{"id":"https://openalex.org/W2948151571","doi":"https://doi.org/10.1109/icb45273.2019.8987388","title":"Does Generative Face Completion Help Face Recognition?","display_name":"Does Generative Face Completion Help Face Recognition?","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2948151571","doi":"https://doi.org/10.1109/icb45273.2019.8987388","mag":"2948151571"},"language":"en","primary_location":{"id":"doi:10.1109/icb45273.2019.8987388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"},"type":"preprint","indexed_in":["arxiv","crossref","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1906.02858","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5082003632","display_name":"Joe Mathai","orcid":"https://orcid.org/0000-0002-7649-7303"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Joe Mathai","raw_affiliation_strings":["USC Information Sciences Institute,Marina del Rey,CA,USA","Information Sciences Institute#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC Information Sciences Institute,Marina del Rey,CA,USA","institution_ids":[]},{"raw_affiliation_string":"Information Sciences Institute#TAB#","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5089059382","display_name":"Iacopo Masi","orcid":"https://orcid.org/0000-0003-0444-7646"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Iacopo Masi","raw_affiliation_strings":["USC Information Sciences Institute,Marina del Rey,CA,USA","Information Sciences Institute#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC Information Sciences Institute,Marina del Rey,CA,USA","institution_ids":[]},{"raw_affiliation_string":"Information Sciences Institute#TAB#","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5028776484","display_name":"Wael AbdAlmageed","orcid":"https://orcid.org/0000-0002-8320-8530"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Wael AbdAlmageed","raw_affiliation_strings":["USC Information Sciences Institute,Marina del Rey,CA,USA","Information Sciences Institute#TAB#"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"USC Information Sciences Institute,Marina del Rey,CA,USA","institution_ids":[]},{"raw_affiliation_string":"Information Sciences Institute#TAB#","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8061,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":{"value":0.76751194,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9970999956130981,"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/T10057","display_name":"Face and Expression Recognition","score":0.9955999851226807,"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":0.7528996467590332},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7314122915267944},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6621823310852051},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.6106954216957092},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.5951701998710632},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.5296440124511719},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.5279359221458435},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4900018274784088},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4403435289859772},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.43740034103393555},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42863813042640686},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.42370834946632385},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3601268231868744},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.2280728816986084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7528996467590332},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7314122915267944},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6621823310852051},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.6106954216957092},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.5951701998710632},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.5296440124511719},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.5279359221458435},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4900018274784088},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4403435289859772},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.43740034103393555},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42863813042640686},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.42370834946632385},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3601268231868744},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.2280728816986084},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0}],"mesh":[],"locations_count":4,"locations":[{"id":"doi:10.1109/icb45273.2019.8987388","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987388","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:1906.02858","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.02858","pdf_url":"https://arxiv.org/pdf/1906.02858","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":"","raw_type":"text"},{"id":"mag:2948151571","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/1906.02858","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.1906.02858","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.1906.02858","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1906.02858","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1906.02858","