2805","display_name":"Cognitive Neuroscience"},"field":{"id":"https://openalex.org/fields/28","display_name":"Neuroscience"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}},{"id":"https://openalex.org/T10828","display_name":"Biometric Identification and Security","score":0.9796,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/demographics","display_name":"Demographics","score":0.8351195},{"id":"https://openalex.org/keywords/generality","display_name":"Generality","score":0.41815898}],"concepts":[{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.8351195},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7803755},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.710783},{"id":"https://openalex.org/C93518851","wikidata":"https://www.wikidata.org/wiki/Q180160","display_name":"Metadata","level":2,"score":0.6283252},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5744011},{"id":"https://openalex.org/C2522767166","wikidata":"https://www.wikidata.org/wiki/Q2374463","display_name":"Data science","level":1,"score":0.47587767},{"id":"https://openalex.org/C2781316041","wikidata":"https://www.wikidata.org/wiki/Q1230584","display_name":"Diversity (politics)","level":2,"score":0.4670818},{"id":"https://openalex.org/C2780767217","wikidata":"https://www.wikidata.org/wiki/Q5532421","display_name":"Generality","level":2,"score":0.41815898},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40070173},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.22311676},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0841656},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0728488},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.07202035},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C542102704","wikidata":"https://www.wikidata.org/wiki/Q183257","display_name":"Psychotherapist","level":1,"score":0.0}],"mesh":[],"locations_count":5,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv51458.2022.00122","pdf_url":null,"source":{"id":"https://openalex.org/S4363607979","display_name":"2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://cea.hal.science/cea-04496712/file/favci2d_wacv_2022_NoteIEEE.pdf","pdf_url":"https://cea.hal.science/cea-04496712/file/favci2d_wacv_2022_NoteIEEE.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://cea.hal.science/cea-04496712/document","pdf_url":"https://cea.hal.science/cea-04496712/document","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true},{"is_oa":true,"landing_page_url":"https://zenodo.org/record/5565318","pdf_url":"https://zenodo.org/records/5565318/files/1130_supp.pdf","source":{"id":"https://openalex.org/S4306400562","display_name":"Zenodo (CERN European Organization for Nuclear Research)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I67311998","host_organization_name":"European Organization for Nuclear Research","host_organization_lineage":["https://openalex.org/I67311998"],"host_organization_lineage_names":["European Organization for Nuclear Research"],"type":"repository"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false},{"is_oa":true,"landing_page_url":"https://arxiv.org/abs/2110.08667","pdf_url":"https://arxiv.org/pdf/2110.08667","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":["Cornell University"],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false}],"best_oa_location":{"is_oa":true,"landing_page_url":"https://cea.hal.science/cea-04496712/file/favci2d_wacv_2022_NoteIEEE.pdf","pdf_url":"https://cea.hal.science/cea-04496712/file/favci2d_wacv_2022_NoteIEEE.pdf","source":null,"license":"other-oa","license_id":"https://openalex.org/licenses/other-oa","version":"publishedVersion","is_accepted":true,"is_published":true},"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":35,"referenced_works":["https://openalex.org/W1969576044","https://openalex.org/W1989702938","https://openalex.org/W2019464758","https://openalex.org/W2054831469","https://openalex.org/W2096733369","https://openalex.org/W2144724620","https://openalex.org/W2150114777","https://openalex.org/W2185115617","https://openalex.org/W2250384498","https://openalex.org/W2292253565","https://openalex.org/W2469532945","https://openalex.org/W2