{"id":"https://openalex.org/W2398351730","doi":"https://doi.org/10.1109/wacv.2016.7477678","title":"Analyzing human appearance as a cue for dating images","display_name":"Analyzing human appearance as a cue for dating images","publication_year":2016,"publication_date":"2016-03-01","ids":{"openalex":"https://openalex.org/W2398351730","doi":"https://doi.org/10.1109/wacv.2016.7477678","mag":"2398351730"},"language":"en","primary_location":{"id":"doi:10.1109/wacv.2016.7477678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},"type":"conference-paper","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/A5016115865","display_name":"Tawfiq Salem","orcid":"https://orcid.org/0000-0001-6232-0542"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Tawfiq Salem","raw_affiliation_strings":["Department of Computer Science, University of Kentucky"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Kentucky","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5001886403","display_name":"Scott Workman","orcid":null},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Scott Workman","raw_affiliation_strings":["Department of Computer Science, University of Kentucky"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Kentucky","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109587250","display_name":"Menghua Zhai","orcid":null},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Menghua Zhai","raw_affiliation_strings":["Department of Computer Science, University of Kentucky"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Kentucky","institution_ids":["https://openalex.org/I143302722"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5029557305","display_name":"Nathan Jacobs","orcid":"https://orcid.org/0000-0002-4242-8967"},"institutions":[{"id":"https://openalex.org/I143302722","display_name":"University of Kentucky","ror":"https://ror.org/02k3smh20","country_code":"US","type":"education","lineage":["https://openalex.org/I143302722"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Nathan Jacobs","raw_affiliation_strings":["Department of Computer Science, University of Kentucky"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Department of Computer Science, University of Kentucky","institution_ids":["https://openalex.org/I143302722"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I143302722"],"apc_list":null,"apc_paid":null,"fwci":0.5032,"has_fulltext":false,"cited_by_count":22,"citation_normalized_percentile":{"value":0.7544307,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":98},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"8"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9954000115394592,"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":0.9954000115394592,"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/T11118","display_name":"Evolutionary Psychology and Human Behavior","score":0.989300012588501,"subfield":{"id":"https://openalex.org/subfields/3205","display_name":"Experimental and Cognitive Psychology"},"field":{"id":"https://openalex.org/fields/32","display_name":"Psychology"},"domain":{"id":"https://openalex.org/domains/2","display_name":"Social Sciences"}},{"id":"https://openalex.org/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9876000285148621,"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/vignetting","display_name":"Vignetting","score":0.9296839237213135},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7366820573806763},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7341617345809937},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7030214667320251},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.5920443534851074},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5039317011833191},{"id":"https://openalex.org/keywords/variety","display_name":"Variety (cybernetics)","score":0.45366862416267395},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3245924115180969}],"concepts":[{"id":"https://openalex.org/C14740026","wikidata":"https://www.wikidata.org/wiki/Q1136665","display_name":"Vignetting","level":3,"score":0.9296839237213135},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7366820573806763},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7341617345809937},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7030214667320251},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.5920443534851074},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5039317011833191},{"id":"https://openalex.org/C136197465","wikidata":"https://www.wikidata.org/wiki/Q1729295","display_name":"Variety (cybernetics)","level":2,"score":0.45366862416267395},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3245924115180969},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.0},{"id":"https://openalex.org/C15336307","wikidata":"https://www.wikidata.org/wiki/Q1766051","display_name":"Lens (geology)","level":2,"score":0.0},{"id":"https://openalex.org/C78762247","wikidata":"https://www.wikidata.org/wiki/Q1273174","display_name":"Petroleum engineering","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/wacv.2016.7477678","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv.2016.7477678","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"},{"id":"pmh:oai:CiteSeerX.psu:10.1.1.705.5751","is_oa":false,"landing_page_url":"http://citeseerx.ist.psu.edu/viewdoc/summary?doi=10.1.1.705.5751","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"http://cs.uky.edu/%7Ejacobs/papers/salem2016f2y.pdf","raw_type":"text"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W114375244","https://openalex.org/W1167806532","https://openalex.org/W1493769376","https://openalex.org/W1525292367","https://openalex.org/W1899185266","https://openalex.org/W1899309388","https://openalex.org/W1905153633","https://openalex.org/W1916406603","https://openalex.org/W1933900011","https://openalex.org/W1938020354","https://openalex.org/W1949942966","https://openalex.org/W1991566470","https://openalex.org/W2021541806","https://openalex.org/W2026401411","https://openalex.org/W2055132753","https://openalex.org/W2097117768","https://openalex.org/W2103163130","https://openalex.org/W2115252128","https://openalex.org/W2117539524","https://openalex.org/W2127585704","https://openalex.org/W2134670479","https://openalex.org/W2135148528","https://openalex.org/W2145287260","https://openalex.org/W2155893237","https://openalex.org/W2161969291","https://openalex.org/W2163605009","https://openalex.org/W2168356304","https://openalex.org/W2171322814","https://openalex.org/W2199890863","https://openalex.org/W2963996492","https://openalex.org/W3100609465","https://openalex.org/W6627801759","https://openalex.org/W6639927594","https://openalex.org/W6640184732","https://openalex.org/W6674914833","https://openalex.org/W6677618333","https://openalex.org/W6679792166","https://openalex.org/W6681342084","https://openalex.org/W6684191040"],"related_works":["https://openalex.org/W2085396506","https://openalex.org/W2757822657","https://openalex.org/W1686365911","https://openalex.org/W1672565304","https://openalex.org/W2000169377","https://openalex.org/W2351567070","https://openalex.org/W1998561111","https://openalex.org/W2376880006","https://openalex.org/W2734979192","https://openalex.org/W2485057948"],"abstract_inverted_index":{"Given":[0],"an":[1],"image,":[2],"we":[3,118],"propose":[4],"to":[5,14,32,90,142,157],"use":[6],"the":[7,12,17,62,94,134,143],"appearance":[8,63,98,153],"of":[9,26,64,72,126,145],"people":[10,127],"in":[11],"scene":[13],"estimate":[15],"when":[16],"picture":[18],"was":[19],"taken.":[20],"There":[21],"are":[22],"a":[23,83,121,139,165],"wide":[24],"variety":[25],"cues":[27],"that":[28,103,151,160],"can":[29,109,163],"be":[30,111,164],"used":[31,56],"address":[33],"this":[34,70],"problem.":[35],"Most":[36],"previous":[37],"work":[38,51],"has":[39,55],"focused":[40],"on":[41,52,76,82],"low-level":[42],"image":[43,53,146],"features,":[44],"such":[45,60],"as":[46,61],"color":[47],"and":[48,66,99,107,159],"vignetting.":[49],"Recent":[50],"dating":[54],"more":[57,91],"semantic":[58,161],"cues,":[59],"automobiles":[65],"buildings.":[67],"We":[68,101],"extend":[69],"line":[71],"research":[73],"by":[74],"focusing":[75],"human":[77,97,152],"appearance.":[78],"Our":[79],"approach,":[80],"based":[81],"deep":[84],"convolutional":[85],"neural":[86],"network,":[87],"allows":[88],"us":[89],"deeply":[92],"explore":[93],"relationship":[95],"between":[96],"time.":[100],"find":[102],"clothing,":[104],"hair":[105],"styles,":[106],"glasses":[108],"all":[110],"informative":[112],"features.":[113],"To":[114],"support":[115],"our":[116,148],"analysis,":[117],"have":[119],"collected":[120],"new":[122],"dataset":[123],"containing":[124],"images":[125],"from":[128],"many":[129],"high":[130],"school":[131],"yearbooks,":[132],"covering":[133],"years":[135],"1912-2014.":[136],"While":[137],"not":[138],"complete":[140],"solution":[141],"problem":[144],"dating,":[147],"results":[149],"show":[150],"is":[154],"strongly":[155],"related":[156],"time":[158],"information":[162],"useful":[166],"cue.":[167]},"counts_by_year":[{"year":2026,"cited_by_count":2},{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":5},{"year":2020,"cited_by_count":3},{"year":2019,"cited_by_count":1},{"year":2017,"cited_by_count":3},{"year":2016,"cited_by_count":1},{"year":2015,"cited_by_count":1}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
