{"id":"https://openalex.org/W4416323861","doi":"https://doi.org/10.26599/cvm.2025.9450410","title":"Human Pose Estimation with General Contact","display_name":"Human Pose Estimation with General Contact","publication_year":2025,"publication_date":"2025-11-18","ids":{"openalex":"https://openalex.org/W4416323861","doi":"https://doi.org/10.26599/cvm.2025.9450410"},"language":"en","primary_location":{"id":"doi:10.26599/cvm.2025.9450410","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450410","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"type":"article","indexed_in":["crossref","doaj"],"open_access":{"is_oa":true,"oa_status":"diamond","oa_url":"https://doi.org/10.26599/cvm.2025.9450410","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5100420104","display_name":"He Zhang","orcid":"https://orcid.org/0000-0001-9262-3106"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"He Zhang","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Beihang University,Beijing,China,100191","School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079643583","display_name":"Jianhui Zhao","orcid":"https://orcid.org/0000-0002-5275-4846"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Jianhui Zhao","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Beihang University,Beijing,China,100191","School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100373576","display_name":"Fan Li","orcid":"https://orcid.org/0000-0002-7566-1634"},"institutions":[{"id":"https://openalex.org/I82880672","display_name":"Beihang University","ror":"https://ror.org/00wk2mp56","country_code":"CN","type":"education","lineage":["https://openalex.org/I82880672"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Fan Li","raw_affiliation_strings":["School of Instrumentation and Optoelectronic Engineering, Beihang University,Beijing,China,100191","School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China"],"affiliations":[{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University,Beijing,China,100191","institution_ids":["https://openalex.org/I82880672"]},{"raw_affiliation_string":"School of Instrumentation and Optoelectronic Engineering, Beihang University, Beijing 100191, China","institution_ids":["https://openalex.org/I82880672"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101221729","display_name":"Yitian Wu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210155967","display_name":"OriginWater (China)","ror":"https://ror.org/04h7gmn81","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155967"]},{"id":"https://openalex.org/I4210101356","display_name":"Beijing Founder Electronics (China)","ror":"https://ror.org/00nwrzz95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101356"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yitian Wu","raw_affiliation_strings":["Beijing Weilan Technology Co., Ltd.,Beijing,China,100083","MIGU Co., Ltd.,Beijing,China,100043","Beijing Weilan Technology Co., Ltd., Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Weilan Technology Co., Ltd.,Beijing,China,100083","institution_ids":["https://openalex.org/I4210155967"]},{"raw_affiliation_string":"MIGU Co., Ltd.,Beijing,China,100043","institution_ids":["https://openalex.org/I4210101356"]},{"raw_affiliation_string":"Beijing Weilan Technology Co., Ltd., Beijing 100083, China","institution_ids":["https://openalex.org/I4210155967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101870061","display_name":"Chao Tan","orcid":"https://orcid.org/0000-0002-8342-986X"},"institutions":[{"id":"https://openalex.org/I4210155967","display_name":"OriginWater (China)","ror":"https://ror.org/04h7gmn81","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155967"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Chao Tan","raw_affiliation_strings":["Beijing Weilan Technology Co., Ltd.,Beijing,China,100083","Beijing Weilan Technology Co., Ltd., Beijing 100083, China"],"affiliations":[{"raw_affiliation_string":"Beijing Weilan Technology Co., Ltd.,Beijing,China,100083","institution_ids":["https://openalex.org/I4210155967"]},{"raw_affiliation_string":"Beijing Weilan Technology Co., Ltd., Beijing 100083, China","institution_ids":["https://openalex.org/I4210155967"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5079962713","display_name":"Shuangpeng Sun","orcid":null},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Shuangpeng Sun","raw_affiliation_strings":["BNRist, Tsinghua University,Beijing,China,100084","BNRist, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"BNRist, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5035540929","display_name":"Yaohua Wu","orcid":"https://orcid.org/0000-0002-5561-8049"},"institutions":[{"id":"https://openalex.org/I4210101356","display_name":"Beijing Founder Electronics (China)","ror":"https://ror.org/00nwrzz95","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210101356"]},{"id":"https://openalex.org/I4210155967","display_name":"OriginWater (China)","ror":"https://ror.org/04h7gmn81","country_code":"CN","type":"company","lineage":["https://openalex.org/I4210155967"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Yaohua Wu","raw_affiliation_strings":["Beijing Weilan Technology Co., Ltd.,Beijing,China,100083","MIGU Co., Ltd.,Beijing,China,100043","MIGU Co., Ltd., Beijing 