{"id":"https://openalex.org/W2523976699","doi":"https://doi.org/10.1145/2964284.2967236","title":"Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks","display_name":"Adaptive Visual Feedback Generation for Facial Expression Improvement with Multi-task Deep Neural Networks","publication_year":2016,"publication_date":"2016-09-29","ids":{"openalex":"https://openalex.org/W2523976699","doi":"https://doi.org/10.1145/2964284.2967236","mag":"2523976699"},"language":"en","primary_location":{"id":"doi:10.1145/2964284.2967236","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964284.2967236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th 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/A5020693766","display_name":"Takuhiro Kaneko","orcid":"https://orcid.org/0009-0000-8016-5144"},"institutions":[{"id":"https://openalex.org/I4210105847","display_name":"NTT Basic Research Laboratories","ror":"https://ror.org/01m2pas06","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210105847"]}],"countries":["JP"],"is_corresponding":true,"raw_author_name":"Takuhiro Kaneko","raw_affiliation_strings":["NTT Corporation, Atsugi, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Atsugi, Japan","institution_ids":["https://openalex.org/I4210105847"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5112132273","display_name":"Kaoru Hiramatsu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105847","display_name":"NTT Basic Research Laboratories","ror":"https://ror.org/01m2pas06","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210105847"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kaoru Hiramatsu","raw_affiliation_strings":["NTT Corporation, Atsugi, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Atsugi, Japan","institution_ids":["https://openalex.org/I4210105847"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5061465935","display_name":"Kunio Kashino","orcid":null},"institutions":[{"id":"https://openalex.org/I4210105847","display_name":"NTT Basic Research Laboratories","ror":"https://ror.org/01m2pas06","country_code":"JP","type":"facility","lineage":["https://openalex.org/I4210105847"]}],"countries":["JP"],"is_corresponding":false,"raw_author_name":"Kunio Kashino","raw_affiliation_strings":["NTT Corporation, Atsugi, Japan"],"affiliations":[{"raw_affiliation_string":"NTT Corporation, Atsugi, Japan","institution_ids":["https://openalex.org/I4210105847"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5020693766"],"corresponding_institution_ids":["https://openalex.org/I4210105847"],"apc_list":null,"apc_paid":null,"fwci":0.835,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.80757548,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"327","last_page":"331"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9968000054359436,"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/T11605","display_name":"Visual Attention and Saliency Detection","score":0.9968000054359436,"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":0.9950000047683716,"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":0.9941999912261963,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8185533285140991},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7504050731658936},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6321690678596497},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.615459680557251},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5569279193878174},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5491899251937866},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.5333898663520813},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.49282482266426086},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.4693532884120941},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.45406055450439453},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.4400786757469177}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8185533285140991},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7504050731658936},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6321690678596497},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.615459680557251},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5569279193878174},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5491899251937866},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.5333898663520813},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.49282482266426086},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.4693532884120941},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.45406055450439453},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.4400786757469177},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/2964284.2967236","is_oa":false,"landing_page_url":"https://doi.org/10.1145/2964284.2967236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 