{"id":"https://openalex.org/W3120235572","doi":"https://doi.org/10.1109/ijcb48548.2020.9304855","title":"Leveraging Auxiliary Tasks for Height and Weight Estimation by Multi Task Learning","display_name":"Leveraging Auxiliary Tasks for Height and Weight Estimation by Multi Task Learning","publication_year":2020,"publication_date":"2020-09-28","ids":{"openalex":"https://openalex.org/W3120235572","doi":"https://doi.org/10.1109/ijcb48548.2020.9304855","mag":"3120235572"},"language":"en","primary_location":{"id":"doi:10.1109/ijcb48548.2020.9304855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb48548.2020.9304855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 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/A5101473341","display_name":"Dan Han","orcid":"https://orcid.org/0000-0001-8939-7435"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Dan Han","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100436755","display_name":"Jie Zhang","orcid":"https://orcid.org/0000-0002-5305-7911"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jie Zhang","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5050297728","display_name":"Shiguang Shan","orcid":"https://orcid.org/0000-0002-8348-392X"},"institutions":[{"id":"https://openalex.org/I4210165038","display_name":"University of Chinese Academy of Sciences","ror":"https://ror.org/05qbk4x57","country_code":"CN","type":"education","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210165038"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shiguang Shan","raw_affiliation_strings":["University of Chinese Academy of Sciences, Beijing, China"],"affiliations":[{"raw_affiliation_string":"University of Chinese Academy of Sciences, Beijing, China","institution_ids":["https://openalex.org/I4210165038"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5101473341"],"corresponding_institution_ids":["https://openalex.org/I4210165038"],"apc_list":null,"apc_paid":null,"fwci":0.2931,"has_fulltext":false,"cited_by_count":6,"citation_normalized_percentile":{"value":0.58551791,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":91,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"7"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.9900000095367432,"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":0.9900000095367432,"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/T10812","display_name":"Human Pose and Action 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"}},{"id":"https://openalex.org/T11374","display_name":"Cleft Lip and Palate Research","score":0.9681000113487244,"subfield":{"id":"https://openalex.org/subfields/1311","display_name":"Genetics"},"field":{"id":"https://openalex.org/fields/13","display_name":"Biochemistry, Genetics and Molecular Biology"},"domain":{"id":"https://openalex.org/domains/1","display_name":"Life Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7249478697776794},{"id":"https://openalex.org/keywords/task","display_name":"Task (project management)","score":0.7005499601364136},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6558490991592407},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.6515893936157227},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6413477659225464},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.6015501022338867},{"id":"https://openalex.org/keywords/multi-task-learning","display_name":"Multi-task learning","score":0.5695737600326538},{"id":"https://openalex.org/keywords/baseline","display_name":"Baseline (sea)","score":0.5414571166038513},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.5229859352111816},{"id":"https://openalex.org/keywords/residual","display_name":"Residual","score":0.4766450822353363},{"id":"https://openalex.org/keywords/relevance","display_name":"Relevance (law)","score":0.45956188440322876},{"id":"https://openalex.org/keywords/task-analysis","display_name":"Task analysis","score":0.449823796749115},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4175416827201843},{"id":"https://openalex.org/keywords/face","display_name":"Face (sociological concept)","score":0.4131101667881012},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.35056817531585693},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.09254446625709534}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7249478697776794},{"id":"https://openalex.org/C2780451532","wikidata":"https://www.wikidata.org/wiki/Q759676","display_name":"Task (project management)","level":2,"score":0.7005499601364136},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6558490991592407},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.6515893936157227},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6413477659225464},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.6015501022338867},{"id":"https://openalex.org/C28006648","wikidata":"https://www.wikidata.org/wiki/Q6934509","display_name":"Multi-task learning","level":3,"score":0.5695737600326538},{"id":"https://openalex.org/C12725497","wikidata":"https://www.wikidata.org/wiki/Q810247","display_name":"Baseline (sea)","level":2,"score":0.5414571166038513},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.5229859352111816},{"id":"https://openalex.org/C155512373","wikidata":"https://www.wikidata.org/wiki/Q287450","display_name":"Residual","level":2,"score":0.4766450822353363},{"id":"https://openalex.org/C158154518","wikidata":"https://www.wikidata.org/wiki/Q7310970","display_name":"Relevance (law)","level":2,"score":0.45956188440322876},{"id":"https://openalex.org/C175154964","wikidata":"https://www.wikidata.org/wiki/Q380077","display_name":"Task analysis","level":3,"score":0.449823796749115},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4175416827201843},{"id":"https://openalex.org/C2779304628","wikidata":"https://www.wikidata.org/wiki/Q3503480","display_name":"Face (sociological