{"id":"https://openalex.org/W4385484626","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191995","title":"Inclusive normalization of face images to passport format","display_name":"Inclusive normalization of face images to passport format","publication_year":2023,"publication_date":"2023-06-18","ids":{"openalex":"https://openalex.org/W4385484626","doi":"https://doi.org/10.1109/ijcnn54540.2023.10191995"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn54540.2023.10191995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2312.14544","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5064715467","display_name":"Hongliu Cao","orcid":"https://orcid.org/0000-0002-1326-8159"},"institutions":[{"id":"https://openalex.org/I4210152932","display_name":"Amadeus (Spain)","ror":"https://ror.org/04nxxn125","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210152932"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Hongliu Cao","raw_affiliation_strings":["Amadeus SAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amadeus SAS","institution_ids":["https://openalex.org/I4210152932"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5009981554","display_name":"Minh Pham Quang Nhat","orcid":"https://orcid.org/0000-0001-6607-4967"},"institutions":[{"id":"https://openalex.org/I4210152932","display_name":"Amadeus (Spain)","ror":"https://ror.org/04nxxn125","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210152932"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Minh Nhat Do","raw_affiliation_strings":["Amadeus SAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amadeus SAS","institution_ids":["https://openalex.org/I4210152932"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5092581629","display_name":"Alexis Ravanel","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152932","display_name":"Amadeus (Spain)","ror":"https://ror.org/04nxxn125","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210152932"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Alexis Ravanel","raw_affiliation_strings":["Amadeus SAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amadeus SAS","institution_ids":["https://openalex.org/I4210152932"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5001904005","display_name":"Eoin Thomas","orcid":null},"institutions":[{"id":"https://openalex.org/I4210152932","display_name":"Amadeus (Spain)","ror":"https://ror.org/04nxxn125","country_code":"ES","type":"company","lineage":["https://openalex.org/I4210152932"]}],"countries":["ES"],"is_corresponding":false,"raw_author_name":"Eoin Thomas","raw_affiliation_strings":["Amadeus SAS"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Amadeus SAS","institution_ids":["https://openalex.org/I4210152932"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2246,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.50351145,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T11448","display_name":"Face recognition and analysis","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9980999827384949,"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":0.9976000189781189,"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/normalization","display_name":"Normalization (sociology)","score":0.8915809988975525},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7868585586547852},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7817593216896057},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6463285684585571},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6221320629119873},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5692276954650879},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5013687610626221},{"id":"https://openalex.org/keywords/three-dimensional-face-recognition","display_name":"Three-dimensional face recognition","score":0.4627172350883484},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.433559387922287}],"concepts":[{"id":"https://openalex.org/C136886441","wikidata":"https://www.wikidata.org/wiki/Q926129","display_name":"Normalization (sociology)","level":2,"score":0.8915809988975525},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7868585586547852},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7817593216896057},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6463285684585571},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6221320629119873},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5692276954650879},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5013687610626221},{"id":"https://openalex.org/C88799230","wikidata":"https://www.wikidata.org/wiki/Q3398329","display_name":"Three-dimensional face