{"id":"https://openalex.org/W3183222862","doi":"https://doi.org/10.1109/ijcb52358.2021.9484329","title":"Child Face Age Progression and Regression using Self-Attention Multi-Scale Patch GAN","display_name":"Child Face Age Progression and Regression using Self-Attention Multi-Scale Patch GAN","publication_year":2021,"publication_date":"2021-07-20","ids":{"openalex":"https://openalex.org/W3183222862","doi":"https://doi.org/10.1109/ijcb52358.2021.9484329","mag":"3183222862"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb52358.2021.9484329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb52358.2021.9484329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Joint Conference on Biometrics (IJCB)","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/A5028144905","display_name":"Praveen Kumar Chandaliya","orcid":"https://orcid.org/0000-0003-3229-2637"},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":true,"raw_author_name":"Praveen Kumar Chandaliya","raw_affiliation_strings":["Malaviya National Institute of Technology, Jaipur, Rajasthan, India"],"affiliations":[{"raw_affiliation_string":"Malaviya National Institute of Technology, Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I83205935"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050462733","display_name":"Neeta Nain","orcid":"https://orcid.org/0000-0002-0550-0376"},"institutions":[{"id":"https://openalex.org/I83205935","display_name":"Malaviya National Institute of Technology Jaipur","ror":"https://ror.org/0077k1j32","country_code":"IN","type":"education","lineage":["https://openalex.org/I83205935"]}],"countries":["IN"],"is_corresponding":false,"raw_author_name":"Neeta Nain","raw_affiliation_strings":["Malaviya National Institute of Technology, Jaipur, Rajasthan, India"],"affiliations":[{"raw_affiliation_string":"Malaviya National Institute of Technology, Jaipur, Rajasthan, India","institution_ids":["https://openalex.org/I83205935"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":["https://openalex.org/A5028144905"],"corresponding_institution_ids":["https://openalex.org/I83205935"],"apc_list":null,"apc_paid":null,"fwci":0.7685,"has_fulltext":false,"cited_by_count":11,"citation_normalized_percentile":{"value":0.73416667,"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":"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":0.9919999837875366,"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":0.9807000160217285,"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/scale","display_name":"Scale (ratio)","score":0.5518596172332764},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5473201870918274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.49524274468421936},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.10175538063049316}],"concepts":[{"id":"https://openalex.org/C2778755073","wikidata":"https://www.wikidata.org/wiki/Q10858537","display_name":"Scale (ratio)","level":2,"score":0.5518596172332764},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5473201870918274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.49524274468421936},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.10175538063049316},{"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},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb52358.2021.9484329","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb52358.2021.9484329","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","score":0.6899999976158142,"display_name":"Reduced inequalities"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":50,"referenced_works":["https://openalex.org/W2096733369","https://openalex.org/W2099471712","https://openalex.org/W2125389028","https://openalex.org/W2163605009","https://openalex.org/W2341528187","https://openalex.org/W2515770085","https://openalex.org/W2552611751","https://openalex.org/W2587706859","https://openalex.org/W2592232824","https://openalex.org/W2593414223","https://openalex.org/W2611104282","https://openalex.org/W2761562924","https://openalex.org/W2797251890","https://openalex.org/W2798706078","https://openalex.org/W2804078698","https://openalex.org/W2807744618","https://openalex.org/W2883608858