{"id":"https://openalex.org/W4412346942","doi":"https://doi.org/10.1109/kse63888.2024.11063542","title":"Correlation-Driven 3D Facial Expression Blending with Stacked Emotion Prediction","display_name":"Correlation-Driven 3D Facial Expression Blending with Stacked Emotion Prediction","publication_year":2024,"publication_date":"2024-11-05","ids":{"openalex":"https://openalex.org/W4412346942","doi":"https://doi.org/10.1109/kse63888.2024.11063542"},"language":"en","primary_location":{"id":"doi:10.1109/kse63888.2024.11063542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse63888.2024.11063542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Knowledge and System Engineering (KSE)","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/A5109613309","display_name":"Thi Chau","orcid":null},"institutions":[{"id":"https://openalex.org/I67868205","display_name":"VNU University of Science","ror":"https://ror.org/05w54hk79","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841","https://openalex.org/I67868205"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Thi Chau Ma","raw_affiliation_strings":["VNU University of Engineering and Technology,Ha Noi,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VNU University of Engineering and Technology,Ha Noi,Vietnam","institution_ids":["https://openalex.org/I67868205"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5105223735","display_name":"Anh Duc Dam","orcid":"https://orcid.org/0009-0006-7212-5488"},"institutions":[{"id":"https://openalex.org/I67868205","display_name":"VNU University of Science","ror":"https://ror.org/05w54hk79","country_code":"VN","type":"education","lineage":["https://openalex.org/I177233841","https://openalex.org/I67868205"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Anh Duc Dam","raw_affiliation_strings":["VNU University of Engineering and Technology,Ha Noi,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"VNU University of Engineering and Technology,Ha Noi,Vietnam","institution_ids":["https://openalex.org/I67868205"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5043333768","display_name":"Dang-Ha Nguyen","orcid":"https://orcid.org/0009-0004-3219-7925"},"institutions":[{"id":"https://openalex.org/I4210136301","display_name":"Institute for Nuclear Science and Technology","ror":"https://ror.org/0363pts49","country_code":"VN","type":"government","lineage":["https://openalex.org/I4210136301"]},{"id":"https://openalex.org/I4210148301","display_name":"Institute of Mathematics","ror":"https://ror.org/04jr71r83","country_code":"VN","type":"facility","lineage":["https://openalex.org/I4210148301","https://openalex.org/I70349855"]},{"id":"https://openalex.org/I70349855","display_name":"Vietnam Academy of Science and Technology","ror":"https://ror.org/02wsd5p50","country_code":"VN","type":"government","lineage":["https://openalex.org/I70349855"]},{"id":"https://openalex.org/I94518387","display_name":"Hanoi University of Science and Technology","ror":"https://ror.org/04nyv3z04","country_code":"VN","type":"education","lineage":["https://openalex.org/I94518387"]}],"countries":["VN"],"is_corresponding":false,"raw_author_name":"Dang-Ha Nguyen","raw_affiliation_strings":["Vietnam - Korea Institute of Science and Technology,Ha Noi,Vietnam"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vietnam - Korea Institute of Science and Technology,Ha Noi,Vietnam","institution_ids":["https://openalex.org/I94518387","https://openalex.org/I70349855","https://openalex.org/I4210136301","https://openalex.org/I4210148301"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.28527234,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"01","last_page":"06"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9839000105857849,"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":0.9839000105857849,"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":0.9018999934196472,"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/correlation","display_name":"Correlation","score":0.6937457323074341},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5577933192253113},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.5514557957649231},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.5386772751808167},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.413703590631485},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3448736071586609},