{"id":"https://openalex.org/W3003720578","doi":"https://doi.org/10.1109/tip.2019.2956143","title":"Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition","display_name":"Region Attention Networks for Pose and Occlusion Robust Facial Expression Recognition","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3003720578","doi":"https://doi.org/10.1109/tip.2019.2956143","mag":"3003720578","pmid":"https://pubmed.ncbi.nlm.nih.gov/32011249"},"language":"en","primary_location":{"id":"doi:10.1109/tip.2019.2956143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2956143","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"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/A5039086633","display_name":"Kai Wang","orcid":"https://orcid.org/0000-0002-1154-5175"},"institutions":[{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]},{"id":"https://openalex.org/I4210145761","display_name":"Shenzhen Institutes of Advanced Technology","ror":"https://ror.org/04gh4er46","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210145761"]},{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Kai Wang","raw_affiliation_strings":["SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I4210145761"]},{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5033413473","display_name":"Xiaojiang Peng","orcid":"https://orcid.org/0000-0002-5783-321X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaojiang Peng","raw_affiliation_strings":["SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005666034","display_name":"Jianfei Yang","orcid":"https://orcid.org/0000-0002-8075-0439"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jianfei Yang","raw_affiliation_strings":["School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Electrical and Electronic Engineering, Nanyang Technological University, Singapore","institution_ids":["https://openalex.org/I172675005"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073252742","display_name":"Debin Meng","orcid":null},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Debin Meng","raw_affiliation_strings":["SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100748135","display_name":"Yu Qiao","orcid":"https://orcid.org/0000-0002-1889-2567"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210104064","display_name":"Shenzhen Academy of Robotics","ror":"https://ror.org/01h027j09","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210104064"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu Qiao","raw_affiliation_strings":["SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Chinese Academy of Sciences, Shenzhen, China"],"affiliations":[{"raw_affiliation_string":"SIAT Branch, Shenzhen Institute of Artificial Intelligence and Robotics for Society, Shenzhen, China","institution_ids":["https://openalex.org/I4210104064"]},{"raw_affiliation_string":"Shenzhen Key Laboratory of Computer Vision and Pattern Recognition, Chinese Academy of Sciences, Shenzhen, China","institution_ids":["https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":["https://openalex.org/A5039086633"],"corresponding_institution_ids":["https://openalex.org/I4210104064","https://openalex.org/I4210145761","https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":93.4147,"has_fulltext":false,"cited_by_count":877,"citation_normalized_percentile":{"value":0.999862,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":"29","issue":null,"first_page":"4057","last_page":"4069"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10667","display_name":"Emotion and Mood Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T11448","display_name":"Face recognition and analysis","score":0.9980999827384949,"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/T10057","display_name":"Face and Expression Recognition","score":0.9955000281333923,"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/occlusion","display_name":"Occlusion","score":0.6903517842292786},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.662137508392334},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6429355144500732},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6229919195175171},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.479608416557312},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.47791749238967896},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4625937342643738},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.41680383682250977},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.36737489700317383},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.32457274198532104}],"concepts":[{"id":"https://openalex.org/C2776268601","wikidata":"https://www.wikidata.org/wiki/Q968808","display_name":"Occlusion","level":2,"score":0.6903517842292786},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.662137508392334},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6429355144500732},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6229919195175171},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.479608416557312},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.47791749238967896},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4625937342643738},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.41680383682250977},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.36737489700317383},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.32457274198532104},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C71924100","wikidata":"https://www.wikidata.org/wiki/Q11190","display_name":"Medicine","level":0,"score":0.0},{"id":"https://openalex.org/C164705383","wikidata":"https://www.wikidata.org/wiki/Q10379","display_name":"Cardiology","level":1,"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/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/tip.2019.2956143","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tip.2019.2956143","pdf_url":null,"source":{"id":"https://openalex.org/S4210173141","display_name":"IEEE Transactions on Image Processing","issn_l":"1057-7149","issn":["1057-7149","1941-0042"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Image Processing","raw_type":"journal-article"},{"id":"pmid:32011249","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32011249","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on image processing : a publication of the IEEE Signal Processing