{"id":"https://openalex.org/W3135588195","doi":"https://doi.org/10.1109/access.2021.3062426","title":"3D Human Pose Estimation With Spatial Structure Information","display_name":"3D Human Pose Estimation With Spatial Structure Information","publication_year":2021,"publication_date":"2021-01-01","ids":{"openalex":"https://openalex.org/W3135588195","doi":"https://doi.org/10.1109/access.2021.3062426","mag":"3135588195"},"language":"en","primary_location":{"id":"doi:10.1109/access.2021.3062426","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3062426","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09363893.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"gold","oa_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09363893.pdf","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5119353008","display_name":"Xiaoshan Huang","orcid":"https://orcid.org/0000-0003-3360-855X"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Xiaoshan Huang","raw_affiliation_strings":["Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-3360-855X","affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5108705811","display_name":"Jun Huang","orcid":"https://orcid.org/0000-0003-4939-3880"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jun Huang","raw_affiliation_strings":["Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0003-4939-3880","affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5075741019","display_name":"Zengming Tang","orcid":"https://orcid.org/0000-0001-5485-1829"},"institutions":[{"id":"https://openalex.org/I19820366","display_name":"Chinese Academy of Sciences","ror":"https://ror.org/034t30j35","country_code":"CN","type":"government","lineage":["https://openalex.org/I19820366"]},{"id":"https://openalex.org/I4210111959","display_name":"Shanghai Advanced Research Institute","ror":"https://ror.org/02br7py06","country_code":"CN","type":"facility","lineage":["https://openalex.org/I19820366","https://openalex.org/I4210111959"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Zengming Tang","raw_affiliation_strings":["Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China"],"raw_orcid":"https://orcid.org/0000-0001-5485-1829","affiliations":[{"raw_affiliation_string":"Shanghai Advanced Research Institute, Chinese Academy of Sciences, Shanghai, China","institution_ids":["https://openalex.org/I4210111959","https://openalex.org/I19820366"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5119353008"],"corresponding_institution_ids":["https://openalex.org/I19820366","https://openalex.org/I4210111959"],"apc_list":{"value":1850,"currency":"USD","value_usd":1850},"apc_paid":{"value":1850,"currency":"USD","value_usd":1850},"fwci":0.3879,"has_fulltext":true,"cited_by_count":5,"citation_normalized_percentile":{"value":0.59148792,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":97},"biblio":{"volume":"9","issue":null,"first_page":"35947","last_page":"35956"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","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/T10812","display_name":"Human Pose and Action Recognition","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/T11398","display_name":"Hand Gesture Recognition Systems","score":0.9969000220298767,"subfield":{"id":"https://openalex.org/subfields/1709","display_name":"Human-Computer Interaction"},"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":0.9959999918937683,"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":0.7567659616470337},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.684185266494751},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.6550350189208984},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5575919151306152},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5432535409927368},{"id":"https://openalex.org/keywords/convolution","display_name":"Convolution (computer science)","score":0.5266385078430176},{"id":"https://openalex.org/keywords/ambiguity","display_name":"Ambiguity","score":0.5047608613967896},{"id":"https://openalex.org/keywords/key","display_name":"Key (lock)","score":0.43416163325309753},{"id":"https://openalex.org/keywords/pattern-recognition","display_name":"Pattern recognition (psychology)","score":0.40219008922576904},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.34491199254989624},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.20261752605438232},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.20097345113754272},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.1808050572872162}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7567659616470337},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.684185266494751},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.6550350189208984},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5575919151306152},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5432535409927368},{"id":"https://openalex.org/C45347329","wikidata":"https://www.wikidata.org/wiki/Q5166604","display_name":"Convolution (computer science)","level":3,"score":0.5266385078430176},{"id":"https://openalex.org/C2780522230","wikidata":"https://www.wikidata.org/wiki/Q1140419","display_name":"Ambiguity","level":2,"score":0.5047608613967896},{"id":"https://openalex.org/C26517878","wikidata":"https://www.wikidata.org/wiki/Q228039","display_name":"Key (lock)","level":2,"score":0.43416163325309753},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.40219008922576904},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.34491199254989624},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.20261752605438232},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.20097345113754272},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.1808050572872162},{"id":"https://openalex.org/C38652104","wikidata":"https://www.wikidata.org/wiki/Q3510521","display_name":"Computer security","level":1,"score":0.0},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.0},{"id":"https://openalex.org/C199360897","wikidata":"https://www.wikidata.org/wiki/Q9143","display_name":"Programming language","level":1,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1109/access.2021.3062426","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3062426","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09363893.