{"id":"https://openalex.org/W4321020689","doi":"https://doi.org/10.1109/fg57933.2023.10042602","title":"Adversarial 3D Face Disentanglement of Identity and Expression","display_name":"Adversarial 3D Face Disentanglement of Identity and Expression","publication_year":2023,"publication_date":"2023-01-05","ids":{"openalex":"https://openalex.org/W4321020689","doi":"https://doi.org/10.1109/fg57933.2023.10042602"},"language":"en","primary_location":{"id":"doi:10.1109/fg57933.2023.10042602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg57933.2023.10042602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","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/A5047650327","display_name":"Yajie Gu","orcid":null},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Yajie Gu","raw_affiliation_strings":["University of York,Department of Computer Science,York,UK","Department of Computer Science, University of York, York, UK"],"affiliations":[{"raw_affiliation_string":"University of York,Department of Computer Science,York,UK","institution_ids":["https://openalex.org/I52099693"]},{"raw_affiliation_string":"Department of Computer Science, University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5058636317","display_name":"Nick Pears","orcid":null},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Nick Pears","raw_affiliation_strings":["University of York,Department of Computer Science,York,UK","Department of Computer Science, University of York, York, UK"],"affiliations":[{"raw_affiliation_string":"University of York,Department of Computer Science,York,UK","institution_ids":["https://openalex.org/I52099693"]},{"raw_affiliation_string":"Department of Computer Science, University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058002649","display_name":"Hao Sun","orcid":"https://orcid.org/0000-0001-8094-1991"},"institutions":[{"id":"https://openalex.org/I52099693","display_name":"University of York","ror":"https://ror.org/04m01e293","country_code":"GB","type":"education","lineage":["https://openalex.org/I52099693"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Hao Sun","raw_affiliation_strings":["University of York,Department of Computer Science,York,UK","Department of Computer Science, University of York, York, UK"],"affiliations":[{"raw_affiliation_string":"University of York,Department of Computer Science,York,UK","institution_ids":["https://openalex.org/I52099693"]},{"raw_affiliation_string":"Department of Computer Science, University of York, York, UK","institution_ids":["https://openalex.org/I52099693"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5047650327"],"corresponding_institution_ids":["https://openalex.org/I52099693"],"apc_list":null,"apc_paid":null,"fwci":0.5994,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":{"value":0.67354131,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":95,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"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":0.9977999925613403,"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/T10828","display_name":"Biometric Identification and Security","score":0.9958000183105469,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/discriminator","display_name":"Discriminator","score":0.8979098200798035},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7162944078445435},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.6900708079338074},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6182036995887756},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.617775022983551},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.5924162864685059},{"id":"https://openalex.org/keywords/binary-number","display_name":"Binary number","score":0.5227810740470886},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5211079716682434},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.4740345776081085},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.43377625942230225},{"id":"https://openalex.org/keywords/binary-classification","display_name":"Binary classification","score":0.4158353805541992},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38996368646621704},{"id":"https://openalex.org/keywords/programming-language","display_name":"Programming language","score":0.1461729109287262},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13977232575416565},{"id":"https://openalex.org/keywords/arithmetic","display_name":"Arithmetic","score":0.1167900562286377},{"id":"https://openalex.org/keywords/support-vector-machine","display_name":"Support vector machine","score":0.10146644711494446},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.07717946171760559},{"id":"https://openalex.org/keywords/telecommunications","display_name":"Telecommunications","score":0.06836849451065063}],"concepts":[{"id":"https://openalex.org/C2779803651","wikidata":"https://www.wikidata.org/wiki/Q5282088","display_name":"Discriminator","level":3,"score":0.8979098200798035},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7162944078445435},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.6900708079338074},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6182036995887756},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.617775022983551},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.5924162864685059},{"id":"https://openalex.org/C48372109","wikidata":"https://www.wikidata.org/wiki/Q3913","display_name":"Binary number","level":2,"score":0.5227810740470886},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5211079716682434},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.4740345776081085},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.43377625942230225},{"id":"https://openalex.org/C66905080","wikidata":"https://www.wikidata.org/wiki/Q17005494","display_name":"Binary