{"id":"https://openalex.org/W3113033622","doi":"https://doi.org/10.1145/3395035.3425258","title":"ET-CycleGAN: Generating Thermal Images from Images in the Visible Spectrum for Facial Emotion Recognition","display_name":"ET-CycleGAN: Generating Thermal Images from Images in the Visible Spectrum for Facial Emotion Recognition","publication_year":2020,"publication_date":"2020-10-25","ids":{"openalex":"https://openalex.org/W3113033622","doi":"https://doi.org/10.1145/3395035.3425258","mag":"3113033622"},"language":"en","primary_location":{"id":"doi:10.1145/3395035.3425258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3395035.3425258","pdf_url":null,"source":{"id":"https://openalex.org/S4306506653","display_name":"Companion Publication of the 2020 International Conference on Multimodal Interaction","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":"Companion Publication of the 2020 International Conference on Multimodal Interaction","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://ir.cwi.nl/pub/30356/30356.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5045654612","display_name":"G\u00e9rard Pons","orcid":"https://orcid.org/0000-0001-7671-2547"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":true,"raw_author_name":"Gerard Pons","raw_affiliation_strings":["Centrum Wiskunde &amp; Informatica, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Centrum Wiskunde &amp; Informatica, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030623043","display_name":"Abdallah El Ali","orcid":"https://orcid.org/0000-0002-9954-4088"},"institutions":[{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Abdallah El Ali","raw_affiliation_strings":["Centrum Wiskunde &amp; Informatica, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Centrum Wiskunde &amp; Informatica, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1341640284"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5024676475","display_name":"Pablo C\u00e9sar","orcid":"https://orcid.org/0000-0003-1752-6837"},"institutions":[{"id":"https://openalex.org/I98358874","display_name":"Delft University of Technology","ror":"https://ror.org/02e2c7k09","country_code":"NL","type":"education","lineage":["https://openalex.org/I98358874"]},{"id":"https://openalex.org/I1341640284","display_name":"Centrum Wiskunde & Informatica","ror":"https://ror.org/00x7ekv49","country_code":"NL","type":"facility","lineage":["https://openalex.org/I1341640284","https://openalex.org/I2800991832"]}],"countries":["NL"],"is_corresponding":false,"raw_author_name":"Pablo Cesar","raw_affiliation_strings":["Centrum Wiskunde &amp; Informatica and Delft University of Technology, Amsterdam, Netherlands"],"affiliations":[{"raw_affiliation_string":"Centrum Wiskunde &amp; Informatica and Delft University of Technology, Amsterdam, Netherlands","institution_ids":["https://openalex.org/I1341640284","https://openalex.org/I98358874"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5045654612"],"corresponding_institution_ids":["https://openalex.org/I1341640284"],"apc_list":null,"apc_paid":null,"fwci":0.246,"has_fulltext":true,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58980263,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":null,"issue":null,"first_page":"87","last_page":"91"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997000098228455,"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":0.9997000098228455,"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/T10667","display_name":"Emotion and Mood Recognition","score":0.9994000196456909,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9959999918937683,"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":0.7854818105697632},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7565204501152039},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7350354790687561},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.627718985080719},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5988850593566895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5650045871734619},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5580489635467529},{"id":"https://openalex.org/keywords/data-set","display_name":"Data set","score":0.5008842945098877},{"id":"https://openalex.org/keywords/prior-probability","display_name":"Prior probability","score":0.4940486252307892},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.48230409622192383},{"id":"https://openalex.org/keywords/emotion-recognition","display_name":"Emotion recognition","score":0.477383553981781},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.46574461460113525},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.463666707277298},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.4430423974990845},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.40762054920196533},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.3975493609905243},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.09371545910835266}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7854818105697632},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7565204501152039},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7350354790687561},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.627718985080719},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5988850593566895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5650045871734619},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5580489635467529},{"id":"https://openalex.org/C58489278","wikidata":"https://www.wikidata.org/wiki/Q1172284","display_name":"Data set","level":2,"score":0.5008842945098877},{"id":"https://openalex.org/C177769412","wikidata":"https://www.wikidata.org/wiki/Q278090","display_name":"Prior probability","level":3,"score":0.4940486252307892},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.48230409622192383},{"id":"https://openalex.org/C2777438025","wikidata":"https://www.wikidata.org/wiki/Q1339090","display_name":"Emotion