{"id":"https://openalex.org/W2817444562","doi":"https://doi.org/10.1145/3192714.3192824","title":"Multi-view Mouth Renderization for Assisting Lip-reading","display_name":"Multi-view Mouth Renderization for Assisting Lip-reading","publication_year":2018,"publication_date":"2018-04-23","ids":{"openalex":"https://openalex.org/W2817444562","doi":"https://doi.org/10.1145/3192714.3192824","mag":"2817444562"},"language":"en","primary_location":{"id":"doi:10.1145/3192714.3192824","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3192714.3192824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Web for All Conference","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064860556","display_name":"Andr\u00e9a Britto Mattos","orcid":"https://orcid.org/0009-0009-8696-1446"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Andrea Britto Mattos","raw_affiliation_strings":["IBM Research, S\u00e3o Paulo - Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, S\u00e3o Paulo - Brazil","institution_ids":["https://openalex.org/I4210113516"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5051251449","display_name":"D\u00e1rio Augusto Borges Oliveira","orcid":"https://orcid.org/0000-0002-0674-5332"},"institutions":[{"id":"https://openalex.org/I4210113516","display_name":"IBM Research - Brazil","ror":"https://ror.org/01fxqdx25","country_code":"BR","type":"facility","lineage":["https://openalex.org/I1341412227","https://openalex.org/I4210113516","https://openalex.org/I4210114115"]}],"countries":["BR"],"is_corresponding":false,"raw_author_name":"Dario Augusto Borges Oliveira","raw_affiliation_strings":["IBM Research, S\u00e3o Paulo - Brazil"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"IBM Research, S\u00e3o Paulo - Brazil","institution_ids":["https://openalex.org/I4210113516"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I4210113516"],"apc_list":null,"apc_paid":null,"fwci":0.902,"has_fulltext":false,"cited_by_count":10,"citation_normalized_percentile":{"value":0.73823265,"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":"1","last_page":"10"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T10860","display_name":"Speech and Audio Processing","score":0.9997000098228455,"subfield":{"id":"https://openalex.org/subfields/1711","display_name":"Signal Processing"},"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/T11448","display_name":"Face recognition and analysis","score":0.996399998664856,"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/T12301","display_name":"Facial Nerve Paralysis Treatment and Research","score":0.9846000075340271,"subfield":{"id":"https://openalex.org/subfields/2728","display_name":"Neurology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7352221012115479},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.7050158977508545},{"id":"https://openalex.org/keywords/gesture","display_name":"Gesture","score":0.6619164347648621},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5898979306221008},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.5424852967262268},{"id":"https://openalex.org/keywords/reading","display_name":"Reading (process)","score":0.5220691561698914},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.4939196705818176},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.47959744930267334},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.46815183758735657},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.43247556686401367},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.41658106446266174}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7352221012115479},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.7050158977508545},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.6619164347648621},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5898979306221008},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.5424852967262268},{"id":"https://openalex.org/C554936623","wikidata":"https://www.wikidata.org/wiki/Q199657","display_name":"Reading (process)","level":2,"score":0.5220691561698914},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.4939196705818176},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.47959744930267334},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.46815183758735657},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.43247556686401367},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.41658106446266174},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","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/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"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":[{"id":"doi:10.1145/3192714.3192824","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3192714.3192824","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 