{"id":"https://openalex.org/W2890007666","doi":"https://doi.org/10.1109/icip.2018.8451236","title":"Text2Sketch: Learning Face Sketch from Facial Attribute Text","display_name":"Text2Sketch: Learning Face Sketch from Facial Attribute Text","publication_year":2018,"publication_date":"2018-09-07","ids":{"openalex":"https://openalex.org/W2890007666","doi":"https://doi.org/10.1109/icip.2018.8451236","mag":"2890007666"},"language":"en","primary_location":{"id":"doi:10.1109/icip.2018.8451236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","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/A5101587393","display_name":"Yikun Wang","orcid":"https://orcid.org/0009-0000-7619-9907"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Yikun Wang","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5012991566","display_name":"Liang Chang","orcid":"https://orcid.org/0000-0002-9450-5960"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Liang Chang","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5017416584","display_name":"Yuhua Cheng","orcid":"https://orcid.org/0000-0002-5580-2006"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yuhua Cheng","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085762593","display_name":"Lihua Jin","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lihua Jin","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5027116446","display_name":"Zhengxin Cheng","orcid":null},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhengxin Cheng","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5084660341","display_name":"Xiaoming Deng","orcid":"https://orcid.org/0000-0001-8576-1201"},"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/I4210128818","display_name":"Institute of Software","ror":"https://ror.org/033dfsn42","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210128818"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoming Deng","raw_affiliation_strings":["Institute of Software, Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"Institute of Software, Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210128818","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5084694395","display_name":"Fuqing Duan","orcid":"https://orcid.org/0000-0002-3849-8532"},"institutions":[{"id":"https://openalex.org/I25254941","display_name":"Beijing Normal University","ror":"https://ror.org/022k4wk35","country_code":"CN","type":"education","lineage":["https://openalex.org/I25254941"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fuqing Duan","raw_affiliation_strings":["College of Information Science and Technology, Beijing Normal University, Beijing, China"],"affiliations":[{"raw_affiliation_string":"College of Information Science and Technology, Beijing Normal University, Beijing, China","institution_ids":["https://openalex.org/I25254941"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5101587393"],"corresponding_institution_ids":["https://openalex.org/I25254941"],"apc_list":null,"apc_paid":null,"fwci":0.7312,"has_fulltext":false,"cited_by_count":16,"citation_normalized_percentile":{"value":0.76754634,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":94,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"669","last_page":"673"},"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":0.9937999844551086,"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/T10057","display_name":"Face and Expression Recognition","score":0.9897000193595886,"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/sketch","display_name":"Sketch","score":0.9769742488861084},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.8070762157440186},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7702233791351318},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.5762108564376831},{"id":"https://openalex.org/keywords/sketch-recognition","display_name":"Sketch recognition","score":0.564305305480957},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5150813460350037},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.4196605086326599},{"id":"https://openalex.org/keywords/information-retrieval","display_name":"Information retrieval","score":0.40511268377304077},{"id":"https://openalex.org/keywords/natural-language-processing","display_name":"Natural language processing","score":0.33623695373535156},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.0995168387889862},{"id":"https://openalex.org/keywords/linguistics","display_name":"Linguistics","score":0.0670730471611023}],"concepts":[{"id":"https://openalex.org/C2779231336","wikidata":"https://www.wikidata.org/wiki/Q7534724","display_name":"Sketch","level":2,"score":0.9769742488861084},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8070762157440186},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7702233791351318},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.5762108564376831},{"id":"https://openalex.org/C132900626","wikidata":"https://www.wikidata.org/wiki/Q7534733","display_name":"Sketch