{"id":"https://openalex.org/W3213461831","doi":"https://doi.org/10.1109/fg52635.2021.9666993","title":"Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features","display_name":"Monocular Human Shape and Pose with Dense Mesh-borne Local Image Features","publication_year":2021,"publication_date":"2021-12-15","ids":{"openalex":"https://openalex.org/W3213461831","doi":"https://doi.org/10.1109/fg52635.2021.9666993","mag":"3213461831"},"language":"en","primary_location":{"id":"doi:10.1109/fg52635.2021.9666993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg52635.2021.9666993","pdf_url":null,"source":{"id":"https://openalex.org/S4363608446","display_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","raw_type":"proceedings-article"},"type":"article","indexed_in":["arxiv","crossref"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2111.05319","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5040854190","display_name":"Shubhendu Jena","orcid":null},"institutions":[{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]}],"countries":["FR"],"is_corresponding":true,"raw_author_name":"Shubhendu Jena","raw_affiliation_strings":["Inria, Univ. Rennes, CNRS, IRISA, M2S,France","Analysis-Synthesis Approach for Virtual Human Simulation"],"affiliations":[{"raw_affiliation_string":"Inria, Univ. Rennes, CNRS, IRISA, M2S,France","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802","https://openalex.org/I1326498283","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Analysis-Synthesis Approach for Virtual Human Simulation","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5080141350","display_name":"Franck Multon","orcid":"https://orcid.org/0000-0003-2690-0077"},"institutions":[{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Franck Multon","raw_affiliation_strings":["Inria, Univ. Rennes, CNRS, IRISA, M2S,France","Analysis-Synthesis Approach for Virtual Human Simulation"],"affiliations":[{"raw_affiliation_string":"Inria, Univ. Rennes, CNRS, IRISA, M2S,France","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802","https://openalex.org/I1326498283","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Analysis-Synthesis Approach for Virtual Human Simulation","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5020712348","display_name":"Adnane Boukhayma","orcid":null},"institutions":[{"id":"https://openalex.org/I56067802","display_name":"Universit\u00e9 de Rennes","ror":"https://ror.org/015m7wh34","country_code":"FR","type":"education","lineage":["https://openalex.org/I56067802"]},{"id":"https://openalex.org/I2802519937","display_name":"Institut de Recherche en Informatique et Syst\u00e8mes Al\u00e9atoires","ror":"https://ror.org/00myn0z94","country_code":"FR","type":"facility","lineage":["https://openalex.org/I1294671590","https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I205703379","https://openalex.org/I2802204017","https://openalex.org/I2802519937","https://openalex.org/I28221208","https://openalex.org/I4210127572","https://openalex.org/I4210159245","https://openalex.org/I56067802"]},{"id":"https://openalex.org/I1326498283","display_name":"Institut national de recherche en sciences et technologies du num\u00e9rique","ror":"https://ror.org/02kvxyf05","country_code":"FR","type":"government","lineage":["https://openalex.org/I1326498283"]},{"id":"https://openalex.org/I1294671590","display_name":"Centre National de la Recherche Scientifique","ror":"https://ror.org/02feahw73","country_code":"FR","type":"government","lineage":["https://openalex.org/I1294671590"]}],"countries":["FR"],"is_corresponding":false,"raw_author_name":"Adnane Boukhayma","raw_affiliation_strings":["Inria, Univ. Rennes, CNRS, IRISA, M2S,France","Analysis-Synthesis Approach for Virtual Human Simulation"],"affiliations":[{"raw_affiliation_string":"Inria, Univ. Rennes, CNRS, IRISA, M2S,France","institution_ids":["https://openalex.org/I2802519937","https://openalex.org/I56067802","https://openalex.org/I1326498283","https://openalex.org/I1294671590"]},{"raw_affiliation_string":"Analysis-Synthesis Approach for Virtual Human