{"id":"https://openalex.org/W3106838237","doi":"https://doi.org/10.1007/978-3-030-58601-0_45","title":"Motion Guided 3D Pose Estimation from Videos","display_name":"Motion Guided 3D Pose Estimation from Videos","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3106838237","doi":"https://doi.org/10.1007/978-3-030-58601-0_45","mag":"3106838237"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-030-58601-0_45","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58601-0_45","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"},"type":"book-chapter","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/A5100456762","display_name":"Jingbo Wang","orcid":"https://orcid.org/0000-0001-9700-6262"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":true,"raw_author_name":"Jingbo Wang","raw_affiliation_strings":["The Chinese University of Hong Kong, Sha Tin, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Sha Tin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100381761","display_name":"Sijie Yan","orcid":"https://orcid.org/0000-0003-4398-0590"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Sijie Yan","raw_affiliation_strings":["The Chinese University of Hong Kong, Sha Tin, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Sha Tin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5005925571","display_name":"Yuanjun Xiong","orcid":"https://orcid.org/0000-0002-6391-4921"},"institutions":[{"id":"https://openalex.org/I1311688040","display_name":"Amazon (United States)","ror":"https://ror.org/04mv4n011","country_code":"US","type":"company","lineage":["https://openalex.org/I1311688040"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuanjun Xiong","raw_affiliation_strings":["AWS/Amazon AI, Causeway Bay, Hong Kong"],"affiliations":[{"raw_affiliation_string":"AWS/Amazon AI, Causeway Bay, Hong Kong","institution_ids":["https://openalex.org/I1311688040"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5010087030","display_name":"Dahua Lin","orcid":"https://orcid.org/0000-0002-8865-7896"},"institutions":[{"id":"https://openalex.org/I177725633","display_name":"Chinese University of Hong Kong","ror":"https://ror.org/00t33hh48","country_code":"HK","type":"education","lineage":["https://openalex.org/I177725633"]}],"countries":["HK"],"is_corresponding":false,"raw_author_name":"Dahua Lin","raw_affiliation_strings":["The Chinese University of Hong Kong, Sha Tin, Hong Kong"],"affiliations":[{"raw_affiliation_string":"The Chinese University of Hong Kong, Sha Tin, Hong Kong","institution_ids":["https://openalex.org/I177725633"]}]}],"institutions":[],"countries_distinct_count":2,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5100456762"],"corresponding_institution_ids":["https://openalex.org/I177725633"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":13.8561,"has_fulltext":false,"cited_by_count":211,"citation_normalized_percentile":{"value":0.98680827,"is_in_top_1_percent":false,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":94,"max":100},"biblio":{"volume":null,"issue":null,"first_page":"764","last_page":"780"},"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/T10531","display_name":"Advanced Vision and Imaging","score":0.9939000010490417,"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/T12290","display_name":"Human Motion and Animation","score":0.9919999837875366,"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/computer-science","display_name":"Computer science","score":0.737532913684845},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.719693660736084},{"id":"https://openalex.org/keywords/leverage","display_name":"Leverage (statistics)","score":0.7079878449440002},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.604577898979187},{"id":"https://openalex.org/keywords/pairwise-comparison","display_name":"Pairwise comparison","score":0.5973321795463562},{"id":"https://openalex.org/keywords/motion-estimation","display_name":"Motion estimation","score":0.5912918448448181},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.564643383026123},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.5397215485572815},{"id":"https://openalex.org/keywords/ground-truth","display_name":"Ground truth","score":0.5224531888961792},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.5146954655647278},{"id":"https://openalex.org/keywords/monocular","display_name":"Monocular","score":0.508167028427124},{"id":"https://openalex.org/keywords/structure-from-motion","display_name":"Structure from motion","score":0.4794541597366333},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.43414148688316345},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.4303383529186249},{"id":"https://openalex.org/keywords/margin","display_name":"Margin (machine learning)","score":0.42215120792388916},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.1376248598098755},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.12695300579071045}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.737532913684845},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.719693660736084},{"id":"https://openalex.org/C153083717","wikidata":"https://www.wikidata.org/wiki/Q6535263","display_name":"Leverage (statistics)","level":2,"score":0.7079878449440002},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.604577898979187},{"id":"https://openalex.org/C184898388","wikidata":"https://www.wikidata.org/wiki/Q1435712","display_name":"Pairwise comparison","level":2,"score":0.5973321795463562},{"id":"https://openalex.org/C10161872","wikidata":"https://www.wikidata.org/wiki/Q557891","display_name":"Motion estimation","level":2,"score":0.5912918448448181},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.564643383026123},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.5397215485572815},{"id":"https://openalex.org/C146849305","wikidata":"https://www.wikidata.org/wiki/Q370766","display_name":"Ground truth","level":2,"score":0.5224531888961792},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.5146954655647278},{"id":"https://openalex.org/C65909025","wikidata":"https://www.wikidata.org/wiki/Q1945033","display_name":"Monocular","level":2,"score":0.508167028427124},{"id":"https://openalex.org/C146159030","wikidata":"https://www.wikidata.org/wiki/Q7625099","display_name":"Structure from motion","level":3,"score":0.4794541597366333},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.43414148688316345},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.4303383529186249},{"id":"https://openalex.org/C774472","wikidata":"https://www.wikidata.org/wiki/Q6760393","display_name":"Margin (machine learning)","level":2,"score":0.42215120792388916},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.1376248598098755},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.12695300579071045},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"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/C199539241","wikidata":"https://www.wikidata.org/wiki/Q7748","display_name":"Law","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1007/978-3-030-58601-0_45","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-030-58601-0_45","pdf_url":null,"source":{"id":"https://openalex.org/S106296714","display_name":"Lecture notes in computer science","issn_l":"0302-9743","issn":["0302-9743","1611-3349"],"is_oa":false,"is_in_doaj":false,"is_core":true,"host_organization":"https://openalex.org/P4310319900","host_organization_name":"Springer Science+Business Media","host_organization_lineage":["https://openalex.org/P4310319900","https://openalex.org/P4310319965"],"host_organization_lineage_names":["Springer Science+Business Media","Springer Nature"],"type":"book series"},"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Lecture Notes in Computer Science","raw_type":"book-chapter"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":40,"referenced_works":["https://openalex.org/W2052747804","https://openalex.org/W2101032778","https://openalex.org/W2155196764","https://openalex.org/W2293220651","https://openalex.org/W2404595106","https://openalex.org/W2406128552","https://openalex.org/W2468907370","https://openalex.org/W2502928967","https://openalex.org/W2554247908","https://openalex.org/W2583585015","https://openalex.org/W2604375920","https://openalex.org/W2611932403","https://openalex.org/W2612706635","https://openalex.org/W2756050327","https://openalex.org/W2758778552","https://openalex.org/W2769237672","https://openalex.org/W2784435047","https://openalex.org/W2797184202","https://openalex.org/W2798646183","https://openalex.org/W2809890486","https://openalex.org/W2895689136","https://openalex.org/W2916798096","https://openalex.org/W2947432162","https://openalex.org/W2962811204","https://openalex.org/W2962896489","https://openalex.org/W2963076818","https://openalex.org/W2963383668","https://openalex.org/W2963592930","https://openalex.org/W2963984147","https://openalex.org/W2964016027","https://openalex.org/W2964221239","https://openalex.org/W2969676305","https://openalex.org/W2972662547","https://openalex.org/W2981660954","https://openalex.org/W2983796203","https://openalex.org/W2984313141","https://openalex.org/W3009246422","https://openalex.org/W3036133893","https://openalex.org/W3098473649","https://openalex.org/W6600263792"],"related_works":["https://openalex.org/W4307623796","https://openalex.org/W1501297619","https://openalex.org/W2026674073","https://openalex.org/W2053820737","https://openalex.org/W2370938709","https://openalex.org/W1484667368","https://openalex.org/W1988727984","https://openalex.org/W2114253841","https://openalex.org/W2004447433","https://openalex.org/W2105413810"],"abstract_inverted_index":null,"counts_by_year":[{"year":2026,"cited_by_count":3},{"year":2025,"cited_by_count":40},{"year":2024,"cited_by_count":58},{"year":2023,"cited_by_count":51},{"year":2022,"cited_by_count":32},{"year":2021,"cited_by_count":25},{"year":2020,"cited_by_count":2}],"updated_date":"2026-03-27T14:29:43.386196","created_date":"2025-10-10T00:00:00"}