concept)","level":2,"score":0.4131101667881012},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.35056817531585693},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.09254446625709534},{"id":"https://openalex.org/C144024400","wikidata":"https://www.wikidata.org/wiki/Q21201","display_name":"Sociology","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/C36289849","wikidata":"https://www.wikidata.org/wiki/Q34749","display_name":"Social science","level":1,"score":0.0},{"id":"https://openalex.org/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0},{"id":"https://openalex.org/C127313418","wikidata":"https://www.wikidata.org/wiki/Q1069","display_name":"Geology","level":0,"score":0.0},{"id":"https://openalex.org/C17744445","wikidata":"https://www.wikidata.org/wiki/Q36442","display_name":"Political science","level":0,"score":0.0},{"id":"https://openalex.org/C111368507","wikidata":"https://www.wikidata.org/wiki/Q43518","display_name":"Oceanography","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}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/ijcb48548.2020.9304855","is_oa":false,"landing_page_url":"https://doi.org/10.1109/ijcb48548.2020.9304855","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE International Joint Conference on Biometrics (IJCB)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[{"display_name":"Gender equality","id":"https://metadata.un.org/sdg/5","score":0.4699999988079071}],"awards":[{"id":"https://openalex.org/G5099258760","display_name":null,"funder_award_id":"61806188,61976219","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G598336005","display_name":null,"funder_award_id":"2017SHZDZX01","funder_id":"https://openalex.org/F4320321885","funder_display_name":"Science and Technology Commission of Shanghai Municipality"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320321885","display_name":"Science and Technology Commission of Shanghai Municipality","ror":"https://ror.org/03kt66j61"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":48,"referenced_works":["https://openalex.org/W259216465","https://openalex.org/W1497745584","https://openalex.org/W1769664844","https://openalex.org/W1800306869","https://openalex.org/W1896424170","https://openalex.org/W1961889039","https://openalex.org/W1999104632","https://openalex.org/W2000647275","https://openalex.org/W2095063733","https://openalex.org/W2143104527","https://openalex.org/W2165644552","https://openalex.org/W2188731820","https://openalex.org/W2194775991","https://openalex.org/W2251300660","https://openalex.org/W2315513224","https://openalex.org/W2549401308","https://openalex.org/W2562137921","https://openalex.org/W2567698949","https://openalex.org/W2617039999","https://openalex.org/W2624871570","https://openalex.org/W2745074940","https://openalex.org/W2767286446","https://openalex.org/W2768128338","https://openalex.org/W2804823968","https://openalex.org/W2891303672","https://openalex.org/W2895871011","https://openalex.org/W2949664970","https://openalex.org/W2962799344","https://openalex.org/W2963303028","https://openalex.org/W2963430933","https://openalex.org/W2963877604","https://openalex.org/W2964036110","https://openalex.org/W4293849695","https://openalex.org/W4394641052","https://openalex.org/W6609683064","https://openalex.org/W6629935912","https://openalex.org/W6638370976","https://openalex.org/W6640290990","https://openalex.org/W6684671274","https://openalex.org/W6738491513","https://openalex.org/W6739365718","https://openalex.org/W6742702747","https://openalex.org/W6745996482","https://openalex.org/W6752178629","https://openalex.org/W6755078615","https://openalex.org/W6863452158","https://openalex.org/W6999031331","https://openalex.org/W7008310102"],"related_works":["https://openalex.org/W2337753992","https://openalex.org/W2948333011","https://openalex.org/W4386619269","https://openalex.org/W4312745891","https://openalex.org/W1942758450","https://openalex.org/W2994972936","https://openalex.org/W2922338626","https://openalex.org/W3088045114","https://openalex.org/W2108010283","https://openalex.org/W3043585682"],"abstract_inverted_index":{"Height":[0,20],"and":[1,21,55,77,91,108,136],"weight,":[2,56],"two":[3],"of":[4,10,40,51,71,120,130],"the":[5,49,69,104,117,128],"most":[6],"important":[7],"biological":[8],"characteristics":[9],"human":[11],"body,":[12],"play":[13],"crucial":[14],"roles":[15],"in":[16,124],"physical":[17],"condition":[18],"estimation.":[19,138],"weight":[22,92,137],"estimation":[23,79],"with":[24],"single":[25],"face":[26],"image":[27],"via":[28,95],"deep":[29,96],"convolutional":[30],"neural":[31],"network":[32],"suffers":[33],"from":[34],"poor":[35],"performance":[36,70],"due":[37],"to":[38,67,85],"lack":[39],"labeled":[41],"data.":[42],"To":[43],"address":[44],"this":[45],"issue,":[46],"inspired":[47],"by":[48],"relevance":[50],"gender,":[52],"age,":[53],"height":[54,90,135],"we":[57],"propose":[58],"an":[59],"auxiliary-task":[60,131],"learning":[61,94,132],"framework,":[62],"employing":[63],"multiple":[64],"relevant":[65],"tasks":[66,84,88],"improve":[68],"primary":[72,87],"tasks.":[73],"Specifically,":[74],"gender":[75],"prediction":[76],"age":[78],"are":[80,101],"utilized":[81],"as":[82],"auxiliary":[83,98],"assist":[86],"(i.e.,":[89],"estimation)":[93],"residual":[97],"block.":[99],"Experiments":[100],"conducted":[102],"on":[103],"public":[105],"VIP-attributes":[106],"datasets":[107],"our":[109],"private":[110],"VIPL-MumoFace-":[111],"WH":[112],"datasets.":[113],"Our":[114],"method":[115],"outperforms":[116],"baseline":[118],"methods":[119],"hard":[121],"parameter":[122],"sharing":[123],"multi-task":[125],"learning,":[126],"demonstrating":[127],"effectiveness":[129],"framework":[133],"for":[134]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":2},{"year":2023,"cited_by_count":3}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}