100043, China"],"affiliations":[{"raw_affiliation_string":"Beijing Weilan Technology Co., Ltd.,Beijing,China,100083","institution_ids":["https://openalex.org/I4210155967"]},{"raw_affiliation_string":"MIGU Co., Ltd.,Beijing,China,100043","institution_ids":["https://openalex.org/I4210101356"]},{"raw_affiliation_string":"MIGU Co., Ltd., Beijing 100043, China","institution_ids":["https://openalex.org/I4210101356"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100401819","display_name":"You Li","orcid":"https://orcid.org/0000-0002-0152-1655"},"institutions":[{"id":"https://openalex.org/I4210163738","display_name":"China Astronaut Research and Training Center","ror":"https://ror.org/001ycj259","country_code":"CN","type":"facility","lineage":["https://openalex.org/I4210163738"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"You Li","raw_affiliation_strings":["China Astronaut Research and Training Center,National Key Laboratory of Human Factors Engineering,Beijing,China,100094","National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing 100094, China"],"affiliations":[{"raw_affiliation_string":"China Astronaut Research and Training Center,National Key Laboratory of Human Factors Engineering,Beijing,China,100094","institution_ids":["https://openalex.org/I4210163738"]},{"raw_affiliation_string":"National Key Laboratory of Human Factors Engineering, China Astronaut Research and Training Center, Beijing 100094, China","institution_ids":["https://openalex.org/I4210163738"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5115597138","display_name":"Tao Yu","orcid":"https://orcid.org/0009-0009-8017-9402"},"institutions":[{"id":"https://openalex.org/I99065089","display_name":"Tsinghua University","ror":"https://ror.org/03cve4549","country_code":"CN","type":"education","lineage":["https://openalex.org/I99065089"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Tao Yu","raw_affiliation_strings":["BNRist, Tsinghua University,Beijing,China,100084","BNRist, Tsinghua University, Beijing 100084, China"],"affiliations":[{"raw_affiliation_string":"BNRist, Tsinghua University,Beijing,China,100084","institution_ids":["https://openalex.org/I99065089"]},{"raw_affiliation_string":"BNRist, Tsinghua University, Beijing 100084, China","institution_ids":["https://openalex.org/I99065089"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":9,"corresponding_author_ids":["https://openalex.org/A5100420104"],"corresponding_institution_ids":["https://openalex.org/I82880672"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":{"value":0.37906122,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":null,"biblio":{"volume":"11","issue":"6","first_page":"1247","last_page":"1262"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9702000021934509,"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":0.9702000021934509,"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/T10653","display_name":"Robot Manipulation and Learning","score":0.009600000455975533,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/T12290","display_name":"Human Motion and Animation","score":0.0052999998442828655,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"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/pose","display_name":"Pose","score":0.8003000020980835},{"id":"https://openalex.org/keywords/constraint","display_name":"Constraint (computer-aided design)","score":0.5982999801635742},{"id":"https://openalex.org/keywords/estimation","display_name":"Estimation","score":0.5439000129699707},{"id":"https://openalex.org/keywords/3d-pose-estimation","display_name":"3D pose estimation","score":0.5424000024795532},{"id":"https://openalex.org/keywords/articulated-body-pose-estimation","display_name":"Articulated body pose estimation","score":0.4812000095844269},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics","score":0.4392000138759613}],"concepts":[{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.8003000020980835},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6859999895095825},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.675599992275238},{"id":"https://openalex.org/C2776036281","wikidata":"https://www.wikidata.org/wiki/Q48769818","display_name":"Constraint (computer-aided design)","level":2,"score":0.5982999801635742},{"id":"https://openalex.org/C96250715","wikidata":"https://www.wikidata.org/wiki/Q965330","display_name":"Estimation","level":2,"score":0.5439000129699707},{"id":"https://openalex.org/C36613465","wikidata":"https://www.wikidata.org/wiki/Q4636322","display_name":"3D pose estimation","level":3,"score":0.5424000024795532},{"id":"https://openalex.org/C22100474","wikidata":"https://www.wikidata.org/wiki/Q4800952","display_name":"Articulated body pose estimation","level":4,"score":0.4812000095844269},{"id":"https://openalex.org/C77660652","wikidata":"https://www.wikidata.org/wiki/Q150971","display_name":"Computer graphics","level":2,"score":0.4392000138759613},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42809998989105225},{"id":"https://openalex.org/C82990744","wikidata":"https://www.wikidata.org/wiki/Q166194","display_name":"RGB color