{"id":"https://openalex.org/W2057898782","doi":"https://doi.org/10.1109/iccv.2011.6126248","title":"Learning universal multi-view age estimator using video context","display_name":"Learning universal multi-view age estimator using video context","publication_year":2011,"publication_date":"2011-11-01","ids":{"openalex":"https://openalex.org/W2057898782","doi":"https://doi.org/10.1109/iccv.2011.6126248","mag":"2057898782"},"language":"en","primary_location":{"id":"doi:10.1109/iccv.2011.6126248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","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/A5101860736","display_name":"Zheng Song","orcid":"https://orcid.org/0000-0003-2698-1559"},"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":"Zheng Song","raw_affiliation_strings":["National University of Singapore, Singapore, SG","Department of Electrical and Computer Engineering, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014362734","display_name":"Bingbing Ni","orcid":"https://orcid.org/0000-0001-7339-028X"},"institutions":[{"id":"https://openalex.org/I115228651","display_name":"Agency for Science, Technology and Research","ror":"https://ror.org/036wvzt09","country_code":"SG","type":"government","lineage":["https://openalex.org/I115228651"]},{"id":"https://openalex.org/I4210108443","display_name":"Advanced Digital Sciences Center","ror":"https://ror.org/01xaqx887","country_code":"SG","type":"facility","lineage":["https://openalex.org/I4210108443"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Bingbing Ni","raw_affiliation_strings":["Advanced Digital Sciences Center, Singapore","[Advanced Digital Sciences Center, Singapore]"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Advanced Digital Sciences Center, Singapore","institution_ids":["https://openalex.org/I4210108443"]},{"raw_affiliation_string":"[Advanced Digital Sciences Center, Singapore]","institution_ids":["https://openalex.org/I115228651"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5076562769","display_name":"Dong Guo","orcid":"https://orcid.org/0000-0001-6024-1592"},"institutions":[{"id":"https://openalex.org/I4210114444","display_name":"Meta (United States)","ror":"https://ror.org/01zbnvs85","country_code":"US","type":"company","lineage":["https://openalex.org/I4210114444"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Dong Guo","raw_affiliation_strings":["Facebook, Inc., USA","Facebook, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Facebook, Inc., USA","institution_ids":["https://openalex.org/I4210114444"]},{"raw_affiliation_string":"Facebook, Singapore","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5065478753","display_name":"Terence Sim","orcid":"https://orcid.org/0000-0002-0198-094X"},"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":"Terence Sim","raw_affiliation_strings":["School of Computing, National University of Singapore, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computing, National University of Singapore, Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"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, SG","Department of Electrical and Computer Engineering, Singapore"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National University of Singapore, Singapore, SG","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Department of Electrical and Computer Engineering, Singapore","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":5,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":3.1403,"has_fulltext":false,"cited_by_count":57,"citation_normalized_percentile":{"value":0.93143764,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"241","last_page":"248"},"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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9933000206947327,"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/T11322","display_name":"Facial Rejuvenation and Surgery Techniques","score":0.9685999751091003,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7367684245109558},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.7029111385345459},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6840847134590149},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6773595809936523},{"id":"https://openalex.org/keywords/context","display_name":"Context (archaeology)","score":0.673912763595581},{"id":"https://openalex.org/keywords/consistency","display_name":"Consistency (knowledge bases)","score":0.5986754298210144},{"id":"https://openalex.org/keywords/estimator","display_name":"Estimator","score":0.5829430222511292},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4840659201145172},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4680822491645813},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3671685755252838},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.33424344658851624},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.1813318431377411},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.08241382241249084}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7367684245109558},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.7029111385345459},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6840847134590149},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6773595809936523},{"id":"https://openalex.org/C2779343474","wikidata":"https://www.wikidata.org/wiki/Q3109175","display_name":"Context (archaeology)","level":2,"score":0.673912763595581},{"id":"https://openalex.org/C2776436953","wikidata":"https://www.wikidata.org/wiki/Q5163215","display_name":"Consistency (knowledge