Simulation","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5040854190"],"corresponding_institution_ids":["https://openalex.org/I1294671590","https://openalex.org/I1326498283","https://openalex.org/I2802519937","https://openalex.org/I56067802"],"apc_list":null,"apc_paid":null,"fwci":0.0657,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.32979943,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"5"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9995999932289124,"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":0.9995999932289124,"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9937999844551086,"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":0.9927999973297119,"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"}}],"keywords":[{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.7819246053695679},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6544108986854553},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.6250913143157959},{"id":"https://openalex.org/keywords/convolutional-neural-network","display_name":"Convolutional neural network","score":0.6178359985351562},{"id":"https://openalex.org/keywords/pixel","display_name":"Pixel","score":0.5922415256500244},{"id":"https://openalex.org/keywords/feature","display_name":"Feature (linguistics)","score":0.5766306519508362},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5714842677116394},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5605806112289429},{"id":"https://openalex.org/keywords/vertex","display_name":"Vertex (graph theory)","score":0.5453665852546692},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.5013504028320312},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.4865226149559021},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.46682897210121155},{"id":"https://openalex.org/keywords/image","display_name":"Image (mathematics)","score":0.46390315890312195},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.24666360020637512},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.09632566571235657}],"concepts":[{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.7819246053695679},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6544108986854553},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.6250913143157959},{"id":"https://openalex.org/C81363708","wikidata":"https://www.wikidata.org/wiki/Q17084460","display_name":"Convolutional neural network","level":2,"score":0.6178359985351562},{"id":"https://openalex.org/C160633673","wikidata":"https://www.wikidata.org/wiki/Q355198","display_name":"Pixel","level":2,"score":0.5922415256500244},{"id":"https://openalex.org/C2776401178","wikidata":"https://www.wikidata.org/wiki/Q12050496","display_name":"Feature (linguistics)","level":2,"score":0.5766306519508362},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5714842677116394},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5605806112289429},{"id":"https://openalex.org/C80899671","wikidata":"https://www.wikidata.org/wiki/Q1304193","display_name":"Vertex (graph theory)","level":3,"score":0.5453665852546692},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.5013504028320312},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.4865226149559021},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.46682897210121155},{"id":"https://openalex.org/C115961682","wikidata":"https://www.wikidata.org/wiki/Q860623","display_name":"Image (mathematics)","level":2,"score":0.46390315890312195},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.24666360020637512},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.09632566571235657},{"id":"https://openalex.org/C41895202","wikidata":"https://www.wikidata.org/wiki/Q8162","display_name":"Linguistics","level":1,"score":0.0},{"id":"https://openalex.org/C138885662","wikidata":"https://www.wikidata.org/wiki/Q5891","display_name":"Philosophy","level":0,"score":0.0}],"mesh":[],"locations_count":3,"locations":[{"id":"doi:10.1109/fg52635.2021.9666993","is_oa":false,"landing_page_url":"https://doi.org/10.1109/fg52635.2021.9666993","pdf_url":null,"source":{"id":"https://openalex.org/S4363608446","display_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"conference"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2021 16th IEEE International Conference on Automatic Face and Gesture Recognition (FG 2021)","raw_type":"proceedings-article"},{"id":"pmh:oai:arXiv.org:2111.05319","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.05319","pdf_url":"https://arxiv.org/pdf/2111.05319","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"},{"id":"pmh:oai:HAL:hal-03524051v1","is_oa":false,"landing_page_url":"https://inria.hal.science/hal-03524051","pdf_url":null,"source":{"id":"https://openalex.org/S4406922461","display_name":"SPIRE - Sciences Po Institutional REpository","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"FG 2021 - IEEE International Conference on Automatic Face and Gesture