recognition","level":4,"score":0.564305305480957},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5150813460350037},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.4196605086326599},{"id":"https://openalex.org/C23123220","wikidata":"https://www.wikidata.org/wiki/Q816826","display_name":"Information retrieval","level":1,"score":0.40511268377304077},{"id":"https://openalex.org/C204321447","wikidata":"https://www.wikidata.org/wiki/Q30642","display_name":"Natural language processing","level":1,"score":0.33623695373535156},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.0995168387889862},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0670730471611023},{"id":"https://openalex.org/C159437735","wikidata":"https://www.wikidata.org/wiki/Q1519524","display_name":"Gesture recognition","level":3,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0},{"id":"https://openalex.org/C207347870","wikidata":"https://www.wikidata.org/wiki/Q371174","display_name":"Gesture","level":2,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icip.2018.8451236","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icip.2018.8451236","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2018 25th IEEE International Conference on Image Processing (ICIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.8199999928474426,"display_name":"Peace, Justice and strong institutions","id":"https://metadata.un.org/sdg/16"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":19,"referenced_works":["https://openalex.org/W648143168","https://openalex.org/W1985436611","https://openalex.org/W2029986162","https://openalex.org/W2149481809","https://openalex.org/W2153288431","https://openalex.org/W2157285372","https://openalex.org/W2310465783","https://openalex.org/W2405756170","https://openalex.org/W2557449848","https://openalex.org/W2570189907","https://openalex.org/W2625904194","https://openalex.org/W2951523806","https://openalex.org/W2963073614","https://openalex.org/W2963267868","https://openalex.org/W2963567641","https://openalex.org/W6621378261","https://openalex.org/W6698427646","https://openalex.org/W6713645886","https://openalex.org/W6739914855"],"related_works":["https://openalex.org/W2294900353","https://openalex.org/W2411243951","https://openalex.org/W2151314278","https://openalex.org/W13629514","https://openalex.org/W1971224820","https://openalex.org/W2963977451","https://openalex.org/W2098836165","https://openalex.org/W1976890290","https://openalex.org/W4205183227","https://openalex.org/W3131224690"],"abstract_inverted_index":{"Face":[0,26],"sketch":[1,27,38,51,56,83,111,132],"is":[2,69,84,88,139,153],"the":[3,53,97,127,181],"main":[4],"approach":[5,113],"to":[6,50,72,82,90,96,130],"find":[7],"suspect":[8],"in":[9,13,37,121],"law":[10],"enforcement,":[11],"especially":[12],"many":[14],"cases":[15],"when":[16],"facial":[17,30,59],"attribute":[18,31,60,80,151],"descriptions":[19],"of":[20,55,78,101,144,183],"suspects":[21],"by":[22],"witnesses":[23],"are":[24],"available.":[25],"synthesized":[28,171],"from":[29],"text":[32,61,81,102,115,129],"can":[33],"also":[34],"be":[35],"used":[36],"based":[39],"face":[40,48,79,93,110,131,159,167],"recognition.":[41],"While":[42],"most":[43],"previous":[44],"work":[45],"focus":[46],"on":[47],"photo":[49],"synthesis,":[52],"problem":[54,68],"synthesis":[57,112],"with":[58,114,141,170],"has":[62],"not":[63],"been":[64],"explored":[65],"yet.":[66],"The":[67,134],"challenging":[70],"due":[71,95],"two":[73,122],"facts:":[74],"firstly,":[75],"no":[76],"database":[77],"available;":[85],"secondly,":[86],"it":[87],"hard":[89],"synthesize":[91,157],"high-quality":[92],"sketches":[94,160],"ambiguity":[98],"and":[99,173],"complexity":[100],"description.":[103],"In":[104],"this":[105],"paper,":[106],"we":[107,125,156],"propose":[108],"a":[109],"using":[116,161],"Stagewise-GAN.":[117,162],"Our":[118],"contributions":[119],"lie":[120],"aspects:":[123],"1)":[124],"construct":[126],"first":[128],"database.":[133],"database,":[135],"namely":[136],"Text2Sketch":[137],"dataset,":[138],"annotated":[140],"CUFSF":[142],"dataset":[143],"1194":[145],"sketches.":[146],"For":[147],"each":[148],"sketch,":[149,172],"an":[150],"description":[152],"labelled;":[154],"2)":[155],"vivid":[158],"We":[163],"use":[164],"user":[165],"study,":[166],"retrieval":[168],"performance":[169],"quantitative":[174],"results":[175,179],"for":[176],"evaluation.":[177],"Experimental":[178],"show":[180],"effectiveness":[182],"our":[184],"approach.":[185]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":2},{"year":2021,"cited_by_count":3},{"year":2020,"cited_by_count":2},{"year":2019,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}