{"id":"https://openalex.org/W4307773737","doi":"https://doi.org/10.1109/tpami.2022.3217882","title":"When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and a New Benchmark","display_name":"When Age-Invariant Face Recognition Meets Face Age Synthesis: A Multi-Task Learning Framework and a New Benchmark","publication_year":2022,"publication_date":"2022-11-04","ids":{"openalex":"https://openalex.org/W4307773737","doi":"https://doi.org/10.1109/tpami.2022.3217882","pmid":"https://pubmed.ncbi.nlm.nih.gov/36306297"},"language":"en","primary_location":{"id":"doi:10.1109/tpami.2022.3217882","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3217882","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/09931965.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"bronze","oa_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/09931965.pdf","any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5057678811","display_name":"Zhizhong Huang","orcid":"https://orcid.org/0000-0002-3581-7331"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zhizhong Huang","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","Shanghai Key Lab of Intelligent Information Processing and the School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-3581-7331","affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing and the School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100696429","display_name":"Junping Zhang","orcid":"https://orcid.org/0000-0002-5924-3360"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Junping Zhang","raw_affiliation_strings":["Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","Shanghai Key Lab of Intelligent Information Processing and the School of Computer Science, Fudan University, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-5924-3360","affiliations":[{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing, School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Key Lab of Intelligent Information Processing and the School of Computer Science, Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I24943067"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5049086157","display_name":"Hongming Shan","orcid":"https://orcid.org/0000-0002-0604-3197"},"institutions":[{"id":"https://openalex.org/I24943067","display_name":"Fudan University","ror":"https://ror.org/013q1eq08","country_code":"CN","type":"education","lineage":["https://openalex.org/I24943067"]},{"id":"https://openalex.org/I4210164150","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":"https://ror.org/0551a0y31","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210164150"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Hongming Shan","raw_affiliation_strings":["Institute of Science and Technology for Brain-inspired Intelligence and MOE Frontiers Center for Brain Science and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Ministry of Education), Fudan University, Shanghai, China","Shanghai Center for Brain Science and Brain-inspired Technology, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0002-0604-3197","affiliations":[{"raw_affiliation_string":"Institute of Science and Technology for Brain-inspired Intelligence and MOE Frontiers Center for Brain Science and Key Laboratory of Computational Neuroscience and Brain-Inspired Intelligence (Ministry of Education), Fudan University, Shanghai, China","institution_ids":["https://openalex.org/I4210164150","https://openalex.org/I24943067"]},{"raw_affiliation_string":"Shanghai Center for Brain Science and Brain-inspired Technology, Shanghai, China","institution_ids":["https://openalex.org/I4210164150"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":2,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":4.5362,"has_fulltext":true,"cited_by_count":62,"citation_normalized_percentile":{"value":0.96353016,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":89,"max":100},"biblio":{"volume":"45","issue":"6","first_page":"7917","last_page":"7932"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":1.0,"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":1.0,"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":0.9916999936103821,"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":0.9868000149726868,"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/artificial-intelligence","display_name":"Artificial intelligence","score":0.7291421294212341},{"id":"https://openalex.org/keywords/facial-recognition-system","display_name":"Facial recognition system","score":0.7136980295181274},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6476208567619324},{"id":"https://openalex.org/keywords/invariant","display_name":"Invariant (physics)","score":0.5661361217498779},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.5595255494117737},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.546116054058075},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.4910776615142822},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.4610655903816223},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45568087697029114},{"id":"https://openalex.org/keywords/face-detection","display_name":"Face detection","score":0.45084503293037415},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4102398157119751},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.41008636355400085},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.17809155583381653},{"id":"https://openalex.org/keywords/engineering","display_name":"Engineering","score":0.10518273711204529}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7291421294212341},{"id":"https://openalex.org/C31510193","wikidata":"https://www.wikidata.org/wiki/Q1192553","display_name":"Facial recognition system","level":3,"score":0.7136980295181274},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6476208567619324},{"id":"https://openalex.org/C190470478","wikidata":"https://www.wikidata.org/wiki/Q2370229","display_name":"Invariant (physics)","level":2,"score":0.5661361217498779},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.5595255494117737},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.546116054058075},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.4910776615142822},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.4610655903816223},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45568087697029114},{"id":"https://openalex.org/C4641261","wikidata":"https://www.wikidata.org/wiki/Q11681085","display_name":"Face detection","level":4,"score":0.45084503293037415},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4102398157119751},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.41008636355400085},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.17809155583381653},{"id":"https://openalex.org/C127413603","wikidata":"https://www.wikidata.org/wiki/Q11023","display_name":"Engineering","level":0,"score":0.10518273711204529},{"id":"https://openalex.org/C201995342","wikidata":"https://www.wikidata.org/wiki/Q682496","display_name":"Systems engineering","level":1,"score":0.0},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C37914503","wikidata":"https://www.wikidata.org/wiki/Q156495","display_name":"Mathematical physics","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/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0}],"mesh":[{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000066499","descriptor_name":"Facial Recognition","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D000465","descriptor_name":"Algorithms","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D002648","descriptor_name":"Child","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005145","descriptor_name":"Face","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D006801","descriptor_name":"Humans","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D007091","descriptor_name":"Image Processing, Computer-Assisted","qualifier_ui":"Q000379","qualifier_name":"methods","is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D019985","descriptor_name":"Benchmarking","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":2,"locations":[{"id":"doi:10.1109/tpami.2022.3217882","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3217882","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/09931965.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},{"id":"pmid:36306297","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/36306297","pdf_url":null,"source":{"id":"https://openalex.org/S4306525036","display_name":"PubMed","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I1299303238","host_organization_name":"National Institutes of Health","host_organization_lineage":["https://openalex.org/I1299303238"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE transactions on pattern analysis and machine intelligence","raw_type":null}],"best_oa_location":{"id":"doi:10.1109/tpami.2022.3217882","is_oa":true,"landing_page_url":"https://doi.org/10.1109/tpami.2022.3217882","pdf_url":"https://ieeexplore.ieee.org/ielx7/34/4359286/09931965.pdf","source":{"id":"https://openalex.org/S199944782","display_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","issn_l":"0162-8828","issn":["0162-8828","1939-3539","2160-9292"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310320439","host_organization_name":"IEEE Computer Society","host_organization_lineage":["https://openalex.org/P4310320439","https://openalex.org/P4310319808"],"host_organization_lineage_names":["IEEE Computer Society","Institute of Electrical and Electronics Engineers"],"type":"journal"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Transactions on Pattern Analysis and Machine Intelligence","raw_type":"journal-article"},"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/10","display_name":"Reduced inequalities","score":0.5899999737739563}],"awards":[{"id":"https://openalex.org/G2352040064","display_name":null,"funder_award_id":"62101136","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G561319225","display_name":null,"funder_award_id":"62176059","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G8899475930","display_name":null,"funder_award_id":"2018SHZDZX01","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320319772","display_name":"Shanghai Center for Brain Science and Brain-Inspired Technology","ror":null},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"}],"has_content":{"pdf":true,"grobid_xml":true},"content_urls":{"pdf":"https://content.openalex.org/works/W4307773737.pdf","grobid_xml":"https://content.openalex.org/works/W4307773737.grobid-xml"},"referenced_works_count":98,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1686810756","https://openalex.org/W1731081199","https://openalex.org/W1944092705","https://openalex.org/W1978370894","https://openalex.org/W2014102203","https://openalex.org/W2024922353","https://openalex.org/W2039140324","https://openalex.org/W2067425370","https://openalex.org/W2106488920","https://openalex.org/W2111084364","https://openalex.org/W2118664399","https://openalex.org/W2125389028","https://openalex.org/W2134113392","https://openalex.org/W2136074653","https://openalex.org/W2166939233","https://openalex.org/W2168056867","https://openalex.org/W2194775991","https://openalex.org/W2239239723","https://openalex.org/W2325939864","https://openalex.org/W2341528187","https://openalex.org/W2431335693","https://openalex.org/W2473439532","https://openalex.org/W2475287302","https://openalex.org/W2502312327","https://openalex.org/W2510725918","https://openalex.org/W2520774990","https://openalex.org/W2536692889","https://openalex.org/W2541527415","https://openalex.org/W2565639579","https://openalex.org/W2592232824","https://openalex.org/W2593414223","https://openalex.