{"id":"https://openalex.org/W3120399736","doi":"https://doi.org/10.1109/ijcb48548.2020.9304923","title":"Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition","display_name":"Occlusion-Adaptive Deep Network for Robust Facial Expression Recognition","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3120399736","doi":"https://doi.org/10.1109/ijcb48548.2020.9304923","mag":"3120399736"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb48548.2020.9304923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb48548.2020.9304923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Joint Conference on Biometrics (IJCB)","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/A5033709048","display_name":"Hui Ding","orcid":"https://orcid.org/0000-0001-7397-674X"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Hui Ding","raw_affiliation_strings":["University of Maryland, College Park"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101505982","display_name":"Peng Zhou","orcid":"https://orcid.org/0000-0002-0674-9296"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Peng Zhou","raw_affiliation_strings":["University of Maryland, College Park"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102762707","display_name":"Rama Chellappa","orcid":"https://orcid.org/0000-0002-7638-1650"},"institutions":[{"id":"https://openalex.org/I66946132","display_name":"University of Maryland, College Park","ror":"https://ror.org/047s2c258","country_code":"US","type":"education","lineage":["https://openalex.org/I66946132"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Rama Chellappa","raw_affiliation_strings":["University of Maryland, College Park"],"affiliations":[{"raw_affiliation_string":"University of Maryland, College Park","institution_ids":["https://openalex.org/I66946132"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5033709048"],"corresponding_institution_ids":["https://openalex.org/I66946132"],"apc_list":null,"apc_paid":null,"fwci":5.79,"has_fulltext":false,"cited_by_count":93,"citation_normalized_percentile":{"value":0.97094705,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"9"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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"}},"topics":[{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","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/T10667","display_name":"Emotion and Mood Recognition","score":0.9994000196456909,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminative-model","display_name":"Discriminative model","score":0.7817704081535339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7746511697769165},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7634994387626648},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6998398900032043},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.6165294051170349},{"id":"https://openalex.org/keywords/landmark","display_name":"Landmark","score":0.5743353366851807},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.544836163520813},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.533371090888977},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5320672988891602},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4572242796421051},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.43689629435539246},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.4342947006225586},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.43241772055625916},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4264214336872101},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.425638347864151},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.3850085735321045}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.7817704081535339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7746511697769165},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7634994387626648},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6998398900032043},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.6165294051170349},{"id":"https://openalex.org/C2780297707","wikidata":"https://www.wikidata.org/wiki/Q4895393","display_name":"Landmark","level":2,"score":0.5743353366851807},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.544836163520813},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.533371090888977},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5320672988891602},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4572242796421051},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.43689629435539246},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.4342947006225586},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.43241772055625916},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4264214336872101},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.425638347864151},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.3850085735321045},{"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/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"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/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb48548.2020.9304923","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb48548.2020.9304923","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7599999904632568,"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities"}],"awards":[{"id":"https://openalex.org/G1216103460","display_name":null,"funder_award_id":"2019\u2013022600002","funder_id":"https://openalex.org/F4320333051","funder_display_name":"Intelligence