recognition","level":5,"score":0.4627172350883484},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.433559387922287},{"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/C19165224","wikidata":"https://www.wikidata.org/wiki/Q23404","display_name":"Anthropology","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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/ijcnn54540.2023.10191995","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn54540.2023.10191995","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2312.14544","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.14544","pdf_url":"https://arxiv.org/pdf/2312.14544","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2312.14544","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2312.14544","pdf_url":"https://arxiv.org/pdf/2312.14544","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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/16","score":0.46000000834465027,"display_name":"Peace, Justice and strong institutions"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W1895390915","https://openalex.org/W1949778830","https://openalex.org/W2220707429","https://openalex.org/W2559289659","https://openalex.org/W2737047298","https://openalex.org/W2739748921","https://openalex.org/W2785678896","https://openalex.org/W2798575809","https://openalex.org/W2798807671","https://openalex.org/W2901306526","https://openalex.org/W2902967946","https://openalex.org/W2910603373","https://openalex.org/W2911422169","https://openalex.org/W2912990735","https://openalex.org/W2952716587","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2962827684","https://openalex.org/W2963100452","https://openalex.org/W2963460810","https://openalex.org/W2963460857","https://openalex.org/W2963767194","https://openalex.org/W2963839617","https://openalex.org/W2964337551","https://openalex.org/W2979836745","https://openalex.org/W2987413615","https://openalex.org/W2988112387","https://openalex.org/W3034600949","https://openalex.org/W3034720584","https://openalex.org/W3044815875","https://openalex.org/W3094954720","https://openalex.org/W3096831136","https://openalex.org/W3162426298","https://openalex.org/W4294643831","https://openalex.org/W6639538995","https://openalex.org/W6640919962","https://openalex.org/W6688854196","https://openalex.org/W6741832134","https://openalex.org/W6745560452","https://openalex.org/W6748582592","https://openalex.org/W6750027281","https://openalex.org/W6755312952","https://openalex.org/W6779093361","https://openalex.org/W6784825796"],"related_works":["https://openalex.org/W2166031825","https://openalex.org/W2918845005","https://openalex.org/W2040482211","https://openalex.org/W2185537520","https://openalex.org/W3108145925","https://openalex.org/W4387163326","https://openalex.org/W325114128","https://openalex.org/W2336272890","https://openalex.org/W4312238398","https://openalex.org/W4308999963"],"abstract_inverted_index":{"Face":[0,42],"recognition":[1,31,181],"has":[2],"been":[3],"used":[4],"more":[5,7,34,168],"and":[6,77,131,171,177],"in":[8,12,120,144],"real":[9],"world":[10],"applications":[11],"recent":[13],"years.":[14],"However,":[15,65],"when":[16],"the":[17,29,61,63,175],"skin":[18,83],"color":[19,84],"bias":[20,139],"is":[21,33,110,140],"coupled":[22],"with":[23,48,143],"intra-personal":[24,53,115],"variations":[25,54,76,116],"like":[26,133],"harsh":[27,124],"illumination,":[28,125],"face":[30,67,90,106,180],"task":[32],"likely":[35],"to":[36,46,97,112,152],"fail,":[37],"even":[38],"during":[39],"human":[40,98],"inspection.":[41],"normalization":[43,68,91,107],"methods":[44,69,92],"try":[45],"deal":[47],"such":[49,81],"challenges":[50],"by":[51,147],"removing":[52],"from":[55],"an":[56],"input":[57],"image":[58],"while":[59],"keeping":[60],"identity":[62],"same.":[64],"most":[66,114],"can":[70,166,172],"only":[71],"remove":[72,113],"one":[73],"or":[74,123],"two":[75],"ignore":[78],"dataset":[79,138,156],"biases":[80],"as":[82],"bias.":[85],"The":[86,137,160],"outputs":[87,170],"of":[88,157,179],"many":[89],"are":[93],"also":[94,141],"not":[95],"realistic":[96,169],"observers.":[99],"In":[100],"this":[101,145],"work,":[102],"a":[103,149,154],"style":[104],"based":[105],"model":[108],"(StyleFNM)":[109],"proposed":[111],"including":[117],"large":[118],"changes":[119],"pose,":[121],"bad":[122],"low":[126],"resolution,":[127],"blur,":[128],"facial":[129],"expressions,":[130],"accessories":[132],"sunglasses":[134],"among":[135],"others.":[136],"dealt":[142],"paper":[146],"controlling":[148],"pretrained":[150],"GAN":[151],"generate":[153,167],"balanced":[155],"passport-like":[158],"images.":[159],"experimental":[161],"results":[162],"show":[163],"that":[164],"StyleFNM":[165],"improve":[173],"significantly":[174],"accuracy":[176],"fairness":[178],"systems.":[182]},"counts_by_year":[{"year":2025,"cited_by_count":2}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
