{"id":"https://openalex.org/W3163417319","doi":"https://doi.org/10.1109/icassp39728.2021.9414529","title":"Towards Efficient Age Estimation by Embedding Potential Gender Features","display_name":"Towards Efficient Age Estimation by Embedding Potential Gender Features","publication_year":2021,"publication_date":"2021-05-13","ids":{"openalex":"https://openalex.org/W3163417319","doi":"https://doi.org/10.1109/icassp39728.2021.9414529","mag":"3163417319"},"language":"en","primary_location":{"id":"doi:10.1109/icassp39728.2021.9414529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","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/A5063129160","display_name":"Yulan Deng","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yulan Deng","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101726684","display_name":"Lunke Fei","orcid":"https://orcid.org/0000-0001-6072-7875"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lunke Fei","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5003969171","display_name":"Shaohua Teng","orcid":"https://orcid.org/0000-0002-7204-1288"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shaohua Teng","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5109156232","display_name":"Wei Zhang","orcid":"https://orcid.org/0009-0003-9826-9883"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Wei Zhang","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5064159741","display_name":"Dongning Liu","orcid":"https://orcid.org/0000-0003-3588-5833"},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Dongning Liu","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5100564217","display_name":"Yan Hou","orcid":null},"institutions":[{"id":"https://openalex.org/I139024713","display_name":"Guangdong University of Technology","ror":"https://ror.org/04azbjn80","country_code":"CN","type":"education","lineage":["https://openalex.org/I139024713"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yan Hou","raw_affiliation_strings":["School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"School of Computer Science and Technology, Guangdong University of Technology, Guangzhou, China","institution_ids":["https://openalex.org/I139024713"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":1,"corresponding_author_ids":[],"corresponding_institution_ids":["https://openalex.org/I139024713"],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"2850","last_page":"2854"},"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/T10331","display_name":"Video Surveillance and Tracking Methods","score":0.9901000261306763,"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":0.983299970626831,"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/computer-science","display_name":"Computer science","score":0.7303809523582458},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.7048744559288025},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.6725430488586426},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6620429754257202},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.6497604846954346},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6343522071838379},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.5713109970092773},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.5679759383201599},{"id":"https://openalex.org/keywords/demographics","display_name":"Demographics","score":0.4876784086227417},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.45059734582901},{"id":"https://openalex.org/keywords/function","display_name":"Function (biology)","score":0.4474956691265106},{"id":"https://openalex.org/keywords/regression","display_name":"Regression","score":0.43587690591812134},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.3921772539615631},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.36024749279022217},{"id":"https://openalex.org/keywords/statistics","display_name":"Statistics","score":0.13909801840782166},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.13392361998558044}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7303809523582458},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.7048744559288025},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.6725430488586426},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6620429754257202},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.6497604846954346},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6343522071838379},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.5713109970092773},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.5679759383201599},{"id":"https://openalex.org/C2780084366","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demographics","level":2,"score":0.4876784086227417},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.45059734582901},{"id":"https://openalex.org/C14036430","wikidata":"https://www.wikidata.org/wiki/Q3736076","display_name":"Function (biology)","level":2,"score":0.4474956691265106},{"id":"https://openalex.org/C83546350","wikidata":"https://www.wikidata.org/wiki/Q1139051","display_name":"Regression","level":2,"score":0.43587690591812134},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.3921772539615631},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.36024749279022217},{"id":"https://openalex.org/C105795698","wikidata":"https://www.wikidata.org/wiki/Q12483","display_name":"Statistics","level":1,"score":0.13909801840782166},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.13392361998558044},{"id":"https://openalex.org/C149923435","wikidata":"https://www.wikidata.org/wiki/Q37732","display_name":"Demography","level":1,"score":0.0},{"id":"https://openalex.org/C86803240","wikidata":"https://www.wikidata.org/wiki/Q420","display_name":"Biology","level":0,"score":0.0},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C78458016","wikidata":"https://www.wikidata.org/wiki/Q840400","display_name":"Evolutionary biology","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/C187736073","wikidata":"https://www.wikidata.org/wiki/Q2920921","display_name":"Management","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/icassp39728.2021.9414529","is_oa":false,"landing_page_url":"https://doi.org/10.1109/icassp39728.2021.9414529","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"ICASSP 2021 - 2021 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"id":"https://metadata.un.org/sdg/4","score":0.5299999713897705,"display_name":"Quality Education"}],"awards":[],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321921","display_name":"Natural Science Foundation of Guangdong Province","ror":null},{"id":"https://openalex.org/F4320337504","display_name":"Research and Development","ror":"https://ror.org/027s68j25"}],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":28,"referenced_works":["https://openalex.org/W1686810756","https://openalex.org/W2103077782","https://openalex.org/W2106488920","https://openalex.org/W2118664399","https://openalex.org/W2440214111","https://openalex.org/W2485314986","https://openalex.org/W2510725918","https://openalex.org/W2535798196","https://openalex.org/W2587795518","https://openalex.org/W2748140016","https://openalex.org/W2771116199","https://openalex.org/W2777921528","https://openalex.org/W2807744618","https://openalex.org/W2955216108","https://openalex.org/W2964254585","https://openalex.org/W2969729722","https://openalex.org/W2971130703","https://openalex.org/W3010749583","https://openalex.org/W3035732418","https://openalex.org/W3043650815","https://openalex.org/W3080350283","https://openalex.org/W3106310832","https://openalex.org/W3134211944","https://openalex.org/W4206096925","https://openalex.org/W6637373629","https://openalex.org/W6733769726","https://openalex.org/W6744039455","https://openalex.org/W6781303004"],"related_works":["https://openalex.org/W3121380072","https://openalex.org/W2058403539","https://openalex.org/W2333615638","https://openalex.org/W2602311653","https://openalex.org/W2964230772","https://openalex.org/W2768231286","https://openalex.org/W2973958681","https://openalex.org/W2942793592","https://openalex.org/W2409976527","https://openalex.org/W2964954556"],"abstract_inverted_index":{"Human":[0],"age":[1,33,51],"estimation":[2,34,52],"from":[3,69],"face":[4,70],"image":[5],"has":[6],"drawn":[7],"increasing":[8],"research":[9],"attention":[10],"due":[11],"to":[12,80,105,118],"its":[13],"many":[14],"meaningful":[15],"applications":[16],"such":[17],"as":[18],"demographics":[19],"analysis":[20],"and":[21,35,57,83,87,130],"surveillance":[22],"monitoring.":[23],"However,":[24],"most":[25],"existing":[26],"methods":[27],"directly":[28],"extract":[29],"age-specific":[30,109],"features":[31,97],"for":[32,50],"ignore":[36],"age-related":[37],"gender":[38,59,67,88],"information.":[39],"In":[40],"this":[41],"paper,":[42],"we":[43,62,73,93,112],"propose":[44],"a":[45,75,99,114],"simplified":[46],"deep":[47,115],"learning":[48,55],"network":[49,79],"by":[53],"simultaneously":[54,81],"aging":[56,86],"potential":[58,66],"features.":[60,91,110],"Specifically,":[61],"first":[63],"learn":[64,82,107],"the":[65,85,95,108,120,127],"information":[68],"images.":[71],"Then,":[72],"employ":[74],"two-stream":[76],"convolutional":[77],"neural":[78],"concatenate":[84],"latent":[89],"appearance":[90],"Third,":[92],"feed":[94],"multi-type":[96],"into":[98],"compact":[100],"convolution":[101],"network,":[102],"named":[103],"AgeNetwork,":[104],"further":[106],"Finally,":[111],"use":[113],"regression":[116],"function":[117],"estimate":[119],"detailed":[121],"ages.":[122],"Extensive":[123],"experimental":[124],"results":[125],"demonstrate":[126],"promising":[128],"effectiveness":[129],"efficiency":[131],"of":[132],"our":[133],"proposed":[134],"method":[135],"in":[136],"comparison":[137],"with":[138],"state-of-the-arts.":[139]},"counts_by_year":[{"year":2023,"cited_by_count":2}],"updated_date":"2026-07-14T23:27:15.235271","created_date":"2025-10-10T00:00:00"}