{"id":"https://openalex.org/W2163512471","doi":"https://doi.org/10.1109/cvpr.2012.6247658","title":"A data-driven approach for facial expression synthesis in video","display_name":"A data-driven approach for facial expression synthesis in video","publication_year":2012,"publication_date":"2012-06-01","ids":{"openalex":"https://openalex.org/W2163512471","doi":"https://doi.org/10.1109/cvpr.2012.6247658","mag":"2163512471"},"language":"en","primary_location":{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247658","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false},"type":"article","type_crossref":"proceedings-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/A5100399944","display_name":"Kai Li","orcid":"https://orcid.org/0000-0002-8336-9684"},"institutions":[{"id":"https://openalex.org/I3131625388","display_name":"University Town of Shenzhen","ror":"https://ror.org/05f5j6225","country_code":"CN","type":"education","lineage":["https://openalex.org/I3131625388"]},{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Kai Li","raw_affiliation_strings":["Department of Automation, Graduate School at Shenzhen, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Graduate School at Shenzhen, Tsinghua University, China","institution_ids":["https://openalex.org/I3131625388","https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017904348","display_name":"Feng Xu","orcid":"https://orcid.org/0000-0003-2145-651X"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Feng Xu","raw_affiliation_strings":["Department of Automation, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100440604","display_name":"Jue Wang","orcid":"https://orcid.org/0000-0002-3641-3136"},"institutions":[{"id":"https://openalex.org/I1306409833","display_name":"Adobe Systems (United States)","ror":"https://ror.org/059tvcg64","country_code":"US","type":"funder","lineage":["https://openalex.org/I1306409833"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"None Jue Wang","raw_affiliation_strings":["Adobe Systems, Inc., USA"],"affiliations":[{"raw_affiliation_string":"Adobe Systems, Inc., USA","institution_ids":["https://openalex.org/I1306409833"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080722708","display_name":"Qionghai Dai","orcid":"https://orcid.org/0000-0001-7043-3061"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Qionghai Dai","raw_affiliation_strings":["Department of Automation, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5032875389","display_name":"Yebin Liu","orcid":"https://orcid.org/0000-0003-3215-0225"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"funder","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"None Yebin Liu","raw_affiliation_strings":["Department of Automation, Tsinghua University, China"],"affiliations":[{"raw_affiliation_string":"Department of Automation, Tsinghua University, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institution_assertions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":1.977,"has_fulltext":true,"fulltext_origin":"ngrams","cited_by_count":39,"citation_normalized_percentile":{"value":0.95284,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":95},"biblio":{"volume":"23","issue":null,"first_page":"57","last_page":"64"},"is_retracted":false,"is_paratext":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9997,"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":0.9997,"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/T12290","display_name":"Human Motion and Animation","score":0.998,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9961,"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/expression","display_name":"Expression (computer science)","score":0.56613564},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.5038938}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.80987716},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.7479478},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6576924},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6489203},{"id":"https://openalex.org/C138591656","wikidata":"https://www.wikidata.org/wiki/Q5157538","display_name":"Computer facial animation","level":4,"score":0.60875714},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.6059295},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.56613564},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5084983},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.5038938},{"id":"https://openalex.org/C126042441","wikidata":"https://www.wikidata.org/wiki/Q1324888","display_name":"Frame (networking)","level":2,"score":0.4952046},{"id":"https://openalex.org/C176217482","wikidata":"https://www.wikidata.org/wiki/Q860554","display_name":"Metric (unit)","level":2,"score":0.45233935},{"id":"https://openalex.org/C2777735758","wikidata":"https://www.wikidata.org/wiki/Q817765","display_name":"Path (computing)","level":2,"score":0.43338257},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.39971486},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35199556},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.25946355},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.20969164},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.0},{"id":"https://openalex.org/C21547014","wikidata":"https://www.wikidata.org/wiki/Q1423657","display_name":"Operations management","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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"is_oa":false,"landing_page_url":"https://doi.org/10.1109/cvpr.2012.6247658","pdf_url":null,"source":{"id":"https://openalex.org/S4363607795","display_name":"2009 IEEE Conference on Computer Vision and Pattern Recognition","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_indexed_in_scopus":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false}],"best_oa_location":null,"sustainable_development_goals":[],"grants":[],"datasets":[],"versions":[],"referenced_works_count":34,"referenced_works":["https://openalex.org/W1968600824","https://openalex.org/W1969306251","https://openalex.org/W1987959507","https://openalex.org/W1992187125","https://openalex.org/W1995712965","https://openalex.org/W2037130712","https://openalex.org/W2038952578","https://openalex.org/W2046316596","https://openalex.org/W2046911213","https://openalex.org/W2082229127","https://openalex.org/W2102416463","https://openalex.org/W2103943262","https://openalex.org/W2106115875","https://openalex.org/W2106715340","https://openalex.org/W2107813907","https://openalex.org/W2135666716","https://openalex.org/W2135869037","https://openalex.org/W2149321585","https://openalex.org/W2152516042","https://openalex.org/W2152826865","https://openalex.org/W2156531583","https://openalex.org/W2163352848","https://openalex.org/W2237250383","https://openalex.org/W2294015878","https://openalex.org/W2295663742","https://openalex.org/W2296179043","https://openalex.org/W2995034616","https://openalex.org/W3145128584","https://openalex.org/W4233118564","https://openalex.org/W4236925851","https://openalex.org/W4239189285","https://openalex.org/W4246219036","https://openalex.org/W4285719527","https://openalex.org/W65124300"],"related_works":["https://openalex.org/W3094080214","https://openalex.org/W2999276620","https://openalex.org/W2989004599","https://openalex.org/W2535923857","https://openalex.org/W2532377291","https://openalex.org/W2356609371","https://openalex.org/W2156310872","https://openalex.org/W2121378366","https://openalex.org/W1976926596","https://openalex.org/W1544039745"],"abstract_inverted_index":{"This":[0],"paper":[1],"presents":[2],"a":[3,7,12,17,89,102],"method":[4,119],"to":[5,59,93,120],"synthesize":[6],"realistic":[8],"facial":[9,18,27,37,142],"animation":[10,28,143],"of":[11,21,34,40,104],"target":[13,42],"person,":[14,43],"driven":[15],"by":[16,49,108],"performance":[19,38],"video":[20,48,80],"another":[22],"person.":[23],"Different":[24],"from":[25,52,101],"traditional":[26],"approaches,":[29],"our":[30,86,113,136],"system":[31,87,114,137],"takes":[32],"advantage":[33],"an":[35,68,116],"existing":[36],"database":[39,54],"the":[41,46,53,60,75,95,109,123,127,145],"and":[44,129],"generates":[45],"final":[47],"retrieving":[50],"frames":[51,106],"that":[55,135],"have":[56],"similar":[57],"expressions":[58],"input":[61,128],"ones.":[62],"To":[63,82],"achieve":[64],"this":[65],"we":[66],"develop":[67],"expression":[69,76,117,124],"similarity":[70,110],"metric":[71],"for":[72,98],"accurately":[73],"measuring":[74],"difference":[77,125],"between":[78,126],"two":[79],"frames.":[81,131],"enforce":[83],"temporal":[84],"coherence,":[85],"employs":[88],"shortest":[90],"path":[91],"algorithm":[92],"choose":[94],"optimal":[96],"image":[97],"each":[99],"frame":[100],"set":[103],"candidate":[105],"determined":[107],"metric.":[111],"Finally,":[112],"adopts":[115],"mapping":[118],"further":[121],"minimize":[122],"retrieved":[130],"Experimental":[132],"results":[133],"show":[134],"can":[138],"generate":[139],"high":[140],"quality":[141],"using":[144],"proposed":[146],"data-driven":[147],"approach.":[148]},"abstract_inverted_index_v3":null,"cited_by_api_url":"https://api.openalex.org/works?filter=cites:W2163512471","counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":2},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":2},{"year":2018,"cited_by_count":9},{"year":2017,"cited_by_count":4},{"year":2016,"cited_by_count":3},{"year":2015,"cited_by_count":4},{"year":2014,"cited_by_count":5},{"year":2013,"cited_by_count":1}],"updated_date":"2025-04-22T13:18:35.631836","created_date":"2016-06-24"}