{"id":"https://openalex.org/W2903991757","doi":"https://doi.org/10.1609/aaai.v33i01.33018594","title":"Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition","display_name":"Semantic Relationships Guided Representation Learning for Facial Action Unit Recognition","publication_year":2019,"publication_date":"2019-07-17","ids":{"openalex":"https://openalex.org/W2903991757","doi":"https://doi.org/10.1609/aaai.v33i01.33018594","mag":"2903991757"},"language":"en","primary_location":{"id":"doi:10.1609/aaai.v33i01.33018594","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018594","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4879/4752","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"type":"conference-paper","indexed_in":["crossref"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4879/4752","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5042965510","display_name":"Guanbin Li","orcid":"https://orcid.org/0000-0002-4805-0926"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guanbin Li","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105923667","display_name":"Xin Zhu","orcid":"https://orcid.org/0000-0002-4376-0806"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xin Zhu","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079147046","display_name":"Yirui Zeng","orcid":null},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yirui Zeng","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017825819","display_name":"Qing Wang","orcid":"https://orcid.org/0000-0002-1108-3134"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qing Wang","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100412937","display_name":"Liang Lin","orcid":"https://orcid.org/0000-0003-2248-3755"},"institutions":[{"id":"https://openalex.org/I157773358","display_name":"Sun Yat-sen University","ror":"https://ror.org/0064kty71","country_code":"CN","type":"education","lineage":["https://openalex.org/I157773358"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Lin","raw_affiliation_strings":["Sun Yat-sen University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Sun Yat-sen University","institution_ids":["https://openalex.org/I157773358"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I157773358"],"apc_list":null,"apc_paid":null,"fwci":7.503,"has_fulltext":true,"cited_by_count":165,"citation_normalized_percentile":{"value":0.97549921,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"33","issue":"01","first_page":"8594","last_page":"8601"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9847000241279602,"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":0.9847000241279602,"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":0.9800999760627747,"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/T10057","display_name":"Face and Expression Recognition","score":0.963100016117096,"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":0.800470769405365},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6371833682060242},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.6143198609352112},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5834230780601501},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.47243818640708923},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4324916899204254},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40865468978881836},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3958952724933624},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.3943134844303131},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.2125997543334961}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.800470769405365},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6371833682060242},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.6143198609352112},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5834230780601501},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.47243818640708923},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4324916899204254},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40865468978881836},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3958952724933624},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.3943134844303131},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.2125997543334961},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","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/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1609/aaai.v33i01.33018594","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018594","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4879/4752","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},{"id":"pmh:oai:ojs.aaai.org:article/4879","is_oa":false,"landing_page_url":"https://ojs.aaai.org/index.php/AAAI/article/view/4879","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"2159-5399","raw_type":"info:eu-repo/semantics/article"}],"best_oa_location":{"id":"doi:10.1609/aaai.v33i01.33018594","is_oa":true,"landing_page_url":"https://doi.org/10.1609/aaai.v33i01.33018594","pdf_url":"https://ojs.aaai.org/index.php/AAAI/article/download/4879/4752","source":{"id":"https://openalex.org/S4210191458","display_name":"Proceedings of the AAAI Conference on Artificial Intelligence","issn_l":"2159-5399","issn":["2159-5399","2374-3468"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/P4310320058","host_organization_name":"Association for the Advancement of Artificial Intelligence","host_organization_lineage":["https://openalex.org/P4310320058"],"host_organization_lineage_names":["Association