{"id":"https://openalex.org/W3084893096","doi":"https://doi.org/10.2312/sca.20201217","title":"ZooBuilder: 2D and 3D Pose Estimation for Quadrupeds Using Synthetic Data","display_name":"ZooBuilder: 2D and 3D Pose Estimation for Quadrupeds Using Synthetic Data","publication_year":2020,"publication_date":"2020-01-01","ids":{"openalex":"https://openalex.org/W3084893096","doi":"https://doi.org/10.2312/sca.20201217","mag":"3084893096"},"language":"en","primary_location":{"id":"pmh:oai:arXiv.org:2009.05389","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.05389","pdf_url":"https://arxiv.org/pdf/2009.05389","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"},"type":"preprint","indexed_in":["arxiv","datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://arxiv.org/pdf/2009.05389","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5110628651","display_name":"Abassin Sourou Fangbemi","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Fangbemi, Abassin Sourou","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5034461171","display_name":"Yi Lu","orcid":"https://orcid.org/0009-0004-4071-7943"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Lu, Yi Fei","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5090210917","display_name":"Mao Yuan Xu","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Xu, Mao Yuan","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5088944294","display_name":"Xiao Wu Luo","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Luo, Xiao Wu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5048787188","display_name":"Alexis Rolland","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Rolland, Alexis","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5066869710","display_name":"Chedy Ra\u00efssi","orcid":"https://orcid.org/0000-0002-6100-7519"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Raissi, Chedy","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":5,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":"1","last_page":"2"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9987999796867371,"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"}},"topics":[{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9987999796867371,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9980999827384949,"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":0.9771999716758728,"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":0.7431824207305908},{"id":"https://openalex.org/keywords/pose","display_name":"Pose","score":0.7027924656867981},{"id":"https://openalex.org/keywords/pipeline","display_name":"Pipeline (software)","score":0.6665242910385132},{"id":"https://openalex.org/keywords/synthetic-data","display_name":"Synthetic data","score":0.6554919481277466},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5829845070838928},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.5776000618934631},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.5464335083961487},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.5023109912872314},{"id":"https://openalex.org/keywords/3d-model","display_name":"3d model","score":0.4349602460861206},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.32196176052093506},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.2603148818016052}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7431824207305908},{"id":"https://openalex.org/C52102323","wikidata":"https://www.wikidata.org/wiki/Q1671968","display_name":"Pose","level":2,"score":0.7027924656867981},{"id":"https://openalex.org/C43521106","wikidata":"https://www.wikidata.org/wiki/Q2165493","display_name":"Pipeline (software)","level":2,"score":0.6665242910385132},{"id":"https://openalex.org/C160920958","wikidata":"https://www.wikidata.org/wiki/Q7662746","display_name":"Synthetic data","level":2,"score":0.6554919481277466},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5829845070838928},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.5776000618934631},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.5464335083961487},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.5023109912872314},{"id":"https://openalex.org/C3019007443","wikidata":"https://www.wikidata.org/wiki/Q568742","display_name":"3d model","level":2,"score":0.4349602460861206},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.32196176052093506},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.2603148818016052},{"id":"https://openalex.org/C111919701","wikidata":"https://www.wikidata.org/wiki/Q9135","display_name":"Operating system","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":5,"locations":[{"id":"pmh:oai:arXiv.org:2009.05389","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.05389","pdf_url":"https://arxiv.org/pdf/2009.05389","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":"mag:3084893096","is_oa":true,"landing_page_url":"http://export.arxiv.org/pdf/2009.05389","pdf_url":null,"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":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.48550/arxiv.2009.05389","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2009.05389","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"},{"id":"mag:3097218362","is_oa":true,"landing_page_url":"https://arxiv.org/pdf/2009.05389","pdf_url":null,"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":null,"is_accepted":false,"is_published":null,"raw_source_name":"arXiv (Cornell University)","raw_type":null},{"id":"doi:10.2312/sca.20201217","is_oa":true,"landing_page_url":"https://doi.org/10.2312/sca.20201217","pdf_url":null,"source":{"id":"https://openalex.org/S7407052899","display_name":"Eurographics","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":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"article-journal"}],"best_oa_location":{"id":"pmh:oai:arXiv.org:2009.05389","is_oa":true,"landing_page_url":"http://arxiv.org/abs/2009.05389","pdf_url":"https://arxiv.org/pdf/2009.05389","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":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":5,"referenced_works":["https://openalex.org/W1540289445","https://openalex.org/W2796347433","https://openalex.org/W2903831537","https://openalex.org/W2952271367","https://openalex.org/W3098473649"],"related_works":["https://openalex.org/W3097218362","https://openalex.org/W2126394825","https://openalex.org/W3154203352","https://openalex.org/W2045512591","https://openalex.org/W2295289373","https://openalex.org/W3181185981","https://openalex.org/W2603708840","https://openalex.org/W2357746639","https://openalex.org/W3082917646","https://openalex.org/W1964060976","https://openalex.org/W2164502114","https://openalex.org/W2172529265","https://openalex.org/W3128376776","https://openalex.org/W3123881669","https://openalex.org/W3176762345","https://openalex.org/W2070213417","https://openalex.org/W2361045682","https://openalex.org/W2940381188","https://openalex.org/W2043233613","https://openalex.org/W1544613419"],"abstract_inverted_index":{"This":[0],"work":[1],"introduces":[2],"a":[3,60],"novel":[4],"strategy":[5],"for":[6,11,32,76,98],"generating":[7],"synthetic":[8,44],"training":[9],"data":[10,90],"2D":[12,37,72],"and":[13,38,46,68,73],"3D":[14,39,74],"pose":[15,40],"estimation":[16,41],"of":[17,29,62,79],"animals":[18],"using":[19],"keyframe":[20],"animations.":[21],"With":[22,83],"the":[23,27,66,70,80],"objective":[24],"to":[25,95],"automate":[26],"process":[28],"creating":[30],"animations":[31,97],"wildlife,":[33],"we":[34,86],"train":[35],"several":[36],"models":[42],"with":[43],"data,":[45],"put":[47],"in":[48,65],"place":[49],"an":[50,63],"end-to-end":[51],"pipeline":[52,56],"called":[53],"ZooBuilder.":[54],"The":[55],"takes":[57],"as":[58],"input":[59],"video":[61],"animal":[64],"wild,":[67],"generates":[69],"corresponding":[71],"coordinates":[75],"each":[77],"joint":[78],"animal's":[81],"skeleton.":[82],"this":[84],"approach,":[85],"produce":[87],"motion":[88],"capture":[89],"that":[91],"can":[92],"be":[93],"used":[94],"create":[96],"wildlife.":[99]},"counts_by_year":[{"year":2023,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-15T18:14:33.161393","created_date":"2025-10-10T00:00:00"}