{"id":"https://openalex.org/W4401067233","doi":"https://doi.org/10.1145/3670105.3670210","title":"Facial Action Unit Recognition Based on Self-Attention Spatiotemporal Fusion","display_name":"Facial Action Unit Recognition Based on Self-Attention Spatiotemporal Fusion","publication_year":2024,"publication_date":"2024-05-24","ids":{"openalex":"https://openalex.org/W4401067233","doi":"https://doi.org/10.1145/3670105.3670210"},"language":"en","primary_location":{"id":"doi:10.1145/3670105.3670210","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670105.3670210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things","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/A5075913660","display_name":"Chaolei Liang","orcid":"https://orcid.org/0009-0007-4757-0544"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chaolei Liang","raw_affiliation_strings":["SooChow University, China"],"raw_orcid":"https://orcid.org/0009-0007-4757-0544","affiliations":[{"raw_affiliation_string":"SooChow University, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034070094","display_name":"Wei Zou","orcid":null},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zou","raw_affiliation_strings":["SooChow University, China"],"raw_orcid":"https://orcid.org/0000-0003-2704-0021","affiliations":[{"raw_affiliation_string":"SooChow University, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019758283","display_name":"Danfeng Hu","orcid":"https://orcid.org/0009-0004-9821-5356"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Danfeng Hu","raw_affiliation_strings":["SooChow University, China"],"raw_orcid":"https://orcid.org/0009-0004-9821-5356","affiliations":[{"raw_affiliation_string":"SooChow University, China","institution_ids":["https://openalex.org/I3923682"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5035529157","display_name":"J Wang","orcid":"https://orcid.org/0000-0003-4843-2040"},"institutions":[{"id":"https://openalex.org/I3923682","display_name":"Soochow University","ror":"https://ror.org/05t8y2r12","country_code":"CN","type":"education","lineage":["https://openalex.org/I3923682"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jiajun Wang","raw_affiliation_strings":["SooChow University, China"],"raw_orcid":"https://orcid.org/0000-0003-4843-2040","affiliations":[{"raw_affiliation_string":"SooChow University, China","institution_ids":["https://openalex.org/I3923682"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I3923682"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"600","last_page":"605"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10057","display_name":"Face and Expression Recognition","score":0.9940999746322632,"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":0.9940999746322632,"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":0.9815000295639038,"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":0.9804999828338623,"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":0.7383955717086792},{"id":"https://openalex.org/keywords/action","display_name":"Action (physics)","score":0.5744745135307312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5586637258529663},{"id":"https://openalex.org/keywords/fusion","display_name":"Fusion","score":0.5577391982078552},{"id":"https://openalex.org/keywords/action-recognition","display_name":"Action recognition","score":0.5119877457618713},{"id":"https://openalex.org/keywords/unit","display_name":"Unit (ring theory)","score":0.4954608678817749},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4904806315898895},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4252112805843353},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4179858863353729},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32752251625061035},{"id":"https://openalex.org/keywords/psychology","display_name":"Psychology","score":0.10611563920974731}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7383955717086792},{"id":"https://openalex.org/C2780791683","wikidata":"https://www.wikidata.org/wiki/Q846785","display_name":"Action (physics)","level":2,"score":0.5744745135307312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5586637258529663},{"id":"https://openalex.org/C158525013","wikidata":"https://www.wikidata.org/wiki/Q2593739","display_name":"Fusion","level":2,"score":0.5577391982078552},{"id":"https://openalex.org/C2987834672","wikidata":"https://www.wikidata.org/wiki/Q4677630","display_name":"Action