{"id":"https://openalex.org/W4390638570","doi":"https://doi.org/10.1007/s10489-023-05154-7","title":"Learning facial expression-aware global-to-local representation for robust action unit detection","display_name":"Learning facial expression-aware global-to-local representation for robust action unit detection","publication_year":2024,"publication_date":"2024-01-01","ids":{"openalex":"https://openalex.org/W4390638570","doi":"https://doi.org/10.1007/s10489-023-05154-7"},"language":"en","primary_location":{"id":"doi:10.1007/s10489-023-05154-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-023-05154-7","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-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/A5010729494","display_name":"An RuDong","orcid":"https://orcid.org/0000-0002-8575-8229"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Rudong An","raw_affiliation_strings":["Virtual Human Group, Netease Fuxi AI Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Virtual Human Group, Netease Fuxi AI Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5045393459","display_name":"Aobo Jin","orcid":"https://orcid.org/0000-0001-8931-6682"},"institutions":[{"id":"https://openalex.org/I173388201","display_name":"University of Houston - Victoria","ror":"https://ror.org/01khwek78","country_code":"US","type":"education","lineage":["https://openalex.org/I173388201"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Aobo Jin","raw_affiliation_strings":["University of Houston-Victoria, Houston, USA"],"affiliations":[{"raw_affiliation_string":"University of Houston-Victoria, Houston, USA","institution_ids":["https://openalex.org/I173388201"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100344411","display_name":"Wei Chen","orcid":"https://orcid.org/0000-0002-2858-9609"},"institutions":[{"id":"https://openalex.org/I108160477","display_name":"Hebei Agricultural University","ror":"https://ror.org/009fw8j44","country_code":"CN","type":"education","lineage":["https://openalex.org/I108160477"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Chen","raw_affiliation_strings":["Hebei Agricultural University, Hebei, China"],"affiliations":[{"raw_affiliation_string":"Hebei Agricultural University, Hebei, China","institution_ids":["https://openalex.org/I108160477"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100441703","display_name":"Wei Zhang","orcid":"https://orcid.org/0000-0002-8208-3342"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["Virtual Human Group, Netease Fuxi AI Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Virtual Human Group, Netease Fuxi AI Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064480213","display_name":"Hao Zeng","orcid":"https://orcid.org/0000-0002-9150-214X"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hao Zeng","raw_affiliation_strings":["Virtual Human Group, Netease Fuxi AI Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Virtual Human Group, Netease Fuxi AI Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5026683388","display_name":"Zhigang Deng","orcid":"https://orcid.org/0000-0002-0452-8676"},"institutions":[{"id":"https://openalex.org/I44461941","display_name":"University of Houston","ror":"https://ror.org/048sx0r50","country_code":"US","type":"education","lineage":["https://openalex.org/I44461941"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Zhigang Deng","raw_affiliation_strings":["University of Houston, Houston, TX, USA"],"affiliations":[{"raw_affiliation_string":"University of Houston, Houston, TX, USA","institution_ids":["https://openalex.org/I44461941"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101853531","display_name":"Yu Ding","orcid":"https://orcid.org/0000-0003-1834-4429"},"institutions":[{"id":"https://openalex.org/I4210091137","display_name":"NetEase (China)","ror":"https://ror.org/00fp6fj05","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210091137"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Ding","raw_affiliation_strings":["Virtual Human Group, Netease Fuxi AI Lab, Hangzhou, China"],"affiliations":[{"raw_affiliation_string":"Virtual Human Group, Netease Fuxi AI Lab, Hangzhou, China","institution_ids":["https://openalex.org/I4210091137"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5010729494"],"corresponding_institution_ids":["https://openalex.org/I4210091137"],"apc_list":{"value":2390,"currency":"EUR","value_usd":2990},"apc_paid":null,"fwci":4.881,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.94998325,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":"54","issue":"2","first_page":"1405","last_page":"1425"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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"}},"topics":[{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9998999834060669,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9973999857902527,"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":0.9973000288009644,"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/overfitting","display_name":"Overfitting","score":0.9642863869667053},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8538274765014648},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.7101894021034241},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6921024918556213},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6292597055435181},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5595149993896484},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5553605556488037},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5403078198432922},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.43753528594970703},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3780827522277832},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1303248405456543}],"concepts":[{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.9642863869667053},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8538274765014648},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.7101894021034241},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6921024918556213},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6292597055435181},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5595149993896484},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5553605556488037},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5403078198432922},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.43753528594970703},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3780827522277832},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1303248405456543},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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},{"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/s10489-023-05154-7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/s10489-023-05154-7","pdf_url":null,"source":{"id":"https://openalex.org/S74726891","display_name":"Applied Intelligence","issn_l":"0924-669X","issn":["0924-669X","1573-7497"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Applied Intelligence","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1588539311","https://openalex.org/W1677182931","https://openalex.org/W1940404584","https://openalex.org/W1968015059","https://openalex.org/W1981276685","https://openalex.org/W2045472600","https://openalex.org/W2051297709","https://openalex.org/W2065379720","https://openalex.org/W2095499283","https://openalex.org/W2107037917","https://openalex.org/W2140351517","https://openalex.org/W2194775991","https://openalex.org/W2470957930","https://openalex.org/W2583591231","https://openalex.org/W2603777577","https://openalex.org/W2745497104","https://openalex.org/W2784208377","https://openalex.org/W2789992948","https://openalex.org/W2798545058","https://openalex.org/W2903991757","https://openalex.org/W2905511418","https://openalex.org/W2932399282","https://openalex.org/W2943929354","https://openalex.org/W2953843303","https://openalex.org/W2963409517","https://openalex.org/W2964350391","https://openalex.org/W2969059826","https://openalex.org/W2974067445","https://openalex.org/W2989722689","https://openalex.org/W2995659499","https://openalex.org/W2997136715","https://openalex.org/W3011227460","https://openalex.org/W3034600949","https://openalex.org/W3101614002","https://openalex.org/W3108527469","https://openalex.org/W3115865297","https://openalex.org/W3122081138","https://openalex.org/W3176327573","https://openalex.org/W3176721746","https://openalex.org/W3177021747","https://openalex.org/W3185372235","https://openalex.org/W3196718173","https://openalex.org/W3203429618","https://openalex.org/W3206854705","https://openalex.org/W4200536610","https://openalex.org/W4285601347","https://openalex.org/W4308890007","https://openalex.org/W4309617235","https://openalex.org/W4311143217","https://openalex.org/W4378418175","https://openalex.org/W4379619280"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W2922073769","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4221142204","https://openalex.org/W2642127892"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":7},{"year":2024,"cited_by_count":2}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