","https://openalex.org/W2886743651","https://openalex.org/W2902883919","https://openalex.org/W2952419167","https://openalex.org/W2962793481","https://openalex.org/W2963073614","https://openalex.org/W2963089432","https://openalex.org/W2963391470","https://openalex.org/W2963767194","https://openalex.org/W2963800363","https://openalex.org/W2963839617","https://openalex.org/W2963917315","https://openalex.org/W2964150091","https://openalex.org/W2969985801","https://openalex.org/W2984006054","https://openalex.org/W3006021334","https://openalex.org/W3007646528","https://openalex.org/W3034217208","https://openalex.org/W3092869826","https://openalex.org/W3099206234","https://openalex.org/W3101998545","https://openalex.org/W3160000035","https://openalex.org/W4238768900","https://openalex.org/W4320013936","https://openalex.org/W6678815747","https://openalex.org/W6684191040","https://openalex.org/W6726453277","https://openalex.org/W6729939709","https://openalex.org/W6745571688","https://openalex.org/W6751088552","https://openalex.org/W6752378368","https://openalex.org/W6753168863","https://openalex.org/W6778797767","https://openalex.org/W6795199231"],"related_works":["https://openalex.org/W4391375266","https://openalex.org/W2748952813","https://openalex.org/W2390279801","https://openalex.org/W2358668433","https://openalex.org/W4396701345","https://openalex.org/W2376932109","https://openalex.org/W2001405890","https://openalex.org/W4396696052","https://openalex.org/W4402327032","https://openalex.org/W2382290278"],"abstract_inverted_index":{"Face":[0],"age":[1,40,83,181],"progression":[2,41],"and":[3,31,42,47,70,128,166,180],"regression":[4],"have":[5],"accumulated":[6],"significant":[7],"dynamic":[8],"research":[9],"enthusiasm":[10],"because":[11],"of":[12,20,38,104,135,175],"its":[13],"gigantic":[14],"effect":[15],"on":[16,56,183],"a":[17,66,87,136],"wide":[18],"scope":[19],"handy":[21],"applications":[22],"including":[23],"finding":[24],"lost/wanted":[25],"persons,":[26],"cross-age":[27],"face":[28,39,68,76,176],"recognition,":[29],"amusement,":[30],"cosmetic":[32],"studies.":[33],"The":[34,50],"two":[35],"primary":[36],"necessities":[37],"regression,":[43],"are":[44],"identity":[45],"preservation":[46],"aging":[48],"exactitude.":[49],"existing":[51],"state-of-the-art":[52,171],"frameworks":[53],"mostly":[54],"focus":[55],"adult":[57],"or":[58],"long-span":[59],"aging.":[60],"In":[61],"this":[62],"work,":[63],"we":[64,85,119,140],"propose":[65],"child":[67,82],"age-progress":[69],"regress":[71],"framework":[72],"that":[73],"generates":[74],"photo-realistic":[75],"images":[77],"with":[78],"preserved":[79],"identity.To":[80],"facilitate":[81],"synthesis,":[84],"apply":[86],"multi-scale":[88,158],"patch":[89,159],"discriminator":[90],"learning":[91,110],"strategy":[92],"for":[93,115],"training":[94],"conditional":[95],"generative":[96,146],"adversarial":[97,147],"nets":[98,148],"(cGAN)":[99],"which":[100],"in-creases":[101],"the":[102,105,109,116,170],"stability":[103],"discriminator,":[106],"thereby":[107],"making":[108],"task":[111],"progressively":[112],"more":[113],"difficult":[114],"generator.":[117],"Moreover,":[118],"also":[120],"introduce":[121],"Self-Attention":[122,143],"Block":[123],"(SAB)":[124],"to":[125],"learn":[126],"global":[127],"long-term":[129],"dependencies":[130],"within":[131],"an":[132],"internal":[133],"representation":[134],"child\u2019s":[137],"face.":[138],"Thus,":[139],"present":[141],"coarse-to-fine":[142],"Multi-Scale":[144],"Patch":[145],"(SAMSP-GAN)":[149],"model.":[150],"Our":[151],"new":[152],"objective":[153],"function,":[154],"as":[155,157],"well":[156],"discrimination":[160],"and,":[161],"has":[162],"shown":[163],"both":[164],"qualitative":[165],"quantitative":[167],"improvements":[168],"over":[169],"approaches":[172],"in":[173],"terms":[174],"verification,":[177],"rank-1":[178],"identification,":[179],"estimation":[182],"benchmarked":[184],"children":[185],"datasets.":[186]},"counts_by_year":[{"year":2025,"cited_by_count":3},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":2},{"year":2022,"cited_by_count":4}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}
