{"id":"https://openalex.org/W4414140890","doi":"https://doi.org/10.1109/icmew68306.2025.11152238","title":"Efficient Face Recognition via Representative Synthetic Data","display_name":"Efficient Face Recognition via Representative Synthetic Data","publication_year":2025,"publication_date":"2025-06-30","ids":{"openalex":"https://openalex.org/W4414140890","doi":"https://doi.org/10.1109/icmew68306.2025.11152238"},"language":"en","primary_location":{"id":"doi:10.1109/icmew68306.2025.11152238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew68306.2025.11152238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","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/A5016324512","display_name":"Chia\u2010Hsun Chang","orcid":"https://orcid.org/0000-0002-7351-8471"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ching-Hsun Chang","raw_affiliation_strings":["National Taiwan University of Science and Technology,Dept. of Mechanical Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Dept. of Mechanical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108728967","display_name":"Ming-Hao Lee","orcid":"https://orcid.org/0009-0000-5002-7891"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Ming-Hao Lee","raw_affiliation_strings":["National Taiwan University of Science and Technology,Dept. of Electrical Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Dept. of Electrical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5052282103","display_name":"Yu-Hsuan Chiu","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yu-Hsuan Chiu","raw_affiliation_strings":["National Taiwan University of Science and Technology,Dept. of Mechanical Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Dept. of Mechanical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":null,"display_name":"Yi-Min Liao","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Yi-Min Liao","raw_affiliation_strings":["National Taiwan University of Science and Technology,Dept. of Mechanical Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Dept. of Mechanical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5107772815","display_name":"Sheng-Luen Chung","orcid":null},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Sheng-Luen Chung","raw_affiliation_strings":["National Taiwan University of Science and Technology,Dept. of Electrical Engineering,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Dept. of Electrical Engineering,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5015206948","display_name":"Gee-Sern Hsu","orcid":"https://orcid.org/0000-0003-2631-0448"},"institutions":[{"id":"https://openalex.org/I154864474","display_name":"National Taiwan University of Science and Technology","ror":"https://ror.org/00q09pe49","country_code":"TW","type":"education","lineage":["https://openalex.org/I154864474"]}],"countries":["TW"],"is_corresponding":false,"raw_author_name":"Gee-Sern Hsu","raw_affiliation_strings":["National Taiwan University of Science and Technology,Dept. of Artificial Intelligence,Taipei,Taiwan"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"National Taiwan University of Science and Technology,Dept. of Artificial Intelligence,Taipei,Taiwan","institution_ids":["https://openalex.org/I154864474"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I154864474"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.19474592,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"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":0.9998999834060669,"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/T10057","display_name":"Face and Expression Recognition","score":0.9983999729156494,"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/T10627","display_name":"Advanced Image and Video Retrieval Techniques","score":0.9980000257492065,"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/synthetic-data","display_name":"Synthetic data","score":0.6876999735832214},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.6385999917984009},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5131000280380249},{"id":"https://openalex.org/keywords/base","display_name":"Base (topology)","score":0.5023999810218811},{"id":"https://openalex.org/keywords/generator","display_name":"Generator (circuit theory)","score":0.4918999969959259},{"id":"https://openalex.org/keywords/scheme","display_name":"Scheme (mathematics)","score":0.4587000012397766}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7584999799728394},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.6876999735832214},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.6385999917984009},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5591999888420105},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5131000280380249},{"id":"https://openalex.org/C42058472","wikidata":"https://www.wikidata.org/wiki/Q810214","display_name":"Base (topology)","level":2,"score":0.5023999810218811},{"id":"https://openalex.org/C2780992000","wikidata":"https://www.wikidata.org/wiki/Q17016113","display_name":"Generator (circuit theory)","level":3,"score":0.4918999969959259},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.4596000015735626},{"id":"https://openalex.org/C77618280","wikidata":"https://www.wikidata.org/wiki/Q1155772","display_name":"Scheme (mathematics)","level":2,"score":0.4587000012397766},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.45080000162124634},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3725999891757965},{"id":"https://openalex.org/C67186912","wikidata":"https://www.wikidata.org/wiki/Q367664","display_name":"Data modeling","level":2,"score":0.3319999873638153},{"id":"https://openalex.org/C133462117","wikidata":"https://www.wikidata.org/wiki/Q4929239","display_name":"Data collection","level":2,"score":0.289000004529953},{"id":"https://openalex.org/C51632099","wikidata":"https://www.wikidata.org/wiki/Q3985153","display_name":"Training set","level":2,"score":0.2782000005245209},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.2680000066757202},{"id":"https://openalex.org/C44280652","wikidata":"https://www.wikidata.org/wiki/Q104837","display_name":"Phase (matter)","level":2,"score":0.2547999918460846}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icmew68306.2025.11152238","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icmew68306.2025.11152238","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2025 IEEE International Conference on Multimedia and Expo Workshops (ICMEW)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":32,"referenced_works":["https://openalex.org/W1509966554","https://openalex.org/W2194775991","https://openalex.org/W2404498690","https://openalex.org/W2663800299","https://openalex.org/W2752828042","https://openalex.org/W2962770929","https://openalex.org/W2963839617","https://openalex.org/W2969985801","https://openalex.org/W3035574324","https://openalex.org/W3036167779","https://openalex.org/W3108663077","https://openalex.org/W3119687891","https://openalex.org/W3166396011","https://openalex.org/W3203605797","https://openalex.org/W4214588288","https://openalex.org/W4312402191","https://openalex.org/W4312933868","https://openalex.org/W4319300360","https://openalex.org/W4321020778","https://openalex.org/W4385801661","https://openalex.org/W4386083096","https://openalex.org/W4386555067","https://openalex.org/W4390872297","https://openalex.org/W4390873054","https://openalex.org/W4390873484","https://openalex.org/W4392309374","https://openalex.org/W4392411900","https://openalex.org/W4392538976","https://openalex.org/W4392903144","https://openalex.org/W4392970247","https://openalex.org/W4403795849","https://openalex.org/W4406975803"],"related_works":["https://openalex.org/W3188962172","https://openalex.org/W2772917594","https://openalex.org/W4312825515","https://openalex.org/W4306742369","https://openalex.org/W2033914206","https://openalex.org/W2042327336","https://openalex.org/W2116423617","https://openalex.org/W2347824352","https://openalex.org/W2112875849","https://openalex.org/W2384651879"],"abstract_inverted_index":{"While":[0],"face":[1,46,140],"recognition":[2,47,141],"has":[3],"progressed":[4],"with":[5,48,74],"better":[6],"architectures,":[7],"loss":[8],"functions,":[9],"and":[10,17,30,36,61,82,92,124,134],"datasets,":[11],"issues":[12],"like":[13],"label":[14],"noise,":[15],"privacy,":[16],"imbalance":[18],"remain.":[19],"Synthetic":[20],"datasets":[21,58],"address":[22],"these":[23],"challenges":[24],"by":[25,122],"allowing":[26],"controlled":[27],"attribute":[28],"manipulation":[29],"reducing":[31],"both":[32],"data":[33,120,132],"collection":[34],"costs":[35,136],"privacy":[37],"risks.":[38],"We":[39],"propose":[40],"a":[41,54],"two-phase":[42],"approach":[43],"to":[44,70,96,113],"enhance":[45],"synthetic":[49,99,119],"data.":[50],"Phase":[51,84],"1":[52],"builds":[53],"base":[55,111],"model":[56,112],"using":[57,109],"from":[59,117],"DCFace":[60,81],"CemiFace,":[62],"while":[63,137],"simulating":[64],"the":[65,87,110,118],"intra-class":[66],"distribution":[67],"of":[68],"CASIA-WebFace":[69],"achieve":[71],"competitive":[72],"performance":[73],"just":[75],"0.16M":[76],"images,":[77],"versus":[78],"0.55M":[79],"for":[80,126],"CemiFace.":[83],"2":[85],"leverages":[86],"Source":[88],"Face":[89],"Generator":[90],"(SFG)":[91],"Style-Transfer":[93],"Diffusion":[94],"(STD)":[95],"generate":[97],"high-quality":[98],"faces.":[100],"Find":[101],"Representative":[102],"Samples":[103],"(FRS)":[104],"scheme":[105],"is":[106],"then":[107],"proposed,":[108],"select":[114],"representative":[115],"samples":[116],"produced":[121],"SFG":[123],"STD":[125],"training.":[127],"Our":[128],"method":[129],"efficiently":[130],"reduces":[131],"requirements":[133],"computational":[135],"achieving":[138],"state-of-the-art":[139],"performance.":[142]},"counts_by_year":[],"updated_date":"2026-06-26T08:34:08.712188","created_date":"2025-10-10T00:00:00"}