{"id":"https://openalex.org/W4386820979","doi":"https://doi.org/10.23919/ccc58697.2023.10240537","title":"A Multi-Head Convolution Network with Attention Consistency for Facial Expression Recognition","display_name":"A Multi-Head Convolution Network with Attention Consistency for Facial Expression Recognition","publication_year":2023,"publication_date":"2023-07-24","ids":{"openalex":"https://openalex.org/W4386820979","doi":"https://doi.org/10.23919/ccc58697.2023.10240537"},"language":"en","primary_location":{"id":"doi:10.23919/ccc58697.2023.10240537","doi":"https://doi.org/10.23919/ccc58697.2023.10240537","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/ccc58697.2023.10240537","pdf_url":null,"source":{"id":"https://openalex.org/S4363607703","display_name":"Chinese Control Conference (CCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2023 42nd Chinese Control Conference (CCC)","raw_type":"proceedings-article"},"volume":null,"type":"conference-paper","is_traditional":true,"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/A5003394377","display_name":"Wenkang Liu","orcid":"https://orcid.org/0000-0002-4880-0897","observed_orcids":["https://orcid.org/0000-0002-4880-0897"]},"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":"Wenkang Liu","raw_affiliation_strings":["Beihang University,the Department of Automation Science and Electrical Engineering,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,the Department of Automation Science and Electrical Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003359872","display_name":"Mingyi Sun","orcid":"https://orcid.org/0000-0003-2293-0818","observed_orcids":["https://orcid.org/0000-0003-2293-0818"]},"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":"Mingyi Sun","raw_affiliation_strings":["Beihang University,the Department of Automation Science and Electrical Engineering,Beijing,China,100191"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,the Department of Automation Science and Electrical Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100421442","display_name":"Yang Li","orcid":"https://orcid.org/0000-0002-1751-1742","observed_orcids":["https://orcid.org/0000-0002-1751-1742"]},"institutions":[{"id":"https://openalex.org/I20231570","display_name":"Peking University","ror":"https://ror.org/02v51f717","country_code":"CN","type":"education","lineage":["https://openalex.org/I20231570"]},{"id":"https://openalex.org/I4392738276","display_name":"State Key Laboratory of Virtual Reality Technology and Systems","ror":"https://ror.org/0009eea46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"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":"Yang Li","raw_affiliation_strings":["Beihang University,the Department of Automation Science and Electrical Engineering,Beijing,China,100191","Advanced Institute of Information Technology, Peking University, Hangzhou, China","State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","the Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Beihang University,the Department of Automation Science and Electrical Engineering,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"Advanced Institute of Information Technology, Peking University, Hangzhou, China","institution_ids":["https://openalex.org/I20231570"]},{"raw_affiliation_string":"State Key Laboratory of Virtual Reality Technology and Systems, Beihang University, Beijing, China","institution_ids":["https://openalex.org/I4392738276","https://openalex.org/I82880672"]},{"raw_affiliation_string":"the Beijing Advanced Innovation Center for Big Data and Brain Computing, Beijing, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.2209,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.42295735,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":88,"max":93},"biblio":{"volume":null,"issue":null,"first_page":"8616","last_page":"8621"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.8515999913215637,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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/T10667","display_name":"Emotion and Mood Recognition","score":0.8515999913215637,"subfield":{"id":"https://openalex.org/subfields/1702","display_name":"Artificial Intelligence"},"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":0.12880000472068787,"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":0.011599999852478504,"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/facial-expression-recognition","display_name":"facial expression recognition","score":1.0},{"id":"https://openalex.org/keywords/multi-head-attention","display_name":"multi-head attention","score":0.9879999756813049},{"id":"https://openalex.org/keywords/semantic-consistency","display_name":"semantic consistency","score":0.6169999837875366}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7664492130279541},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.7211804986000061},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5820834636688232},{"id":"https://openalex.org/C73555534","wikidata":"https://www.wikidata.org/wiki/Q622825","display_name":"Cluster