org/W2603777577","https://openalex.org/W2604117447","https://openalex.org/W2618530766","https://openalex.org/W2620200771","https://openalex.org/W2663800299","https://openalex.org/W2736494531","https://openalex.org/W2737608545","https://openalex.org/W2752782242","https://openalex.org/W2752828042","https://openalex.org/W2771116199","https://openalex.org/W2780360104","https://openalex.org/W2785678896","https://openalex.org/W2798706078","https://openalex.org/W2884585870","https://openalex.org/W2895550533","https://openalex.org/W2962679668","https://openalex.org/W2962770929","https://openalex.org/W2962785568","https://openalex.org/W2962898354","https://openalex.org/W2963073614","https://openalex.org/W2963115481","https://openalex.org/W2963391470","https://openalex.org/W2963466847","https://openalex.org/W2963671154","https://openalex.org/W2963767627","https://openalex.org/W2963839617","https://openalex.org/W2964261768","https://openalex.org/W2969985801","https://openalex.org/W2990929109","https://openalex.org/W2991591391","https://openalex.org/W2996870993","https://openalex.org/W3015407052","https://openalex.org/W3035574324","https://openalex.org/W3035693354","https://openalex.org/W3040216392","https://openalex.org/W3081414579","https://openalex.org/W3101998545","https://openalex.org/W3108243502","https://openalex.org/W3108663077","https://openalex.org/W3112848342","https://openalex.org/W3116818516","https://openalex.org/W3166596953","https://openalex.org/W3169129566","https://openalex.org/W3175713115","https://openalex.org/W3178357922","https://openalex.org/W3190205166","https://openalex.org/W3201733951","https://openalex.org/W3202129401","https://openalex.org/W3206816884","https://openalex.org/W3209319931","https://openalex.org/W4206349370","https://openalex.org/W4214588288","https://openalex.org/W4320013936","https://openalex.org/W6631190155","https://openalex.org/W6637373629","https://openalex.org/W6637618735","https://openalex.org/W6678815747","https://openalex.org/W6724804524","https://openalex.org/W6726946684","https://openalex.org/W6744072679","https://openalex.org/W6748582592","https://openalex.org/W6753412334","https://openalex.org/W6770940353","https://openalex.org/W6779253770","https://openalex.org/W6802669646","https://openalex.org/W6802739845"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2336272890","https://openalex.org/W4308999381","https://openalex.org/W4312238398","https://openalex.org/W3211418293","https://openalex.org/W4308999963","https://openalex.org/W4312081214","https://openalex.org/W4285815683","https://openalex.org/W325114128"],"abstract_inverted_index":{"To":[0],"minimize":[1],"the":[2,20,37,44,81,105,121,143,155,249],"impact":[3],"of":[4,146],"age":[5,29,33,41,144,195],"variation":[6,34],"on":[7,212,235,245],"face":[8,11,28,86,91,107,192,239,246],"recognition,":[9],"age-invariant":[10,82],"recognition":[12,59,87,240,247],"(AIFR)":[13],"extracts":[14],"identity-related":[15,83],"discriminative":[16],"features":[17,26,108],"by":[18,35],"minimizing":[19],"correlation":[21],"between":[22],"identity-":[23],"and":[24,55,113,183,187,196,199,229,254],"age-related":[25,114],"while":[27,88],"synthesis":[30,92],"(FAS)":[31],"eliminates":[32],"converting":[36],"faces":[38,148,165],"in":[39,248],"different":[40],"groups":[42],"to":[43,61,70,103,136,168,179],"same":[45],"group.":[46],"However,":[47],"AIFR":[48,171,182,228],"lacks":[49],"visual":[50],"results":[51,211],"for":[52,85,93,205,226],"model":[53,94],"interpretation":[54],"FAS":[56,167],"compromises":[57],"downstream":[58],"due":[60],"artifacts.":[62],"Therefore,":[63],"we":[64,97,129,159,185],"propose":[65,98,130],"a":[66,116,131,150,173,189,200],"unified,":[67],"multi-task":[68,157],"framework":[69],"jointly":[71],"handle":[72],"these":[73],"two":[74,110,236],"tasks,":[75],"termed":[76],"MTLFace,":[77],"which":[78,140],"can":[79,141],"learn":[80],"representation":[84],"achieving":[89],"pleasing":[90],"interpretation.":[95],"Specifically,":[96],"an":[99],"attention-based":[100],"feature":[101],"decomposition":[102],"decompose":[104],"mixed":[106],"into":[109],"uncorrelated":[111],"components-identity-":[112],"features-in":[115],"spatially":[117],"constrained":[118],"way.":[119],"Unlike":[120],"conventional":[122],"one-hot":[123],"encoding":[124],"that":[125,218],"achieves":[126],"group-level":[127],"FAS,":[128,139,184],"novel":[132,174],"identity":[133],"conditional":[134],"module":[135],"achieve":[137],"identity-level":[138],"improve":[142],"smoothness":[145],"synthesized":[147,164],"through":[149],"weight-sharing":[151],"strategy.":[152,177],"Benefiting":[153],"from":[154,166],"proposed":[156],"framework,":[158],"then":[160],"leverage":[161],"those":[162],"high-quality":[163],"further":[169,232],"boost":[170],"via":[172],"selective":[175],"fine-tuning":[176],"Furthermore,":[178],"advance":[180],"both":[181,227],"collect":[186],"release":[188],"large":[190],"cross-age":[191,215],"dataset":[193],"with":[194],"gender":[197],"annotations,":[198],"new":[201],"benchmark":[202,214],"specifically":[203],"designed":[204],"tracing":[206],"long-missing":[207],"children.":[208],"Extensive":[209],"experimental":[210],"five":[213],"datasets":[216,255],"demonstrate":[217],"MTLFace":[219,234],"yields":[220],"superior":[221],"performance":[222,244],"than":[223],"state-of-the-art":[224],"methods":[225],"FAS.":[230],"We":[231],"validate":[233],"popular":[237],"general":[238],"datasets,":[241],"obtaining":[242],"competitive":[243],"wild.":[250],"The":[251],"source":[252],"code":[253],"are":[256],"available":[257],"at":[258],"http://hzzone.github.io/MTLFace.":[259]},"counts_by_year":[{"year":2026,"cited_by_count":6},{"year":2025,"cited_by_count":19},{"year":2024,"cited_by_count":23},{"year":2023,"cited_by_count":13},{"year":2022,"cited_by_count":1}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}
