{"id":"https://openalex.org/W2980730551","doi":"https://doi.org/10.1145/3340555.3353753","title":"Facial Expression Recognition via Relation-based Conditional Generative Adversarial Network","display_name":"Facial Expression Recognition via Relation-based Conditional Generative Adversarial Network","publication_year":2019,"publication_date":"2019-10-14","ids":{"openalex":"https://openalex.org/W2980730551","doi":"https://doi.org/10.1145/3340555.3353753","mag":"2980730551"},"language":"en","primary_location":{"id":"doi:10.1145/3340555.3353753","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340555.3353753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Multimodal Interaction","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/A5065677543","display_name":"Byung Cheol Song","orcid":"https://orcid.org/0000-0001-8742-3433"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":true,"raw_author_name":"Byung Cheol Song","raw_affiliation_strings":["Inha University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inha University, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100398226","display_name":"Min Kyu Lee","orcid":"https://orcid.org/0000-0003-3447-4936"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Min Kyu Lee","raw_affiliation_strings":["Inha University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inha University, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5072074332","display_name":"Dong Yoon Choi","orcid":"https://orcid.org/0000-0003-2990-9691"},"institutions":[{"id":"https://openalex.org/I191879574","display_name":"Inha University","ror":"https://ror.org/01easw929","country_code":"KR","type":"education","lineage":["https://openalex.org/I191879574"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Dong Yoon Choi","raw_affiliation_strings":["Inha University, Republic of Korea"],"affiliations":[{"raw_affiliation_string":"Inha University, Republic of Korea","institution_ids":["https://openalex.org/I191879574"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5065677543"],"corresponding_institution_ids":["https://openalex.org/I191879574"],"apc_list":null,"apc_paid":null,"fwci":0.4049,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.65840841,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"35","last_page":"39"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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/T10057","display_name":"Face and Expression Recognition","score":0.9984999895095825,"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/T11448","display_name":"Face recognition and analysis","score":0.9980000257492065,"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":0.996999979019165,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.8054423332214355},{"id":"https://openalex.org/keywords/relation","display_name":"Relation (database)","score":0.7711358666419983},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7146074175834656},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.7011332511901855},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.6941376328468323},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.6749744415283203},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6502147912979126},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.6426151394844055},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6195095181465149},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.5948551297187805},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5129168033599854},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.45155370235443115},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4447352886199951},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3283792734146118},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.1846320927143097},{"id":"https://openalex.org/keywords/data-mining","display_name":"Data mining","score":0.15160611271858215},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07693752646446228}],"concepts":[{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.8054423332214355},{"id":"https://openalex.org/C25343380","wikidata":"https://www.wikidata.org/wiki/Q277521","display_name":"Relation (database)","level":2,"score":0.7711358666419983},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7146074175834656},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.7011332511901855},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.6941376328468323},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.6749744415283203},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6502147912979126},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6426151394844055},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6195095181465149},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.5948551297187805},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5129168033599854},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.45155370235443115},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4447352886199951},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3283792734146118},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.1846320927143097},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.15160611271858215},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07693752646446228},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","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/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3340555.3353753","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3340555.3353753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Multimodal Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5199999809265137}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":16,"referenced_works":["https://openalex.org/W1990207480","https://openalex.org/W2103943262","https://openalex.org/W2150283722","https://openalex.org/W2161634108","https://openalex.org/W2164575144","https://openalex.org/W2184218725","https://openalex.org/W2187089797","https://openalex.org/W2217426128","https://openalex.org/W2604209953","https://openalex.org/W2730601341","https://openalex.org/W2798583514","https://openalex.org/W2805080735","https://openalex.org/W2883861033","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963767194"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W2996316059","https://openalex.org/W3156763702","https://openalex.org/W4385421777","https://openalex.org/W4205986151","https://openalex.org/W4377980832","https://openalex.org/W2355913164","https://openalex.org/W2897769091","https://openalex.org/W2969215546","https://openalex.org/W1153638794"],"abstract_inverted_index":{"Recognizing":[0],"emotions":[1],"by":[2,31],"adapting":[3],"to":[4,13],"various":[5],"human":[6,54],"identities":[7],"is":[8],"very":[9],"difficult.":[10],"In":[11],"order":[12],"solve":[14],"this":[15,17],"problem,":[16],"paper":[18],"proposes":[19],"a":[20],"relation-based":[21],"conditional":[22],"generative":[23],"adversarial":[24],"network":[25],"(RcGAN),":[26],"which":[27],"recognizes":[28],"facial":[29,48],"expressions":[30],"using":[32],"the":[33,60],"difference":[34],"(or":[35],"relation)":[36],"between":[37],"neutral":[38],"face":[39],"and":[40,68,72],"expressive":[41],"face.":[42],"The":[43],"proposed":[44,61],"method":[45,62],"can":[46],"recognize":[47],"expression":[49],"or":[50],"emotion":[51],"independently":[52],"of":[53,66],"identity.":[55],"Experimental":[56],"results":[57],"show":[58],"that":[59],"provides":[63],"higher":[64],"accuracies":[65],"97.93%":[67],"82.86%":[69],"for":[70],"CK+":[71],"MMI":[73],"databases,":[74],"respectively":[75],"than":[76],"conventional":[77],"method.":[78]},"counts_by_year":[{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}