{"id":"https://openalex.org/W3006607895","doi":"https://doi.org/10.1109/icb45273.2019.8987314","title":"Hunting for Fashion via Large Scale Soft Biometrics Analysis","display_name":"Hunting for Fashion via Large Scale Soft Biometrics Analysis","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W3006607895","doi":"https://doi.org/10.1109/icb45273.2019.8987314","mag":"3006607895"},"language":"en","primary_location":{"id":"doi:10.1109/icb45273.2019.8987314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","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/A5114348335","display_name":"Xiaoyuan Wang","orcid":null},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoyuan Wang","raw_affiliation_strings":["Sichuan University,College of Computer Science,Chengdu,Sichuan,P. R. China,610065","College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,Chengdu,Sichuan,P. R. China,610065","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5072929639","display_name":"Li Lu","orcid":"https://orcid.org/0000-0001-7904-8821"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Lu","raw_affiliation_strings":["Sichuan University,College of Computer Science,Chengdu,Sichuan,P. R. China,610065","College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,Chengdu,Sichuan,P. R. China,610065","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085914001","display_name":"Qijun Zhao","orcid":"https://orcid.org/0000-0003-4651-7163"},"institutions":[{"id":"https://openalex.org/I24185976","display_name":"Sichuan University","ror":"https://ror.org/011ashp19","country_code":"CN","type":"education","lineage":["https://openalex.org/I24185976"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Qijun Zhao","raw_affiliation_strings":["Sichuan University,College of Computer Science,Chengdu,Sichuan,P. R. China,610065","College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China"],"affiliations":[{"raw_affiliation_string":"Sichuan University,College of Computer Science,Chengdu,Sichuan,P. R. China,610065","institution_ids":["https://openalex.org/I24185976"]},{"raw_affiliation_string":"College of Computer Science, Sichuan University, Chengdu, Sichuan, P. R. China","institution_ids":["https://openalex.org/I24185976"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5066506917","display_name":"Kurban Ubul","orcid":"https://orcid.org/0000-0002-7566-6494"},"institutions":[{"id":"https://openalex.org/I96908189","display_name":"Xinjiang University","ror":"https://ror.org/059gw8r13","country_code":"CN","type":"education","lineage":["https://openalex.org/I96908189"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Kurban Ubul","raw_affiliation_strings":["Xinjiang University,College of Information Science and Engineering,Urumqi,Xinjiang,China","College of Information Science and Engineering, Xinjiang University, Urumqi, Xinjiang, China"],"affiliations":[{"raw_affiliation_string":"Xinjiang University,College of Information Science and Engineering,Urumqi,Xinjiang,China","institution_ids":["https://openalex.org/I96908189"]},{"raw_affiliation_string":"College of Information Science and Engineering, Xinjiang University, Urumqi, Xinjiang, China","institution_ids":["https://openalex.org/I96908189"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5114348335"],"corresponding_institution_ids":["https://openalex.org/I24185976"],"apc_list":null,"apc_paid":null,"fwci":0.1012,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.47948247,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"6"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9994999766349792,"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":0.9994999766349792,"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":0.9868000149726868,"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/T10860","display_name":"Speech and Audio Processing","score":0.965499997138977,"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":0.7376702427864075},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.714841902256012},{"id":"https://openalex.org/keywords/biometrics","display_name":"Biometrics","score":0.7012205719947815},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.638607919216156},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6221863031387329},{"id":"https://openalex.org/keywords/scale","display_name":"Scale (ratio)","score":0.5363569855690002},{"id":"https://openalex.org/keywords/set","display_name":"Set (abstract data type)","score":0.4784305691719055},{"id":"https://openalex.org/keywords/feature-extraction","display_name":"Feature extraction","score":0.47304409742355347},{"id":"https://openalex.org/keywords/clothing","display_name":"Clothing","score":0.4461195468902588},{"id":"https://openalex.org/keywords/perspective","display_name":"Perspective (graphical)","score":0.4385564625263214},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42681172490119934},{"id":"https://openalex.org/keywords/geography","display_name":"Geography","score":0.09042471647262573}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7376702427864075},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.714841902256012},{"id":"https://openalex.org/C184297639","wikidata":"https://www.wikidata.org/wiki/Q177765","display_name":"Biometrics","level":2,"score":0.7012205719947815},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.638607919216156},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6221863031387329},{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5363569855690002},{"id":"https://openalex.org/C177264268","wikidata":"https://www.wikidata.org/wiki/Q1514741","display_name":"Set (abstract data type)","level":2,"score":0.4784305691719055},{"id":"https://openalex.org/C52622490","wikidata":"https://www.wikidata.org/wiki/Q1026626","display_name":"Feature extraction","level":2,"score":0.47304409742355347},{"id":"https://openalex.org/C530175646","wikidata":"https://www.wikidata.org/wiki/Q11460","display_name":"Clothing","level":2,"score":0.4461195468902588},{"id":"https://openalex.org/C12713177","wikidata":"https://www.wikidata.org/wiki/Q1900281","display_name":"Perspective (graphical)","level":2,"score":0.4385564625263214},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42681172490119934},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.09042471647262573},{"id":"https://openalex.org/C58640448","wikidata":"https://www.wikidata.org/wiki/Q42515","display_name":"Cartography","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/C166957645","wikidata":"https://www.wikidata.org/wiki/Q23498","display_name":"Archaeology","level":1,"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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icb45273.2019.8987314","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icb45273.2019.8987314","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Conference on Biometrics (ICB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":29,"referenced_works":["https://openalex.org/W17841768","https://openalex.org/W1834627138","https://openalex.org/W1965804146","https://openalex.org/W1982268685","https://openalex.org/W1993014263","https://openalex.org/W2005555712","https://openalex.org/W2029006879","https://openalex.org/W2044730627","https://openalex.org/W2099391992","https://openalex.org/W2100729078","https://openalex.org/W2101149304","https://openalex.org/W2115252128","https://openalex.org/W2115394472","https://openalex.org/W2155893237","https://openalex.org/W2246715383","https://openalex.org/W2294952472","https://openalex.org/W2521344471","https://openalex.org/W2527112092","https://openalex.org/W2605124728","https://openalex.org/W2611104282","https://openalex.org/W2614562328","https://openalex.org/W2769576731","https://openalex.org/W2771751549","https://openalex.org/W2949350952","https://openalex.org/W2962786991","https://openalex.org/W2963460857","https://openalex.org/W6677618333","https://openalex.org/W6690921818","https://openalex.org/W6746054350"],"related_works":["https://openalex.org/W2738456166","https://openalex.org/W2352745894","https://openalex.org/W2057731951","https://openalex.org/W2358836583","https://openalex.org/W2064629212","https://openalex.org/W2387983088","https://openalex.org/W2135888309","https://openalex.org/W3080469217","https://openalex.org/W791876968","https://openalex.org/W2768638338"],"abstract_inverted_index":{"Fashion":[0],"analysis":[1,25,69],"has":[2,27],"gained":[3],"increasing":[4],"attention":[5],"thanks":[6],"to":[7,80,153],"its":[8],"immense":[9],"potential":[10],"in":[11,129],"fashion":[12,24,83,172,185],"industry,":[13],"precision":[14],"marketing,":[15],"and":[16,32,63,88,109,116,147,174,189],"sociological":[17],"analysis,":[18,173],"etc.":[19],"While":[20],"a":[21,73],"lot":[22],"of":[23,35,43,70,85,187,205],"work":[26],"been":[28],"done":[29],"for":[30,182],"clothing":[31],"makeup,":[33],"few":[34],"them":[36],"address":[37],"the":[38,41,68,82,97,114,125,130,137,142,170,184,196,203],"problem":[39],"from":[40,113,141,169],"perspective":[42],"large":[44,74,132,198],"scale":[45,75,133,199],"soft":[46,54],"biometrics.":[47],"In":[48,136],"this":[49,92],"paper,":[50],"we":[51,78,94,139],"focus":[52],"on":[53,57,67,100,124,195],"biometric":[55],"attributes":[56],"human":[58],"faces,":[59],"particularly":[60],"lip":[61,115],"color":[62,87,110,127],"hair":[64,89,117,190],"color,":[65],"based":[66,123],"which":[71],"using":[72],"data":[76,134,200],"set":[77,201],"aim":[79],"reveal":[81],"trend":[84,186],"lipstick":[86,188],"color.":[90],"To":[91],"end,":[93],"first":[95],"perform":[96,121],"following":[98],"steps":[99],"each":[101],"image:":[102],"face":[103,107,151,162,180],"detection,":[104,106],"occlusion":[105,157],"parsing,":[108],"feature":[111],"extraction":[112],"regions.":[118],"We":[119],"then":[120],"clustering":[122],"extracted":[126],"features":[128],"given":[131],"set.":[135],"experiments,":[138],"collect":[140],"Internet":[143],"15,":[144],"366":[145],"mouth-occluded":[146],"14,":[148],"580":[149],"hair-occluded":[150],"images":[152,163,181],"train":[154],"an":[155],"effective":[156],"detector":[158],"such":[159],"that":[160],"noisy":[161],"with":[164],"occluded":[165],"mouths/hairs":[166],"are":[167],"excluded":[168],"subsequent":[171],"another":[175],"more":[176],"than":[177],"20,":[178],"000":[179],"analyzing":[183],"colors.":[191],"Our":[192],"experimental":[193],"results":[194],"collected":[197],"prove":[202],"effectiveness":[204],"our":[206],"proposed":[207],"method.":[208]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
