{"id":"https://openalex.org/W4400527809","doi":"https://doi.org/10.1109/fg59268.2024.10581989","title":"DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition","display_name":"DrFER: Learning Disentangled Representations for 3D Facial Expression Recognition","publication_year":2024,"publication_date":"2024-05-27","ids":{"openalex":"https://openalex.org/W4400527809","doi":"https://doi.org/10.1109/fg59268.2024.10581989"},"language":"en","primary_location":{"id":"doi:10.1109/fg59268.2024.10581989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg59268.2024.10581989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","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/A5054116886","display_name":"Hebeizi Li","orcid":null},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hebeizi Li","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057118376","display_name":"Hongyu Yang","orcid":"https://orcid.org/0000-0002-6955-2503"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongyu Yang","raw_affiliation_strings":["Institute of Artificial Intelligence, Beihang University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Institute of Artificial Intelligence, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056972984","display_name":"Di Huang","orcid":"https://orcid.org/0000-0002-2412-9330"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Di Huang","raw_affiliation_strings":["School of Computer Science and Engineering, Beihang University,Beijing,China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Beihang University,Beijing,China","institution_ids":["https://openalex.org/I82880672"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":1.0517,"has_fulltext":false,"cited_by_count":4,"citation_normalized_percentile":{"value":0.81474264,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9790999889373779,"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":0.9790999889373779,"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":0.9064000248908997,"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":0.9039999842643738,"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/computer-science","display_name":"Computer science","score":0.6452770829200745},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.5981423258781433},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.45371872186660767},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.44459137320518494},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.40152600407600403},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3661084473133087},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.3421446681022644}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6452770829200745},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5981423258781433},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.45371872186660767},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.44459137320518494},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.40152600407600403},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3661084473133087},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3421446681022644}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/fg59268.2024.10581989","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg59268.2024.10581989","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 IEEE 18th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.7300000190734863,"display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G8869886605","display_name":null,"funder_award_id":"4222049","funder_id":"https://openalex.org/F4320322919","funder_display_name":"Natural Science Foundation of Beijing Municipality"}],"funders":[{"id":"https://openalex.org/F4320322919","display_name":"Natural Science Foundation of Beijing Municipality","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1040410175","https://openalex.org/W1566413196","https://openalex.org/W1603155784","https://openalex.org/W1978435065","https://openalex.org/W2003238582","https://openalex.org/W2053432263","https://openalex.org/W2057747179","https://openalex.org/W2075688085","https://openalex.org/W2096733369","https://openalex.org/W2102539767","https://openalex.org/W2104539097","https://openalex.org/W2108113956","https://openalex.org/W2136063698","https://openalex.org/W2137306662","https://openalex.org/W2139916508","https://openalex.org/W2187089797","https://openalex.org/W2339620988","https://openalex.org/W2534547303","https://openalex.org/W2560722161","https://openalex.org/W2621864722","https://openalex.org/W2729636247","https://openalex.org/W2737047298","https://openalex.org/W2752758619","https://openalex.org/W2806015799","https://openalex.org/W2896821935","https://openalex.org/W2898795295","https://openalex.org/W2917887692","https://openalex.org/W2960608680","https://openalex.org/W2963121255","https://openalex.org/W2963767627","https://openalex.org/W2963895345","https://openalex.org/W2989797923","https://openalex.org/W3001589575","https://openalex.org/W3034371424","https://openalex.org/W3034588700","https://openalex.org/W3035471785","https://openalex.org/W3090835371","https://openalex.org/W3104885203","https://openalex.org/W3170717638","https://openalex.org/W3175713115","https://openalex.org/W3176472421","https://openalex.org/W3217293147","https://openalex.org/W4206161676","https://openalex.org/W4211249450","https://openalex.org/W4229507706","https://openalex.org/W4293519397","https://openalex.org/W4298348845","https://openalex.org/W4386597236","https://openalex.org/W6675549610","https://openalex.org/W6739778489","https://openalex.org/W6806133772"],"related_works":["https://openalex.org/W2347824352","https://openalex.org/W2112875849","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2162992774","https://openalex.org/W4323520705","https://openalex.org/W2356663679"],"abstract_inverted_index":{"Facial":[0],"Expression":[1],"Recognition":[2],"(FER)":[3],"has":[4],"consistently":[5],"been":[6],"a":[7,71],"focal":[8],"point":[9,110],"in":[10,87,121,126],"the":[11,17,28,40,51,57,64,88,97,105,116,119,136,145],"field":[12,65],"of":[13,19,30,42,59,66,118,147],"facial":[14,90,123],"analysis.":[15],"In":[16],"context":[18],"existing":[20],"methodologies":[21],"for":[22],"3D":[23,67,89,149],"FER":[24,150],"or":[25],"2D+3D":[26],"FER,":[27],"extraction":[29],"expression":[31,77],"features":[32],"often":[33],"gets":[34],"entangled":[35],"with":[36],"identity":[37,80],"information,":[38],"compromising":[39],"distinctiveness":[41],"these":[43],"features.":[44],"To":[45],"tackle":[46],"this":[47],"challenge,":[48],"we":[49,92],"introduce":[50],"innovative":[52],"DrFER":[53,69,143],"method,":[54],"which":[55],"brings":[56],"concept":[58],"disentangled":[60],"representation":[61],"learning":[62],"to":[63,74,103,109],"FER.":[68],"employs":[70],"dual-branch":[72],"framework":[73,107,120],"effectively":[75],"disentangle":[76],"information":[78],"from":[79,83],"information.":[81],"Diverging":[82],"prior":[84],"disentanglement":[85],"endeavors":[86],"domain,":[91],"have":[93],"carefully":[94],"reconfigured":[95],"both":[96],"loss":[98],"functions":[99],"and":[100,138],"network":[101],"structure":[102],"make":[104],"overall":[106],"adaptable":[108],"cloud":[111],"data.":[112],"This":[113],"adaptation":[114],"enhances":[115],"capability":[117],"recognizing":[122],"expressions,":[124],"even":[125],"cases":[127],"involving":[128],"varying":[129],"head":[130],"poses.":[131],"Extensive":[132],"evaluations":[133],"conducted":[134],"on":[135],"BU-3DFE":[137],"Bosphorus":[139],"datasets":[140],"substantiate":[141],"that":[142],"surpasses":[144],"performance":[146],"other":[148],"methods.":[151]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}