{"id":"https://openalex.org/W1963615492","doi":"https://doi.org/10.1109/tmm.2014.2316475","title":"Adaptive Learning for Celebrity &lt;newline/&gt;Identification With Video Context","display_name":"Adaptive Learning for Celebrity &lt;newline/&gt;Identification With Video Context","publication_year":2014,"publication_date":"2014-04-10","ids":{"openalex":"https://openalex.org/W1963615492","doi":"https://doi.org/10.1109/tmm.2014.2316475","mag":"1963615492"},"language":"en","primary_location":{"id":"doi:10.1109/tmm.2014.2316475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2316475","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/A5102741305","display_name":"Chao Xiong","orcid":"https://orcid.org/0000-0003-1325-4192"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":true,"raw_author_name":"Chao Xiong","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK","institution_ids":["https://openalex.org/I47508984"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5062899493","display_name":"Guangyu Gao","orcid":"https://orcid.org/0000-0002-0083-3016"},"institutions":[{"id":"https://openalex.org/I125839683","display_name":"Beijing Institute of Technology","ror":"https://ror.org/01skt4w74","country_code":"CN","type":"education","lineage":["https://openalex.org/I125839683","https://openalex.org/I890469752"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Guangyu Gao","raw_affiliation_strings":["School of Software, Beijing Institute of Technology, China"],"affiliations":[{"raw_affiliation_string":"School of Software, Beijing Institute of Technology, China","institution_ids":["https://openalex.org/I125839683"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003217535","display_name":"Zheng-Jun Zha","orcid":"https://orcid.org/0000-0003-2510-8993"},"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"]},{"id":"https://openalex.org/I4210099079","display_name":"Institute of Intelligent Machines","ror":"https://ror.org/00w0qep84","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I2802624667","https://openalex.org/I4210099079"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengjun Zha","raw_affiliation_strings":["Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, Anhui, China","Institute of Intelligent Machines; Chinese Academy of Sciences; Hefei China"],"affiliations":[{"raw_affiliation_string":"Chinese Academy of Sciences, Institute of Intelligent Machines, Hefei, Anhui, China","institution_ids":["https://openalex.org/I4210099079","https://openalex.org/I19820366"]},{"raw_affiliation_string":"Institute of Intelligent Machines; Chinese Academy of Sciences; Hefei China","institution_ids":["https://openalex.org/I19820366"]}]},{"author_position":"middle","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":["Department of Electrical and Computer Engineering, National University of Singapore","Dept. of Electrical & Computer Engineering National University of Singapore"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Computer Engineering, National University of Singapore","institution_ids":["https://openalex.org/I165932596"]},{"raw_affiliation_string":"Dept. of Electrical & Computer Engineering National University of Singapore","institution_ids":["https://openalex.org/I165932596"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100710713","display_name":"Huad\u00f3ng Ma","orcid":"https://orcid.org/0000-0002-7199-5047"},"institutions":[{"id":"https://openalex.org/I139759216","display_name":"Beijing University of Posts and Telecommunications","ror":"https://ror.org/04w9fbh59","country_code":"CN","type":"education","lineage":["https://openalex.org/I139759216"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Huadong Ma","raw_affiliation_strings":["Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China#TAB#"],"affiliations":[{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China","institution_ids":["https://openalex.org/I139759216"]},{"raw_affiliation_string":"Beijing Key Laboratory of Intelligent Telecommunications Software and Multimedia, Beijing University of Posts and Telecommunications, Beijing, China#TAB#","institution_ids":["https://openalex.org/I139759216"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100653784","display_name":"Tae\u2010Kyun Kim","orcid":"https://orcid.org/0000-0002-7587-6053"},"institutions":[{"id":"https://openalex.org/I47508984","display_name":"Imperial College London","ror":"https://ror.org/041kmwe10","country_code":"GB","type":"education","lineage":["https://openalex.org/I47508984"]}],"countries":["GB"],"is_corresponding":false,"raw_author_name":"Tae-Kyun Kim","raw_affiliation_strings":["Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK"],"affiliations":[{"raw_affiliation_string":"Department of Electrical and Electronic Engineering, Imperial College, South Kensington Campus, London, UK","institution_ids":["https://openalex.org/I47508984"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":6,"corresponding_author_ids":["https://openalex.org/A5102741305"],"corresponding_institution_ids":["https://openalex.org/I47508984"],"apc_list":null,"apc_paid":null,"fwci":0.9755,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.78491293,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":96},"biblio":{"volume":"16","issue":"5","first_page":"1473","last_page":"1485"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9987000226974487,"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":0.9987000226974487,"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":0.9968000054359436,"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/T11309","display_name":"Music and Audio Processing","score":0.994700014591217,"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/computer-science","display_name":"Computer science","score":0.9020265936851501},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6760401725769043},{"id":"https://openalex.org/keywords/classifier","display_name":"Classifier (UML)","score":0.6332758665084839},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.4471486210823059},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3742096424102783}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.9020265936851501},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6760401725769043},{"id":"https://openalex.org/C95623464","wikidata":"https://www.wikidata.org/wiki/Q1096149","display_name":"Classifier (UML)","level":2,"score":0.6332758665084839},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4471486210823059},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3742096424102783}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/tmm.2014.2316475","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tmm.2014.2316475","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":61,"referenced_works":["https://openalex.org/W88868203","https://openalex.org/W167030064","https://openalex.org/W1540155273","https://openalex.org/W1555194058","https://openalex.org/W1563088657","https://openalex.org/W1601728199","https://openalex.org/W1653444175","https://openalex.org/W1664825283","https://openalex.org/W1756896031","https://openalex.org/W1807914171","https://openalex.org/W1953764758","https://openalex.org/W1969228515","https://openalex.org/W1973054923","https://openalex.org/W1975672287","https://openalex.org/W1987848744","https://openalex.org/W2006500012","https://openalex.org/W2009119155","https://openalex.org/W2033379619","https://openalex.org/W2048679005","https://openalex.org/W2055251102","https://openalex.org/W2087128009","https://openalex.org/W2093153344","https://openalex.org/W2101210369","https://openalex.org/W2104290444","https://openalex.org/W2106471914","https://openalex.org/W2107558380","https://openalex.org/W2124216369","https://openalex.org/W2124225542","https://openalex.org/W2124386111","https://openalex.org/W2124573631","https://openalex.org/W2129758780","https://openalex.org/W2131140847","https://openalex.org/W2134214209","https://openalex.org/W2134504230","https://openalex.org/W2142114717","https://openalex.org/W2154455818","https://openalex.org/W2160160833","https://openalex.org/W2162813111","https://openalex.org/W2163352848","https://openalex.org/W2163568299","https://openalex.org/W2168996682","https://openalex.org/W2169833165","https://openalex.org/W2170865122","https://openalex.org/W2294602567","https://openalex.org/W2544874028","https://openalex.org/W2997701990","https://openalex.org/W3018189936","https://openalex.org/W6603613150","https://openalex.org/W6633364804","https://openalex.org/W6636840907","https://openalex.org/W6637179743","https://openalex.org/W6637875599","https://openalex.org/W6638399501","https://openalex.org/W6675747103","https://openalex.org/W6680118595","https://openalex.org/W6681325634","https://openalex.org/W6684006261","https://openalex.org/W6685061613","https://openalex.org/W6697111280","https://openalex.org/W6728877286","https://openalex.org/W6987769829"],"related_works":["https://openalex.org/W2961085424","https://openalex.org/W2755342338","https://openalex.org/W2058170566","https://openalex.org/W4306674287","https://openalex.org/W2036807459","https://openalex.org/W2775347418","https://openalex.org/W1969923398","https://openalex.org/W2772917594","https://openalex.org/W2166024367","https://openalex.org/W3116076068"],"abstract_inverted_index":{"In":[0],"this":[1,136,186],"paper,":[2],"we":[3,138,166],"propose":[4,139],"a":[5,44,47,70,168,189],"novel":[6],"semi-supervised":[7],"learning":[8,26,119],"strategy":[9],"to":[10,23,62,140],"address":[11,135],"the":[12,25,30,35,40,52,58,64,90,94,102,105,110,113,131,142,159,164],"problem":[13],"of":[14,104,112,155,180,196],"celebrity":[15],"identification.":[16],"The":[17,97],"video":[18,37,191],"context":[19],"information":[20],"is":[21,49,82,115],"explored":[22],"facilitate":[24],"process":[27,100],"based":[28],"on":[29,185],"assumption":[31],"that":[32,109],"faces":[33],"in":[34,129,158],"same":[36,41],"track":[38,48],"share":[39],"identity.":[42],"Once":[43],"frame":[45],"within":[46],"recognized":[50],"confidently,":[51],"label":[53],"can":[54],"be":[55],"propagated":[56],"through":[57],"whole":[59],"track,":[60],"referred":[61],"as":[63,145,157],"confident":[65,91,132],"track.":[66],"More":[67],"specifically,":[68],"given":[69],"few":[71],"static":[72,174],"images":[73,175],"and":[74,84,152,176,188],"vast":[75],"face":[76,178],"videos,":[77],"an":[78],"initial":[79],"weak":[80],"classifier":[81,114],"trained":[83],"gradually":[85,116],"evolves":[86],"by":[87,127],"iteratively":[88],"promoting":[89],"tracks":[92,179],"into":[93],"\u201clabeled\u201d":[95,106],"set.":[96],"iterative":[98],"selection":[99],"enriches":[101],"diversity":[103],"set":[107],"such":[108],"performance":[111],"improved.":[117],"This":[118],"theme":[120],"may":[121],"suffer":[122],"from":[123],"semantic":[124],"drifting":[125],"caused":[126],"errors":[128],"selecting":[130],"tracks.":[133],"To":[134,162],"issue,":[137],"treat":[141],"selected":[143],"frames":[144],"related":[146],"samples-an":[147],"intermediate":[148],"state":[149],"between":[150],"labeled":[151,156],"unlabeled":[153],"instead":[154],"traditional":[160],"approach.":[161],"evaluate":[163],"performance,":[165],"construct":[167],"new":[169],"dataset,":[170],"which":[171],"includes":[172],"3000":[173],"2700":[177],"30":[181],"celebrities.":[182],"Comprehensive":[183],"evaluations":[184],"dataset":[187,192],"public":[190],"indicate":[193],"significant":[194],"improvement":[195],"our":[197],"approach":[198],"over":[199],"established":[200],"baseline":[201],"methods.":[202]},"counts_by_year":[{"year":2020,"cited_by_count":1},{"year":2019,"cited_by_count":1},{"year":2016,"cited_by_count":2},{"year":2015,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
