{"id":"https://openalex.org/W2217527616","doi":"https://doi.org/10.1109/tmm.2015.2500730","title":"Deep Aging Face Verification With Large Gaps","display_name":"Deep Aging Face Verification With Large Gaps","publication_year":2015,"publication_date":"2015-11-13","ids":{"openalex":"https://openalex.org/W2217527616","doi":"https://doi.org/10.1109/tmm.2015.2500730","mag":"2217527616"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2015.2500730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2015.2500730","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-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/A5029778327","display_name":"Luoqi Liu","orcid":null},"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":true,"raw_author_name":"Luoqi Liu","raw_affiliation_strings":["National University of Singapore, Singapore","National University of Singapore , Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore , Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5102741305","display_name":"Chao Xiong","orcid":"https://orcid.org/0000-0003-1325-4192"},"institutions":[{"id":"https://openalex.org/I2800306684","display_name":"Acton Institute","ror":"https://ror.org/03zp31h16","country_code":"US","type":"nonprofit","lineage":["https://openalex.org/I2800306684"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Chao Xiong","raw_affiliation_strings":["North Acton, London"],"affiliations":[{"raw_affiliation_string":"North Acton, London","institution_ids":["https://openalex.org/I2800306684"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5042324027","display_name":"Hanwang Zhang","orcid":"https://orcid.org/0000-0001-7374-8739"},"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":"Hanwang Zhang","raw_affiliation_strings":["National University of Singapore, Singapore","National University of Singapore , Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore , Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034358881","display_name":"Zhiheng Niu","orcid":"https://orcid.org/0000-0002-5615-3714"},"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":"Zhiheng Niu","raw_affiliation_strings":["National University of Singapore, Singapore","National University of Singapore , Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore , Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100377147","display_name":"Meng Wang","orcid":"https://orcid.org/0000-0002-3094-7735"},"institutions":[{"id":"https://openalex.org/I16365422","display_name":"Hefei University of Technology","ror":"https://ror.org/02czkny70","country_code":"CN","type":"education","lineage":["https://openalex.org/I16365422"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Meng Wang","raw_affiliation_strings":["School of Computer and Information, Hefei University of Technology, Hefei, China","School of Computer and Information; Hefei University of Technology; Hefei China"],"affiliations":[{"raw_affiliation_string":"School of Computer and Information, Hefei University of Technology, Hefei, China","institution_ids":["https://openalex.org/I16365422"]},{"raw_affiliation_string":"School of Computer and Information; Hefei University of Technology; Hefei China","institution_ids":["https://openalex.org/I16365422"]}]},{"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, Singapore","National University of Singapore , Singapore"],"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"National University of Singapore , Singapore","institution_ids":["https://openalex.org/I165932596"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5029778327"],"corresponding_institution_ids":["https://openalex.org/I165932596"],"apc_list":null,"apc_paid":null,"fwci":4.7865,"has_fulltext":false,"cited_by_count":59,"citation_normalized_percentile":{"value":0.96753878,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":"18","issue":"1","first_page":"64","last_page":"75"},"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":0.9940999746322632,"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9531000256538391,"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":0.7817747592926025},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7238197326660156},{"id":"https://openalex.org/keywords/overfitting","display_name":"Overfitting","score":0.7188999652862549},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.5226625800132751},{"id":"https://openalex.org/keywords/encoder","display_name":"Encoder","score":0.4821431338787079},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.47525331377983093},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.38893234729766846},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.12614399194717407}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7817747592926025},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7238197326660156},{"id":"https://openalex.org/C22019652","wikidata":"https://www.wikidata.org/wiki/Q331309","display_name":"Overfitting","level":3,"score":0.7188999652862549},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.5226625800132751},{"id":"https://openalex.org/C118505674","wikidata":"https://www.wikidata.org/wiki/Q42586063","display_name":"Encoder","level":2,"score":0.4821431338787079},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.47525331377983093},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.38893234729766846},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.12614399194717407},{"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},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2015.2500730","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2015.2500730","pdf_url":null,"source":{"id":"https://openalex.org/S137030581","display_name":"IEEE