{"id":"https://openalex.org/W3195126276","doi":"https://doi.org/10.1109/fg52635.2021.9666943","title":"A Synthesis-Based Approach for Thermal-to-Visible Face Verification","display_name":"A Synthesis-Based Approach for Thermal-to-Visible Face Verification","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W3195126276","doi":"https://doi.org/10.1109/fg52635.2021.9666943","mag":"3195126276"},"language":"en","primary_location":{"id":"doi:10.1109/fg52635.2021.9666943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg52635.2021.9666943","pdf_url":null,"source":{"id":"https://openalex.org/S4363608446","display_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5006107116","display_name":"Neehar Peri","orcid":"https://orcid.org/0000-0001-9329-3989"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Neehar Peri","raw_affiliation_strings":["MUKH Technologies","University of Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MUKH Technologies","institution_ids":[]},{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058194061","display_name":"Joshua Gleason","orcid":null},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Joshua Gleason","raw_affiliation_strings":["MUKH Technologies","University of Maryland"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"MUKH Technologies","institution_ids":[]},{"raw_affiliation_string":"University of Maryland","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101861410","display_name":"Carlos D. Castillo","orcid":"https://orcid.org/0000-0001-5308-4824"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Carlos D. Castillo","raw_affiliation_strings":["Johns Hopkins University","MUKH Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"MUKH Technologies","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5056462004","display_name":"Thirimachos Bourlai","orcid":"https://orcid.org/0000-0001-8751-0836"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Thirimachos Bourlai","raw_affiliation_strings":["University of Georgia"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Georgia","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5004716468","display_name":"Vishal M. Patel","orcid":"https://orcid.org/0000-0002-5239-692X"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Vishal M. Patel","raw_affiliation_strings":["Johns Hopkins University","MUKH Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"MUKH Technologies","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650"},"institutions":[{"id":"https://openalex.org/I145311948","display_name":"Johns Hopkins University","ror":"https://ror.org/00za53h95","country_code":"US","type":"education","lineage":["https://openalex.org/I145311948"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["Johns Hopkins University","MUKH Technologies"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Johns Hopkins University","institution_ids":["https://openalex.org/I145311948"]},{"raw_affiliation_string":"MUKH Technologies","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.6232,"has_fulltext":false,"cited_by_count":21,"citation_normalized_percentile":{"value":0.89948898,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"08"},"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":0.9950000047683716,"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/T10828","display_name":"Biometric Identification and Security","score":0.9879999756813049,"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/computer-science","display_name":"Computer science","score":0.8076515197753906},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7068310976028442},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6838288903236389},{"id":"https://openalex.org/keywords/smoothing","display_name":"Smoothing","score":0.6411781907081604},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.628413200378418},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.5890657305717468},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5265845656394958},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4262534976005554},{"id":"https://openalex.org/keywords/thermal-infrared","display_name":"Thermal infrared","score":0.4204508662223816},{"id":"https://openalex.org/keywords/infrared","display_name":"Infrared","score":0.1736864149570465},{"id":"https://openalex.org/keywords/optics","display_name":"Optics","score":0.0694025456905365}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8076515197753906},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7068310976028442},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6838288903236389},{"id":"https://openalex.org/C3770464","wikidata":"https://www.wikidata.org/wiki/Q775963","display_name":"Smoothing","level":2,"score":0.6411781907081604},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.628413200378418},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.5890657305717468},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5265845656394958},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4262534976005554},{"id":"https://openalex.org/C2984335091","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Thermal