{"id":"https://openalex.org/W2999258425","doi":"https://doi.org/10.1109/icmlc48188.2019.8949178","title":"Domain Adaption for Facial Expression Recognition","display_name":"Domain Adaption for Facial Expression Recognition","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2999258425","doi":"https://doi.org/10.1109/icmlc48188.2019.8949178","mag":"2999258425"},"language":"en","primary_location":{"id":"doi:10.1109/icmlc48188.2019.8949178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949178","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 Machine Learning and Cybernetics (ICMLC)","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/A5064933948","display_name":"Juntong Liu","orcid":"https://orcid.org/0009-0001-6748-2898"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun-Tong Liu","raw_affiliation_strings":["Xi’ an Jiaotong-Liverpool University,Department of Computer Science and Software Engineering,Suzhou,China,215123","Department of Computer Science and Software Engineering, Xi' an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’ an Jiaotong-Liverpool University,Department of Computer Science and Software Engineering,Suzhou,China,215123","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Xi' an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026986847","display_name":"Fangyu Wu","orcid":"https://orcid.org/0000-0001-9618-8965"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fang-Yu Wu","raw_affiliation_strings":["Xi’ an Jiaotong-Liverpool University,Department of Computer Science and Software Engineering,Suzhou,China,215123","Department of Computer Science and Software Engineering, Xi' an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’ an Jiaotong-Liverpool University,Department of Computer Science and Software Engineering,Suzhou,China,215123","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Xi' an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5110074987","display_name":"Wenjin Lu","orcid":"https://orcid.org/0000-0001-7038-3789"},"institutions":[{"id":"https://openalex.org/I69356397","display_name":"Xi\u2019an Jiaotong-Liverpool University","ror":"https://ror.org/03zmrmn05","country_code":"CN","type":"education","lineage":["https://openalex.org/I69356397"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wen-Jin Lu","raw_affiliation_strings":["Xi’ an Jiaotong-Liverpool University,Department of Computer Science and Software Engineering,Suzhou,China,215123","Department of Computer Science and Software Engineering, Xi' an Jiaotong-Liverpool University, Suzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Xi’ an Jiaotong-Liverpool University,Department of Computer Science and Software Engineering,Suzhou,China,215123","institution_ids":["https://openalex.org/I69356397"]},{"raw_affiliation_string":"Department of Computer Science and Software Engineering, Xi' an Jiaotong-Liverpool University, Suzhou, China","institution_ids":["https://openalex.org/I69356397"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101991543","display_name":"Bailing Zhang","orcid":"https://orcid.org/0000-0001-5762-5763"},"institutions":[{"id":"https://openalex.org/I159389169","display_name":"Ningbo University of Technology","ror":"https://ror.org/037dym702","country_code":"CN","type":"education","lineage":["https://openalex.org/I159389169"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bai-Ling Zhang","raw_affiliation_strings":["School of Computer and Data Engineering, Ningbo Institute of Technology, Zhejiang University,Ningbo,China,310300","School of Computer and Data Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer and Data Engineering, Ningbo Institute of Technology, Zhejiang University,Ningbo,China,310300","institution_ids":["https://openalex.org/I159389169"]},{"raw_affiliation_string":"School of Computer and Data Engineering, Ningbo Institute of Technology, Zhejiang University, Ningbo, China","institution_ids":["https://openalex.org/I159389169"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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/T10057","display_name":"Face and Expression Recognition","score":0.9987999796867371,"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":0.7889729738235474},{"id":"https://openalex.org/keywords/domain","display_name":"Domain (mathematical analysis)","score":0.6657105088233948},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6640617847442627},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.6622599959373474},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.6544603109359741},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6404435038566589},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.6233766078948975},{"id":"https://openalex.org/keywords/domain-adaptation","display_name":"Domain adaptation","score":0.6096800565719604},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5885598659515381},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5393187403678894},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.48015326261520386},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.47620925307273865},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.47593143582344055},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.46054595708847046},{"id":"https://openalex.org/keywords/adaptation","display_name":"Adaptation (eye)","score":0.4296647012233734},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.39009708166122437},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3495364487171173},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34282028675079346},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.2411639392375946},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.08179154992103577}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7889729738235474},{"id":"https://openalex.org/C36503486","wikidata":"https://www.wikidata.org/wiki/Q11235244","display_name":"Domain (mathematical analysis)","level":2,"score":0.6657105088233948},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6640617847442627},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.6622599959373474},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.6544603109359741},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6404435038566589},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.6233766078948975},{"id":"https://openalex.org/C2776434776","wikidata":"https://www.wikidata.org/wiki/Q19246213","display_name":"Domain adaptation","level":3,"score":0.6096800565719604},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5885598659515381},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5393187403678894},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.48015326261520386},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.47620925307273865},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.47593143582344055},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.46054595708847046},{"id":"https://openalex.org/C139807058","wikidata":"https://www.wikidata.org/wiki/Q352374","display_name":"Adaptation (eye)","level":2,"score":0.4296647012233734},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.39009708166122437},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3495364487171173},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34282028675079346},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.2411639392375946},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.08179154992103577},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmlc48188.2019.8949178","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmlc48188.2019.8949178","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 Machine Learning and Cybernetics (ICMLC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W1595126664","https://openalex.org/W2033702744","https://openalex.org/W2041616772","https://openalex.org/W2099471712","https://openalex.org/W2103943262","https://openalex.org/W2139916508","https://openalex.org/W2145310492","https://openalex.org/W2194775991","https://openalex.org/W2243226955","https://openalex.org/W2244142460","https://openalex.org/W2268421884","https://openalex.org/W2506506742","https://openalex.org/W2566938590","https://openalex.org/W2730601341","https://openalex.org/W2737398044","https://openalex.org/W2738672149","https://openalex.org/W2744909235","https://openalex.org/W2750692136","https://openalex.org/W2799041689","https://openalex.org/W2884048435","https://openalex.org/W2891628231","https://openalex.org/W2962793481","https://openalex.org/W2963000559","https://openalex.org/W2963112684","https://openalex.org/W2963275094","https://openalex.org/W2963500702","https://openalex.org/W3208669052","https://openalex.org/W4290610135","https://openalex.org/W4320013936","https://openalex.org/W6661087397","https://openalex.org/W6685415078","https://openalex.org/W6745799943","https://openalex.org/W6753257457","https://openalex.org/W6802388133"],"related_works":["https://openalex.org/W2888032422","https://openalex.org/W4205986151","https://openalex.org/W4377980832","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W2897769091","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2901126000"],"abstract_inverted_index":{"Facial":[0],"expression":[1],"recognition":[2],"(FER)":[3],"is":[4,25,78],"a":[5,22,39,72,82,87],"task":[6],"that":[7],"recognizes":[8],"human":[9],"emotions":[10],"from":[11,63],"their":[12],"facial":[13],"expressions.":[14],"Owing":[15],"to":[16,27,92,120,127],"the":[17,47,61,105,114,122,143],"lack":[18],"of":[19,142],"large":[20],"datasets,":[21],"FER":[23,45],"system":[24],"difficult":[26],"design,":[28],"especially":[29],"for":[30,44],"real":[31,88],"world":[32,89],"environment.":[33],"In":[34],"this":[35],"paper,":[36],"we":[37,67],"propose":[38],"new":[40],"dataset":[41,69,85,91],"augmentation":[42,70],"method":[43],"and":[46,86,97,116],"corresponding":[48],"training":[49],"strategy":[50],"by":[51],"using":[52],"similarity":[53],"preserving":[54],"generative":[55],"adversarial":[56],"network":[57],"(SPGAN).":[58],"By":[59],"borrowing":[60],"idea":[62],"person":[64],"re-ID":[65],"field,":[66],"consider":[68],"as":[71],"domain":[73,94,106],"adaptation":[74],"task.":[75],"The":[76],"SPGAN":[77],"first":[79],"trained":[80,103],"on":[81,104,113],"lab":[83],"condition":[84,90],"generate":[93],"adapted":[95,107],"images,":[96],"then":[98],"CNN":[99],"models":[100,112],"are":[101],"subsequently":[102],"images.":[108],"We":[109,130],"test":[110],"our":[111,128,133],"RAF-DB":[115],"SFEW":[117],"2.0":[118],"datasets":[119],"show":[121],"improvement":[123],"when":[124,136],"compared":[125,137],"it":[126,138],"baseline.":[129],"also":[131],"report":[132],"competitive":[134],"accuracy":[135],"with":[139],"other":[140],"state":[141],"art":[144],"works,":[145],"which":[146],"shows":[147],"promissing":[148],"results.":[149]},"counts_by_year":[{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}