Transactions on Multimedia","issn_l":"1520-9210","issn":["1520-9210","1941-0077"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Multimedia","raw_type":"journal-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Decent work and economic growth","id":"https://metadata.un.org/sdg/8","score":0.4300000071525574}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W1592715045","https://openalex.org/W1782590233","https://openalex.org/W1872489089","https://openalex.org/W1890427773","https://openalex.org/W1904365287","https://openalex.org/W1970067734","https://openalex.org/W1980163762","https://openalex.org/W1998808035","https://openalex.org/W2005539193","https://openalex.org/W2014102203","https://openalex.org/W2015310273","https://openalex.org/W2067425370","https://openalex.org/W2072128103","https://openalex.org/W2097729189","https://openalex.org/W2100495367","https://openalex.org/W2106488920","https://openalex.org/W2111084364","https://openalex.org/W2114588272","https://openalex.org/W2118664399","https://openalex.org/W2121293528","https://openalex.org/W2121647436","https://openalex.org/W2123497994","https://openalex.org/W2123941108","https://openalex.org/W2125027820","https://openalex.org/W2127635091","https://openalex.org/W2131081720","https://openalex.org/W2144172034","https://openalex.org/W2145287260","https://openalex.org/W2148694408","https://openalex.org/W2149906774","https://openalex.org/W2152175008","https://openalex.org/W2157323699","https://openalex.org/W2159786793","https://openalex.org/W2163605009","https://openalex.org/W2163808566","https://openalex.org/W2166939233","https://openalex.org/W2237250383","https://openalex.org/W4231109964","https://openalex.org/W4240397017","https://openalex.org/W4251391716","https://openalex.org/W4293460823","https://openalex.org/W6635398309","https://openalex.org/W6639260565","https://openalex.org/W6640036494","https://openalex.org/W6645451754","https://openalex.org/W6649863312","https://openalex.org/W6678111577","https://openalex.org/W6681239517","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W1574414179","https://openalex.org/W4362597605","https://openalex.org/W4297676672","https://openalex.org/W4281702477","https://openalex.org/W2922073769","https://openalex.org/W4378510483","https://openalex.org/W2490526372","https://openalex.org/W4376166922","https://openalex.org/W4221142204","https://openalex.org/W2191179271"],"abstract_inverted_index":{"Along":[0],"with":[1,24,31,126],"the":[2,18,96,103,111,136,145,154,177,180,188,192,202,211,217,222,225],"long-time":[3],"evolution":[4],"of":[5,20,98,106,140,150,153,179,224],"popular":[6],"social":[7,11],"networks,":[8],"e.g.":[9],"Facebook,":[10],"media":[12],"analysis":[13],"research":[14,30],"inevitably":[15],"arrived":[16],"at":[17],"era":[19],"considering":[21],"face/user":[22],"recognition":[23],"large":[25,35],"age":[26,36,100,156],"gaps.":[27],"However,":[28],"related":[29],"adequate":[32],"subjects":[33],"and":[34,86,110,147,197],"gaps":[37],"is":[38,114,158],"surprisingly":[39],"rare.":[40],"In":[41],"this":[42,76],"work,":[43],"we":[44,64,198],"first":[45],"collect":[46],"a":[47,66,115,121,141,161],"so-called":[48],"cross-age":[49],"face":[50,72,88,105,131,142,182,234],"(CAFE)":[51],"dataset,":[52],"ranging":[53],"from":[54,187,191],"child,":[55],"to":[56,58,60,171,200,206],"young,":[57],"adult,":[59],"old":[61],"groups.":[62],"Then,":[63],"propose":[65,199],"novel":[67],"framework,":[68],"called":[69],"deep":[70,116],"aging":[71,83,87,91,130,138,181,193,233],"verification":[73,132,183],"(DAFV),":[74],"for":[75,102,210,232],"challenging":[77],"task.":[78],"DAFV":[79,227],"includes":[80],"two":[81],"modules:":[82],"pattern":[84,92,194],"synthesis":[85,93,195,212],"verification.":[89,235],"The":[90,129],"module":[94,133,184],"synthesizes":[95],"faces":[97],"all":[99,165],"groups":[101],"input":[104],"an":[107],"arbitrary":[108],"age,":[109],"core":[112],"structure":[113],"aging-aware":[117],"denoising":[118],"auto-encoder":[119],"(":[120],"<sup":[122],"xmlns:mml=\"http://www.w3.org/1998/Math/MathML\"":[123],"xmlns:xlink=\"http://www.w3.org/1999/xlink\">2</sup>":[124],"-DAE)":[125],"multiple":[127],"outputs.":[128],"then":[134],"takes":[135],"synthesized":[137,151],"patterns":[139],"pair":[143,149],"as":[144],"input,":[146],"each":[148],"images":[152],"same":[155],"group":[157],"fed":[159],"into":[160],"parallel":[162,166],"CNN;":[163],"finally,":[164],"CNN":[167],"outputs":[168,209],"are":[169],"fused":[170],"provide":[172],"similar/dissimilar":[173],"prediction.":[174],"For":[175],"DAFV,":[176],"training":[178],"easily":[185],"suffers":[186],"overfitting":[189],"results":[190],"module,":[196],"use":[201],"cross-":[203],"validation":[204],"strategy":[205],"produce":[207],"error-aware":[208],"module.":[213],"Extensive":[214],"experiments":[215],"on":[216],"CAFE":[218],"dataset":[219],"well":[220],"demonstrate":[221],"superiority":[223],"proposed":[226],"framework":[228],"over":[229],"other":[230],"solutions":[231]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":7},{"year":2020,"cited_by_count":10},{"year":2019,"cited_by_count":9},{"year":2018,"cited_by_count":12},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}