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19047200679779053},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.09905180335044861}],"concepts":[{"id":"https://openalex.org/C117220453","wikidata":"https://www.wikidata.org/wiki/Q5172842","display_name":"Correlation","level":2,"score":0.6937457323074341},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5577933192253113},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.5514557957649231},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.5386772751808167},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.413703590631485},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3448736071586609},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19047200679779053},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.09905180335044861},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/kse63888.2024.11063542","is_oa":false,"landing_page_url":"https://doi.org/10.1109/kse63888.2024.11063542","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2024 16th International Conference on Knowledge and System Engineering (KSE)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":17,"referenced_works":["https://openalex.org/W1976219906","https://openalex.org/W2744909235","https://openalex.org/W2798506093","https://openalex.org/W2799352732","https://openalex.org/W3028808916","https://openalex.org/W3049747364","https://openalex.org/W3157999215","https://openalex.org/W3163942116","https://openalex.org/W3180794345","https://openalex.org/W4205816942","https://openalex.org/W4241005218","https://openalex.org/W4312590328","https://openalex.org/W4394597809","https://openalex.org/W4401009874","https://openalex.org/W6601131277","https://openalex.org/W6743304502","https://openalex.org/W6840908212"],"related_works":["https://openalex.org/W2392243736","https://openalex.org/W86652014","https://openalex.org/W2328518092","https://openalex.org/W3101249758","https://openalex.org/W2382079200","https://openalex.org/W3129895999","https://openalex.org/W2374091470","https://openalex.org/W2033914206","https://openalex.org/W2642127892","https://openalex.org/W2042327336"],"abstract_inverted_index":{"3D":[0,48,112],"facial":[1,28,113,136],"reconstruction":[2],"from":[3,13,76],"monocular":[4],"images":[5],"is":[6,122,156],"a":[7,38,43,70,77,85],"challenging":[8],"task,":[9],"with":[10,50,96],"applications":[11],"ranging":[12],"virtual":[14],"avatars":[15],"to":[16,73,172],"emotion":[17,153,169],"analysis.":[18],"While":[19],"recent":[20],"methods":[21],"have":[22],"shown":[23],"impressive":[24],"results":[25],"in":[26,106,125,131],"reconstructing":[27],"geometry,":[29],"accurately":[30],"capturing":[31,126],"and":[32,80,109],"manipulating":[33],"subtle":[34,127],"emotional":[35,53,90,128],"expressions":[36,54,139],"remains":[37],"challenge.":[39],"This":[40],"paper":[41],"presents":[42],"novel":[44,86],"pipeline":[45,60],"for":[46,88,158],"generating":[47,107],"faces":[49],"new,":[51],"blended":[52],"by":[55],"combining":[56,89],"existing":[57],"expressions.":[58],"Our":[59,120],"consists":[61],"of":[62,103,134,151,161],"two":[63],"main":[64],"phases:":[65],"(1)":[66],"Emotion":[67],"Prediction,":[68],"using":[69],"stacked":[71],"model":[72],"classify":[74],"emotions":[75],"single":[78],"image,":[79],"(2)":[81],"Correlation-Driven":[82],"Expression":[83],"Blending,":[84],"method":[87,121],"parameters":[91],"based":[92],"on":[93],"their":[94],"correlations":[95],"specific":[97],"emotions.":[98],"We":[99],"demonstrate":[100],"the":[101,132,149,152,159,162,167],"effectiveness":[102],"our":[104],"approach":[105],"realistic":[108],"emotionally":[110],"accurate":[111],"expressions,":[114],"outperforming":[115],"traditional":[116],"linear":[117],"interpolation":[118],"techniques.":[119],"particularly":[123],"effective":[124],"nuances,":[129],"especially":[130],"context":[133],"Asian":[135],"features,":[137],"where":[138],"are":[140],"often":[141],"conveyed":[142],"more":[143],"subtly":[144],"through":[145],"eye":[146],"movements.":[147],"However,":[148],"accuracy":[150],"prediction":[154],"phase":[155],"crucial":[157],"success":[160],"blending":[163],"phase,":[164],"as":[165],"mislabeling":[166],"initial":[168],"can":[170],"lead":[171],"inaccurate":[173],"or":[174],"unexpected":[175],"results.":[176]},"counts_by_year":[],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
