{"id":"https://openalex.org/W4316096924","doi":"https://doi.org/10.1109/ijcb54206.2022.10007992","title":"TFLD: Thermal Face and Landmark Detection for Unconstrained Cross-spectral Face Recognition","display_name":"TFLD: Thermal Face and Landmark Detection for Unconstrained Cross-spectral Face Recognition","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4316096924","doi":"https://doi.org/10.1109/ijcb54206.2022.10007992"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb54206.2022.10007992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb54206.2022.10007992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Joint Conference on Biometrics (IJCB)","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/A5091582405","display_name":"David Anghelone","orcid":null},"institutions":[{"id":"https://openalex.org/I1283236314","display_name":"Thales (Portugal)","ror":"https://ror.org/051w1mx35","country_code":"PT","type":"company","lineage":["https://openalex.org/I1283236314","https://openalex.org/I4210140930"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR","PT"],"is_corresponding":false,"raw_author_name":"David Anghelone","raw_affiliation_strings":["Inria","Thales"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]},{"raw_affiliation_string":"Thales","institution_ids":["https://openalex.org/I1283236314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5114077295","display_name":"Sarah Lannes","orcid":null},"institutions":[{"id":"https://openalex.org/I1283236314","display_name":"Thales (Portugal)","ror":"https://ror.org/051w1mx35","country_code":"PT","type":"company","lineage":["https://openalex.org/I1283236314","https://openalex.org/I4210140930"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Sarah Lannes","raw_affiliation_strings":["Thales"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales","institution_ids":["https://openalex.org/I1283236314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5020785622","display_name":"Valeriya Strizhkova","orcid":null},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Valeriya Strizhkova","raw_affiliation_strings":["Inria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5083411884","display_name":"Philippe Faur\u00e9","orcid":"https://orcid.org/0000-0003-3573-4971"},"institutions":[{"id":"https://openalex.org/I1283236314","display_name":"Thales (Portugal)","ror":"https://ror.org/051w1mx35","country_code":"PT","type":"company","lineage":["https://openalex.org/I1283236314","https://openalex.org/I4210140930"]}],"countries":["PT"],"is_corresponding":false,"raw_author_name":"Philippe Faure","raw_affiliation_strings":["Thales"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Thales","institution_ids":["https://openalex.org/I1283236314"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072508861","display_name":"Cunjian Chen","orcid":"https://orcid.org/0000-0002-2926-9762"},"institutions":[{"id":"https://openalex.org/I2801239119","display_name":"Australian Regenerative Medicine Institute","ror":"https://ror.org/02qa5kg76","country_code":"AU","type":"facility","lineage":["https://openalex.org/I2801037857","https://openalex.org/I2801239119","https://openalex.org/I56590836"]},{"id":"https://openalex.org/I4210125878","display_name":"Suzhou Research Institute","ror":"https://ror.org/03ebk0c60","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210125878"]},{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU","CN"],"is_corresponding":false,"raw_author_name":"Cunjian Chen","raw_affiliation_strings":["Monash University","Monash Suzhou Research Institute"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Monash University","institution_ids":["https://openalex.org/I2801239119","https://openalex.org/I56590836"]},{"raw_affiliation_string":"Monash Suzhou Research Institute","institution_ids":["https://openalex.org/I4210125878"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084047603","display_name":"Antitza Dantcheva","orcid":"https://orcid.org/0000-0003-0107-7029"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Antitza Dantcheva","raw_affiliation_strings":["Inria"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Inria","institution_ids":["https://openalex.org/I1326498283"]}]}],"institutions":[],"countries_distinct_count":4,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"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":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/T10828","display_name":"Biometric Identification and Security","score":0.9954000115394592,"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"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9919000267982483,"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/landmark","display_name":"Landmark","score":0.8969781398773193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7668591737747192},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7664101123809814},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6902231574058533},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6679383516311646},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6649600267410278},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.5834534764289856},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5699155330657959},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.540404736995697},{"id":"https://openalex.org/keywords/matching","display_name":"Matching (statistics)","score":0.47114530205726624},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4389488995075226},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.10369732975959778},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.0618937611579895}],"concepts":[{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.8969781398773193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7668591737747192},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664101123809814},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6902231574058533},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6679383516311646},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6649600267410278},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.5834534764289856},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5699155330657959},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.540404736995697},{"id":"https://openalex.org/C165064840","wikidata":"https://www.wikidata.org/wiki/Q1321061","display_name":"Matching (statistics)","level":2,"score":0.47114530205726624},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4389488995075226},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.10369732975959778},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0618937611579895},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"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/ijcb54206.2022.10007992","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb54206.2022.10007992","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2022 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/11","display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W2076371402","https://openalex.org/W2797558164","https://openalex.org/W2906004658","https://openalex.org/W2963361510","https://openalex.org/W2969985801","https://openalex.org/W2984609752","https://openalex.org/W3101076264","https://openalex.org/W3118334057","https://openalex.org/W3119532581","https://openalex.org/W3131797398","https://openalex.org/W3134273007","https://openalex.org/W3141689296","https://openalex.org/W3195126276","https://openalex.org/W3207211939","https://openalex.org/W4210652741","https://openalex.org/W4220852784","https://openalex.org/W4221142279","https://openalex.org/W4285294981","https://openalex.org/W6809547036"],"related_works":["https://openalex.org/W2056853153","https://openalex.org/W2057559274","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W4285815683","https://openalex.org/W325114128"],"abstract_inverted_index":{"Automated":[0],"thermal-to-visible":[1],"face":[2,28,50,58,116,132,137],"recognition":[3,133],"has":[4],"received":[5],"increased":[6],"attention":[7],"due":[8],"to":[9,12,63],"benefits":[10],"related":[11,18],"low-light":[13],"applications.":[14],"Towards":[15],"improvement":[16],"of":[17,27,44,104],"matching":[19,128],"accuracy,":[20],"we":[21],"hereby":[22],"present":[23],"TFLD,":[24],"a":[25,56,101],"detector":[26,92],"and":[29,51,68,82,117,123],"landmarks":[30,78,99],"operating":[31],"in":[32,61,79,100,130],"the":[33,42,127],"thermal":[34,57,65,83],"spectrum.":[35],"Our":[36,85],"proposed":[37,91],"TFLD":[38,108],"is":[39],"based":[40,139],"on":[41,112,140],"architecture":[43],"YOLOv5,":[45],"integrating":[46],"sequential":[47],"modules":[48],"for":[49],"landmark":[52,118],"detection.":[53],"We":[54,72],"introduce":[55],"restoration":[59],"scheme,":[60],"order":[62],"enhance":[64],"image":[66],"quality":[67],"hence":[69],"detection":[70],"accuracy.":[71],"address":[73],"data":[74],"scarcity":[75],"by":[76,134],"transferring":[77],"paired":[80],"visible":[81],"images.":[84],"experimental":[86],"results":[87,111],"showcase":[88],"that":[89],"our":[90],"accurately":[93],"detects":[94],"faces,":[95],"as":[96,98],"well":[97],"wide":[102],"range":[103],"adversarial":[105],"conditions.":[106],"Further,":[107],"achieves":[109],"promising":[110],"three":[113],"benchmark":[114],"multi-spectral":[115],"datasets,":[119],"namely":[120],"ARL-VTF,":[121],"SF-TL54":[122],"RWTH-Aachen;":[124],"thereby":[125],"improving":[126],"accuracy":[129],"cross-spectral":[131],"providing":[135],"robust":[136],"alignment":[138],"estimated":[141],"facial":[142],"landmarks.":[143]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}