for the Advancement of Artificial Intelligence"],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the AAAI Conference on Artificial Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"score":0.7900000214576721,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1945170033","display_name":null,"funder_award_id":"18lgpy63","funder_id":"https://openalex.org/F4320335787","funder_display_name":"Fundamental Research Funds for the Central Universities"},{"id":"https://openalex.org/G573022218","display_name":null,"funder_award_id":"U1613211","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8057038435","display_name":null,"funder_award_id":"61702565","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320326701","display_name":"Recruitment Program of Global Experts","ror":null},{"id":"https://openalex.org/F4320335787","display_name":"Fundamental Research Funds for the Central Universities","ror":null},{"id":"https://openalex.org/F4320336605","display_name":"National Ten Thousand Talent Program","ror":null}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W2903991757.pdf","grobid_xml":"https://content.openalex.org/works/W2903991757.grobid-xml"},"referenced_works_count":32,"referenced_works":["https://openalex.org/W1628791547","https://openalex.org/W1686810756","https://openalex.org/W1940404584","https://openalex.org/W2018727909","https://openalex.org/W2045472600","https://openalex.org/W2101965618","https://openalex.org/W2108445559","https://openalex.org/W2118585731","https://openalex.org/W2135148528","https://openalex.org/W2138648333","https://openalex.org/W2143899944","https://openalex.org/W2145287260","https://openalex.org/W2194775991","https://openalex.org/W2421475762","https://openalex.org/W2483843242","https://openalex.org/W2589142773","https://openalex.org/W2605929543","https://openalex.org/W2609450230","https://openalex.org/W2612215259","https://openalex.org/W2726020179","https://openalex.org/W2798833386","https://openalex.org/W2894961485","https://openalex.org/W2899771611","https://openalex.org/W2950898568","https://openalex.org/W2951897259","https://openalex.org/W2963951674","https://openalex.org/W2964007075","https://openalex.org/W2995034616","https://openalex.org/W6677656871","https://openalex.org/W6687483927","https://openalex.org/W6736317898","https://openalex.org/W6756040250"],"related_works":["https://openalex.org/W2382607599","https://openalex.org/W4287995534","https://openalex.org/W2998168123","https://openalex.org/W4281760909","https://openalex.org/W2521850565","https://openalex.org/W2592385986","https://openalex.org/W2944661354","https://openalex.org/W2905846897","https://openalex.org/W2546942002","https://openalex.org/W2970216048"],"abstract_inverted_index":{"Facial":[0],"action":[1],"unit":[2],"(AU)":[3],"recognition":[4],"is":[5,56,172],"a":[6,81,132,139],"crucial":[7],"task":[8],"for":[9,59,150],"facial":[10,92,117,122],"expressions":[11],"analysis":[12],"and":[13,24,94,110,130,164,175,185,203],"has":[14],"attracted":[15],"extensive":[16],"attention":[17],"in":[18,80,115,124,138],"the":[19,74,88,108,121,125,148,156,161,165,169,191,200,207],"field":[20],"of":[21,45,53,91,113,127,206],"artificial":[22],"intelligence":[23],"computer":[25],"vision.":[26],"Existing":[27],"works":[28],"have":[29],"either":[30],"focused":[31],"on":[32,190],"designing":[33],"or":[34,40],"learning":[35,102],"complex":[36,64],"regional":[37],"feature":[38,89,158],"representations,":[39],"delved":[41],"into":[42],"various":[43,116],"types":[44],"AU":[46,97,153,166],"relationship":[47,76,99,167],"modeling.":[48],"Albeit":[49],"with":[50,178],"varying":[51],"degrees":[52],"progress,":[54],"it":[55],"still":[57],"arduous":[58],"existing":[60],"methods":[61],"to":[62,72,86,143],"handle":[63],"situations.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69,119],"investigate":[70],"how":[71],"integrate":[73,131],"semantic":[75,98],"propagation":[77],"between":[78],"AUs":[79,114,123],"deep":[82],"neural":[83],"network":[84],"framework":[85,142],"enhance":[87],"representation":[90,101],"regions,":[93],"propose":[95],"an":[96],"embedded":[100],"(SRERL)":[103],"framework.":[104],"Specifically,":[105],"by":[106],"analyzing":[107],"symbiosis":[109],"mutual":[111],"exclusion":[112],"expressions,":[118],"organize":[120],"form":[126],"structured":[128],"knowledge-graph":[129],"Gated":[133],"Graph":[134],"Neural":[135],"Network":[136],"(GGNN)":[137],"multi-scale":[140],"CNN":[141],"propagate":[144],"node":[145],"information":[146],"through":[147],"graph":[149],"generating":[151],"enhanced":[152],"representation.":[154],"As":[155],"learned":[157],"involves":[159],"both":[160],"appearance":[162],"characteristics":[163],"reasoning,":[168],"proposed":[170],"model":[171],"more":[173,179],"robust":[174],"can":[176],"cope":[177],"challenging":[180],"cases,":[181],"e.g.,":[182],"illumination":[183],"change":[184],"partial":[186],"occlusion.":[187],"Extensive":[188],"experiments":[189],"two":[192],"public":[193],"benchmarks":[194],"demonstrate":[195],"that":[196],"our":[197],"method":[198],"outperforms":[199],"previous":[201],"work":[202],"achieves":[204],"state":[205],"art":[208],"performance.":[209]},"counts_by_year":[{"year":2026,"cited_by_count":10},{"year":2025,"cited_by_count":23},{"year":2024,"cited_by_count":26},{"year":2023,"cited_by_count":24},{"year":2022,"cited_by_count":28},{"year":2021,"cited_by_count":35},{"year":2020,"cited_by_count":17},{"year":2019,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}