classification","level":3,"score":0.4158353805541992},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38996368646621704},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.1461729109287262},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13977232575416565},{"id":"https://openalex.org/C94375191","wikidata":"https://www.wikidata.org/wiki/Q11205","display_name":"Arithmetic","level":1,"score":0.1167900562286377},{"id":"https://openalex.org/C12267149","wikidata":"https://www.wikidata.org/wiki/Q282453","display_name":"Support vector machine","level":2,"score":0.10146644711494446},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.07717946171760559},{"id":"https://openalex.org/C76155785","wikidata":"https://www.wikidata.org/wiki/Q418","display_name":"Telecommunications","level":1,"score":0.06836849451065063},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C94915269","wikidata":"https://www.wikidata.org/wiki/Q1834857","display_name":"Detector","level":2,"score":0.0},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/fg57933.2023.10042602","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg57933.2023.10042602","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2023 IEEE 17th International Conference on Automatic Face and Gesture Recognition (FG)","raw_type":"proceedings-article"},{"id":"pmh:oai:eprints.whiterose.ac.uk:193526","is_oa":false,"landing_page_url":"https://orcid.org/0000-0001-9513-5634>","pdf_url":null,"source":{"id":"https://openalex.org/S4306400854","display_name":"White Rose Research Online (University of Leeds, The University of Sheffield, University of York)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I2800616092","host_organization_name":"White Rose University Consortium","host_organization_lineage":["https://openalex.org/I2800616092"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"acceptedVersion","is_accepted":true,"is_published":false,"raw_source_name":null,"raw_type":"NonPeerReviewed"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7599999904632568}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":41,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1959608418","https://openalex.org/W1981660604","https://openalex.org/W1982755836","https://openalex.org/W2004068758","https://openalex.org/W2038891881","https://openalex.org/W2051410832","https://openalex.org/W2075688085","https://openalex.org/W2086331119","https://openalex.org/W2137306662","https://openalex.org/W2237250383","https://openalex.org/W2301937176","https://openalex.org/W2486034530","https://openalex.org/W2560609797","https://openalex.org/W2604524889","https://openalex.org/W2729636247","https://openalex.org/W2745497104","https://openalex.org/W2769666294","https://openalex.org/W2785519580","https://openalex.org/W2883221003","https://openalex.org/W2917887692","https://openalex.org/W2920808855","https://openalex.org/W2936759181","https://openalex.org/W2963466847","https://openalex.org/W2963850211","https://openalex.org/W2963915677","https://openalex.org/W2989465255","https://openalex.org/W3016520013","https://openalex.org/W3020836388","https://openalex.org/W3034798648","https://openalex.org/W3122081138","https://openalex.org/W3128223926","https://openalex.org/W3153276104","https://openalex.org/W3185372235","https://openalex.org/W4295312788","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6748223763","https://openalex.org/W6763422710","https://openalex.org/W6766978945","https://openalex.org/W6794074581"],"related_works":["https://openalex.org/W2060029454","https://openalex.org/W2136485282","https://openalex.org/W2347601237","https://openalex.org/W3158004940","https://openalex.org/W2368987896","https://openalex.org/W2897995864","https://openalex.org/W2004976700","https://openalex.org/W2379065761","https://openalex.org/W2353697322","https://openalex.org/W4312603404"],"abstract_inverted_index":{"We":[0],"propose":[1],"a":[2,23,44,91,117],"new":[3],"framework":[4],"to":[5,38,64,75,89],"decompose":[6],"3D":[7,15],"facial":[8],"shape":[9],"into":[10],"identity":[11,36,62,68],"and":[12,58,74,95,104],"expression.":[13,79],"Existing":[14],"face":[16,28,63,73],"disentanglement":[17],"methods":[18],"assume":[19],"the":[20,55,60,66,71,77,112],"presence":[21],"of":[22,86,114,122],"corresponding":[24],"neutral":[25,125],"(i.e.":[26],"identity)":[27],"for":[29],"each":[30],"subject.":[31],"Our":[32],"method":[33],"designs":[34],"an":[35],"discriminator":[37],"obviate":[39],"this":[40,81],"requirement.":[41],"This":[42],"is":[43,129],"binary":[45],"classifier":[46],"that":[47],"determines":[48],"if":[49],"two":[50],"input":[51,72],"faces":[52],"are":[53,99],"from":[54],"same":[56,67],"identity,":[57],"encourages":[59],"synthesised":[61],"have":[65],"features":[69],"as":[70],"approach":[76],"\u2018apathy\u2019":[78],"To":[80],"end,":[82],"we":[83],"take":[84],"advantage":[85],"adversarial":[87],"learning":[88],"train":[90],"PointNet-based":[92],"variational":[93],"auto-encoder":[94],"discriminator.":[96],"Comprehensive":[97],"experiments":[98],"employed":[100],"on":[101],"CoMA,":[102],"BU3DFE,":[103],"FaceScape":[105],"datasets.":[106],"Results":[107],"demonstrate":[108],"state-of-the-art":[109],"performance":[110],"with":[111],"option":[113],"operating":[115],"in":[116],"more":[118],"versatile":[119],"application":[120],"setting":[121],"no":[123],"known":[124],"ground":[126],"truths.":[127],"Code":[128],"available":[130],"at":[131],"https://github.com/rmraaron/FaceExpDisentanglement.":[132]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3}],"updated_date":"2026-04-05T17:49:38.594831","created_date":"2025-10-10T00:00:00"}