Society","raw_type":null}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G4397514795","display_name":null,"funder_award_id":"U1813218","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"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"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321133","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":96,"referenced_works":["https://openalex.org/W9976222","https://openalex.org/W1509966554","https://openalex.org/W1546411676","https://openalex.org/W1686810756","https://openalex.org/W1902237438","https://openalex.org/W1967022116","https://openalex.org/W1968015059","https://openalex.org/W1970942140","https://openalex.org/W1981265375","https://openalex.org/W1981918162","https://openalex.org/W1990586396","https://openalex.org/W1998808035","https://openalex.org/W2014185685","https://openalex.org/W2021312903","https://openalex.org/W2038317184","https://openalex.org/W2040482041","https://openalex.org/W2041616772","https://openalex.org/W2081835714","https://openalex.org/W2083021723","https://openalex.org/W2083816032","https://openalex.org/W2087681821","https://openalex.org/W2095809036","https://openalex.org/W2097117768","https://openalex.org/W2099474347","https://openalex.org/W2125127226","https://openalex.org/W2128992588","https://openalex.org/W2133564696","https://openalex.org/W2138206939","https://openalex.org/W2143238378","https://openalex.org/W2145310492","https://openalex.org/W2147527908","https://openalex.org/W2148834668","https://openalex.org/W2161969291","https://openalex.org/W2165731615","https://openalex.org/W2194775991","https://openalex.org/W2217426128","https://openalex.org/W2243226955","https://openalex.org/W2246249023","https://openalex.org/W2251198138","https://openalex.org/W2267186426","https://openalex.org/W2325939864","https://openalex.org/W2341528187","https://openalex.org/W2436394355","https://openalex.org/W2481681431","https://openalex.org/W2490049321","https://openalex.org/W2501305903","https://openalex.org/W2513140567","https://openalex.org/W2520774990","https://openalex.org/W2724983119","https://openalex.org/W2730601341","https://openalex.org/W2738672149","https://openalex.org/W2744909235","https://openalex.org/W2745497104","https://openalex.org/W2752782242","https://openalex.org/W2767359575","https://openalex.org/W2769576731","https://openalex.org/W2787524669","https://openalex.org/W2799041689","https://openalex.org/W2886300652","https://openalex.org/W2888683367","https://openalex.org/W2889978276","https://openalex.org/W2896277673","https://openalex.org/W2904483377","https://openalex.org/W2951527505","https://openalex.org/W2962835968","https://openalex.org/W2962899219","https://openalex.org/W2963112684","https://openalex.org/W2963403868","https://openalex.org/W2963420686","https://openalex.org/W2963559058","https://openalex.org/W2963712289","https://openalex.org/W2963839617","https://openalex.org/W2964105864","https://openalex.org/W2964308564","https://openalex.org/W2970710980","https://openalex.org/W3101998545","https://openalex.org/W3122081138","https://openalex.org/W3208669052","https://openalex.org/W4385245566","https://openalex.org/W4403242122","https://openalex.org/W6630649318","https://openalex.org/W6632670727","https://openalex.org/W6637373629","https://openalex.org/W6670991099","https://openalex.org/W6674300758","https://openalex.org/W6678332305","https://openalex.org/W6679434410","https://openalex.org/W6682004470","https://openalex.org/W6682137061","https://openalex.org/W6697727667","https://openalex.org/W6700903540","https://openalex.org/W6725923168","https://openalex.org/W6739901393","https://openalex.org/W6746054350","https://openalex.org/W6750843368","https://openalex.org/W6802388133"],"related_works":["https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W3089923070","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2231516625","https://openalex.org/W2116055069","https://openalex.org/W2901126000","https://openalex.org/W4323520705"],"abstract_inverted_index":{"Occlusion":[0],"and":[1,33,53,72,83,108,115,169,179,186,194,206,219,222],"pose":[2,52,82,109],"variations,":[3],"which":[4],"can":[5],"change":[6],"facial":[7,104,140,146],"appearance":[8],"significantly,":[9],"are":[10,142],"two":[11],"major":[12],"obstacles":[13],"for":[14,86,106,160],"automatic":[15,21],"Facial":[16],"Expression":[17],"Recognition":[18],"(FER).":[19],"Though":[20],"FER":[22,37,56,68,79,203],"has":[23],"made":[24],"substantial":[25],"progresses":[26],"in":[27,44,58],"the":[28,50,59,65,87,101,137,161,200,223],"past":[29],"few":[30],"decades,":[31],"occlusion-robust":[32],"pose-invariant":[34],"issues":[35],"of":[36,67,103,119,202],"have":[38],"received":[39],"relatively":[40],"less":[41],"attention,":[42],"especially":[43],"real-world":[45,51,70],"scenarios.":[46],"This":[47],"paper":[48],"addresses":[49],"occlusion":[54,84,107,205],"robust":[55],"problem":[57],"following":[60],"aspects.":[61],"First,":[62],"to":[63,98,155],"stimulate":[64],"research":[66],"under":[69],"occlusions":[71],"variant":[73,110,207],"poses,":[74],"we":[75,90,149],"annotate":[76],"several":[77],"in-the-wild":[78],"datasets":[80,178],"with":[81,204],"attributes":[85],"community.":[88],"Second,":[89],"propose":[91,150],"a":[92,124,130,151],"novel":[93],"Region":[94],"Attention":[95],"Network":[96],"(RAN),":[97],"adaptively":[99],"capture":[100],"importance":[102],"regions":[105],"FER.":[111],"The":[112],"RAN":[113,168,193],"aggregates":[114],"embeds":[116],"varied":[117],"number":[118],"region":[120,152,170,195],"features":[121],"produced":[122],"by":[123,136,145],"backbone":[125],"convolutional":[126],"neural":[127],"network":[128],"into":[129],"compact":[131],"fixed-length":[132],"representation.":[133],"Last,":[134],"inspired":[135],"fact":[138],"that":[139,191],"expressions":[141],"mainly":[143],"defined":[144],"action":[147],"units,":[148],"biased":[153,171,196],"loss":[154,172,197],"encourage":[156],"high":[157],"attention":[158],"weights":[159],"most":[162],"important":[163],"regions.":[164],"We":[165],"validate":[166],"our":[167,175,192],"on":[173,215],"both":[174],"built":[176],"test":[177,225],"four":[180],"popular":[181],"datasets:":[182],"FERPlus,":[183,216],"AffectNet,":[184,217],"RAF-DB,":[185,218],"SFEW.":[187,220],"Extensive":[188],"experiments":[189],"show":[190],"largely":[198],"improve":[199],"performance":[201],"pose.":[208],"Our":[209],"method":[210],"also":[211],"achieves":[212],"state-of-the-art":[213],"results":[214],"Code":[221],"collected":[224],"data":[226],"will":[227],"be":[228],"publicly":[229],"available.":[230]},"counts_by_year":[{"year":2026,"cited_by_count":26},{"year":2025,"cited_by_count":154},{"year":2024,"cited_by_count":173},{"year":2023,"cited_by_count":212},{"year":2022,"cited_by_count":150},{"year":2021,"cited_by_count":129},{"year":2020,"cited_by_count":31},{"year":2019,"cited_by_count":2}],"updated_date":"2026-04-11T08:14:18.477133","created_date":"2025-10-10T00:00:00"}
