{"id":"https://openalex.org/W4304080737","doi":"https://doi.org/10.1145/3503161.3548285","title":"Uncertainty-Aware Semi-Supervised Learning of 3D Face Rigging from Single Image","display_name":"Uncertainty-Aware Semi-Supervised Learning of 3D Face Rigging from Single Image","publication_year":2022,"publication_date":"2022-10-10","ids":{"openalex":"https://openalex.org/W4304080737","doi":"https://doi.org/10.1145/3503161.3548285"},"language":"en","primary_location":{"id":"doi:10.1145/3503161.3548285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548285","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","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/A5100702071","display_name":"Yong Zhao","orcid":"https://orcid.org/0000-0003-2644-952X"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yong Zhao","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100456775","display_name":"Haifeng Chen","orcid":"https://orcid.org/0000-0001-7164-5840"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Haifeng Chen","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5073820422","display_name":"Hichem Sahli","orcid":"https://orcid.org/0000-0002-1774-2970"},"institutions":[{"id":"https://openalex.org/I13469542","display_name":"Vrije Universiteit Brussel","ror":"https://ror.org/006e5kg04","country_code":"BE","type":"education","lineage":["https://openalex.org/I13469542"]}],"countries":["BE"],"is_corresponding":false,"raw_author_name":"Hichem Sahli","raw_affiliation_strings":["Vrije Universiteit Brussel, Brussels, Belgium"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Vrije Universiteit Brussel, Brussels, Belgium","institution_ids":["https://openalex.org/I13469542"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072833759","display_name":"Ke L\u00fc","orcid":"https://orcid.org/0000-0003-0176-3088"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ke Lu","raw_affiliation_strings":["University of Chinese Academy of Science, Beijing, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Science, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5102021514","display_name":"Dongmei Jiang","orcid":"https://orcid.org/0000-0002-6238-8499"},"institutions":[{"id":"https://openalex.org/I17145004","display_name":"Northwestern Polytechnical University","ror":"https://ror.org/01y0j0j86","country_code":"CN","type":"education","lineage":["https://openalex.org/I17145004"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongmei Jiang","raw_affiliation_strings":["Northwestern Polytechnical University, Xi'an, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Northwestern Polytechnical University, Xi'an, China","institution_ids":["https://openalex.org/I17145004"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"170","last_page":"179"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998999834060669,"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":0.9998999834060669,"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9990000128746033,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9854000210762024,"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":0.8023526668548584},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7643274068832397},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6341267824172974},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.6068429946899414},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.5186247229576111},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4942903518676758},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.4447588324546814},{"id":"https://openalex.org/keywords/similarity","display_name":"Similarity (geometry)","score":0.416057825088501},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40771520137786865},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.3610432744026184},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.13268226385116577}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8023526668548584},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7643274068832397},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6341267824172974},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.6068429946899414},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.5186247229576111},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4942903518676758},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.4447588324546814},{"id":"https://openalex.org/C103278499","wikidata":"https://www.wikidata.org/wiki/Q254465","display_name":"Similarity (geometry)","level":3,"score":0.416057825088501},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40771520137786865},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.3610432744026184},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.13268226385116577},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","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:10.1145/3503161.3548285","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3503161.3548285","pdf_url":null,"source":{"id":"https://openalex.org/S4363608757","display_name":"Proceedings