{"id":"https://openalex.org/W3019382938","doi":"https://doi.org/10.1109/tvcg.2020.2988476","title":"Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network","display_name":"Disentangled Human Body Embedding Based on Deep Hierarchical Neural Network","publication_year":2020,"publication_date":"2020-04-20","ids":{"openalex":"https://openalex.org/W3019382938","doi":"https://doi.org/10.1109/tvcg.2020.2988476","mag":"3019382938","pmid":"https://pubmed.ncbi.nlm.nih.gov/32324557"},"language":"en","primary_location":{"id":"doi:10.1109/tvcg.2020.2988476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.2988476","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Visualization and Computer Graphics","raw_type":"journal-article"},"type":"article","indexed_in":["arxiv","crossref","pubmed"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/1905.05622","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5101486580","display_name":"Boyi Jiang","orcid":"https://orcid.org/0000-0003-4335-897X"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Boyi Jiang","raw_affiliation_strings":["School of Mathematical Sciences, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101904821","display_name":"Juyong Zhang","orcid":"https://orcid.org/0000-0002-1805-1426"},"institutions":[{"id":"https://openalex.org/I126520041","display_name":"University of Science and Technology of China","ror":"https://ror.org/04c4dkn09","country_code":"CN","type":"education","lineage":["https://openalex.org/I126520041","https://openalex.org/I19820366"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Juyong Zhang","raw_affiliation_strings":["School of Mathematical Sciences, University of Science and Technology of China, Hefei, China"],"affiliations":[{"raw_affiliation_string":"School of Mathematical Sciences, University of Science and Technology of China, Hefei, China","institution_ids":["https://openalex.org/I126520041"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100635804","display_name":"Jianfei Cai","orcid":"https://orcid.org/0000-0002-9444-3763"},"institutions":[{"id":"https://openalex.org/I56590836","display_name":"Monash University","ror":"https://ror.org/02bfwt286","country_code":"AU","type":"education","lineage":["https://openalex.org/I56590836"]}],"countries":["AU"],"is_corresponding":false,"raw_author_name":"Jianfei Cai","raw_affiliation_strings":["Faculty of IT, Monash University, Clayton, Australia"],"affiliations":[{"raw_affiliation_string":"Faculty of IT, Monash University, Clayton, Australia","institution_ids":["https://openalex.org/I56590836"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5039953512","display_name":"Jianmin Zheng","orcid":"https://orcid.org/0000-0002-5062-6226"},"institutions":[{"id":"https://openalex.org/I172675005","display_name":"Nanyang Technological University","ror":"https://ror.org/02e7b5302","country_code":"SG","type":"education","lineage":["https://openalex.org/I172675005"]}],"countries":["SG"],"is_corresponding":false,"raw_author_name":"Jianmin Zheng","raw_affiliation_strings":["School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore"],"affiliations":[{"raw_affiliation_string":"School of Computer Science and Engineering, Nanyang Technological University, Singapore, Singapore","institution_ids":["https://openalex.org/I172675005"]}]}],"institutions":[],"countries_distinct_count":3,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5101486580"],"corresponding_institution_ids":["https://openalex.org/I126520041"],"apc_list":null,"apc_paid":null,"fwci":2.7472,"has_fulltext":false,"cited_by_count":41,"citation_normalized_percentile":{"value":0.91976396,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":95,"max":99},"biblio":{"volume":"26","issue":"8","first_page":"2560","last_page":"2575"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9976000189781189,"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/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9962999820709229,"subfield":{"id":"https://openalex.org/subfields/2206","display_name":"Computational Mechanics"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11448","display_name":"Face recognition and analysis","score":0.991100013256073,"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":0.7875672578811646},{"id":"https://openalex.org/keywords/embedding","display_name":"Embedding","score":0.6336464881896973},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.6289503574371338},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5293384790420532},{"id":"https://openalex.org/keywords/visualization","display_name":"Visualization","score":0.4525179862976074},{"id":"https://openalex.org/keywords/data-visualization","display_name":"Data