{"id":"https://openalex.org/W2978153691","doi":"https://doi.org/10.1109/ijcnn.2019.8851753","title":"Face Age Transformation with Progressive Residual Adversarial Autoencoder","display_name":"Face Age Transformation with Progressive Residual Adversarial Autoencoder","publication_year":2019,"publication_date":"2019-07-01","ids":{"openalex":"https://openalex.org/W2978153691","doi":"https://doi.org/10.1109/ijcnn.2019.8851753","mag":"2978153691"},"language":"en","primary_location":{"id":"doi:10.1109/ijcnn.2019.8851753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","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/A5101696136","display_name":"Xuexiang Zhang","orcid":"https://orcid.org/0000-0001-7233-979X"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xuexiang Zhang","raw_affiliation_strings":["Xi\u2019an Jiaotong University, Xi\u2019an, China","Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101947241","display_name":"Ping Wei","orcid":"https://orcid.org/0000-0002-8535-9527"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Ping Wei","raw_affiliation_strings":["Xi\u2019an Jiaotong University, Xi\u2019an, China","Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5047405956","display_name":"Nanning Zheng","orcid":"https://orcid.org/0000-0003-1608-8257"},"institutions":[{"id":"https://openalex.org/I87445476","display_name":"Xi'an Jiaotong University","ror":"https://ror.org/017zhmm22","country_code":"CN","type":"education","lineage":["https://openalex.org/I87445476"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Nanning Zheng","raw_affiliation_strings":["Xi\u2019an Jiaotong University, Xi\u2019an, China","Xi'an Jiaotong University, Xi'an, China"],"affiliations":[{"raw_affiliation_string":"Xi\u2019an Jiaotong University, Xi\u2019an, China","institution_ids":["https://openalex.org/I87445476"]},{"raw_affiliation_string":"Xi'an Jiaotong University, Xi'an, China","institution_ids":["https://openalex.org/I87445476"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101696136"],"corresponding_institution_ids":["https://openalex.org/I87445476"],"apc_list":null,"apc_paid":null,"fwci":0.2024,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.54293655,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":"32","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":0.9998999834060669,"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":0.9990000128746033,"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/T11105","display_name":"Advanced Image Processing Techniques","score":0.9754999876022339,"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/autoencoder","display_name":"Autoencoder","score":0.8431398272514343},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.7468193769454956},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.7429684400558472},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6890990734100342},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.627705454826355},{"id":"https://openalex.org/keywords/transformation","display_name":"Transformation (genetics)","score":0.5882660746574402},{"id":"https://openalex.org/keywords/encoding","display_name":"Encoding (memory)","score":0.5158035755157471},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.45054328441619873},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.42520707845687866},{"id":"https://openalex.org/keywords/speech-recognition","display_name":"Speech recognition","score":0.32101544737815857},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.2552483081817627},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.16855469346046448}],"concepts":[{"id":"https://openalex.org/C101738243","wikidata":"https://www.wikidata.org/wiki/Q786435","display_name":"Autoencoder","level":3,"score":0.8431398272514343},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.7468193769454956},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.7429684400558472},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6890990734100342},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.627705454826355},{"id":"https://openalex.org/C204241405","wikidata":"https://www.wikidata.org/wiki/Q461499","display_name":"Transformation (genetics)","level":3,"score":0.5882660746574402},{"id":"https://openalex.org/C125411270","wikidata":"https://www.wikidata.org/wiki/Q18653","display_name":"Encoding (memory)","level":2,"score":0.5158035755157471},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.45054328441619873},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.42520707845687866},{"id":"https://openalex.org/C28490314","wikidata":"https://www.wikidata.org/wiki/Q189436","display_name":"Speech