{"id":"https://openalex.org/W2964295764","doi":"https://doi.org/10.1145/3123266.3123431","title":"Face Aging with Contextual Generative Adversarial Nets","display_name":"Face Aging with Contextual Generative Adversarial Nets","publication_year":2017,"publication_date":"2017-10-19","ids":{"openalex":"https://openalex.org/W2964295764","doi":"https://doi.org/10.1145/3123266.3123431","mag":"2964295764"},"language":"en","primary_location":{"id":"doi:10.1145/3123266.3123431","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th 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/A5100330138","display_name":"Si Liu","orcid":"https://orcid.org/0000-0002-9180-2935"},"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"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Si Liu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100649792","display_name":"Yao Sun","orcid":"https://orcid.org/0000-0002-3429-3476"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yao Sun","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5010994537","display_name":"Defa Zhu","orcid":"https://orcid.org/0000-0002-6872-8271"},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Defa Zhu","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5029434214","display_name":"Renda Bao","orcid":null},"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"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Renda Bao","raw_affiliation_strings":["Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100757829","display_name":"Wei Wang","orcid":"https://orcid.org/0000-0002-8598-0831"},"institutions":[{"id":"https://openalex.org/I193223587","display_name":"University of Trento","ror":"https://ror.org/05trd4x28","country_code":"IT","type":"education","lineage":["https://openalex.org/I193223587"]}],"countries":["IT"],"is_corresponding":false,"raw_author_name":"Wei Wang","raw_affiliation_strings":["University of Trento, Italy, Trento, Italy"],"affiliations":[{"raw_affiliation_string":"University of Trento, Italy, Trento, Italy","institution_ids":["https://openalex.org/I193223587"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5040437528","display_name":"Xiangbo Shu","orcid":"https://orcid.org/0000-0003-4902-4663"},"institutions":[{"id":"https://openalex.org/I36399199","display_name":"Nanjing University of Science and Technology","ror":"https://ror.org/00xp9wg62","country_code":"CN","type":"education","lineage":["https://openalex.org/I36399199"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiangbo Shu","raw_affiliation_strings":["Nanjing University of Science and Technology, Nanjing, China"],"affiliations":[{"raw_affiliation_string":"Nanjing University of Science and Technology, Nanjing, China","institution_ids":["https://openalex.org/I36399199"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100381753","display_name":"Shuicheng Yan","orcid":"https://orcid.org/0000-0001-8906-3777"},"institutions":[{"id":"https://openalex.org/I165932596","display_name":"National University of Singapore","ror":"https://ror.org/01tgyzw49","country_code":"SG","type":"education","lineage":["https://openalex.org/I165932596"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Shuicheng Yan","raw_affiliation_strings":["National University of Singapore, Beijing, China"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Beijing, China","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5100330138"],"corresponding_institution_ids":["https://openalex.org/I19820366"],"apc_list":null,"apc_paid":null,"fwci":5.0062,"has_fulltext":false,"cited_by_count":120,"citation_normalized_percentile":{"value":0.97236682,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"82","last_page":"90"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9998000264167786,"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":0.9998000264167786,"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":0.9984999895095825,"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":0.9914000034332275,"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/discriminative-model","display_name":"Discriminative model","score":0.9323676824569702},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.7204450964927673},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7044943571090698},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6302545070648193},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6086735725402832},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5573484301567078},{"id":"https://openalex.org/keywords/conditional-probability-distribution","display_name":"Conditional probability distribution","score":0.5222811698913574},{"id":"https://openalex.org/keywords/conditional-probability","display_name":"Conditional probability","score":0.4878068268299103},{"id":"https://openalex.org/keywords/regularization","display_name":"Regularization (linguistics)","score":0.45908987522125244},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.44684097170829773},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.4458089768886566},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34607067704200745},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.19913306832313538},{"id":"https://openalex.org/keywords/econometrics","display_name":"Econometrics","score":0.07563969492912292},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.06896090507507324}],"concepts":[{"id":"https://openalex.org/C97931131","wikidata":"https://www.wikidata.org/wiki/Q5282087","display_name":"Discriminative model","level":2,"score":0.9323676824569702},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.7204450964927673},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7044943571090698},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6302545070648193},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6086735725402832},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5573484301567078},{"id":"https://openalex.org/C43555835","wikidata":"https://www.wikidata.org/wiki/Q2300258","display_name":"Conditional probability distribution","level":2,"score":0.5222811698913574},{"id":"https://openalex.org/C44492722","wikidata":"https://www.wikidata.org/wiki/Q327069","display_name":"Conditional