{"id":"https://openalex.org/W2977425968","doi":"https://doi.org/10.1109/ijcnn.2019.8852349","title":"A Unified Multi-output Semi-supervised Network for 3D Face Reconstruction","display_name":"A Unified Multi-output Semi-supervised Network for 3D Face Reconstruction","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2977425968","doi":"https://doi.org/10.1109/ijcnn.2019.8852349","mag":"2977425968"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8852349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5103095739","display_name":"Pengrui Wang","orcid":"https://orcid.org/0009-0007-9325-9693"},"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":true,"raw_author_name":"Pengrui Wang","raw_affiliation_strings":["University of Chinese Academy of Sciences, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102633812","display_name":"Yi Tian","orcid":"https://orcid.org/0009-0007-2429-740X"},"institutions":[{"id":"https://openalex.org/I173759888","display_name":"Hunan Normal University","ror":"https://ror.org/053w1zy07","country_code":"CN","type":"education","lineage":["https://openalex.org/I173759888"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yi Tian","raw_affiliation_strings":["Hunan Normal University, China"],"affiliations":[{"raw_affiliation_string":"Hunan Normal University, China","institution_ids":["https://openalex.org/I173759888"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5030607500","display_name":"Wujun Che","orcid":"https://orcid.org/0000-0001-8230-0696"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wujun Che","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5108642431","display_name":"Bo Xu","orcid":"https://orcid.org/0000-0002-1111-1529"},"institutions":[{"id":"https://openalex.org/I4210094879","display_name":"Shandong Institute of Automation","ror":"https://ror.org/00qdtba35","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210094879","https://openalex.org/I4210142748"]},{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"funder","lineage":["https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Bo Xu","raw_affiliation_strings":["Institute of Automation, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Automation, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210094879","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5103095739"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.44376647,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":93},"biblio":{"volume":"2","issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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":1.0,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9879999756813049,"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/face","display_name":"Face (sociological concept)","score":0.7541337013244629},{"id":"https://openalex.org/keywords/adjacency-list","display_name":"Adjacency list","score":0.7411629557609558},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6670055389404297},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6182815432548523},{"id":"https://openalex.org/keywords/parametrization","display_name":"Parametrization (atmospheric modeling)","score":0.5877016186714172},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5875181555747986},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.575350821018219},{"id":"https://openalex.org/keywords/texture-mapping","display_name":"Texture mapping","score":0.4830246865749359},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4617130756378174},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.39461758732795715},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.39167359471321106},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.32091689109802246},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20121198892593384},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.08635649085044861}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7541337013244629},{"id":"https://openalex.org/C110484373","wikidata":"https://www.wikidata.org/wiki/Q264398","display_name":"Adjacency list","level":2,"score":0.7411629557609558},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6670055389404297},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6182815432548523},{"id":"https://openalex.org/C202887219","wikidata":"https://www.wikidata.org/wiki/Q3895221","display_name":"Parametrization (atmospheric modeling)","level":3,"score":0.5877016186714172},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5875181555747986},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.575350821018219},{"id":"https://openalex.org/C200585589","wikidata":"https://www.wikidata.org/wiki/Q752176","display_name":"Texture mapping","level":2,"score":0.4830246865749359},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4617130756378174},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.39461758732795715},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.39167359471321106},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.32091689109802246},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20121198892593384},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.08635649085044861},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C74902906","wikidata":"https://www.wikidata.org/wiki/Q1190858","display_name":"Radiative transfer","level":2,"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/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8852349","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8852349","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6600000262260437,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":42,"referenced_works":["https://openalex.org/W125358319","https://openalex.org/W1575433626","https://openalex.org/W1576579612","https://openalex.org/W1935685005","https://openalex.org/W1964981411","https://openalex.org/W2013871799","https://openalex.org/W2017107803","https://openalex.org/W2059404013","https://openalex.org/W2062712751","https://openalex.org/W2113085766","https://openalex.org/W2146566773","https://openalex.org/W2237250383","https://openalex.org/W2301937176","https://openalex.org/W2398381847","https://openalex.org/W2467255717","https://openalex.org/W2486034530","https://openalex.org/W2519131448","https://openalex.org/W2555510177","https://openalex.org/W2593956217","https://openalex.org/W2599226450","https://openalex.org/W2604672468","https://openalex.org/W2767225062","https://openalex.org/W2771328060","https://openalex.org/W2783101574","https://openalex.org/W2795709097","https://openalex.org/W2796822548","https://openalex.org/W2806379360","https://openalex.org/W2810993953","https://openalex.org/W2889050557","https://openalex.org/W2890264026","https://openalex.org/W2912990735","https://openalex.org/W2962780596","https://openalex.org/W2962807783","https://openalex.org/W2963342110","https://openalex.org/W2963409406","https://openalex.org/W2964014798","https://openalex.org/W6640455264","https://openalex.org/W6654799313","https://openalex.org/W6735920323","https://openalex.org/W6746270531","https://openalex.org/W6754208138","https://openalex.org/W6754947180"],"related_works":["https://openalex.org/W2153421756","https://openalex.org/W2054489697","https://openalex.org/W2077818434","https://openalex.org/W2361081803","https://openalex.org/W2036241269","https://openalex.org/W2109057766","https://openalex.org/W4250375811","https://openalex.org/W2078644396","https://openalex.org/W1600753972","https://openalex.org/W2060771519"],"abstract_inverted_index":{"In":[0],"this":[1],"paper,":[2],"we":[3,59,77,100],"propose":[4,101],"a":[5,17,102,126],"method":[6,56],"to":[7,67,90,106,112,124],"reconstruct":[8],"fine-grained":[9],"3D":[10],"faces":[11,110],"from":[12,86,96,134,155],"single":[13],"images":[14],"base":[15],"on":[16],"nearly":[18],"unified":[19],"multi-output":[20],"regression":[21],"network.":[22],"The":[23],"network":[24,121],"estimates":[25],"the":[26,54,61,69,87,114,135,140,146],"facial":[27,149],"shape,":[28],"normal":[29,81],"and":[30,44,111,129,151],"appearance":[31,128],"jointly":[32],"in":[33],"2D":[34],"UV":[35,62,137],"map":[36,63],"which":[37],"preserves":[38],"spatial":[39],"adjacency":[40],"relations":[41],"among":[42],"vertexes":[43],"provides":[45],"semantic":[46],"meaning":[47],"of":[48,53,148],"each":[49],"vertex.":[50],"Three":[51],"contributions":[52],"proposed":[55,136],"are:":[57],"1)":[58],"generate":[60],"by":[64,73],"as-rigid-as-possible":[65],"parametrization":[66],"address":[68],"overlapping":[70],"problem":[71],"caused":[72],"cylindrical":[74],"unwarp;":[75],"2)":[76],"directly":[78],"estimate":[79],"face":[80,97],"rather":[82],"than":[83],"compute":[84],"it":[85,92],"estimated":[88,115,156],"shape":[89,133],"let":[91],"catch":[93],"geometric":[94,153],"details":[95,154],"texture;":[98],"3)":[99],"post":[103,141],"process":[104,142],"strategy":[105],"generating":[107],"more":[108,131],"realistic":[109],"employing":[113],"normal.":[116],"Experiments":[117],"show":[118],"that":[119],"our":[120],"is":[122],"able":[123],"learn":[125],"uniform":[127],"predict":[130],"accurate":[132],"map.":[138],"Additionally,":[139],"procedure":[143],"can":[144],"improve":[145],"quality":[147],"shapes":[150],"add":[152],"normals.":[157]},"counts_by_year":[{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}