visualization","score":0.4129975736141205}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7875672578811646},{"id":"https://openalex.org/C41608201","wikidata":"https://www.wikidata.org/wiki/Q980509","display_name":"Embedding","level":2,"score":0.6336464881896973},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.6289503574371338},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5293384790420532},{"id":"https://openalex.org/C36464697","wikidata":"https://www.wikidata.org/wiki/Q451553","display_name":"Visualization","level":2,"score":0.4525179862976074},{"id":"https://openalex.org/C172367668","wikidata":"https://www.wikidata.org/wiki/Q6504956","display_name":"Data visualization","level":3,"score":0.4129975736141205}],"mesh":[{"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":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D003196","descriptor_name":"Computer Graphics","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D005260","descriptor_name":"Female","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":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D008297","descriptor_name":"Male","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D011187","descriptor_name":"Posture","qualifier_ui":"Q000502","qualifier_name":"physiology","is_major_topic":false},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D016571","descriptor_name":"Neural Networks, Computer","qualifier_ui":null,"qualifier_name":null,"is_major_topic":true},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false},{"descriptor_ui":"D021621","descriptor_name":"Imaging, Three-Dimensional","qualifier_ui":null,"qualifier_name":null,"is_major_topic":false}],"locations_count":3,"locations":[{"id":"doi:10.1109/tvcg.2020.2988476","is_oa":false,"landing_page_url":"https://doi.org/10.1109/tvcg.2020.2988476","pdf_url":null,"source":{"id":"https://openalex.org/S84775595","display_name":"IEEE Transactions on Visualization and Computer Graphics","issn_l":"1077-2626","issn":["1077-2626","1941-0506","2160-9306"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319808","host_organization_name":"Institute of Electrical and Electronics Engineers","host_organization_lineage":["https://openalex.org/P4310319808"],"host_organization_lineage_names":["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 Visualization and Computer Graphics","raw_type":"journal-article"},{"id":"pmid:32324557","is_oa":false,"landing_page_url":"https://pubmed.ncbi.nlm.nih.gov/32324557","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 visualization and computer graphics","raw_type":null},{"id":"pmh:oai:arXiv.org:1905.05622","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.05622","pdf_url":"https://arxiv.org/pdf/1905.05622","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:1905.05622","is_oa":true,"landing_page_url":"http://arxiv.org/abs/1905.05622","pdf_url":"https://arxiv.org/pdf/1905.05622","source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":null,"issn":null,"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"text"},"sustainable_development_goals":[{"score":0.49000000953674316,"id":"https://metadata.un.org/sdg/4","display_name":"Quality Education"}],"awards":[{"id":"https://openalex.org/G6102251684","display_name":null,"funder_award_id":"61672481","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"},{"id":"https://openalex.org/G939156453","display_name":null,"funder_award_id":"2018495","funder_id":"https://openalex.org/F4320322847","funder_display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences"}],"funders":[{"id":"https://openalex.org/F4320320709","display_name":"National Research Foundation Singapore","ror":"https://ror.org/03cpyc314"},{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320322847","display_name":"Youth Innovation Promotion Association of the Chinese Academy of