Advanced Research Projects Activity"}],"funders":[{"id":"https://openalex.org/F4320333051","display_name":"Intelligence Advanced Research Projects Activity","ror":"https://ror.org/01v3fsc55"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":51,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W1974210421","https://openalex.org/W2000820603","https://openalex.org/W2035372623","https://openalex.org/W2041616772","https://openalex.org/W2058961190","https://openalex.org/W2088575594","https://openalex.org/W2099471712","https://openalex.org/W2103943262","https://openalex.org/W2108598243","https://openalex.org/W2134860945","https://openalex.org/W2174772062","https://openalex.org/W2194775991","https://openalex.org/W2341528187","https://openalex.org/W2481681431","https://openalex.org/W2520774990","https://openalex.org/W2738672149","https://openalex.org/W2745497104","https://openalex.org/W2798553619","https://openalex.org/W2798583514","https://openalex.org/W2889978276","https://openalex.org/W2896277673","https://openalex.org/W2902598059","https://openalex.org/W2902916789","https://openalex.org/W2904483377","https://openalex.org/W2921821444","https://openalex.org/W2949662773","https://openalex.org/W2962835968","https://openalex.org/W2962925415","https://openalex.org/W2963363102","https://openalex.org/W2963562727","https://openalex.org/W2963712289","https://openalex.org/W2963839617","https://openalex.org/W2964210793","https://openalex.org/W2970971581","https://openalex.org/W2982070372","https://openalex.org/W3003720578","https://openalex.org/W3022267199","https://openalex.org/W3043547428","https://openalex.org/W3101998545","https://openalex.org/W3104792420","https://openalex.org/W3122081138","https://openalex.org/W4295312788","https://openalex.org/W4320013936","https://openalex.org/W6637373629","https://openalex.org/W6650590054","https://openalex.org/W6672481139","https://openalex.org/W6726946684","https://openalex.org/W6761030737","https://openalex.org/W6766978945","https://openalex.org/W6776873985"],"related_works":["https://openalex.org/W2355913164","https://openalex.org/W4205986151","https://openalex.org/W2168968280","https://openalex.org/W2116055069","https://openalex.org/W2952602176","https://openalex.org/W4323520705","https://openalex.org/W2356663679","https://openalex.org/W2169777806","https://openalex.org/W3027190010","https://openalex.org/W3045605430"],"abstract_inverted_index":{"Recognizing":[0],"the":[1,29,32,40,107,120,132,140,147,151],"expressions":[2],"of":[3,150],"partially":[4,143],"occluded":[5,61,85,171],"faces":[6],"is":[7,36,74,84,142],"a":[8,50,80,101],"challenging":[9,164],"computer":[10],"vision":[11],"problem.":[12],"Previous":[13],"expression":[14,121,133,172],"recognition":[15,134],"methods,":[16],"either":[17],"overlooked":[18],"this":[19],"issue":[20],"or":[21],"resolved":[22],"it":[23],"using":[24],"unrealistic":[25],"assumptions.":[26],"Motivated":[27],"by":[28],"fact":[30],"that":[31,64],"human":[33],"visual":[34],"system":[35,135],"adept":[37],"at":[38],"ignoring":[39],"occlusions":[41],"and":[42,56,86,114,128,168],"focus":[43],"on":[44,146,162],"non-occluded":[45,93],"facial":[46,82,102,112],"areas,":[47],"we":[48,99],"propose":[49,100],"landmark-guided":[51],"attention":[52,72],"branch":[53,104],"to":[54,77,90,92,105,118,136],"find":[55],"discard":[57],"corrupted":[58],"features":[59],"from":[60],"regions":[62],"so":[63],"they":[65],"are":[66],"not":[67],"used":[68],"for":[69],"recognition.":[70],"An":[71],"map":[73],"first":[75],"generated":[76],"indicate":[78],"if":[79],"specific":[81],"part":[83],"guide":[87],"our":[88,154],"model":[89],"attend":[91],"regions.":[94],"To":[95],"further":[96],"improve":[97],"robustness,":[98],"region":[103],"partition":[106],"feature":[108],"maps":[109],"into":[110],"non-overlapping":[111],"blocks":[113],"task":[115],"each":[116],"block":[117],"predict":[119],"independently.":[122],"This":[123],"results":[124],"in":[125],"more":[126],"diverse":[127],"discriminative":[129],"features,":[130],"enabling":[131],"re-cover":[137],"even":[138],"though":[139],"face":[141],"occluded.":[144],"Depending":[145],"synergistic":[148],"effects":[149],"two":[152,163],"branches,":[153],"occlusion-adaptive":[155],"deep":[156],"network":[157],"significantly":[158],"outperforms":[159],"state-of-the-art":[160],"methods":[161],"in-the-wild":[165],"benchmark":[166],"datasets":[167],"three":[169],"real-world":[170],"datasets.":[173]},"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":15},{"year":2024,"cited_by_count":16},{"year":2023,"cited_by_count":31},{"year":2022,"cited_by_count":17},{"year":2021,"cited_by_count":10},{"year":2020,"cited_by_count":1}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2025-10-10T00:00:00"}
