{"id":"https://openalex.org/W4413018418","doi":"https://doi.org/10.1109/fg61629.2025.11099202","title":"Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data","display_name":"Disentangled Source-Free Personalization for Facial Expression Recognition with Neutral Target Data","publication_year":2025,"publication_date":"2025-05-26","ids":{"openalex":"https://openalex.org/W4413018418","doi":"https://doi.org/10.1109/fg61629.2025.11099202"},"language":"en","primary_location":{"id":"doi:10.1109/fg61629.2025.11099202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg61629.2025.11099202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","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/A5056943097","display_name":"Masoumeh Sharafi","orcid":"https://orcid.org/0009-0000-2783-7968"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Masoumeh Sharafi","raw_affiliation_strings":["ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Emma Ollivier","orcid":null},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Emma Ollivier","raw_affiliation_strings":["ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064131959","display_name":"Muhammad Zeeshan","orcid":"https://orcid.org/0000-0003-0326-7862"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Muhammad Osama Zeeshan","raw_affiliation_strings":["ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017562387","display_name":"Soufiane Belharbi","orcid":"https://orcid.org/0000-0001-6326-380X"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Soufiane Belharbi","raw_affiliation_strings":["ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5074262951","display_name":"Alessandro L. Koerich","orcid":"https://orcid.org/0000-0001-5879-7014"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Alessandro Lameiras Koerich","raw_affiliation_strings":["ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5039660800","display_name":"Marco Pedersoli","orcid":"https://orcid.org/0000-0002-7601-8640"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Marco Pedersoli","raw_affiliation_strings":["ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046872842","display_name":"Simon Bacon","orcid":"https://orcid.org/0000-0001-7075-0358"},"institutions":[{"id":"https://openalex.org/I60158472","display_name":"Concordia University","ror":"https://ror.org/0420zvk78","country_code":"CA","type":"education","lineage":["https://openalex.org/I60158472"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Simon Bacon","raw_affiliation_strings":["Concordia University,Dept. of Health, Kinesiology &#x0026; Applied Physiology,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"Concordia University,Dept. of Health, Kinesiology &#x0026; Applied Physiology,Montreal,Canada","institution_ids":["https://openalex.org/I60158472"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5006937759","display_name":"\u00c9ric Granger","orcid":"https://orcid.org/0000-0001-6116-7945"},"institutions":[{"id":"https://openalex.org/I9736820","display_name":"\u00c9cole de Technologie Sup\u00e9rieure","ror":"https://ror.org/0020snb74","country_code":"CA","type":"education","lineage":["https://openalex.org/I49663120","https://openalex.org/I9736820"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Eric Granger","raw_affiliation_strings":["ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada"],"affiliations":[{"raw_affiliation_string":"ETS,LIVIA,Dept. of Systems Engineering,Montreal,Canada","institution_ids":["https://openalex.org/I9736820"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":8,"corresponding_author_ids":["https://openalex.org/A5056943097"],"corresponding_institution_ids":["https://openalex.org/I9736820"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.17297439,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9628000259399414,"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":0.9628000259399414,"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":0.9369999766349792,"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/personalization","display_name":"Personalization","score":0.7692078948020935},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7192848324775696},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.5359894037246704},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5088434219360352},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.46595650911331177},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.4353381097316742},{"id":"https://openalex.org/keywords/human\u2013computer-interaction","display_name":"Human\u2013computer interaction","score":0.33176955580711365},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3240242004394531},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.31287682056427},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3046700656414032},{"id":"https://openalex.org/keywords/world-wide-web","display_name":"World Wide Web","score":0.214595764875412}],"concepts":[{"id":"https://openalex.org/C183003079","wikidata":"https://www.wikidata.org/wiki/Q1000371","display_name":"Personalization","level":2,"score":0.7692078948020935},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7192848324775696},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5359894037246704},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5088434219360352},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.46595650911331177},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4353381097316742},{"id":"https://openalex.org/C107457646","wikidata":"https://www.wikidata.org/wiki/Q207434","display_name":"Human\u2013computer interaction","level":1,"score":0.33176955580711365},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3240242004394531},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.31287682056427},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3046700656414032},{"id":"https://openalex.org/C136764020","wikidata":"https://www.wikidata.org/wiki/Q466","display_name":"World Wide Web","level":1,"score":0.214595764875412},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fg61629.2025.11099202","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg61629.2025.11099202","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE 19th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},{"id":"pmh:oai:espace2.etsmtl.ca:31940","is_oa":false,"landing_page_url":null,"pdf_url":null,"source":{"id":"https://openalex.org/S4306402392","display_name":"Espace \u00c9TS (ETS)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1341030882","host_organization_name":"Educational Testing Service","host_organization_lineage":["https://openalex.org/I1341030882"],"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":"Non \u00e9valu\u00e9 par les pairs"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.75,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":62,"referenced_works":["https://openalex.org/W1985941926","https://openalex.org/W2101545465","https://openalex.org/W2516416963","https://openalex.org/W2592232824","https://openalex.org/W2787491722","https://openalex.org/W2902346685","https://openalex.org/W2908186737","https://openalex.org/W2940983946","https://openalex.org/W2962587900","https://openalex.org/W2990375436","https://openalex.org/W3034600949","https://openalex.org/W3091476632","https://openalex.org/W3112497262","https://openalex.org/W3118290699","https://openalex.org/W3120575095","https://openalex.org/W3135690218","https://openalex.org/W3135693821","https://openalex.org/W3155418628","https://openalex.org/W3157360070","https://openalex.org/W3157999215","https://openalex.org/W3162312466","https://openalex.org/W3167060095","https://openalex.org/W3173787706","https://openalex.org/W3184571633","https://openalex.org/W3209798173","https://openalex.org/W3211816430","https://openalex.org/W3215006196","https://openalex.org/W3216466215","https://openalex.org/W4206637691","https://openalex.org/W4223465214","https://openalex.org/W4224936696","https://openalex.org/W4283575658","https://openalex.org/W4292198371","https://openalex.org/W4298348845","https://openalex.org/W4311415873","https://openalex.org/W4312399508","https://openalex.org/W4312933868","https://openalex.org/W4378808461","https://openalex.org/W4386083096","https://openalex.org/W4387492383","https://openalex.org/W4392251648","https://openalex.org/W4394597809","https://openalex.org/W4400188660","https://openalex.org/W4400527786","https://openalex.org/W4402916765","https://openalex.org/W6687400500","https://openalex.org/W6718140377","https://openalex.org/W6741832134","https://openalex.org/W6755312952","https://openalex.org/W6756824971","https://openalex.org/W6762931180","https://openalex.org/W6780593937","https://openalex.org/W6781503079","https://openalex.org/W6781981248","https://openalex.org/W6788990321","https://openalex.org/W6795288823","https://openalex.org/W6796604954","https://openalex.org/W6802028791","https://openalex.org/W6808892329","https://openalex.org/W6845953478","https://openalex.org/W6848221496","https://openalex.org/W6871579160"],"related_works":["https://openalex.org/W2642127892","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2116055069","https://openalex.org/W2356663679"],"abstract_inverted_index":{"Facial":[0],"Expression":[1],"Recognition":[2],"(FER)":[3],"from":[4,102,143,190],"videos":[5,149],"is":[6,44],"a":[7,65,88,133,155,191],"crucial":[8],"task":[9],"in":[10,52,120],"various":[11],"application":[12],"areas,":[13],"such":[14,108],"as":[15],"human-computer":[16],"interaction":[17],"and":[18,21,26,80,97,199,217,250,262],"health":[19,36],"diagnosis":[20],"monitoring":[22],"(e.g.,":[23],"assessing":[24],"pain":[25],"depression).":[27],"Beyond":[28],"the":[29,38,48,160,169,176,221,227,247,258],"challenges":[30],"of":[31,40,162,201],"recognizing":[32],"subtle":[33],"emotional":[34],"or":[35,115],"states,":[37],"effectiveness":[39],"deep":[41],"FER":[42,119],"models":[43,181],"often":[45],"hindered":[46],"by":[47,179,241],"considerable":[49],"inter-subject":[50],"variability":[51,161],"expressions.":[53],"Source-free":[54],"(unsupervised)":[55],"domain":[56,73,90],"adaptation":[57,200,240,273],"(SFDA)":[58],"methods":[59,85],"may":[60,128],"be":[61,113,129,151],"employed":[62],"to":[63,87,93,131,153,157,174,211,215],"adapt":[64,86,154],"pre-trained":[66],"source":[67,251],"model":[68,156,232,239],"using":[69],"only":[70,140],"unlabeled":[71],"target":[72,89,110,144,184,193,202,228,243],"data,":[74],"thereby":[75,230],"avoiding":[76],"data":[77,101,111,189,203,225],"privacy,":[78],"storage,":[79],"transmission":[81],"issues.":[82],"Typically,":[83],"SFDA":[84,171],"dataset":[91],"corresponding":[92],"an":[94],"entire":[95],"population":[96],"assume":[98],"it":[99,127],"includes":[100],"all":[103],"recognition":[104],"classes.":[105],"However,":[106],"collecting":[107],"comprehensive":[109],"can":[112,150,270],"difficult":[114],"even":[116],"impossible":[117],"for":[118,196,226],"healthcare":[121],"applications.":[122],"In":[123],"many":[124],"real-world":[125],"scenarios,":[126],"feasible":[130],"collect":[132],"short":[134],"neutral":[135,141,192],"control":[136,194],"video":[137,195],"(which":[138],"displays":[139],"expressions)":[142],"subjects":[145],"before":[146],"deployment.":[147],"These":[148],"used":[152],"better":[158],"handle":[159],"expressions":[163,216],"among":[164],"subjects.":[165],"This":[166],"paper":[167],"introduces":[168],"Disentangled":[170],"(DSFDA)":[172],"method":[173,209],"address":[175],"challenge":[177],"posed":[178],"adapting":[180],"with":[182,204],"missing":[183,205,222],"expression":[185,224],"data.":[186,207],"DSFDA":[187,268],"leverages":[188],"end-to-end":[197],"generation":[198],"non-neutral":[206,223],"Our":[208],"learns":[210],"disentangle":[212],"features":[213],"related":[214],"identity":[218,249],"while":[219],"generating":[220],"subject,":[229],"enhancing":[231],"accuracy.":[233],"Additionally,":[234],"our":[235,267],"self-supervision":[236],"strategy":[237],"improves":[238],"reconstructing":[242],"images":[244],"that":[245,266],"maintain":[246],"same":[248],"expression.":[252],"Experimental":[253],"results<sup":[254],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[255,275],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>":[256],"on":[257],"challenging":[259],"BioVid,":[260],"UNBC-McMaster":[261],"StressID":[263],"datasets":[264],"indicate":[265],"approach":[269],"outperform":[271],"state-of-the-art":[272],"methods.<sup":[274],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">1</sup>https://github.com/MasoumehSharafi/DSFDA/":[276]},"counts_by_year":[],"updated_date":"2026-04-21T08:09:41.155169","created_date":"2025-10-10T00:00:00"}