Sciences","ror":"https://ror.org/031141b54"}],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":78,"referenced_works":["https://openalex.org/W186085407","https://openalex.org/W1522301498","https://openalex.org/W1558985453","https://openalex.org/W1562699689","https://openalex.org/W1936186068","https://openalex.org/W1944448249","https://openalex.org/W1959608418","https://openalex.org/W1967554269","https://openalex.org/W1985907520","https://openalex.org/W1989191365","https://openalex.org/W1992475172","https://openalex.org/W1993846356","https://openalex.org/W2005645152","https://openalex.org/W2026861142","https://openalex.org/W2032618685","https://openalex.org/W2049462432","https://openalex.org/W2075834168","https://openalex.org/W2088230067","https://openalex.org/W2099011563","https://openalex.org/W2101032778","https://openalex.org/W2109247271","https://openalex.org/W2122633688","https://openalex.org/W2134389879","https://openalex.org/W2135533529","https://openalex.org/W2137044594","https://openalex.org/W2141387879","https://openalex.org/W2151636374","https://openalex.org/W2158179171","https://openalex.org/W2400958808","https://openalex.org/W2419474014","https://openalex.org/W2483862638","https://openalex.org/W2592071824","https://openalex.org/W2743742625","https://openalex.org/W2746892480","https://openalex.org/W2753127912","https://openalex.org/W2753738274","https://openalex.org/W2768683308","https://openalex.org/W2793768642","https://openalex.org/W2799116135","https://openalex.org/W2806871337","https://openalex.org/W2883221003","https://openalex.org/W2902035653","https://openalex.org/W2917887692","https://openalex.org/W2928521819","https://openalex.org/W2952831099","https://openalex.org/W2961325344","https://openalex.org/W2962754033","https://openalex.org/W2962928839","https://openalex.org/W2962934458","https://openalex.org/W2963197375","https://openalex.org/W2963242400","https://openalex.org/W2963288150","https://openalex.org/W2963361426","https://openalex.org/W2963515833","https://openalex.org/W2963732450","https://openalex.org/W2963873475","https://openalex.org/W2963976831","https://openalex.org/W2963995996","https://openalex.org/W2964121744","https://openalex.org/W2964218552","https://openalex.org/W2964219767","https://openalex.org/W2971856312","https://openalex.org/W2973965592","https://openalex.org/W2978956737","https://openalex.org/W3006223838","https://openalex.org/W3124139043","https://openalex.org/W4238381132","https://openalex.org/W4255357301","https://openalex.org/W4255698256","https://openalex.org/W4385483911","https://openalex.org/W4385489997","https://openalex.org/W6607493213","https://openalex.org/W6631190155","https://openalex.org/W6640963894","https://openalex.org/W6681018454","https://openalex.org/W6682441149","https://openalex.org/W6744135506","https://openalex.org/W6744627333"],"related_works":["https://openalex.org/W2013728941","https://openalex.org/W4225274103","https://openalex.org/W2154046714","https://openalex.org/W2189613078","https://openalex.org/W2579659702","https://openalex.org/W2923661510","https://openalex.org/W1574055964","https://openalex.org/W1965329638","https://openalex.org/W2542318691","https://openalex.org/W3160708108"],"abstract_inverted_index":{"Human":[0],"bodies":[1],"exhibit":[2],"various":[3,137],"shapes":[4],"for":[5,43,70,86],"different":[6],"identities":[7],"or":[8],"poses,":[9],"but":[10,103],"the":[11,44,61,71,87,90,127],"body":[12,81,111,134],"shape":[13,38],"has":[14],"certain":[15],"similarities":[16],"in":[17,24,108,136],"structure":[18],"and":[19,39,74,117],"thus":[20],"can":[21,96],"be":[22],"embedded":[23],"a":[25,66,76],"low-dimensional":[26],"space.":[27],"This":[28,48],"article":[29],"presents":[30],"an":[31],"autoencoder-like":[32],"network":[33],"architecture":[34],"to":[35],"learn":[36],"disentangled":[37],"pose":[40],"embedding":[41,95,135],"specifically":[42],"3D":[45,109,132],"human":[46,80,110,133],"body.":[47],"is":[49],"inspired":[50],"by":[51],"recent":[52],"progress":[53],"of":[54,79,89,129],"deformation-based":[55],"latent":[56,118],"representation":[57],"learning.":[58],"To":[59],"improve":[60],"reconstruction":[62,68,101],"accuracy,":[63],"we":[64],"propose":[65],"hierarchical":[67],"pipeline":[69],"disentangling":[72],"process":[73],"construct":[75],"large":[77],"dataset":[78],"models":[82],"with":[83],"consistent":[84],"connectivity":[85],"learning":[88],"neural":[91],"network.":[92],"Our":[93],"learned":[94,131],"not":[97],"only":[98],"achieve":[99],"superior":[100],"accuracy":[102],"also":[104],"provide":[105],"great":[106],"flexibility":[107],"generation":[112],"via":[113],"interpolation,":[114,116],"bilinear":[115],"space":[119],"sampling.":[120],"The":[121],"results":[122],"from":[123],"extensive":[124],"experiments":[125],"demonstrate":[126],"powerfulness":[128],"our":[130],"applications.":[138]},"counts_by_year":[{"year":2025,"cited_by_count":2},{"year":2024,"cited_by_count":11},{"year":2023,"cited_by_count":5},{"year":2022,"cited_by_count":6},{"year":2021,"cited_by_count":13},{"year":2020,"cited_by_count":4}],"updated_date":"2026-03-27T05:58:40.876381","created_date":"2025-10-10T00:00:00"}