{"id":"https://openalex.org/W2982070372","doi":"https://doi.org/10.1145/3343031.3351049","title":"Occluded Facial Expression Recognition Enhanced through Privileged Information","display_name":"Occluded Facial Expression Recognition Enhanced through Privileged Information","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2982070372","doi":"https://doi.org/10.1145/3343031.3351049","mag":"2982070372"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3351049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351049","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/A5078843154","display_name":"Bowen Pan","orcid":"https://orcid.org/0000-0002-8711-7433"},"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":"Bowen Pan","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/A5101591578","display_name":"Bin Xia","orcid":"https://orcid.org/0000-0001-6529-5434"},"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":"Bin Xia","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":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":6.8929,"has_fulltext":false,"cited_by_count":70,"citation_normalized_percentile":{"value":0.97126453,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"566","last_page":"573"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9997000098228455,"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":0.9997000098228455,"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":0.9995999932289124,"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":0.991100013256073,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.75229811668396},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7444081902503967},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.6158809661865234},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.555118203163147},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5370546579360962},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.49670201539993286},{"id":"https://openalex.org/keywords/feature-vector","display_name":"Feature vector","score":0.4685790240764618},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.449337899684906},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4326600134372711},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.41676467657089233}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.75229811668396},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7444081902503967},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.6158809661865234},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.555118203163147},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5370546579360962},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.49670201539993286},{"id":"https://openalex.org/C83665646","wikidata":"https://www.wikidata.org/wiki/Q42139305","display_name":"Feature vector","level":2,"score":0.4685790240764618},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.449337899684906},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4326600134372711},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.41676467657089233},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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},{"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:10.1145/3343031.3351049","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351049","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":[{"score":0.7200000286102295,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":15,"referenced_works":["https://openalex.org/W1967022116","https://openalex.org/W2035372623","https://openalex.org/W2083021723","https://openalex.org/W2103943262","https://openalex.org/W2145234365","https://openalex.org/W2161634108","https://openalex.org/W2194775991","https://openalex.org/W2738672149","https://openalex.org/W2798553619","https://openalex.org/W2798583514","https://openalex.org/W2896277673","https://openalex.org/W2902598059","https://openalex.org/W2904483377","https://openalex.org/W2962716958","https://openalex.org/W4236965008"],"related_works":["https://openalex.org/W3147584709","https://openalex.org/W2123478443","https://openalex.org/W2977677679","https://openalex.org/W1992327129","https://openalex.org/W2115635058","https://openalex.org/W2381986121","https://openalex.org/W2081765545","https://openalex.org/W2088830394","https://openalex.org/W2370918718","https://openalex.org/W2132337154"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3],"propose":[4],"a":[5,131],"novel":[6],"approach":[7],"of":[8,16,68,95,101,113,148,181],"occluded":[9,49,70,96,118,143,153,175],"facial":[10,18,22,52,119,128,140,150,176],"expression":[11],"recognition":[12],"under":[13],"the":[14,56,66,69,88,93,102,111,114,138,146,152,167,179,182],"help":[15],"non-occluded":[17,21,51,57,103,127,139,149],"images.":[19,129],"The":[20],"images":[23,53,120,141,177],"are":[24,45,85],"used":[25,63],"as":[26],"privileged":[27],"information,":[28],"which":[29],"is":[30,59,62,107,134,155],"only":[31],"required":[32,37],"during":[33,38,163],"training,":[34],"but":[35],"not":[36],"testing.":[39],"Specifically,":[40],"two":[41],"deep":[42],"neural":[43],"networks":[44],"first":[46],"trained":[47],"from":[48,72,117,126,142],"and":[50,61,76,81,161,173],"respectively.":[54],"Then":[55],"network":[58,71,97,133,154],"fixed":[60],"to":[64,87,91,99,109,121,124,136,157,185],"guide":[65],"fine-tuning":[67],"both":[73,171],"label":[74,89],"space":[75,90],"feature":[77],"space.":[78],"Similarity":[79],"constraint":[80],"loss":[82],"inequality":[83],"regularization":[84],"imposed":[86],"make":[92],"output":[94],"converge":[98],"that":[100,125],"network.":[104],"Adversarial":[105],"leaning":[106],"adopted":[108],"force":[110],"distribution":[112],"learned":[115],"features":[116,160],"be":[122],"close":[123],"Furthermore,":[130],"decoder":[132],"employed":[135],"reconstruct":[137],"features.":[144],"Under":[145],"guidance":[147],"images,":[151],"expected":[156],"learn":[158],"better":[159],"classifier":[162],"training.":[164],"Experiments":[165],"on":[166],"benchmark":[168],"databases":[169],"with":[170],"synthesized":[172],"realistic":[174],"demonstrate":[178],"superiority":[180],"proposed":[183],"method":[184],"state-of-the-art.":[186]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":14},{"year":2023,"cited_by_count":16},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":11},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":1}],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}