infrared","level":3,"score":0.4204508662223816},{"id":"https://openalex.org/C158355884","wikidata":"https://www.wikidata.org/wiki/Q11388","display_name":"Infrared","level":2,"score":0.1736864149570465},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0694025456905365},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/fg52635.2021.9666943","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg52635.2021.9666943","pdf_url":null,"source":{"id":"https://openalex.org/S4363608446","display_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.6700000166893005}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W639708223","https://openalex.org/W2039649878","https://openalex.org/W2106947945","https://openalex.org/W2128019145","https://openalex.org/W2194775991","https://openalex.org/W2325939864","https://openalex.org/W2341788950","https://openalex.org/W2421210708","https://openalex.org/W2485847574","https://openalex.org/W2548780814","https://openalex.org/W2613718673","https://openalex.org/W2743120891","https://openalex.org/W2768959015","https://openalex.org/W2798807671","https://openalex.org/W2805754451","https://openalex.org/W2854242199","https://openalex.org/W2883229900","https://openalex.org/W2902038035","https://openalex.org/W2904856314","https://openalex.org/W2931147622","https://openalex.org/W2940551087","https://openalex.org/W2962793481","https://openalex.org/W2962808524","https://openalex.org/W2962819150","https://openalex.org/W2963073614","https://openalex.org/W2963330667","https://openalex.org/W2963639219","https://openalex.org/W2964239703","https://openalex.org/W2964337551","https://openalex.org/W2967515867","https://openalex.org/W2969985801","https://openalex.org/W2983188006","https://openalex.org/W3004620852","https://openalex.org/W3006251944","https://openalex.org/W3006602891","https://openalex.org/W3018746726","https://openalex.org/W3045599073","https://openalex.org/W3057136416","https://openalex.org/W3102910076","https://openalex.org/W3108316907","https://openalex.org/W3109976024","https://openalex.org/W3118642508","https://openalex.org/W3119532581","https://openalex.org/W3127511859","https://openalex.org/W3132834324","https://openalex.org/W3141689296","https://openalex.org/W3184953896","https://openalex.org/W6745992979","https://openalex.org/W6746282794","https://openalex.org/W6753315462","https://openalex.org/W6798735131"],"related_works":["https://openalex.org/W2965546495","https://openalex.org/W4389116644","https://openalex.org/W2153315159","https://openalex.org/W3103844505","https://openalex.org/W259157601","https://openalex.org/W4205463238","https://openalex.org/W2761785940","https://openalex.org/W2110523656","https://openalex.org/W1482209366","https://openalex.org/W2384651879"],"abstract_inverted_index":{"In":[0,130],"recent":[1],"years,":[2],"visible-spectrum":[3],"face":[4,29,93,101,113,140,153,171,191,200],"verification":[5,201],"systems":[6,20],"have":[7],"been":[8],"shown":[9],"to":[10,51],"match":[11],"the":[12,38,52,88,98,135,165,179,207],"performance":[13,85,205],"of":[14,57,100,158,167,183],"experienced":[15],"forensic":[16],"examiners.":[17],"However,":[18],"such":[19],"are":[21,75],"ineffective":[22],"in":[23,45],"low-light":[24,73],"and":[25,55,62,69,90,105,115,127,161,187],"nighttime":[26],"conditions.":[27],"Thermal":[28],"imagery,":[30],"which":[31],"captures":[32],"body":[33],"heat":[34],"emissions,":[35],"effectively":[36],"augments":[37],"visible":[39,63,162],"spectrum,":[40],"capturing":[41],"discriminative":[42],"facial":[43],"features":[44],"scenes":[46],"with":[47,108,170],"limited":[48],"illumination.":[49],"Due":[50],"increased":[53],"cost":[54],"difficulty":[56],"obtaining":[58],"diverse,":[59],"paired":[60,159],"thermal":[61,160],"spectrum":[64],"datasets,":[65],"not":[66],"many":[67],"algorithms":[68],"large-scale":[70],"benchmarks":[71],"for":[72,111],"recognition":[74],"available.":[76],"This":[77],"paper":[78],"presents":[79],"an":[80],"algorithm":[81],"that":[82,119,134,155,196],"achieves":[83],"state-of-the-art":[84],"on":[86,143,206],"both":[87],"ARL-VTF":[89],"TUFTS":[91],"multi-spectral":[92,112,152],"datasets.":[94],"Importantly,":[95],"we":[96,132,147,194],"study":[97],"impact":[99],"alignment,":[102],"pixel-level":[103],"correspondence,":[104],"identity":[106],"classification":[107],"label":[109],"smoothing":[110],"synthesis":[114],"verification.":[116,145],"We":[117],"show":[118,133,195],"our":[120,168,197],"proposed":[121,136],"method":[122,137],"is":[123,156],"widely":[124],"applicable,":[125],"robust,":[126],"highly":[128],"effective.":[129],"addition,":[131],"significantly":[138],"outperforms":[139],"frontalization":[141],"methods":[142],"profile-to-frontal":[144],"Finally,":[146],"present":[148],"MILAB-VTF(B),":[149],"a":[150],"challenging":[151],"dataset":[154,177],"composed":[157],"videos.":[163],"To":[164],"best":[166],"knowledge,":[169],"data":[172],"from":[173],"400":[174],"subjects,":[175],"this":[176],"represents":[178],"most":[180],"extensive":[181],"collection":[182],"publicly":[184],"available":[185],"indoor":[186],"long-range":[188],"outdoor":[189],"thermal-visible":[190],"imagery.":[192],"Lastly,":[193],"end-to-end":[198],"thermal-to-visible":[199],"system":[202],"provides":[203],"strong":[204],"MILAB-VTF(B)":[208],"dataset.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}