15th International Web for All Conference","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320307856","display_name":"World Health Organization","ror":"https://ror.org/01f80g185"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W581810680","https://openalex.org/W1901129140","https://openalex.org/W1986238498","https://openalex.org/W1986849821","https://openalex.org/W1994215802","https://openalex.org/W2011081701","https://openalex.org/W2012210378","https://openalex.org/W2017099258","https://openalex.org/W2024675961","https://openalex.org/W2041317995","https://openalex.org/W2058985298","https://openalex.org/W2059891914","https://openalex.org/W2060510034","https://openalex.org/W2070091591","https://openalex.org/W2078711706","https://openalex.org/W2090843832","https://openalex.org/W2096263221","https://openalex.org/W2109140708","https://openalex.org/W2115252128","https://openalex.org/W2133665775","https://openalex.org/W2243738093","https://openalex.org/W2330451766","https://openalex.org/W2533816498","https://openalex.org/W2550980560","https://openalex.org/W2551572271","https://openalex.org/W2552465644","https://openalex.org/W2559655401","https://openalex.org/W2563907287","https://openalex.org/W2610716261","https://openalex.org/W2678278914","https://openalex.org/W2745233275","https://openalex.org/W2748421552","https://openalex.org/W2765317728","https://openalex.org/W2765781028","https://openalex.org/W2765816858","https://openalex.org/W2765828580","https://openalex.org/W2893436174","https://openalex.org/W2952670620","https://openalex.org/W2952746495","https://openalex.org/W2963744813","https://openalex.org/W3098664369"],"related_works":["https://openalex.org/W2502115930","https://openalex.org/W4246396837","https://openalex.org/W2482350142","https://openalex.org/W3176240006","https://openalex.org/W3126451824","https://openalex.org/W2066003895","https://openalex.org/W2537963312","https://openalex.org/W1561927205","https://openalex.org/W2537762514","https://openalex.org/W3191453585"],"abstract_inverted_index":{"Previous":[0],"work":[1,30],"demonstrated":[2],"that":[3,36,185,193],"people":[4,196],"who":[5],"rely":[6],"on":[7,80],"lip-reading":[8],"often":[9],"prefer":[10],"a":[11,19,42,92,97,117,152],"frontal":[12,66,147],"view":[13,21],"of":[14,41,61,83,169],"their":[15],"interlocutor,":[16],"but":[17,56],"sometimes":[18],"profile":[20,68],"may":[22,194],"display":[23],"certain":[24],"lip":[25],"gestures":[26],"more":[27],"noticeably.":[28],"This":[29,70],"refers":[31],"to":[32,106,128,142],"an":[33,38,46,130,136],"assistive":[34],"tool":[35],"receives":[37],"unconstrained":[39],"video":[40],"speaker,":[43],"captured":[44],"at":[45,96,116,135],"arbitrary":[47,137],"view,":[48],"and":[49,67,100,112,139,148,167,181],"not":[50],"only":[51],"locates":[52],"the":[53,62,65,86,101,107,121,124,143,186],"mouth":[54,93,109,132],"region":[55],"also":[57],"displays":[58],"augmented":[59],"versions":[60],"lips":[63],"in":[64],"views.":[69],"is":[71,156,178],"made":[72],"using":[73],"deep":[74],"Generative":[75],"Adversarial":[76],"Networks":[77],"(GANs)":[78],"trained":[79],"several":[81],"pairs":[82],"images.":[84],"In":[85,120],"training":[87],"set,":[88],"each":[89],"pair":[90],"contains":[91],"picture":[94,103],"taken":[95,115,134],"random":[98],"angle":[99,138],"corresponding":[102],"(i.e.,":[104],"relative":[105],"same":[108],"shape,":[110],"person,":[111],"lighting":[113],"condition)":[114],"fixed":[118,144],"view.":[119],"test":[122],"phase,":[123],"networks":[125],"are":[126],"able":[127],"receive":[129],"unseen":[131],"image":[133],"map":[140],"it":[141],"views":[145],"--":[146],"profile.":[149],"Because":[150],"building":[151],"large-scale":[153],"pairwise":[154],"dataset":[155],"time":[157],"consuming,":[158],"we":[159],"use":[160],"realistic":[161],"synthetic":[162],"3D":[163],"models":[164],"for":[165,174],"training,":[166],"videos":[168],"real":[170],"subjects":[171],"as":[172],"input":[173],"testing.":[175],"Our":[176],"approach":[177],"speaker-independent,":[179],"language-independent,":[180],"our":[182],"results":[183,192],"demonstrate":[184],"GAN":[187],"can":[188],"produce":[189],"visually":[190],"compelling":[191],"assist":[195],"with":[197],"hearing":[198],"impairment.":[199]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":3},{"year":2022,"cited_by_count":1},{"year":2021,"cited_by_count":2},{"year":2019,"cited_by_count":1},{"year":2018,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}