bases)","level":2,"score":0.5986754298210144},{"id":"https://openalex.org/C185429906","wikidata":"https://www.wikidata.org/wiki/Q1130160","display_name":"Estimator","level":2,"score":0.5829430222511292},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4840659201145172},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4680822491645813},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3671685755252838},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.33424344658851624},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.1813318431377411},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.08241382241249084},{"id":"https://openalex.org/C151730666","wikidata":"https://www.wikidata.org/wiki/Q7205","display_name":"Paleontology","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"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/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}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/iccv.2011.6126248","is_oa":false,"landing_page_url":"https://doi.org/10.1109/iccv.2011.6126248","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2011 International Conference on Computer Vision","raw_type":"proceedings-article"},{"id":"pmh:oai:scholarbank.nus.edu.sg:10635/41437","is_oa":false,"landing_page_url":"http://scholarbank.nus.edu.sg/handle/10635/41437","pdf_url":null,"source":{"id":"https://openalex.org/S7407052290","display_name":"National University of Singapore","issn_l":null,"issn":[],"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Scopus","raw_type":"Conference Paper"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":34,"referenced_works":["https://openalex.org/W65124300","https://openalex.org/W1514062569","https://openalex.org/W1576747444","https://openalex.org/W2017143202","https://openalex.org/W2027643256","https://openalex.org/W2099755851","https://openalex.org/W2101581379","https://openalex.org/W2102331633","https://openalex.org/W2105026179","https://openalex.org/W2106488920","https://openalex.org/W2118664399","https://openalex.org/W2118755929","https://openalex.org/W2121939926","https://openalex.org/W2122089892","https://openalex.org/W2129000824","https://openalex.org/W2133887027","https://openalex.org/W2135357268","https://openalex.org/W2147278565","https://openalex.org/W2148727699","https://openalex.org/W2152586002","https://openalex.org/W2152826865","https://openalex.org/W2159888472","https://openalex.org/W2163626514","https://openalex.org/W2171297204","https://openalex.org/W2534023444","https://openalex.org/W2537685535","https://openalex.org/W2543728464","https://openalex.org/W6675450563","https://openalex.org/W6675941842","https://openalex.org/W6682090056","https://openalex.org/W6682634897","https://openalex.org/W6683405310","https://openalex.org/W6728601258","https://openalex.org/W6729005224"],"related_works":["https://openalex.org/W2103413230","https://openalex.org/W1899364738","https://openalex.org/W43171467","https://openalex.org/W1632903234","https://openalex.org/W2908959303","https://openalex.org/W2663901905","https://openalex.org/W2138569648","https://openalex.org/W2143020626","https://openalex.org/W2126942212","https://openalex.org/W2116300362"],"abstract_inverted_index":{"Many":[0],"existing":[1],"techniques":[2],"for":[3,29,148,161],"analyzing":[4],"face":[5,67,95,108,127,169,187],"images":[6],"assume":[7],"that":[8,200],"the":[9,35,115,122,130,135,145,149,155,158,162,175,180,186],"faces":[10,18,31,75,166,202],"are":[11,99],"at":[12],"nearly":[13],"frontal.":[14],"Generalizing":[15],"to":[16,23,34,48,101],"non-frontal":[17,30,74,163],"is":[19,86,113,140],"often":[20],"difficult,":[21],"due":[22],"a":[24,50,62,80,103,196],"dearth":[25],"of":[26,106,111,157],"ground":[27,208],"truth":[28,209],"and":[32,69,97,119,134,164,171,206],"also":[33],"inherent":[36],"challenges":[37],"in":[38],"handling":[39],"pose":[40],"variations.":[41],"In":[42],"this":[43],"work,":[44],"we":[45],"investigate":[46],"how":[47],"learn":[49],"universal":[51],"multi-view":[52,94,137,176,190],"age":[53,77,138,177,191,210],"estimator":[54,139,192],"by":[55,142],"harnessing":[56],"1)":[57,143],"unlabeled":[58,126],"web":[59],"videos,":[60],"2)":[61,153],"publicly":[63],"available":[64],"labeled":[65,151],"frontal":[66,165],"corpus,":[68],"3)":[70,172],"zero":[71],"or":[72],"more":[73],"with":[76,179],"labels.":[78],"First,":[79],"large":[81,104],"diverse":[82],"human-involved":[83],"video":[84,90,132],"corpus":[85],"collected":[87],"from":[88,114,185],"online":[89],"sharing":[91],"website.":[92],"Then,":[93],"detection":[96],"tracking":[98,117],"performed":[100],"build":[102],"set":[105],"frontal-vs-profile":[107],"bundles,":[109],"each":[110,168],"which":[112],"same":[116,123],"sequence,":[118],"thus":[120],"exhibiting":[121],"age.":[124],"These":[125],"bundles":[128],"constitute":[129],"so-called":[131],"context,":[133],"parametric":[136],"trained":[141],"enforcing":[144],"face-to-age":[146],"relation":[147],"partially":[150],"faces,":[152],"imposing":[154],"consistency":[156],"predicted":[159],"ages":[160],"within":[167],"bundle,":[170],"mutually":[173],"constraining":[174],"models":[178],"spatial":[181],"correspondence":[182],"priors":[183],"derived":[184],"bundles.":[188],"Our":[189],"performs":[193],"well":[194],"on":[195],"realistic":[197],"evaluation":[198],"dataset":[199],"contains":[201],"under":[203],"varying":[204],"poses,":[205],"whose":[207],"was":[211],"manually":[212],"annotated.":[213]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":5},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":6},{"year":2018,"cited_by_count":8},{"year":2017,"cited_by_count":11},{"year":2016,"cited_by_count":5},{"year":2015,"cited_by_count":2},{"year":2014,"cited_by_count":3},{"year":2013,"cited_by_count":5},{"year":2012,"cited_by_count":3}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
