{"id":"https://openalex.org/W4389777345","doi":"https://doi.org/10.1109/biosig58226.2023.10345992","title":"Face Verification Explainability Heatmap Generation","display_name":"Face Verification Explainability Heatmap Generation","publication_year":2023,"publication_date":"2023-09-20","ids":{"openalex":"https://openalex.org/W4389777345","doi":"https://doi.org/10.1109/biosig58226.2023.10345992"},"language":"en","primary_location":{"id":"doi:10.1109/biosig58226.2023.10345992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig58226.2023.10345992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"},"type":"article","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/A5036448295","display_name":"Ricardo Correia","orcid":"https://orcid.org/0000-0003-3767-4538"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":true,"raw_author_name":"Ricardo Correia","raw_affiliation_strings":["Instituto de Telecomunica&#x00E7;&#x00F5;cs, Instituto Superior T&#x00E9;cnico-Universidade de Lisboa,Lisbon,Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica&#x00E7;&#x00F5;cs, Instituto Superior T&#x00E9;cnico-Universidade de Lisboa,Lisbon,Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019322980","display_name":"Paulo Lobato Correia","orcid":"https://orcid.org/0000-0001-6525-9572"},"institutions":[{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]},{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Paulo Correia","raw_affiliation_strings":["Instituto de Telecomunica&#x00E7;&#x00F5;cs, Instituto Superior T&#x00E9;cnico-Universidade de Lisboa,Lisbon,Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica&#x00E7;&#x00F5;cs, Instituto Superior T&#x00E9;cnico-Universidade de Lisboa,Lisbon,Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5044708805","display_name":"Fernando Pereira","orcid":"https://orcid.org/0000-0001-6100-947X"},"institutions":[{"id":"https://openalex.org/I141596103","display_name":"University of Lisbon","ror":"https://ror.org/01c27hj86","country_code":"PT","type":"education","lineage":["https://openalex.org/I141596103"]},{"id":"https://openalex.org/I4210120471","display_name":"Instituto de Telecomunica\u00e7\u00f5es","ror":"https://ror.org/02ht4fk33","country_code":"PT","type":"nonprofit","lineage":["https://openalex.org/I4210120471"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Fernando Pereira","raw_affiliation_strings":["Instituto de Telecomunica&#x00E7;&#x00F5;cs, Instituto Superior T&#x00E9;cnico-Universidade de Lisboa,Lisbon,Portugal"],"affiliations":[{"raw_affiliation_string":"Instituto de Telecomunica&#x00E7;&#x00F5;cs, Instituto Superior T&#x00E9;cnico-Universidade de Lisboa,Lisbon,Portugal","institution_ids":["https://openalex.org/I4210120471","https://openalex.org/I141596103"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5036448295"],"corresponding_institution_ids":["https://openalex.org/I141596103","https://openalex.org/I4210120471"],"apc_list":null,"apc_paid":null,"fwci":0.4919,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.66781544,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9991999864578247,"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":0.9991999864578247,"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":0.9954000115394592,"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/T10862","display_name":"AI in cancer detection","score":0.9883000254631042,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.6062464714050293},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5410252213478088}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6062464714050293},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5410252213478088},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/biosig58226.2023.10345992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/biosig58226.2023.10345992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 International Conference of the Biometrics Special Interest Group (BIOSIG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/7","score":0.7900000214576721,"display_name":"Affordable and clean energy"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W2133059825","https://openalex.org/W2282821441","https://openalex.org/W2336525064","https://openalex.org/W2515770085","https://openalex.org/W2557864411","https://openalex.org/W2752828042","https://openalex.org/W2962898354","https://openalex.org/W2963733622","https://openalex.org/W3035422918","https://openalex.org/W3110144845","https://openalex.org/W3151034650","https://openalex.org/W3176196997","https://openalex.org/W3214999930","https://openalex.org/W4213257059","https://openalex.org/W4292794765","https://openalex.org/W4300235091","https://openalex.org/W4308069974","https://openalex.org/W4385245566","https://openalex.org/W6728458142","https://openalex.org/W6739901393","https://openalex.org/W6752170072","https://openalex.org/W6786507903","https://openalex.org/W6787329981","https://openalex.org/W6793716030"],"related_works":["https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W2382290278","https://openalex.org/W2478288626","https://openalex.org/W4391913857","https://openalex.org/W2350741829","https://openalex.org/W2530322880"],"abstract_inverted_index":{"Explainable":[0],"Face":[1],"Recognition":[2],"(XFR)":[3],"is":[4,100],"a":[5,39,63],"critical":[6],"technology":[7],"to":[8,23,69,85,102,105,172],"support":[9],"the":[10,24,58,74,78,86,91,98,109,120,127,133,144,156,163,169,182],"large":[11],"deployment":[12],"of":[13,28,88,112,139,158,168],"learning-based":[14],"face":[15,33,130],"recognition":[16],"solutions.":[17],"This":[18],"paper":[19,141],"aims":[20],"at":[21],"contributing":[22],"more":[25],"transparent":[26],"usage":[27],"Vision":[29],"Transformers":[30],"(ViTs)":[31],"for":[32,42,47,108,132,147,152,185],"verification":[34,134,153,183],"(FV)":[35],"tasks,":[36],"by":[37,62],"proposing":[38],"novel":[40],"approach":[41,146],"generating":[43,148],"FV":[44],"explainability":[45,149],"heatmaps,":[46],"both":[48,186],"positive":[49,187],"and":[50,65,90,188],"negative":[51,189],"decisions.":[52,190],"The":[53,136],"proposed":[54,145],"solution":[55],"leverages":[56],"on":[57,73,97,126,181],"attention":[59,79,165],"maps":[60,166],"generated":[61],"ViT":[64,159,164],"employs":[66],"masking":[67,92],"techniques":[68],"create":[70,173],"masks":[71,82,174],"based":[72],"highlighted":[75],"regions":[76,131,167],"in":[77,143,155],"maps.":[80],"These":[81,114],"are":[83],"applied":[84],"pair":[87,111,171],"faces,":[89],"technique":[93],"with":[94],"most":[95,128],"impact":[96,180],"decision":[99,184],"selected":[101],"be":[103],"used":[104],"generate":[106],"heatmaps":[107,115,150],"probe-gallery":[110,170],"faces.":[113],"offer":[116],"valuable":[117],"insights":[118],"into":[119],"decision-":[121],"making":[122],"process,":[123],"shedding":[124],"light":[125],"important":[129],"outcome.":[135],"key":[137],"novelty":[138],"this":[140],"lies":[142],"tailored":[151],"pairs":[154],"context":[157],"models,":[160],"which":[161],"combines":[162],"that":[175],"allow":[176],"evaluating":[177],"those":[178],"region's":[179]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