515770085","https://openalex.org/W2769905613","https://openalex.org/W2788481061","https://openalex.org/W2792911268","https://openalex.org/W2794670651","https://openalex.org/W2798807671","https://openalex.org/W2871667416","https://openalex.org/W2910603373","https://openalex.org/W2914454064","https://openalex.org/W2939156681","https://openalex.org/W2963671154","https://openalex.org/W2963839617","https://openalex.org/W2963976704","https://openalex.org/W2967013449","https://openalex.org/W2969985801","https://openalex.org/W2982232682","https://openalex.org/W2994828068","https://openalex.org/W3046819526","https://openalex.org/W3099206234","https://openalex.org/W3103977047","https://openalex.org/W3104942706","https://openalex.org/W3123554876","https://openalex.org/W3134169675","https://openalex.org/W3199041638"],"related_works":["https://openalex.org/W4381094582","https://openalex.org/W2369625323","https://openalex.org/W2364579609","https://openalex.org/W2353528968","https://openalex.org/W2201908702","https://openalex.org/W2045049461","https://openalex.org/W2032776242","https://openalex.org/W1978893398","https://openalex.org/W1977906818","https://openalex.org/W1522139108"],"abstract_inverted_index":{"Face":[0],"verification":[1,69],"aims":[2],"to":[3,58,72,86,137,142],"distinguish":[4],"between":[5],"genuine":[6],"and":[7,40,140,188,196,215,220,224],"imposter":[8,60],"pairs":[9,61,113],"of":[10,80,92,95,127,146,200,208],"faces,":[11],"which":[12,191,211],"include":[13,118],"the":[14,27,30,38,54,77,89,99,107,198,217],"same":[15],"or":[16],"different":[17],"identities,":[18],"respectively.":[19],"The":[20,131],"performance":[21,166,173],"reported":[22],"in":[23,67,193],"recent":[24,194],"years":[25,195],"gives":[26],"impression":[28],"that":[29,42,162],"task":[31],"is":[32,62,70,151,229],"practically":[33],"solved.":[34],"Here,":[35],"we":[36,105,185],"revisit":[37],"problem":[39],"argue":[41],"existing":[43,81,168],"evaluation":[44],"datasets":[45,82,169],"were":[46],"built":[47],"using":[48],"two":[49],"oversimplifying":[50],"design":[51,209],"choices.":[52],"First,":[53],"usual":[55],"identity":[56],"selection":[57],"form":[59],"not":[63],"challenging":[64,74,115],"enough":[65],"because,":[66],"practice,":[68],"needed":[71],"detect":[73],"imposters.":[75],"Second,":[76],"underlying":[78],"demographics":[79],"are":[83,114],"often":[84],"insufficient":[85],"account":[87],"for":[88,175],"wide":[90],"diversity":[91],"facial":[93],"characteristics":[94],"people":[96],"from":[97,123,153],"across":[98],"world.":[100],"To":[101],"mitigate":[102],"these":[103,213],"limitations,":[104],"introduce":[106,205],"F":[108,148,176,226],"aV":[109,149,177,227],"CI2D":[110,150,228],"dataset.":[111],"Imposter":[112],"because":[116],"they":[117],"visually":[119],"similar":[120],"faces":[121],"selected":[122],"a":[124,171,206],"large":[125],"pool":[126],"demographically":[128],"diversified":[129],"identities.":[130],"dataset":[132,218],"also":[133],"includes":[134],"metadata":[135],"related":[136],"gender,":[138],"country":[139],"age":[141],"facilitate":[143],"fine-grained":[144],"analysis":[145,202],"results.":[147],"generated":[152],"freely":[154],"distributable":[155],"resources.":[156],"Experiments":[157],"with":[158],"state-of-the-art":[159],"deep":[160],"models":[161],"provide":[163],"nearly":[164],"100%":[165],"on":[167],"show":[170],"significant":[172],"drop":[174],"CI2D,":[178],"confirming":[179],"our":[180],"starting":[181],"hypothesis.":[182],"Equally":[183],"important,":[184],"analyze":[186],"legal":[187],"ethical":[189],"challenges":[190,214],"appeared":[192],"hindered":[197],"development":[199],"face":[201],"research.":[203],"We":[204],"series":[207],"choices":[210],"address":[212],"make":[216],"constitution":[219],"usage":[221],"more":[222],"sustainable":[223],"fairer.":[225],"available":[230],"at":[231],"https://github.com/AIMultimediaLab/FaVCI2D-Face-Verification-with-Challenging-Imposters-and-Diversified-Demographics.":[232]},"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W3205269877","counts_by_year":[{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2024-12-14T09:58:53.294636","created_date":"2021-10-25"}