of the 30th ACM International Conference on Multimedia","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":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":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 30th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/11","score":0.5299999713897705,"display_name":"Sustainable cities and communities"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":56,"referenced_works":["https://openalex.org/W1834627138","https://openalex.org/W2004068758","https://openalex.org/W2017107803","https://openalex.org/W2045472600","https://openalex.org/W2146566773","https://openalex.org/W2237250383","https://openalex.org/W2436394355","https://openalex.org/W2475295588","https://openalex.org/W2594553093","https://openalex.org/W2724314443","https://openalex.org/W2754447548","https://openalex.org/W2770534877","https://openalex.org/W2776121517","https://openalex.org/W2795709097","https://openalex.org/W2798291180","https://openalex.org/W2803705807","https://openalex.org/W2807126412","https://openalex.org/W2883183894","https://openalex.org/W2883861033","https://openalex.org/W2884460600","https://openalex.org/W2902266071","https://openalex.org/W2912459656","https://openalex.org/W2962770929","https://openalex.org/W2962793481","https://openalex.org/W2963516695","https://openalex.org/W2963527086","https://openalex.org/W2963567641","https://openalex.org/W2963767194","https://openalex.org/W2963839617","https://openalex.org/W2964449965","https://openalex.org/W2981915309","https://openalex.org/W2989722689","https://openalex.org/W2990138404","https://openalex.org/W2997502326","https://openalex.org/W3008823916","https://openalex.org/W3014859719","https://openalex.org/W3034192160","https://openalex.org/W3034512702","https://openalex.org/W3035409138","https://openalex.org/W3035413889","https://openalex.org/W3035523051","https://openalex.org/W3035574324","https://openalex.org/W3043139608","https://openalex.org/W3046406296","https://openalex.org/W3087121792","https://openalex.org/W3092923609","https://openalex.org/W3101531717","https://openalex.org/W3103975510","https://openalex.org/W3109585842","https://openalex.org/W3173814045","https://openalex.org/W3185841081","https://openalex.org/W4200050534","https://openalex.org/W4229778028","https://openalex.org/W4235375376","https://openalex.org/W6751692644","https://openalex.org/W6767264202"],"related_works":["https://openalex.org/W4310844315","https://openalex.org/W2532377291","https://openalex.org/W2000013817","https://openalex.org/W4296190881","https://openalex.org/W2366362996","https://openalex.org/W2517624617","https://openalex.org/W2378422373","https://openalex.org/W2129566390","https://openalex.org/W1971666398","https://openalex.org/W2362580381"],"abstract_inverted_index":{"We":[0,58,137],"present":[1],"a":[2,64,74,106],"method":[3,68,72,188],"to":[4,142],"rig":[5],"3D":[6,21,31,39,66,81],"faces":[7],"via":[8],"Action":[9],"Units":[10],"(AUs),":[11],"viewpoint":[12,89],"and":[13,26,41,55,90,103,112,119,131,156,174,191,198],"light":[14,91],"direction,":[15],"from":[16,99],"single":[17],"input":[18,152],"image.":[19],"Existing":[20],"methods":[22,50],"for":[23,101,115,154,163],"face":[24,82,172],"synthesis":[25],"animation":[27,175],"rely":[28],"heavily":[29],"on":[30,38,176,193],"morphable":[32],"model":[33,84,143,157],"(3DMM),":[34],"which":[35],"was":[36],"built":[37],"data":[40],"cannot":[42,51],"provide":[43],"intuitive":[44],"expression":[45,98,194],"parameters,":[46],"while":[47],"AU-driven":[48,71],"2D":[49,70],"handle":[52],"head":[53],"pose":[54,199],"lighting":[56],"effect.":[57],"bridge":[59],"the":[60,79,144,158,167],"gap":[61],"by":[62],"integrating":[63],"recent":[65],"reconstruction":[67,83],"with":[69,105,134,171,182],"in":[73],"semi-supervised":[75],"fashion.":[76],"Built":[77],"upon":[78],"auto-encoding":[80],"that":[85],"decouples":[86],"depth,":[87],"albedo,":[88],"without":[92],"any":[93],"supervision,":[94],"we":[95],"further":[96],"decouple":[97],"identity":[100,196],"depth":[102],"albedo":[104],"novel":[107],"conditional":[108],"feature":[109],"translation":[110],"module":[111],"pretrained":[113],"critics":[114],"AU":[116,135,147,160,168],"intensity":[117,161,164],"estimation":[118,165],"image":[120],"classification.":[121],"Novel":[122],"objective":[123],"functions":[124],"are":[125],"designed":[126],"using":[127],"unlabeled":[128],"in-the-wild":[129],"images":[130,133,150],"in-door":[132],"labels.":[136],"also":[138],"leverage":[139],"uncertainty":[140],"losses":[141],"probably":[145],"changing":[146],"region":[148],"of":[149,166],"as":[151],"noise":[153],"synthesis,":[155],"noisy":[159],"labels":[162],"critic.":[169],"Experiments":[170],"editing":[173],"four":[177],"datasets":[178],"show":[179],"that,":[180],"compared":[181],"six":[183],"state-of-the-art":[184],"methods,":[185],"our":[186],"proposed":[187],"is":[189],"superior":[190],"effective":[192],"consistency,":[195],"similarity":[197],"similarity.":[200]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}