24th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.4000000059604645,"display_name":"Quality Education"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":44,"referenced_works":["https://openalex.org/W2966661","https://openalex.org/W1502609557","https://openalex.org/W1691728462","https://openalex.org/W1795776638","https://openalex.org/W1796263212","https://openalex.org/W1836465849","https://openalex.org/W1893585201","https://openalex.org/W1896424170","https://openalex.org/W1915485278","https://openalex.org/W1955369839","https://openalex.org/W1976948919","https://openalex.org/W1991808891","https://openalex.org/W2010590614","https://openalex.org/W2012885984","https://openalex.org/W2016599119","https://openalex.org/W2034105255","https://openalex.org/W2047508432","https://openalex.org/W2058961190","https://openalex.org/W2078224158","https://openalex.org/W2106369625","https://openalex.org/W2108501770","https://openalex.org/W2112188855","https://openalex.org/W2113120414","https://openalex.org/W2116530245","https://openalex.org/W2117130368","https://openalex.org/W2145310492","https://openalex.org/W2163605009","https://openalex.org/W2171740948","https://openalex.org/W2173520492","https://openalex.org/W2253728219","https://openalex.org/W2260521078","https://openalex.org/W2618530766","https://openalex.org/W2744909235","https://openalex.org/W2949117887","https://openalex.org/W2949416428","https://openalex.org/W2951234442","https://openalex.org/W2951478888","https://openalex.org/W2963684088","https://openalex.org/W2964121744","https://openalex.org/W2995034616","https://openalex.org/W3097096317","https://openalex.org/W4285719527","https://openalex.org/W6631190155","https://openalex.org/W6637412569"],"related_works":["https://openalex.org/W4375867731","https://openalex.org/W2611989081","https://openalex.org/W2731899572","https://openalex.org/W4230611425","https://openalex.org/W4294635752","https://openalex.org/W4304166257","https://openalex.org/W2392243736","https://openalex.org/W86652014","https://openalex.org/W4383066092","https://openalex.org/W2642127892"],"abstract_inverted_index":{"While":[0],"many":[1,37],"studies":[2,19],"in":[3,42,154,192],"computer":[4],"vision":[5],"and":[6,45,70,145,171,201,205],"pattern":[7],"recognition":[8,170],"have":[9,20],"been":[10,52],"actively":[11],"conducted":[12],"to":[13,54,81,89,106,115,119],"recognize":[14],"people's":[15],"current":[16],"states,":[17,33,72],"few":[18],"tackled":[21],"the":[22,109,120,124,134,186],"problem":[23],"of":[24,79,100,123,140],"generating":[25],"feedback":[26,63,80,101,183],"on":[27],"how":[28],"people":[29],"can":[30,60,95],"improve":[31],"their":[32],"although":[34],"there":[35],"are":[36],"real-world":[38,65,199],"applications":[39],"such":[40,56,157],"as":[41],"sports,":[43],"education,":[44],"health":[46],"care.":[47],"In":[48],"particular,":[49],"it":[50,74,103,112],"has":[51],"challenging":[53],"develop":[55],"a":[57,86,97,163,177,193],"system":[58],"that":[59,148],"adaptively":[61],"generate":[62],"for":[64,181],"situations,":[66],"namely":[67],"various":[68,77],"input":[69,141],"target":[71],"since":[73],"requires":[75],"formulating":[76],"rules":[78,135],"do":[82,116,149],"so.":[83],"We":[84,188],"propose":[85],"learning-based":[87],"method":[88,131,180,191],"solve":[90],"this":[91,128],"problem.":[92],"If":[93],"we":[94,160,175],"obtain":[96],"large":[98],"amount":[99],"annotations,":[102,144],"is":[104,113],"possible":[105],"explicitly":[107],"learn":[108,162],"rules,":[110],"but":[111],"difficult":[114],"so":[117],"due":[118],"subjective":[121],"nature":[122],"task.":[125],"To":[126],"mitigate":[127],"problem,":[129],"our":[130,190],"implicitly":[132],"learns":[133],"from":[136,185],"training":[137,158],"data":[138,200],"consisting":[139],"images,":[142],"key-point":[143,172],"state":[146,169],"annotations":[147],"not":[150],"require":[151],"professional":[152],"knowledge":[153],"feedback.":[155],"Given":[156],"data,":[159],"first":[161],"multi-task":[164],"deep":[165],"neural":[166],"network":[167],"with":[168],"localization.":[173],"Then,":[174],"apply":[176],"novel":[178],"propagation":[179],"extracting":[182],"information":[184],"network.":[187],"evaluated":[189],"facial":[194],"expression":[195],"improvement":[196],"task":[197],"using":[198],"clarified":[202],"its":[203],"characteristics":[204],"effectiveness.":[206]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2},{"year":2017,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