recognition","level":2,"score":0.477383553981781},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.46574461460113525},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.463666707277298},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.4430423974990845},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.40762054920196533},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.3975493609905243},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.09371545910835266},{"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/C107673813","wikidata":"https://www.wikidata.org/wiki/Q812534","display_name":"Bayesian probability","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},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1145/3395035.3425258","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3395035.3425258","pdf_url":null,"source":{"id":"https://openalex.org/S4306506653","display_name":"Companion Publication of the 2020 International Conference on Multimodal Interaction","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":"Companion Publication of the 2020 International Conference on Multimodal Interaction","raw_type":"proceedings-article"},{"id":"pmh:oai:cwi.nl:30356","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/30356","pdf_url":"https://ir.cwi.nl/pub/30356/30356.pdf","source":{"id":"https://openalex.org/S7407055335","display_name":"Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},{"id":"pmh:oai:tudelft.nl:uuid:01f6c59b-fba7-4e9a-acf0-ba6980423dfe","is_oa":false,"landing_page_url":"http://resolver.tudelft.nl/uuid:01f6c59b-fba7-4e9a-acf0-ba6980423dfe","pdf_url":null,"source":{"id":"https://openalex.org/S4306400906","display_name":"Research Repository (Delft University of Technology)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I98358874","host_organization_name":"Delft University of Technology","host_organization_lineage":["https://openalex.org/I98358874"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"conference paper"}],"best_oa_location":{"id":"pmh:oai:cwi.nl:30356","is_oa":true,"landing_page_url":"https://ir.cwi.nl/pub/30356","pdf_url":"https://ir.cwi.nl/pub/30356/30356.pdf","source":{"id":"https://openalex.org/S7407055335","display_name":"Centrum Wiskunde & Informatica (CWI), the national research institute for mathematics and computer science in the Netherlands","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":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"info:eu-repo/semantics/conferenceObject"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3113033622.pdf","grobid_xml":"https://content.openalex.org/works/W3113033622.grobid-xml"},"referenced_works_count":29,"referenced_works":["https://openalex.org/W60434936","https://openalex.org/W146504263","https://openalex.org/W1488728061","https://openalex.org/W2058996406","https://openalex.org/W2073859568","https://openalex.org/W2081112272","https://openalex.org/W2106947945","https://openalex.org/W2115941714","https://openalex.org/W2182577255","https://openalex.org/W2296223520","https://openalex.org/W2325939864","https://openalex.org/W2470957930","https://openalex.org/W2558790182","https://openalex.org/W2572324811","https://openalex.org/W2775795276","https://openalex.org/W2792968364","https://openalex.org/W2799041689","https://openalex.org/W2804173281","https://openalex.org/W2852792619","https://openalex.org/W2888683367","https://openalex.org/W2905495854","https://openalex.org/W2920735519","https://openalex.org/W2945731770","https://openalex.org/W2950893734","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963839617","https://openalex.org/W3020634498","https://openalex.org/W4403242122"],"related_works":["https://openalex.org/W2580650124","https://openalex.org/W4386190339","https://openalex.org/W2968424575","https://openalex.org/W3142333283","https://openalex.org/W3122088529","https://openalex.org/W3041320102","https://openalex.org/W2111669074","https://openalex.org/W2584926856","https://openalex.org/W2075935902","https://openalex.org/W2014713986"],"abstract_inverted_index":{"Facial":[0],"thermal":[1,57,65,83],"imaging":[2],"has":[3],"in":[4,23,56,69,189],"recent":[5],"years":[6],"shown":[7],"to":[8,47,137,171,183],"be":[9],"an":[10,81],"efficient":[11],"modality":[12],"for":[13,108,155],"facial":[14,58,95,112],"emotion":[15,59,97,113,156,181],"recognition.":[16],"However,":[17],"the":[18,32,38,49,52,70,92,125,129,134,138,151,153,165,190],"use":[19],"of":[20,37,43,51,128,167],"deep":[21,54],"learning":[22],"this":[24,44,76,118],"field":[25],"is":[26,46],"still":[27],"not":[28],"fully":[29],"exploited":[30],"given":[31],"small":[33],"number":[34],"and":[35,96,111,132,180],"size":[36],"current":[39],"datasets.":[40],"The":[41],"goal":[42],"work":[45],"improve":[48],"performance":[50],"existing":[53],"networks":[55],"recognition":[60,110,157],"by":[61,99,159],"generating":[62],"new":[63,135],"synthesized":[64,122],"images":[66,68,123,148],"from":[67,102,124],"visual":[71],"spectrum":[72],"(RGB).":[73],"To":[74,116],"address":[75],"challenging":[77],"problem,":[78],"we":[79,120],"propose":[80],"emotion-guided":[82],"CycleGAN":[84],"(ET-CycleGAN).":[85],"This":[86],"Generative":[87],"Adversarial":[88],"Network":[89],"(GAN)":[90],"regularizes":[91],"training":[93,126,139,172],"with":[94],"priors":[98,169],"extracting":[100],"features":[101],"Convolutional":[103],"Neural":[104],"Networks":[105],"(CNNs)":[106],"trained":[107],"face":[109,179],"recognition,":[114],"respectively.":[115],"assess":[117],"approach,":[119],"generated":[121,149,191],"set":[127,140,173],"USTC-NVIE":[130],"dataset,":[131],"included":[133],"data":[136,143],"as":[141],"a":[142],"augmentation":[144],"strategy.":[145],"By":[146],"including":[147],"using":[150],"ET-CycleGAN,":[152],"accuracy":[154],"increased":[158],"10.9%.":[160],"Our":[161],"initial":[162],"findings":[163],"highlight":[164],"importance":[166],"adding":[168],"related":[170],"image":[174],"attributes":[175,186],"(in":[176],"our":[177],"case":[178],"priors),":[182],"ensure":[184],"such":[185],"are":[187],"maintained":[188],"images.":[192]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":1}],"updated_date":"2026-03-08T08:50:53.379069","created_date":"2025-10-10T00:00:00"}