pdf_url":"https://arxiv.org/pdf/1906.02858","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":"","raw_type":"text"},"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":65,"referenced_works":["https://openalex.org/W184699070","https://openalex.org/W202494559","https://openalex.org/W1509966554","https://openalex.org/W1520795124","https://openalex.org/W1533861849","https://openalex.org/W1782590233","https://openalex.org/W1935978687","https://openalex.org/W1964414683","https://openalex.org/W1998808035","https://openalex.org/W2005264304","https://openalex.org/W2111372597","https://openalex.org/W2143642807","https://openalex.org/W2145287260","https://openalex.org/W2325939864","https://openalex.org/W2366739890","https://openalex.org/W2502312327","https://openalex.org/W2511437253","https://openalex.org/W2515770085","https://openalex.org/W2519806271","https://openalex.org/W2548780814","https://openalex.org/W2565575913","https://openalex.org/W2567070169","https://openalex.org/W2608058963","https://openalex.org/W2611104282","https://openalex.org/W2738588019","https://openalex.org/W2784163702","https://openalex.org/W2784649957","https://openalex.org/W2790299973","https://openalex.org/W2798365772","https://openalex.org/W2807603851","https://openalex.org/W2807633959","https://openalex.org/W2855409037","https://openalex.org/W2891524773","https://openalex.org/W2929478825","https://openalex.org/W2949696009","https://openalex.org/W2952761377","https://openalex.org/W2962879692","https://openalex.org/W2963073614","https://openalex.org/W2963201472","https://openalex.org/W2963273804","https://openalex.org/W2963285578","https://openalex.org/W2963321359","https://openalex.org/W2963656031","https://openalex.org/W2963839617","https://openalex.org/W2963917315","https://openalex.org/W2964023530","https://openalex.org/W2964054038","https://openalex.org/W2964171387","https://openalex.org/W3103152812","https://openalex.org/W3122534566","https://openalex.org/W6630649318","https://openalex.org/W6640289440","https://openalex.org/W6669067337","https://openalex.org/W6685562342","https://openalex.org/W6700903540","https://openalex.org/W6724804524","https://openalex.org/W6726453277","https://openalex.org/W6727423499","https://openalex.org/W6731370813","https://openalex.org/W6735913928","https://openalex.org/W6747352758","https://openalex.org/W6752670383","https://openalex.org/W6753629098","https://openalex.org/W6754206849","https://openalex.org/W6755188876"],"related_works":["https://openalex.org/W3006378612","https://openalex.org/W2739904941","https://openalex.org/W3162282087","https://openalex.org/W2940931619","https://openalex.org/W2308479513","https://openalex.org/W2799999388","https://openalex.org/W2975535607","https://openalex.org/W2185537520","https://openalex.org/W3193767934","https://openalex.org/W3182274190","https://openalex.org/W3035941258","https://openalex.org/W3193021132","https://openalex.org/W2118648156","https://openalex.org/W2156964215","https://openalex.org/W2958090827","https://openalex.org/W2774961187","https://openalex.org/W2079834907","https://openalex.org/W2998479322","https://openalex.org/W2802764412","https://openalex.org/W2972943142"],"abstract_inverted_index":{"Face":[0],"occlusions,":[1,58],"covering":[2,40],"either":[3],"the":[4,10,43,48,70,79,86,114,125,141,152,156],"majority":[5],"or":[6,37],"discriminative":[7],"parts":[8,41],"of":[9,21,42,47,81,108,116,139,144],"face,":[11],"can":[12],"break":[13],"facial":[14],"perception":[15,175],"and":[16,159],"produce":[17],"a":[18,62,90,96,100],"drastic":[19],"loss":[20],"information.":[22],"Biometric":[23],"systems":[24,179],"such":[25],"as":[26],"recent":[27],"deep":[28],"face":[29,50,83,91,109,134,167,174],"recognition":[30,51],"models":[31],"are":[32,53],"not":[33,54],"immune":[34],"to":[35,56,65,77,123,171],"obstructions":[36],"other":[38],"objects":[39,131],"face.":[44],"While":[45],"most":[46],"current":[49],"methods":[52],"optimized":[55],"handle":[57],"there":[59],"have":[60],"been":[61],"few":[63],"attempts":[64],"improve":[66],"robustness":[67],"directly":[68],"in":[69,155,176],"training":[71],"stage.":[72],"Unlike":[73],"those,":[74],"we":[75,121,128],"propose":[76,122],"study":[78],"effect":[80],"generative":[82],"completion":[84,92,168],"on":[85,95,119,151],"recognition.":[87,182],"We":[88],"offer":[89],"encoder-decoder,":[93],"based":[94],"convolutional":[97],"operator":[98],"with":[99,104],"gating":[101],"mechanism,":[102],"trained":[103],"an":[105],"ample":[106],"set":[107],"occlusions.":[110,148],"To":[111],"systematically":[112],"evaluate":[113],"impact":[115,142],"realistic":[117],"occlusions":[118],"recognition,":[120],"play":[124],"occlusion":[126],"game:":[127],"render":[129],"3D":[130],"onto":[132],"different":[133],"parts,":[135],"providing":[136],"precious":[137],"knowledge":[138],"what":[140],"is":[143,169],"effectively":[145],"removing":[146],"those":[147],"Extensive":[149],"experiments":[150],"Labeled":[153],"Faces":[154],"Wild":[157],"(LFW),":[158],"its":[160],"more":[161],"difficult":[162],"variant":[163],"LFW-BLUFR,":[164],"testify":[165],"that":[166],"able":[170],"partially":[172],"restore":[173],"machine":[177],"vision":[178],"for":[180],"improved":[181]},"counts_by_year":[{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-01T08:55:40.977307","created_date":"2025-10-10T00:00:00"}