{"id":"https://openalex.org/W3010639911","doi":"https://doi.org/10.1109/icsai48974.2019.9010229","title":"Age-invariant Face Recognition Based on Sample Enhancement of Generative Adversarial Networks","display_name":"Age-invariant Face Recognition Based on Sample Enhancement of Generative Adversarial Networks","publication_year":2019,"publication_date":"2019-11-01","ids":{"openalex":"https://openalex.org/W3010639911","doi":"https://doi.org/10.1109/icsai48974.2019.9010229","mag":"3010639911"},"language":"en","primary_location":{"id":"doi:10.1109/icsai48974.2019.9010229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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/A5101582882","display_name":"Siyao Chen","orcid":"https://orcid.org/0000-0002-0510-2116"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Siyao Chen","raw_affiliation_strings":["College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108098925","display_name":"Dongping Zhang","orcid":"https://orcid.org/0000-0001-6743-8945"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongping Zhang","raw_affiliation_strings":["College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100645665","display_name":"Li Yang","orcid":"https://orcid.org/0000-0002-1889-3113"},"institutions":[{"id":"https://openalex.org/I55538621","display_name":"China Jiliang University","ror":"https://ror.org/05v1y0t93","country_code":"CN","type":"education","lineage":["https://openalex.org/I55538621"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Li Yang","raw_affiliation_strings":["College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"College of Information Engineering, China Jiliang University, CJLU, Hangzhou, China","institution_ids":["https://openalex.org/I55538621"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5021641125","display_name":"Ping Chen","orcid":"https://orcid.org/0000-0003-0684-9665"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Ping Chen","raw_affiliation_strings":["Zhejiang Provincial Testing Institute of Electronic Information Products, Hangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Zhejiang Provincial Testing Institute of Electronic Information Products, Hangzhou, China","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":8,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"388","last_page":"392"},"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":0.9889000058174133,"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/T10828","display_name":"Biometric Identification and Security","score":0.9779000282287598,"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/invariant","display_name":"Invariant (physics)","score":0.7904902100563049},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7491246461868286},{"id":"https://openalex.org/keywords/generative-grammar","display_name":"Generative grammar","score":0.6828028559684753},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6505864858627319},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.649013102054596},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.6083881855010986},{"id":"https://openalex.org/keywords/generative-adversarial-network","display_name":"Generative adversarial network","score":0.6044593453407288},{"id":"https://openalex.org/keywords/adversarial-system","display_name":"Adversarial system","score":0.5516241788864136},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5365851521492004},{"id":"https://openalex.org/keywords/generative-model","display_name":"Generative model","score":0.5060476660728455},{"id":"https://openalex.org/keywords/sample","display_name":"Sample (material)","score":0.4164556860923767},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.38415828347206116},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.2140633761882782},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.17355996370315552}],"concepts":[{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.7904902100563049},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7491246461868286},{"id":"https://openalex.org/C39890363","wikidata":"https://www.wikidata.org/wiki/Q36108","display_name":"Generative grammar","level":2,"score":0.6828028559684753},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6505864858627319},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.649013102054596},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.6083881855010986},{"id":"https://openalex.org/C2988773926","wikidata":"https://www.wikidata.org/wiki/Q25104379","display_name":"Generative adversarial network","level":3,"score":0.6044593453407288},{"id":"https://openalex.org/C37736160","wikidata":"https://www.wikidata.org/wiki/Q1801315","display_name":"Adversarial system","level":2,"score":0.5516241788864136},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5365851521492004},{"id":"https://openalex.org/C167966045","wikidata":"https://www.wikidata.org/wiki/Q5532625","display_name":"Generative model","level":3,"score":0.5060476660728455},{"id":"https://openalex.org/C198531522","wikidata":"https://www.wikidata.org/wiki/Q485146","display_name":"Sample (material)","level":2,"score":0.4164556860923767},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.38415828347206116},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.2140633761882782},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.17355996370315552},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C43617362","wikidata":"https://www.wikidata.org/wiki/Q170050","display_name":"Chromatography","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icsai48974.2019.9010229","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icsai48974.2019.9010229","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 6th International Conference on Systems and Informatics (ICSAI)","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":24,"referenced_works":["https://openalex.org/W1509966554","https://openalex.org/W1782590233","https://openalex.org/W1944092705","https://openalex.org/W2067425370","https://openalex.org/W2111084364","https://openalex.org/W2114588272","https://openalex.org/W2145287260","https://openalex.org/W2163626514","https://openalex.org/W2168056867","https://openalex.org/W2173520492","https://openalex.org/W2289994841","https://openalex.org/W2431335693","https://openalex.org/W2546066744","https://openalex.org/W2765635051","https://openalex.org/W2784163702","https://openalex.org/W2798706078","https://openalex.org/W2963391470","https://openalex.org/W2963466847","https://openalex.org/W2963684088","https://openalex.org/W3103152812","https://openalex.org/W4320013936","https://openalex.org/W6630649318","https://openalex.org/W6685352114","https://openalex.org/W6729001083"],"related_works":["https://openalex.org/W4365211920","https://openalex.org/W3014948380","https://openalex.org/W2888032422","https://openalex.org/W4380551139","https://openalex.org/W4317695495","https://openalex.org/W4287117424","https://openalex.org/W4387506531","https://openalex.org/W4238433571","https://openalex.org/W2967848559","https://openalex.org/W4385421777"],"abstract_inverted_index":{"Age-invariant":[0],"face":[1,17,51],"recognition":[2,52,67],"is":[3,12,57],"very":[4],"challenging.":[5],"To":[6],"solve":[7],"the":[8,20,33],"problem":[9],"that":[10],"it":[11],"difficult":[13],"to":[14,26,31,48],"collect":[15],"cross-age":[16],"data":[18,40,47,73,82],"of":[19],"same":[21,34],"person,":[22],"this":[23],"paper":[24],"proposes":[25],"use":[27,45],"generative":[28],"adversarial":[29],"networks":[30],"generate":[32],"person's":[35],"young":[36],"and":[37,44,64,75],"elderly":[38],"age":[39],"for":[41],"sample":[42],"enhancement,":[43],"these":[46],"train":[49],"age-invariant":[50],"model.":[53],"The":[54],"proposed":[55],"method":[56],"verified":[58],"on":[59,71,80],"public":[60],"face-aging":[61],"datasets:":[62],"FGNET":[63,72],"CADA-VS.":[65],"Rank-1":[66],"rates":[68],"reaches":[69,78],"85.04%":[70],"sets":[74],"verification":[76],"accuracies":[77],"96.99%":[79],"CADA-VS":[81],"sets.":[83]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":3},{"year":2023,"cited_by_count":2},{"year":2021,"cited_by_count":1},{"year":2020,"cited_by_count":1}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}