probability","level":2,"score":0.4878068268299103},{"id":"https://openalex.org/C2776135515","wikidata":"https://www.wikidata.org/wiki/Q17143721","display_name":"Regularization (linguistics)","level":2,"score":0.45908987522125244},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.44684097170829773},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.4458089768886566},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34607067704200745},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.19913306832313538},{"id":"https://openalex.org/C149782125","wikidata":"https://www.wikidata.org/wiki/Q160039","display_name":"Econometrics","level":1,"score":0.07563969492912292},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.06896090507507324},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","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/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3123266.3123431","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3123266.3123431","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 25th ACM international conference on Multimedia","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10","score":0.7300000190734863}],"awards":[{"id":"https://openalex.org/G3826386032","display_name":null,"funder_award_id":"Grant No. BK20170856","funder_id":"https://openalex.org/F4320322769","funder_display_name":"Natural Science Foundation of Jiangsu Province"},{"id":"https://openalex.org/G5877745229","display_name":null,"funder_award_id":"No.61572493, Grant U1536203","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322769","display_name":"Natural Science Foundation of Jiangsu Province","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":45,"referenced_works":["https://openalex.org/W1772300941","https://openalex.org/W1782590233","https://openalex.org/W1849277567","https://openalex.org/W1960880753","https://openalex.org/W1965804146","https://openalex.org/W1978370894","https://openalex.org/W1980506481","https://openalex.org/W2001532295","https://openalex.org/W2039140324","https://openalex.org/W2083192529","https://openalex.org/W2105026179","https://openalex.org/W2111084364","https://openalex.org/W2115651492","https://openalex.org/W2118664399","https://openalex.org/W2123497994","https://openalex.org/W2124303296","https://openalex.org/W2125389028","https://openalex.org/W2139741065","https://openalex.org/W2152679347","https://openalex.org/W2164207440","https://openalex.org/W2173520492","https://openalex.org/W2194775991","https://openalex.org/W2217527616","https://openalex.org/W2239239723","https://openalex.org/W2395611524","https://openalex.org/W2396267364","https://openalex.org/W2473439532","https://openalex.org/W2474516676","https://openalex.org/W2519481857","https://openalex.org/W2520774990","https://openalex.org/W2521028896","https://openalex.org/W2536132686","https://openalex.org/W2552465644","https://openalex.org/W2557993245","https://openalex.org/W2580360036","https://openalex.org/W2592232824","https://openalex.org/W2605287558","https://openalex.org/W2742023617","https://openalex.org/W2765221648","https://openalex.org/W2765978932","https://openalex.org/W2951961735","https://openalex.org/W2952865063","https://openalex.org/W2963420272","https://openalex.org/W2963470893","https://openalex.org/W3148140980"],"related_works":["https://openalex.org/W4396941953","https://openalex.org/W2987280934","https://openalex.org/W4233361406","https://openalex.org/W1523756637","https://openalex.org/W2094114678","https://openalex.org/W2136165559","https://openalex.org/W2348834827","https://openalex.org/W2366186655","https://openalex.org/W1964363270","https://openalex.org/W4210738546"],"abstract_inverted_index":{"Face":[0],"aging,":[1],"which":[2],"renders":[3],"aging":[4,102],"faces":[5],"for":[6,149,189],"an":[7,145],"input":[8],"face,":[9],"has":[10],"attracted":[11],"extensive":[12],"attention":[13],"in":[14],"the":[15,36,52,56,101,115,120,134,139,150,155,161,170,179],"multimedia":[16],"research.":[17],"Recently,":[18],"several":[19,105],"conditional":[20,89,97,122,151],"Generative":[21,74],"Adversarial":[22,75],"Nets":[23,76],"(GANs)":[24],"based":[25],"methods":[26,48],"have":[27],"achieved":[28],"great":[29],"success.":[30],"They":[31],"can":[32],"generate":[33],"images":[34],"fitting":[35],"real":[37,121,135,163],"face":[38,117,191],"distributions":[39],"conditioned":[40],"on":[41],"each":[42],"individual":[43],"age":[44,64,111],"group.":[45],"However,":[46],"these":[47],"fail":[49],"to":[50,78,118,132,159],"capture":[51],"transition":[53,125,136,164],"patterns,":[54],"e.g.,":[55],"gradual":[57],"shape":[58],"and":[59,92,181],"texture":[60],"changes":[61],"between":[62],"adjacent":[63],"groups.":[65],"In":[66],"this":[67],"paper,":[68],"we":[69],"propose":[70],"a":[71,88],"novel":[72],"Contextual":[73],"(C-GANs)":[77],"specifically":[79],"take":[80],"it":[81],"into":[82],"consideration.":[83],"The":[84,96,110,124],"C-GANs":[85],"consists":[86],"of":[87],"transformation":[90,98,152],"network":[91,99,113,128],"two":[93],"discriminative":[94,112,127],"networks.":[95],"imitates":[100],"procedure":[103],"with":[104,138,178],"specially":[106],"designed":[107],"residual":[108],"blocks.":[109],"guides":[114],"synthesized":[116],"fit":[119,160],"distribution.":[123,166],"pattern":[126,165],"is":[129],"novel,":[130],"aiming":[131],"distinguish":[133],"patterns":[137],"fake":[140],"ones.":[141],"It":[142],"serves":[143],"as":[144],"extra":[146],"regularization":[147],"term":[148],"network,":[153],"ensuring":[154],"generated":[156],"image":[157],"pairs":[158],"corresponding":[162],"Experimental":[167],"results":[168,175],"demonstrate":[169],"proposed":[171],"framework":[172],"produces":[173],"appealing":[174],"by":[176],"comparing":[177],"state-of-the-art":[180],"ground":[182],"truth.":[183],"We":[184],"also":[185],"observe":[186],"performance":[187],"gain":[188],"cross-age":[190],"verification.":[192]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2024,"cited_by_count":6},{"year":2023,"cited_by_count":11},{"year":2022,"cited_by_count":20},{"year":2021,"cited_by_count":26},{"year":2020,"cited_by_count":16},{"year":2019,"cited_by_count":20},{"year":2018,"cited_by_count":17},{"year":2017,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
