{"id":"https://openalex.org/W2982153880","doi":"https://doi.org/10.1145/3343031.3350872","title":"Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning","display_name":"Identity- and Pose-Robust Facial Expression Recognition through Adversarial Feature Learning","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2982153880","doi":"https://doi.org/10.1145/3343031.3350872","mag":"2982153880"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3350872","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-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/A5100428572","display_name":"Can Wang","orcid":"https://orcid.org/0000-0002-2890-0057"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Can Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5077046519","display_name":"Shangfei Wang","orcid":"https://orcid.org/0000-0003-1164-9895"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shangfei Wang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5074286511","display_name":"Guang Liang","orcid":"https://orcid.org/0000-0002-8278-849X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guang Liang","raw_affiliation_strings":["University of Science and Technology of China, Hefei, Anhui, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Science and Technology of China, Hefei, Anhui, China","institution_ids":["https://openalex.org/I126520041"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":7.2975,"has_fulltext":false,"cited_by_count":81,"citation_normalized_percentile":{"value":0.97439959,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":97,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"238","last_page":"246"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9988999962806702,"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":0.996999979019165,"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/discriminator","display_name":"Discriminator","score":0.8338042497634888},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7556061744689941},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7202454805374146},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6907960176467896},{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.6854867935180664},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6794703602790833},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.5816850662231445},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5643836259841919},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.5246356129646301},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.4851289689540863},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.45748984813690186},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.39449092745780945},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.323477566242218},{"id":"https://openalex.org/keywords/detector","display_name":"Detector","score":0.04807540774345398}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8338042497634888},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7556061744689941},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7202454805374146},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6907960176467896},{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.6854867935180664},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6794703602790833},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.5816850662231445},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5643836259841919},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.5246356129646301},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.4851289689540863},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.45748984813690186},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.39449092745780945},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.323477566242218},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.04807540774345398},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","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/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":1,"locations":[{"id":"doi:10.1145/3343031.3350872","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3350872","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7400000095367432}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":23,"referenced_works":["https://openalex.org/W9976222","https://openalex.org/W2025112904","https://openalex.org/W2041616772","https://openalex.org/W2083021723","https://openalex.org/W2104563967","https://openalex.org/W2187089797","https://openalex.org/W2274287116","https://openalex.org/W2360058381","https://openalex.org/W2487852963","https://openalex.org/W2542323081","https://openalex.org/W2551061776","https://openalex.org/W2586509596","https://openalex.org/W2600389231","https://openalex.org/W2730601341","https://openalex.org/W2737398044","https://openalex.org/W2745497104","https://openalex.org/W2798553619","https://openalex.org/W2798583514","https://openalex.org/W2805080735","https://openalex.org/W2805613995","https://openalex.org/W2896277673","https://openalex.org/W2896868133","https://openalex.org/W2912990735"],"related_works":["https://openalex.org/W4293202849","https://openalex.org/W1980965563","https://openalex.org/W1489300767","https://openalex.org/W2387995142","https://openalex.org/W4380714744","https://openalex.org/W2366944513","https://openalex.org/W2596763562","https://openalex.org/W2964218010","https://openalex.org/W2808862658","https://openalex.org/W1487808658"],"abstract_inverted_index":{"Existing":[0],"facial":[1,65,133],"expression":[2,42,60,66,77,91],"recognition":[3,67],"methods":[4],"either":[5],"focus":[6],"on":[7,142],"pose":[8,45,94,102],"variations":[9],"or":[10],"identity":[11],"bias,":[12],"but":[13],"not":[14],"both":[15,27],"simultaneously.":[16],"This":[17],"paper":[18],"proposes":[19],"an":[20,39,41,59],"adversarial":[21],"feature":[22,56,71,86,109,122,139],"learning":[23],"method":[24,34,152],"to":[25,63,126,135,153],"address":[26],"of":[28,36,149],"these":[29],"issues.":[30],"Specifically,":[31],"the":[32,69,76,84,101,104,107,117,120,138,147,150],"proposed":[33,151],"consists":[35],"five":[37,143],"components:":[38],"encoder,":[40],"classifier,":[43],"a":[44,47,51,97],"discriminator,":[46,49],"subject":[48,98,105],"and":[50,58,75,96,103,128],"generator.":[52],"An":[53],"encoder":[54,74],"extracts":[55],"representations,":[57],"classifier":[61,78],"tries":[62],"perform":[64],"using":[68],"extracted":[70,85,108,121],"representations.":[72,140],"The":[73],"are":[79,88,113,124],"trained":[80,114],"collaboratively,":[81],"so":[82],"that":[83],"representations":[87,110,123],"discriminative":[89],"for":[90],"recognition.":[92],"A":[93,130],"discriminator":[95,99],"classify":[100],"from":[106],"respectively.":[111],"They":[112],"adversarially":[115],"with":[116],"encoder.":[118],"Thus,":[119],"robust":[125],"poses":[127],"subjects.":[129],"generator":[131],"reconstructs":[132],"images":[134],"further":[136],"favor":[137],"Experiments":[141],"benchmark":[144],"databases":[145],"demonstrate":[146],"superiority":[148],"state-of-the-art":[154],"work.":[155]},"counts_by_year":[{"year":2025,"cited_by_count":5},{"year":2024,"cited_by_count":18},{"year":2023,"cited_by_count":22},{"year":2022,"cited_by_count":18},{"year":2021,"cited_by_count":14},{"year":2020,"cited_by_count":4}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