recognition","level":3,"score":0.5119877457618713},{"id":"https://openalex.org/C122637931","wikidata":"https://www.wikidata.org/wiki/Q118084","display_name":"Unit (ring theory)","level":2,"score":0.4954608678817749},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4904806315898895},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4252112805843353},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4179858863353729},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32752251625061035},{"id":"https://openalex.org/C15744967","wikidata":"https://www.wikidata.org/wiki/Q9418","display_name":"Psychology","level":0,"score":0.10611563920974731},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C145420912","wikidata":"https://www.wikidata.org/wiki/Q853077","display_name":"Mathematics education","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:10.1145/3670105.3670210","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3670105.3670210","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 2024 5th International Conference on Computing, Networks and Internet of Things","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":20,"referenced_works":["https://openalex.org/W1980331490","https://openalex.org/W2045472600","https://openalex.org/W2051297709","https://openalex.org/W2116341502","https://openalex.org/W2421475762","https://openalex.org/W2612215259","https://openalex.org/W2784208377","https://openalex.org/W2789992948","https://openalex.org/W2884585870","https://openalex.org/W2903991757","https://openalex.org/W2982033433","https://openalex.org/W2991595075","https://openalex.org/W3101614002","https://openalex.org/W3102025332","https://openalex.org/W3105960011","https://openalex.org/W3173225380","https://openalex.org/W3206854705","https://openalex.org/W3207978867","https://openalex.org/W4308890007","https://openalex.org/W4377098248"],"related_works":["https://openalex.org/W611386996","https://openalex.org/W2371343292","https://openalex.org/W629290331","https://openalex.org/W617685022","https://openalex.org/W1509983653","https://openalex.org/W3215563689","https://openalex.org/W610590827","https://openalex.org/W591599671","https://openalex.org/W1556748146","https://openalex.org/W1990796017"],"abstract_inverted_index":{"Facial":[0],"Action":[1],"Units":[2],"(AUs)":[3],"serve":[4],"as":[5],"a":[6,52,61,106],"precise":[7],"descriptor":[8],"of":[9],"facial":[10,26,148],"expressions,":[11],"revealing":[12],"an":[13],"individual\u2019s":[14],"psychological":[15],"and":[16,76,102,120,125,136],"mental":[17],"state.":[18],"Therefore,":[19],"AU":[20,94,115,149],"detection":[21],"plays":[22],"important":[23],"roles":[24],"in":[25,99,147],"expression":[27],"recognition.":[28],"Existing":[29],"methods":[30,146],"often":[31],"focus":[32],"on":[33,131],"extracting":[34],"intra-frame":[35,114,119],"information":[36,72,91,122],"while":[37,105],"pay":[38],"less":[39],"attention":[40],"to":[41,68,88,112],"inter-frame":[42,121],"feature":[43,62,71],"changes.":[44],"To":[45],"address":[46],"this":[47,49,59],"issue,":[48],"paper":[50],"proposes":[51],"self-attention":[53],"spatiotemporal":[54,81],"fusion":[55],"method":[56],"(SAtt-STPN).":[57],"In":[58],"method,":[60],"extractor":[63],"(AFE)":[64],"is":[65,85,110],"specifically":[66,86],"designed":[67,87],"extract":[69],"uniform":[70],"from":[73],"both":[74,100],"strongly":[75],"weakly":[77],"correlated":[78],"regions.":[79],"A":[80],"perception":[82],"(STP)":[83],"module":[84],"capture":[89],"temporal":[90,103],"for":[92,127],"each":[93],"through":[95],"mutually-driven":[96],"independent":[97],"branches":[98],"spatial":[101],"dimensions":[104],"graph":[107],"convolutional":[108],"network":[109],"adopted":[111],"model":[113],"relationships":[116],"(ARM).":[117],"Ultimately,":[118],"are":[123],"weighted":[124],"fused":[126],"classification.":[128],"Experimental":[129],"results":[130],"two":[132],"public":[133],"datasets":[134],"(BP4D":[135],"DISFA)":[137],"show":[138],"that":[139],"the":[140],"our":[141],"proposed":[142],"SAtt-STPN":[143],"outperforms":[144],"state-of-the-art":[145],"detection.":[150]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}