analysis","level":2,"score":0.5560897588729858},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5396987795829773},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5307754278182983},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.5186166763305664},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.492696076631546},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.42785608768463135},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4244350790977478},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.41832977533340454},{"id":"https://openalex.org/C2777210771","wikidata":"https://www.wikidata.org/wiki/Q4927124","display_name":"Block (permutation group theory)","level":2,"score":0.4162721633911133},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.4114062190055847},{"id":"https://openalex.org/C26760741","wikidata":"https://www.wikidata.org/wiki/Q160402","display_name":"Perception","level":2,"score":0.41064757108688354},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3859788775444031},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.3527718782424927},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.14284628629684448},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.07987692952156067},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","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},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C169760540","wikidata":"https://www.wikidata.org/wiki/Q207011","display_name":"Neuroscience","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:10.23919/ccc58697.2023.10240537","doi":"https://doi.org/10.23919/ccc58697.2023.10240537","is_oa":false,"landing_page_url":"http://dx.doi.org/10.23919/ccc58697.2023.10240537","pdf_url":null,"source":{"id":"https://openalex.org/S4363607703","display_name":"Chinese Control Conference (CCC)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"listed_in":[],"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":"2023 42nd Chinese Control Conference (CCC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"study_designs":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":35,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W2003238582","https://openalex.org/W2083021723","https://openalex.org/W2125434646","https://openalex.org/W2194775991","https://openalex.org/W2481681431","https://openalex.org/W2520774990","https://openalex.org/W2580365077","https://openalex.org/W2738672149","https://openalex.org/W2902923584","https://openalex.org/W2904483377","https://openalex.org/W2963712289","https://openalex.org/W2972252050","https://openalex.org/W2980844465","https://openalex.org/W2998633236","https://openalex.org/W3003720578","https://openalex.org/W3023130389","https://openalex.org/W3035336958","https://openalex.org/W3118405827","https://openalex.org/W3118530108","https://openalex.org/W3128071182","https://openalex.org/W3162027654","https://openalex.org/W3165065619","https://openalex.org/W3167651619","https://openalex.org/W3173787706","https://openalex.org/W3176443629","https://openalex.org/W3194331687","https://openalex.org/W3195677004","https://openalex.org/W3211510783","https://openalex.org/W4224919887","https://openalex.org/W4291910522","https://openalex.org/W4292829032","https://openalex.org/W4297100937","https://openalex.org/W4323338516","https://openalex.org/W6732875583"],"related_works":["https://openalex.org/W4404240587","https://openalex.org/W4388551627","https://openalex.org/W4376278471","https://openalex.org/W7123342893","https://openalex.org/W7117100636","https://openalex.org/W4298012208","https://openalex.org/W7123518905","https://openalex.org/W7168193631","https://openalex.org/W4411593243","https://openalex.org/W4415013072"],"abstract_inverted_index":{"In":[0,56],"recent":[1],"years,":[2],"the":[3,23,32,43,49,53,58,63,68,71,80,84,96,119],"demand":[4],"for":[5],"facial":[6],"expression":[7],"recognition":[8,25,132],"applications":[9],"has":[10,16],"increased":[11],"rapidly,":[12],"and":[13,38,66,76,109,139],"its":[14],"research":[15],"received":[17],"extensive":[18],"attention":[19,37,47,61],"from":[20],"researchers.":[21],"However,":[22],"current":[24],"methods":[26],"based":[27],"on":[28,134],"deep":[29],"learning":[30],"ignore":[31],"idea":[33],"of":[34,52,98],"multiple":[35],"head":[36],"semantic":[39],"consistency,":[40],"resulting":[41,70],"in":[42,79],"model":[44],"only":[45],"paying":[46],"to":[48,62,117],"local":[50],"area":[51],"feature":[54],"map.":[55],"addition,":[57],"model's":[59,120],"inconsistent":[60],"images":[64],"before":[65],"after":[67],"flip,":[69],"poor":[72,74],"robustness,":[73],"interpretation,":[75],"other":[77],"shortcomings":[78],"model.":[81],"To":[82],"address":[83],"above":[85],"problems,":[86],"we":[87],"propose":[88],"an":[89],"Affinity":[90],"Separation":[91],"Loss":[92,112],"(ASLoss),":[93],"which":[94],"improves":[95],"separability":[97],"samples":[99],"through":[100],"clustering.":[101],"Moreover,":[102],"a":[103,110],"Separate":[104],"Multi-head":[105],"Attention":[106],"block":[107],"(SMA),":[108],"Zonal":[111],"(ZLoss)":[113],"are":[114],"also":[115],"designed":[116],"decentralize":[118],"attention.":[121],"Experimental":[122],"results":[123],"demonstrate":[124],"that":[125],"our":[126],"proposed":[127],"MACNet":[128],"method":[129],"achieves":[130],"competitive":[131],"performance":[133],"two":[135],"public":[136],"datasets":[137],"RAF-DB":[138],"FERPlus.":[140]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-11-04T10:54:05.112534","created_date":"2023-09-19T00:00:00"}