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:89cf614a6bdd40ea8d6e3796a48bd5c8","is_oa":true,"landing_page_url":"https://doaj.org/article/89cf614a6bdd40ea8d6e3796a48bd5c8","pdf_url":null,"source":{"id":"https://openalex.org/S4306401280","display_name":"DOAJ (DOAJ: Directory of Open Access Journals)","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":"cc-by-sa","license_id":"https://openalex.org/licenses/cc-by-sa","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"IEEE Access, Vol 9, Pp 35947-35956 (2021)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.1109/access.2021.3062426","is_oa":true,"landing_page_url":"https://doi.org/10.1109/access.2021.3062426","pdf_url":"https://ieeexplore.ieee.org/ielx7/6287639/9312710/09363893.pdf","source":{"id":"https://openalex.org/S2485537415","display_name":"IEEE Access","issn_l":"2169-3536","issn":["2169-3536"],"is_oa":true,"is_in_doaj":true,"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":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"IEEE Access","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[{"id":"https://openalex.org/G3603853770","display_name":null,"funder_award_id":"2017YFE0192800","funder_id":"https://openalex.org/F4320335777","funder_display_name":"National Key Research and Development Program of China"},{"id":"https://openalex.org/G4125239529","display_name":null,"funder_award_id":"61972007","funder_id":"https://openalex.org/F4320321001","funder_display_name":"National Natural Science Foundation of China"}],"funders":[{"id":"https://openalex.org/F4320321001","display_name":"National Natural Science Foundation of China","ror":"https://ror.org/01h0zpd94"},{"id":"https://openalex.org/F4320335777","display_name":"National Key Research and Development Program of China","ror":null}],"has_content":{"grobid_xml":true,"pdf":true},"content_urls":{"pdf":"https://content.openalex.org/works/W3135588195.pdf","grobid_xml":"https://content.openalex.org/works/W3135588195.grobid-xml"},"referenced_works_count":58,"referenced_works":["https://openalex.org/W1501856433","https://openalex.org/W1943191679","https://openalex.org/W2039262381","https://openalex.org/W2058649580","https://openalex.org/W2080873731","https://openalex.org/W2088196373","https://openalex.org/W2101032778","https://openalex.org/W2116341502","https://openalex.org/W2155196764","https://openalex.org/W2293220651","https://openalex.org/W2307770531","https://openalex.org/W2519887557","https://openalex.org/W2554247908","https://openalex.org/W2612706635","https://openalex.org/W2737756234","https://openalex.org/W2754534665","https://openalex.org/W2789243003","https://openalex.org/W2797184202","https://openalex.org/W2798646183","https://openalex.org/W2803936827","https://openalex.org/W2804594065","https://openalex.org/W2806331055","https://openalex.org/W2809890486","https://openalex.org/W2886970679","https://openalex.org/W2890531016","https://openalex.org/W2916798096","https://openalex.org/W2962896489","https://openalex.org/W2963076818","https://openalex.org/W2963091558","https://openalex.org/W2963379341","https://openalex.org/W2963441822","https://openalex.org/W2963753007","https://openalex.org/W2964015378","https://openalex.org/W2964016027","https://openalex.org/W2964221239","https://openalex.org/W2964304707","https://openalex.org/W2966735886","https://openalex.org/W2968459013","https://openalex.org/W2968940310","https://openalex.org/W2970285700","https://openalex.org/W2978040511","https://openalex.org/W2981741587","https://openalex.org/W2982627166","https://openalex.org/W2997760858","https://openalex.org/W3011709144","https://openalex.org/W3048573950","https://openalex.org/W3097623574","https://openalex.org/W4297787081","https://openalex.org/W6696920397","https://openalex.org/W6726873649","https://openalex.org/W6746746423","https://openalex.org/W6747795875","https://openalex.org/W6748352175","https://openalex.org/W6751865534","https://openalex.org/W6754472501","https://openalex.org/W6779669310","https://openalex.org/W6782095612","https://openalex.org/W6843518774"],"related_works":["https://openalex.org/W2353179089","https://openalex.org/W2923538289","https://openalex.org/W2353125546","https://openalex.org/W2470643824","https://openalex.org/W2349635380","https://openalex.org/W2353819554","https://openalex.org/W2359488321","https://openalex.org/W2389866386","https://openalex.org/W4353089801","https://openalex.org/W2131379912"],"abstract_inverted_index":{"Estimating":[0],"3D":[1,64,100],"human":[2,30,48],"poses":[3,6,65],"from":[4,66],"2D":[5,69],"is":[7],"a":[8,51,56,139],"challenging":[9],"problem":[10,41],"due":[11],"to":[12,38,62,83,95,142],"joints":[13,43,88],"self-occlusion,":[14],"weak":[15],"generalization,":[16],"and":[17,54,102,114,125],"inherent":[18],"ambiguity":[19,117],"of":[20,42,79,87,112,118],"recovering":[21],"depth.":[22],"Actually,":[23],"there":[24],"exists":[25],"spatial":[26],"structure":[27],"dependence":[28],"on":[29,122],"body":[31],"key":[32],"points":[33],"which":[34],"can":[35,107],"be":[36],"used":[37],"alleviate":[39],"the":[40,67,72,76,84,110,116,147],"self-occlusion.":[44],"Therefore,":[45],"we":[46,74,128],"represent":[47],"pose":[49],"as":[50],"directed":[52],"graph":[53,60],"propose":[55],"network":[57],"implemented":[58],"with":[59],"convolution":[61],"predict":[63],"given":[68],"poses.":[70],"In":[71],"digraph,":[73],"determine":[75],"connection":[77],"weight":[78],"each":[80],"edge":[81],"according":[82],"error":[85],"distribution":[86],"estimation.":[89],"This":[90],"makes":[91],"our":[92,105,135],"model":[93],"robust":[94],"noise.":[96],"By":[97],"optimizing":[98],"coarse":[99],"estimation":[101,113],"adversarial":[103],"learning,":[104],"algorithm":[106,136],"successfully":[108],"improve":[109],"accuracy":[111],"relieve":[115],"mapping.":[119],"Through":[120],"testing":[121],"Human":[123],"3.6M":[124],"MPI-INF-3DHP":[126],"datasets,":[127],"achieve":[129],"excellent":[130],"quantitative":[131],"performance.":[132],"More":[133],"importantly,":[134],"also":[137],"has":[138],"superior":[140],"generalization":[141],"outdoor":[143],"dataset":[144],"MPII":[145],"by":[146],"pre-training":[148],"process.":[149]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2024,"cited_by_count":1},{"year":2022,"cited_by_count":3}],"updated_date":"2026-05-06T08:25:59.206177","created_date":"2025-10-10T00:00:00"}