{"id":"https://openalex.org/W2981433975","doi":"https://doi.org/10.1145/3343031.3351032","title":"Comp-GAN","display_name":"Comp-GAN","publication_year":2019,"publication_date":"2019-10-15","ids":{"openalex":"https://openalex.org/W2981433975","doi":"https://doi.org/10.1145/3343031.3351032","mag":"2981433975"},"language":"en","primary_location":{"id":"doi:10.1145/3343031.3351032","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","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/A5100755181","display_name":"Wenxuan Wang","orcid":"https://orcid.org/0000-0001-7172-8662"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Wenxuan Wang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047414556","display_name":"Qiang Sun","orcid":"https://orcid.org/0000-0002-8990-9610"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qiang Sun","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084959430","display_name":"Yanwei Fu","orcid":"https://orcid.org/0000-0002-6595-6893"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yanwei Fu","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5021220108","display_name":"Tao Chen","orcid":"https://orcid.org/0000-0002-0779-9818"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Chen","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5028833097","display_name":"Chenjie Cao","orcid":"https://orcid.org/0000-0003-3916-2843"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chenjie Cao","raw_affiliation_strings":["Ping An OneConnect, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An OneConnect, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5069882202","display_name":"Ziqi Zheng","orcid":"https://orcid.org/0009-0006-7342-8974"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ziqi Zheng","raw_affiliation_strings":["Ping An OneConnect, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An OneConnect, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5104254024","display_name":"Guoqiang Xu","orcid":null},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guoqiang Xu","raw_affiliation_strings":["Ping An OneConnect, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An OneConnect, Shanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5019692903","display_name":"Han Qiu","orcid":"https://orcid.org/0000-0003-2678-8070"},"institutions":[{"id":"https://openalex.org/I4401726822","display_name":"Ping An (China)","ror":"https://ror.org/004yv2z91","country_code":null,"type":"company","lineage":["https://openalex.org/I4401726822"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Han Qiu","raw_affiliation_strings":["Ping An OneConnect, ShanghaiShanghai, China"],"affiliations":[{"raw_affiliation_string":"Ping An OneConnect, ShanghaiShanghai, China","institution_ids":["https://openalex.org/I4401726822"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5047962986","display_name":"Yu\u2013Gang Jiang","orcid":"https://orcid.org/0000-0002-1907-8567"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yu-Gang Jiang","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5003418019","display_name":"Xiangyang Xue","orcid":"https://orcid.org/0000-0002-4897-9209"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangyang Xue","raw_affiliation_strings":["Fudan University, Shanghai, China"],"affiliations":[{"raw_affiliation_string":"Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":10,"corresponding_author_ids":["https://openalex.org/A5100755181"],"corresponding_institution_ids":["https://openalex.org/I24943067"],"apc_list":null,"apc_paid":null,"fwci":1.0218,"has_fulltext":false,"cited_by_count":17,"citation_normalized_percentile":{"value":0.81223619,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"211","last_page":"219"},"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/T10057","display_name":"Face and Expression Recognition","score":0.9988999962806702,"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":0.9969000220298767,"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":0.7947733402252197},{"id":"https://openalex.org/keywords/facial-expression","display_name":"Facial expression","score":0.7196347713470459},{"id":"https://openalex.org/keywords/expression","display_name":"Expression (computer science)","score":0.7040578126907349},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.5921491384506226},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5453323125839233},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5379199981689453},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5306875705718994},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5059627890586853},{"id":"https://openalex.org/keywords/identity","display_name":"Identity (music)","score":0.4975133240222931},{"id":"https://openalex.org/keywords/facial-expression-recognition","display_name":"Facial expression recognition","score":0.4821490943431854},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4328480064868927},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38395956158638}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7947733402252197},{"id":"https://openalex.org/C195704467","wikidata":"https://www.wikidata.org/wiki/Q327968","display_name":"Facial expression","level":2,"score":0.7196347713470459},{"id":"https://openalex.org/C90559484","wikidata":"https://www.wikidata.org/wiki/Q778379","display_name":"Expression (computer