{"id":"https://openalex.org/W2563106798","doi":"https://doi.org/10.1109/euvip.2016.7764603","title":"Reverse facial ageing model for youthful appearance restoration from adult face images","display_name":"Reverse facial ageing model for youthful appearance restoration from adult face images","publication_year":2016,"publication_date":"2016-10-01","ids":{"openalex":"https://openalex.org/W2563106798","doi":"https://doi.org/10.1109/euvip.2016.7764603","mag":"2563106798"},"language":"en","primary_location":{"id":"doi:10.1109/euvip.2016.7764603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2016.7764603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"},"type":"preprint","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/A5041969038","display_name":"Elham Farazdaghi","orcid":"https://orcid.org/0000-0001-9935-1553"},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Elham Farazdaghi","raw_affiliation_strings":["Laboratoire Images, Signaux et Syst\u00e8mes Intelligents (LISSI), Universit\u00e9 Paris-EST, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Images, Signaux et Syst\u00e8mes Intelligents (LISSI), Universit\u00e9 Paris-EST, France","institution_ids":["https://openalex.org/I2800365227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5046866995","display_name":"Farnaz Majid Zadeh Heravi","orcid":null},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Farnaz Majid Zadeh Heravi","raw_affiliation_strings":["Universite Paris-Est, Marne-la-Vallee, \u00c3\u017dle-de-France, FR"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Universite Paris-Est, Marne-la-Vallee, \u00c3\u017dle-de-France, FR","institution_ids":["https://openalex.org/I2800365227"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034280318","display_name":"Laurent Chatelain","orcid":null},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Laurent Chatelain","raw_affiliation_strings":["Faculty of science and technology, Universit\u00e9 Paris-EST, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Faculty of science and technology, Universit\u00e9 Paris-EST, France","institution_ids":["https://openalex.org/I2800365227"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5106793186","display_name":"Amine Na\u00eft\u2010Ali","orcid":"https://orcid.org/0000-0002-5490-9215"},"institutions":[{"id":"https://openalex.org/I2800365227","display_name":"Paris-Est Sup","ror":"https://ror.org/0268ecp52","country_code":"FR","type":"education","lineage":["https://openalex.org/I2800365227"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Amine NAIT-ALI","raw_affiliation_strings":["Laboratoire Images, Signaux et Syst\u00e8mes Intelligents (LISSI), Universit\u00e9 Paris-EST, France"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Laboratoire Images, Signaux et Syst\u00e8mes Intelligents (LISSI), Universit\u00e9 Paris-EST, France","institution_ids":["https://openalex.org/I2800365227"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.507,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.74257833,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":"32","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/T10775","display_name":"Generative Adversarial Networks and Image Synthesis","score":0.9902999997138977,"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/T11322","display_name":"Facial Rejuvenation and Surgery Techniques","score":0.9902999997138977,"subfield":{"id":"https://openalex.org/subfields/2708","display_name":"Dermatology"},"field":{"id":"https://openalex.org/fields/27","display_name":"Medicine"},"domain":{"id":"https://openalex.org/domains/4","display_name":"Health Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.8091735243797302},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6767458915710449},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.623846709728241},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.5582964420318604},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5061749815940857},{"id":"https://openalex.org/keywords/active-appearance-model","display_name":"Active appearance model","score":0.504414439201355},{"id":"https://openalex.org/keywords/texture","display_name":"Texture (cosmology)","score":0.4393794536590576},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.3932220935821533},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.36112314462661743},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.23562189936637878}],"concepts":[{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.8091735243797302},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6767458915710449},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.623846709728241},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.5582964420318604},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5061749815940857},{"id":"https://openalex.org/C83248878","wikidata":"https://www.wikidata.org/wiki/Q344000","display_name":"Active appearance model","level":3,"score":0.504414439201355},{"id":"https://openalex.org/C2781195486","wikidata":"https://www.wikidata.org/wiki/Q289436","display_name":"Texture (cosmology)","level":3,"score":0.4393794536590576},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.3932220935821533},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.36112314462661743},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.23562189936637878},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/euvip.2016.7764603","is_oa":false,"landing_page_url":"https://doi.org/10.1109/euvip.2016.7764603","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2016 6th European Workshop on Visual Information Processing (EUVIP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Sustainable cities and communities","score":0.6399999856948853,"id":"https://metadata.un.org/sdg/11"}],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":24,"referenced_works":["https://openalex.org/W568921399","https://openalex.org/W1504795754","https://openalex.org/W1964522973","https://openalex.org/W1978370894","https://openalex.org/W1984813860","https://openalex.org/W2015475217","https://openalex.org/W2020447345","https://openalex.org/W2052813747","https://openalex.org/W2090929998","https://openalex.org/W2097299523","https://openalex.org/W2097711399","https://openalex.org/W2111306375","https://openalex.org/W2123497994","https://openalex.org/W2123981281","https://openalex.org/W2128409098","https://openalex.org/W2134113392","https://openalex.org/W2143151905","https://openalex.org/W2152679347","https://openalex.org/W2152826865","https://openalex.org/W2153597279","https://openalex.org/W2163998463","https://openalex.org/W2164852755","https://openalex.org/W2541527415","https://openalex.org/W4245432128"],"related_works":["https://openalex.org/W2002136628","https://openalex.org/W2166802793","https://openalex.org/W1560144479","https://openalex.org/W1981324031","https://openalex.org/W1605318399","https://openalex.org/W2171262059","https://openalex.org/W2384651879","https://openalex.org/W2108699977","https://openalex.org/W2357921963","https://openalex.org/W2039919750"],"abstract_inverted_index":{"Dealing":[0],"with":[1,11,31],"a":[2,40,71,84],"reliable":[3],"face-ageing":[4],"model":[5,41],"has":[6],"been":[7,110],"an":[8,76],"interesting":[9],"topic":[10],"many":[12],"envisioned":[13],"applications":[14],"such":[15],"as":[16],"those":[17],"are":[18],"related":[19],"to":[20,25,51,75,101],"investigation":[21],"and":[22,98],"forensics.":[23],"Contrary":[24],"most":[26,106],"previous":[27],"works":[28],"which":[29,112],"deal":[30],"predictive":[32],"face":[33,66,73,90],"models,":[34],"in":[35,47,54],"this":[36,61],"work,":[37],"we":[38],"propose":[39],"that":[42],"can":[43],"estimate":[44],"one\u2019s":[45],"appearance":[46],"his":[48],"youth":[49,65],"down":[50],"it":[52],"being":[53],"the":[55,64,103],"age":[56],"of":[57,87],"3-4":[58],"years.":[59],"In":[60],"proposed":[62],"approach,":[63],"is":[67,81],"estimated":[68,77],"by":[69],"mapping":[70],"reference":[72],"texture":[74],"geometrical":[78],"model.":[79],"This":[80],"demonstrated":[82],"on":[83],"created":[85],"database":[86],"34":[88],"adult":[89],"images.":[91],"We":[92],"have":[93,109],"then":[94],"used":[95],"two":[96],"subjective":[97],"objective":[99],"criteria":[100],"evaluate":[102],"results.":[104],"The":[105],"promising":[107],"results":[108],"achieved":[111],"will":[113],"be":[114],"presented":[115],"afterwards.":[116]},"counts_by_year":[{"year":2018,"cited_by_count":1},{"year":2017,"cited_by_count":1},{"year":2016,"cited_by_count":1}],"updated_date":"2026-06-11T09:08:48.828518","created_date":"2025-10-10T00:00:00"}