Recognition, Dec 2021, Jodhpur (online), India. pp.1-5, &#x27E8;10.1109/FG52635.2021.9666993&#x27E9;","raw_type":"Conference papers"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2111.05319","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2111.05319","pdf_url":"https://arxiv.org/pdf/2111.05319","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":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":59,"referenced_works":["https://openalex.org/W1522301498","https://openalex.org/W1861492603","https://openalex.org/W1967554269","https://openalex.org/W1989191365","https://openalex.org/W2101032778","https://openalex.org/W2103025041","https://openalex.org/W2108598243","https://openalex.org/W2194775991","https://openalex.org/W2483862638","https://openalex.org/W2519887557","https://openalex.org/W2545173102","https://openalex.org/W2612690371","https://openalex.org/W2750606766","https://openalex.org/W2797515701","https://openalex.org/W2798411580","https://openalex.org/W2798637590","https://openalex.org/W2895748257","https://openalex.org/W2916798096","https://openalex.org/W2943734505","https://openalex.org/W2949207595","https://openalex.org/W2952122856","https://openalex.org/W2962754033","https://openalex.org/W2963342110","https://openalex.org/W2963403868","https://openalex.org/W2963515833","https://openalex.org/W2963876278","https://openalex.org/W2963907666","https://openalex.org/W2963995996","https://openalex.org/W2964015378","https://openalex.org/W2964093990","https://openalex.org/W2964318832","https://openalex.org/W2978956737","https://openalex.org/W2979577579","https://openalex.org/W2981637078","https://openalex.org/W2981827368","https://openalex.org/W2991621301","https://openalex.org/W2994220412","https://openalex.org/W2998621957","https://openalex.org/W3004162361","https://openalex.org/W3012850460","https://openalex.org/W3014741319","https://openalex.org/W3034470433","https://openalex.org/W3035501466","https://openalex.org/W3035581100","https://openalex.org/W3098612954","https://openalex.org/W3106758349","https://openalex.org/W3107167007","https://openalex.org/W3109877674","https://openalex.org/W3175199633","https://openalex.org/W4236667477","https://openalex.org/W4288359442","https://openalex.org/W4288523215","https://openalex.org/W4385245566","https://openalex.org/W4385483911","https://openalex.org/W4385489997","https://openalex.org/W6631190155","https://openalex.org/W6675631895","https://openalex.org/W6743229011","https://openalex.org/W6762260091"],"related_works":["https://openalex.org/W2123263858","https://openalex.org/W3127959533","https://openalex.org/W2085033728","https://openalex.org/W4285411112","https://openalex.org/W2171299904","https://openalex.org/W1647606319","https://openalex.org/W200819717","https://openalex.org/W4390494008","https://openalex.org/W4307623796","https://openalex.org/W4394784820"],"abstract_inverted_index":{"We":[0],"propose":[1,79],"to":[2,56,61,130,135],"improve":[3],"on":[4,116,125],"graph":[5,30],"convolution":[6],"based":[7,34],"approaches":[8],"for":[9,36,80],"human":[10,37],"shape":[11,38],"and":[12,39,113,128],"pose":[13,40],"estimation":[14,41],"from":[15,97],"monocular":[16],"input,":[17],"using":[18,87,121],"pixel-aligned":[19],"local":[20,88,122],"image":[21,53,89,100],"features.":[22],"Given":[23],"a":[24,45,68],"single":[25,46],"input":[26],"color":[27],"image,":[28],"existing":[29],"convolutional":[31,47],"network":[32,49],"(GCN)":[33],"techniques":[35],"(e.g.":[42],"[19])":[43],"use":[44],"neural":[48],"(CNN)":[50],"generated":[51,107],"global":[52,126],"feature":[54,101],"appended":[55],"all":[57],"mesh":[58,71],"vertices":[59],"equally":[60],"initialize":[62],"the":[63,73,81,84,98,136],"GCN":[64],"stage,":[65],"which":[66],"transforms":[67],"template":[69],"T-posed":[70],"into":[72],"target":[74],"pose.":[75],"In":[76],"contrast,":[77],"we":[78],"first":[82],"time":[83],"idea":[85],"of":[86],"features":[90,94,123],"per":[91],"vertex.":[92],"These":[93],"are":[95],"sampled":[96],"CNN":[99],"maps":[102],"by":[103],"utilizing":[104],"pixel-to-mesh":[105],"correspondences":[106],"with":[108,133],"DensePose":[109],"[11].":[110],"Our":[111],"quantitative":[112],"qualitative":[114],"results":[115],"standard":[117],"benchmarks":[118],"show":[119],"that":[120],"improves":[124],"ones":[127],"leads":[129],"competitive":[131],"performances":[132],"respect":[134],"state-of-the-art.":[137]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2026-04-17T18:11:37.981687","created_date":"2025-10-10T00:00:00"}