science)","level":2,"score":0.7040578126907349},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.5921491384506226},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5453323125839233},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5379199981689453},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5306875705718994},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5059627890586853},{"id":"https://openalex.org/C2778355321","wikidata":"https://www.wikidata.org/wiki/Q17079427","display_name":"Identity (music)","level":2,"score":0.4975133240222931},{"id":"https://openalex.org/C2987714656","wikidata":"https://www.wikidata.org/wiki/Q1185804","display_name":"Facial expression recognition","level":4,"score":0.4821490943431854},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4328480064868927},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38395956158638},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C163258240","wikidata":"https://www.wikidata.org/wiki/Q25342","display_name":"Power (physics)","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},{"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/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3343031.3351032","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3343031.3351032","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 27th ACM International Conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7400000095367432,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1595126664","https://openalex.org/W1834627138","https://openalex.org/W1901129140","https://openalex.org/W2108598243","https://openalex.org/W2114315281","https://openalex.org/W2128532956","https://openalex.org/W2151103935","https://openalex.org/W2163605009","https://openalex.org/W2165698076","https://openalex.org/W2194775991","https://openalex.org/W2195207531","https://openalex.org/W2341528187","https://openalex.org/W2523976699","https://openalex.org/W2536626143","https://openalex.org/W2620200771","https://openalex.org/W2753160622","https://openalex.org/W2798553619","https://openalex.org/W2798583514","https://openalex.org/W2800923548","https://openalex.org/W2805080735","https://openalex.org/W2805613995","https://openalex.org/W2960065339","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963278610","https://openalex.org/W2963460857","https://openalex.org/W2963626105","https://openalex.org/W2963690547","https://openalex.org/W2963845150","https://openalex.org/W2964045146","https://openalex.org/W2964186374","https://openalex.org/W3101998545"],"related_works":["https://openalex.org/W2642127892","https://openalex.org/W4205986151","https://openalex.org/W2355913164","https://openalex.org/W2162992774","https://openalex.org/W1153638794","https://openalex.org/W2168968280","https://openalex.org/W2901126000","https://openalex.org/W4323520705","https://openalex.org/W2116055069","https://openalex.org/W2356663679"],"abstract_inverted_index":{"Facial":[0],"expression":[1,15,31,115,124,152,195,222],"is":[2,86,168],"important":[3],"in":[4],"understanding":[5],"our":[6],"social":[7],"interaction.":[8],"Thus":[9],"the":[10,17,22,44,57,123,131,136,140,154,158,172,177,181,189,208,217],"ability":[11],"to":[12,56,88,108,130,170,205,215],"recognize":[13],"facial":[14,30,58,98,186,194,221],"enables":[16],"novel":[18,78],"multimedia":[19],"applications.":[20],"With":[21],"advance":[23],"of":[24,46,65,68,127,160,219],"recent":[25],"deep":[26],"architectures,":[27],"research":[28],"on":[29],"recognition":[32,116,196],"has":[33,142],"achieved":[34],"great":[35],"progress.":[36],"However,":[37],"these":[38,72],"models":[39],"are":[40,213],"still":[41],"suffering":[42],"from":[43],"problems":[45],"lacking":[47],"sufficient":[48],"and":[49,60,96,100,113,125,153,175],"diverse":[50],"high":[51],"quality":[52],"training":[53],"faces,":[54],"vulnerability":[55],"variations,":[59],"recognizing":[61],"a":[62,77,111,163],"limited":[63],"number":[64],"basic":[66],"types":[67],"emotions.":[69],"To":[70],"tackle":[71],"problems,":[73],"this":[74],"paper":[75],"proposes":[76],"end-to-end":[79],"Compositional":[80],"Generative":[81],"Adversarial":[82],"Network":[83],"(Comp-GAN)":[84],"that":[85,207],"able":[87],"synthesize":[89],"new":[90],"face":[91,164],"images":[92,103,133,149,209],"with":[93,150],"specified":[94],"poses":[95],"desired":[97,151],"expressions;":[99],"such":[101,184],"synthesized":[102],"can":[104,120],"be":[105],"further":[106],"utilized":[107],"help":[109],"train":[110],"robust":[112],"generalized":[114],"model.":[117],"Essentially,":[118],"Comp-GAN":[119,212],"dynamically":[121],"change":[122],"pose":[126,159],"faces":[128],"according":[129],"input":[132,173],"while":[134],"keeping":[135],"identity":[137],"information.":[138],"Specifically,":[139],"generator":[141,178],"two":[143],"major":[144],"components:":[145],"one":[146],"for":[147,156,179],"generating":[148],"other":[155],"changing":[157],"faces.":[161],"Furthermore,":[162],"reconstruction":[165],"learning":[166],"process":[167],"applied":[169],"re-generate":[171],"image":[174],"constrains":[176],"preserving":[180],"key":[182],"information":[183],"as":[185],"identity.":[187],"For":[188],"first":[190],"time,":[191],"various":[192],"one/zero-shot":[193,220],"tasks":[197],"have":[198],"been":[199],"created.":[200],"We":[201],"conduct":[202],"extensive":[203],"experiments":[204],"show":[206],"generated":[210],"by":[211],"helpful":[214],"improve":[216],"performance":[218],"recognition.":[223]},"counts_by_year":[{"year":2026,"cited_by_count":1},{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":4},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-20T23:20:44.827607","created_date":"2019-11-01T00:00:00"}