recognition","level":1,"score":0.32101544737815857},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.2552483081817627},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.16855469346046448},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","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},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcnn.2019.8851753","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcnn.2019.8851753","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 International Joint Conference on Neural Networks (IJCNN)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"score":0.7200000286102295,"display_name":"Reduced inequalities","id":"https://metadata.un.org/sdg/10"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":49,"referenced_works":["https://openalex.org/W126027164","https://openalex.org/W1563722218","https://openalex.org/W1772300941","https://openalex.org/W1965804146","https://openalex.org/W1978370894","https://openalex.org/W2039140324","https://openalex.org/W2099471712","https://openalex.org/W2100843223","https://openalex.org/W2112824900","https://openalex.org/W2123497994","https://openalex.org/W2125389028","https://openalex.org/W2134113392","https://openalex.org/W2135413373","https://openalex.org/W2152679347","https://openalex.org/W2153735963","https://openalex.org/W2325939864","https://openalex.org/W2473439532","https://openalex.org/W2570209678","https://openalex.org/W2587706859","https://openalex.org/W2592232824","https://openalex.org/W2770511803","https://openalex.org/W2796731119","https://openalex.org/W2962757337","https://openalex.org/W2962760235","https://openalex.org/W2962879692","https://openalex.org/W2963226019","https://openalex.org/W2963391470","https://openalex.org/W2963584589","https://openalex.org/W2963684088","https://openalex.org/W2963800716","https://openalex.org/W2964213118","https://openalex.org/W2964295764","https://openalex.org/W4293568373","https://openalex.org/W4294643831","https://openalex.org/W4295521014","https://openalex.org/W4320013936","https://openalex.org/W6678815747","https://openalex.org/W6685352114","https://openalex.org/W6700903540","https://openalex.org/W6718140377","https://openalex.org/W6735913928","https://openalex.org/W6745560452","https://openalex.org/W6745911876","https://openalex.org/W6746139692","https://openalex.org/W6746217561","https://openalex.org/W6747906961","https://openalex.org/W6779669310","https://openalex.org/W6780248173","https://openalex.org/W7053532803"],"related_works":["https://openalex.org/W3013693939","https://openalex.org/W2159052453","https://openalex.org/W2566616303","https://openalex.org/W3131327266","https://openalex.org/W2734887215","https://openalex.org/W4297051394","https://openalex.org/W2752972570","https://openalex.org/W4386815338","https://openalex.org/W2145836866","https://openalex.org/W2803255133"],"abstract_inverted_index":{"Face":[0],"age":[1,35,54,87,140],"transformation":[2],"is":[3,89],"an":[4,57],"important":[5],"issue":[6],"in":[7,138],"many":[8],"applications.":[9],"While":[10],"unidirectional":[11],"and":[12,29,51,74,84,105,133,149],"short-span":[13],"face":[14,31,53,59,66,103,108,139],"ageing":[15],"has":[16],"achieved":[17],"remarkable":[18],"progress,":[19],"it":[20],"remains":[21],"a":[22,42,96,115],"challenging":[23,147],"problem":[24],"to":[25,64,119],"generate":[26],"both":[27,129],"younger-look":[28],"older-look":[30],"images":[32,67,104,109],"over":[33],"long":[34],"span.":[36],"In":[37],"this":[38],"paper,":[39],"we":[40],"present":[41],"progressive":[43,116],"residual":[44,107],"adversarial":[45,82],"autoencoder":[46],"(PRAA)":[47],"model":[48,62,126,145],"for":[49],"bidirectional":[50],"long-span":[52],"transformation.":[55,141],"Given":[56],"input":[58],"image,":[60],"our":[61,125,144,157],"aims":[63],"synthesize":[65],"of":[68,156],"its":[69],"younger":[70],"looks":[71,76],"(face":[72,77],"rejuvenation)":[73],"older":[75],"ageing).":[78],"The":[79],"PRAA":[80],"contains":[81],"generators":[83],"discriminators":[85],"where":[86],"information":[88],"encoded":[90],"as":[91],"latent":[92],"features.":[93],"It":[94],"adopts":[95],"residual-encoding":[97],"strategy":[98],"by":[99,123],"which":[100,124],"the":[101,106,121,130,134,150,154],"original":[102],"are":[110],"jointly":[111],"encoded.":[112],"We":[113,142],"adopt":[114],"multi-scale":[117],"method":[118],"train":[120],"network,":[122],"can":[127],"capture":[128],"global":[131],"structure":[132],"local":[135],"detail":[136],"changes":[137],"test":[143],"on":[146],"data":[148],"experimental":[151],"results":[152],"prove":[153],"strength":[155],"method.":[158]},"counts_by_year":[{"year":2023,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