model","level":2,"score":0.41350001096725464},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.4009000062942505},{"id":"https://openalex.org/C21442007","wikidata":"https://www.wikidata.org/wiki/Q1027879","display_name":"Graphics","level":2,"score":0.3625999987125397},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.35690000653266907},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.34549999237060547},{"id":"https://openalex.org/C153180895","wikidata":"https://www.wikidata.org/wiki/Q7148389","display_name":"Pattern recognition (psychology)","level":2,"score":0.2815999984741211}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.26599/cvm.2025.9450410","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450410","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},{"id":"pmh:oai:doaj.org/article:7a5c3a7ac78b4e0fa1cb6c891033c2d1","is_oa":true,"landing_page_url":"https://doaj.org/article/7a5c3a7ac78b4e0fa1cb6c891033c2d1","pdf_url":null,"source":{"id":"https://openalex.org/S112646816","display_name":"SHILAP Revista de lepidopterolog\u00eda","issn_l":"0300-5267","issn":["0300-5267","2340-4078"],"is_oa":true,"is_in_doaj":true,"is_core":false,"host_organization":null,"host_organization_name":null,"host_organization_lineage":[],"host_organization_lineage_names":[],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"Computational Visual Media, Vol 11, Iss 6, Pp 1247-1262 (2025)","raw_type":"article"}],"best_oa_location":{"id":"doi:10.26599/cvm.2025.9450410","is_oa":true,"landing_page_url":"https://doi.org/10.26599/cvm.2025.9450410","pdf_url":null,"source":{"id":"https://openalex.org/S2487656537","display_name":"Computational Visual Media","issn_l":"2096-0433","issn":["2096-0433","2096-0662"],"is_oa":true,"is_in_doaj":true,"is_core":true,"host_organization":"https://openalex.org/P4310319965","host_organization_name":"Springer Nature","host_organization_lineage":["https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Nature"],"type":"journal"},"license":"cc-by","license_id":"https://openalex.org/licenses/cc-by","version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Computational Visual Media","raw_type":"journal-article"},"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":39,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2089384364","https://openalex.org/W2137435234","https://openalex.org/W2215643317","https://openalex.org/W2798637590","https://openalex.org/W2962730651","https://openalex.org/W2963097937","https://openalex.org/W2963515833","https://openalex.org/W2963873475","https://openalex.org/W2963995996","https://openalex.org/W2965523038","https://openalex.org/W2971476609","https://openalex.org/W2978956737","https://openalex.org/W2981637078","https://openalex.org/W2982275673","https://openalex.org/W2998621957","https://openalex.org/W3014641072","https://openalex.org/W3034902964","https://openalex.org/W3035551320","https://openalex.org/W3044670941","https://openalex.org/W3096676935","https://openalex.org/W3110095664","https://openalex.org/W3167491448","https://openalex.org/W3172644340","https://openalex.org/W3175788243","https://openalex.org/W3176724791","https://openalex.org/W3195918559","https://openalex.org/W3204323171","https://openalex.org/W3204956438","https://openalex.org/W4214619583","https://openalex.org/W4214770715","https://openalex.org/W4225964194","https://openalex.org/W4280507579","https://openalex.org/W4312518484","https://openalex.org/W4312979714","https://openalex.org/W4313182816","https://openalex.org/W4386066244","https://openalex.org/W4386076106","https://openalex.org/W4390873686"],"related_works":[],"abstract_inverted_index":{"Existing":[0],"human":[1,113],"pose":[2,31,93,108,114],"estimation":[3,32,115],"methods":[4],"seldom":[5],"consider":[6],"the":[7,22,57,62,85,135,138],"impact":[8,23],"or":[9],"constraint":[10],"of":[11,14,24,100,137],"different":[12],"types":[13],"contact.":[15,39],"In":[16],"this":[17],"paper,":[18],"we":[19,41,60,76],"elaborate":[20],"on":[21,30,56],"both":[25],"body-scene":[26],"contact":[27,48,52,69,88,101],"and":[28,33,106,131],"self-contact":[29],"refer":[34],"to":[35,65],"them":[36],"as":[37],"general":[38,51,68,87],"First,":[40],"extend":[42],"existing":[43,127],"datasets":[44],"by":[45,126],"calculating":[46],"additional":[47],"labels":[49],"for":[50,90,118],"inference.":[53],"Moreover,":[54],"based":[55],"extended":[58],"dataset,":[59],"present":[61],"first":[63],"network":[64],"predict":[66],"dense":[67],"from":[70,152],"a":[71,78],"single":[72],"RGB":[73],"image.":[74],"Finally,":[75],"develop":[77],"novel":[79],"optimization":[80],"method":[81],"that":[82,98,121],"successfully":[83],"utilizes":[84],"inferred":[86],"information":[89],"accurate":[91],"3D":[92],"estimation.":[94],"Our":[95,141],"results":[96,130,142],"show":[97],"knowledge":[99],"can":[102],"provide":[103],"strong":[104],"constraints":[105],"resolve":[107],"ambiguity,":[109],"thus":[110],"significantly":[111],"improving":[112],"accuracy,":[116],"especially":[117],"challenging":[119],"poses":[120],"cannot":[122],"be":[123],"well":[124],"handled":[125],"methods.":[128],"Experimental":[129],"comparisons":[132],"further":[133],"demonstrate":[134],"effectiveness":[136],"proposed":[139],"method.":[140],"are":[143],"even":[144],"more":[145],"reasonable":[146],"than":[147],"certain":[148],"pseudo-ground":[149],"truth":[150],"determined":[151],"multi-view":[153],"images.":[154]},"counts_by_year":[],"updated_date":"2026-03-07T16:01:11.037858","created_date":"2025-11-18T00:00:00"}
