{"id":"https://openalex.org/W2894871570","doi":"https://doi.org/10.1145/3242969.3264978","title":"Video-based Emotion Recognition Using Deeply-Supervised Neural Networks","display_name":"Video-based Emotion Recognition Using Deeply-Supervised Neural Networks","publication_year":2018,"publication_date":"2018-10-02","ids":{"openalex":"https://openalex.org/W2894871570","doi":"https://doi.org/10.1145/3242969.3264978","mag":"2894871570"},"language":"en","primary_location":{"id":"doi:10.1145/3242969.3264978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3242969.3264978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","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/A5072087245","display_name":"Yingruo Fan","orcid":"https://orcid.org/0000-0001-8977-4958"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Yingruo Fan","raw_affiliation_strings":["The University of Hong Kong, Hongkong, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hongkong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048232137","display_name":"Jacqueline C. K. Lam","orcid":"https://orcid.org/0000-0002-8805-3574"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Jacqueline C. K. Lam","raw_affiliation_strings":["The University of Hong Kong, Hongkong, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hongkong, China","institution_ids":["https://openalex.org/I889458895"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5056877599","display_name":"Victor O. K. Li","orcid":"https://orcid.org/0000-0002-1380-9445"},"institutions":[{"id":"https://openalex.org/I889458895","display_name":"University of Hong Kong","ror":"https://ror.org/02zhqgq86","country_code":"HK","type":"education","lineage":["https://openalex.org/I889458895"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Victor O. K. Li","raw_affiliation_strings":["The University of Hong Kong, Hongkong, China"],"affiliations":[{"raw_affiliation_string":"The University of Hong Kong, Hongkong, China","institution_ids":["https://openalex.org/I889458895"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5072087245"],"corresponding_institution_ids":["https://openalex.org/I889458895"],"apc_list":null,"apc_paid":null,"fwci":10.1776,"has_fulltext":false,"cited_by_count":79,"citation_normalized_percentile":{"value":0.98417135,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"584","last_page":"588"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9986000061035156,"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":0.9983999729156494,"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/computer-science","display_name":"Computer science","score":0.8029724359512329},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7994461059570312},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7175632119178772},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6524401903152466},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5778782963752747},{"id":"https://openalex.org/keywords/field","display_name":"Field (mathematics)","score":0.5636690258979797},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5539900660514832},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.5094292759895325},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.47926899790763855},{"id":"https://openalex.org/keywords/class","display_name":"Class (philosophy)","score":0.45901480317115784},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.44547417759895325},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.35433968901634216}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8029724359512329},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7994461059570312},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7175632119178772},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6524401903152466},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5778782963752747},{"id":"https://openalex.org/C9652623","wikidata":"https://www.wikidata.org/wiki/Q190109","display_name":"Field (mathematics)","level":2,"score":0.5636690258979797},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5539900660514832},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.5094292759895325},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.47926899790763855},{"id":"https://openalex.org/C2777212361","wikidata":"https://www.wikidata.org/wiki/Q5127848","display_name":"Class (philosophy)","level":2,"score":0.45901480317115784},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.44547417759895325},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.35433968901634216},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/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/C202444582","wikidata":"https://www.wikidata.org/wiki/Q837863","display_name":"Pure mathematics","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3242969.3264978","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3242969.3264978","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 20th ACM International Conference on Multimodal Interaction","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":26,"referenced_works":["https://openalex.org/W114517082","https://openalex.org/W1595126664","https://openalex.org/W1903029394","https://openalex.org/W1981918162","https://openalex.org/W2088575594","https://openalex.org/W2115252128","https://openalex.org/W2141890865","https://openalex.org/W2145310492","https://openalex.org/W2155893237","https://openalex.org/W2194775991","https://openalex.org/W2325939864","https://openalex.org/W2546875627","https://openalex.org/W2548529926","https://openalex.org/W2583574148","https://openalex.org/W2613718673","https://openalex.org/W2673818281","https://openalex.org/W2738672149","https://openalex.org/W2767618761","https://openalex.org/W2767915528","https://openalex.org/W2768634781","https://openalex.org/W2769114491","https://openalex.org/W2888683367","https://openalex.org/W2952910595","https://openalex.org/W2963299740","https://openalex.org/W2963446712","https://openalex.org/W4236965008"],"related_works":["https://openalex.org/W2081900870","https://openalex.org/W4293226380","https://openalex.org/W4375867731","https://openalex.org/W2037549926","https://openalex.org/W4226493464","https://openalex.org/W4312417841","https://openalex.org/W3133861977","https://openalex.org/W2951211570","https://openalex.org/W3103566983","https://openalex.org/W2384651879"],"abstract_inverted_index":{"Emotion":[0],"recognition":[1],"(ER)":[2],"based":[3],"on":[4],"natural":[5],"facial":[6],"images/videos":[7],"has":[8],"been":[9],"studied":[10],"for":[11],"some":[12],"years":[13],"and":[14,46,74,103],"considered":[15],"a":[16,29,64,84,92],"comparatively":[17],"hot":[18],"topic":[19],"in":[20,34,57],"the":[21,35,38,72,115],"field":[22],"of":[23,88,94,125],"affective":[24],"computing.":[25],"However,":[26],"it":[27],"remains":[28],"challenge":[30,118],"to":[31,82],"perform":[32],"ER":[33],"wild,":[36],"given":[37],"noises":[39],"generated":[40],"from":[41,78,106],"head":[42],"pose,":[43],"face":[44],"deformation,":[45],"illumination":[47],"variation.":[48],"To":[49],"address":[50],"this":[51],"challenge,":[52],"motivated":[53],"by":[54],"recent":[55],"progress":[56],"Convolutional":[58],"Neural":[59],"Network":[60],"(CNN),":[61],"we":[62],"develop":[63],"novel":[65],"deeply":[66],"supervised":[67],"CNN":[68],"(DSN)":[69],"architecture,":[70],"taking":[71],"multi-level":[73],"multi-scale":[75],"features":[76],"extracted":[77],"different":[79],"convolutional":[80],"layers":[81],"provide":[83],"more":[85],"advanced":[86],"representation":[87],"ER.":[89],"By":[90],"embedding":[91],"series":[93],"side-output":[95],"layers,":[96],"our":[97,110,120],"DSN":[98],"model":[99,121],"provides":[100],"class-wise":[101],"supervision":[102],"integrates":[104],"predictions":[105],"multiple":[107],"layers.":[108],"Finally,":[109],"team":[111],"ranked":[112],"3rd":[113],"at":[114],"EmotiW":[116],"2018":[117],"with":[119],"achieving":[122],"an":[123],"accuracy":[124],"61.1%.":[126]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":5},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":12},{"year":2021,"cited_by_count":17},{"year":2020,"cited_by_count":12},{"year":2019,"cited_by_count":14},{"year":2018,"cited_by_count":4}],"updated_date":"2026-03-18T14:38:29.013473","created_date":"2025-10-10T00:00:00"}
