{"id":"https://openalex.org/W4313136947","doi":"https://doi.org/10.1007/978-3-031-20086-1_7","title":"DANBO: Disentangled Articulated Neural Body Representations via\u00a0Graph Neural Networks","display_name":"DANBO: Disentangled Articulated Neural Body Representations via\u00a0Graph Neural Networks","publication_year":2022,"publication_date":"2022-01-01","ids":{"openalex":"https://openalex.org/W4313136947","doi":"https://doi.org/10.1007/978-3-031-20086-1_7"},"language":"en","primary_location":{"id":"doi:10.1007/978-3-031-20086-1_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-20086-1_7","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/A5060581117","display_name":"Shih-Yang Su","orcid":null},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":true,"raw_author_name":"Shih-Yang Su","raw_affiliation_strings":["University of British Columbia, Vancouver, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5085847990","display_name":"Timur Bagautdinov","orcid":"https://orcid.org/0000-0001-6541-8086"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Timur Bagautdinov","raw_affiliation_strings":["Reality Labs Research, Pittsburgh, USA"],"affiliations":[{"raw_affiliation_string":"Reality Labs Research, Pittsburgh, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5058949470","display_name":"Helge Rhodin","orcid":"https://orcid.org/0000-0003-2692-0801"},"institutions":[{"id":"https://openalex.org/I141945490","display_name":"University of British Columbia","ror":"https://ror.org/03rmrcq20","country_code":"CA","type":"education","lineage":["https://openalex.org/I141945490"]}],"countries":["CA"],"is_corresponding":false,"raw_author_name":"Helge Rhodin","raw_affiliation_strings":["University of British Columbia, Vancouver, Canada"],"affiliations":[{"raw_affiliation_string":"University of British Columbia, Vancouver, Canada","institution_ids":["https://openalex.org/I141945490"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":["https://openalex.org/A5060581117"],"corresponding_institution_ids":["https://openalex.org/I141945490"],"apc_list":{"value":5000,"currency":"EUR","value_usd":5392},"apc_paid":null,"fwci":28.2414,"has_fulltext":false,"cited_by_count":30,"citation_normalized_percentile":{"value":0.9946557,"is_in_top_1_percent":true,"is_in_top_10_percent":true},"cited_by_percentile_year":{"min":90,"max":99},"biblio":{"volume":null,"issue":null,"first_page":"107","last_page":"124"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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"}},"topics":[{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9998000264167786,"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"}},{"id":"https://openalex.org/T10812","display_name":"Human Pose and Action Recognition","score":0.9994000196456909,"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":0.9968000054359436,"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":0.8556872606277466},{"id":"https://openalex.org/keywords/polygon-mesh","display_name":"Polygon mesh","score":0.6860879063606262},{"id":"https://openalex.org/keywords/robustness","display_name":"Robustness (evolution)","score":0.6573715209960938},{"id":"https://openalex.org/keywords/spurious-relationship","display_name":"Spurious relationship","score":0.6122100353240967},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6122068762779236},{"id":"https://openalex.org/keywords/representation","display_name":"Representation (politics)","score":0.4731888771057129},{"id":"https://openalex.org/keywords/deep-neural-networks","display_name":"Deep neural networks","score":0.4699925184249878},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4659700393676758},{"id":"https://openalex.org/keywords/deep-learning","display_name":"Deep learning","score":0.465561181306839},{"id":"https://openalex.org/keywords/graph","display_name":"Graph","score":0.4487994611263275},{"id":"https://openalex.org/keywords/feature-learning","display_name":"Feature learning","score":0.43131330609321594},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.42689359188079834},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.34562018513679504},{"id":"https://openalex.org/keywords/theoretical-computer-science","display_name":"Theoretical computer science","score":0.23943477869033813},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.2094147503376007}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.8556872606277466},{"id":"https://openalex.org/C31487907","wikidata":"https://www.wikidata.org/wiki/Q1154597","display_name":"Polygon mesh","level":2,"score":0.6860879063606262},{"id":"https://openalex.org/C63479239","wikidata":"https://www.wikidata.org/wiki/Q7353546","display_name":"Robustness (evolution)","level":3,"score":0.6573715209960938},{"id":"https://openalex.org/C97256817","wikidata":"https://www.wikidata.org/wiki/Q1462316","display_name":"Spurious relationship","level":2,"score":0.6122100353240967},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6122068762779236},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.4731888771057129},{"id":"https://openalex.org/C2984842247","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep neural networks","level":3,"score":0.4699925184249878},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4659700393676758},{"id":"https://openalex.org/C108583219","wikidata":"https://www.wikidata.org/wiki/Q197536","display_name":"Deep learning","level":2,"score":0.465561181306839},{"id":"https://openalex.org/C132525143","wikidata":"https://www.wikidata.org/wiki/Q141488","display_name":"Graph","level":2,"score":0.4487994611263275},{"id":"https://openalex.org/C59404180","wikidata":"https://www.wikidata.org/wiki/Q17013334","display_name":"Feature learning","level":2,"score":0.43131330609321594},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.42689359188079834},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.34562018513679504},{"id":"https://openalex.org/C80444323","wikidata":"https://www.wikidata.org/wiki/Q2878974","display_name":"Theoretical computer science","level":1,"score":0.23943477869033813},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.2094147503376007},{"id":"https://openalex.org/C55493867","wikidata":"https://www.wikidata.org/wiki/Q7094","display_name":"Biochemistry","level":1,"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},{"id":"https://openalex.org/C104317684","wikidata":"https://www.wikidata.org/wiki/Q7187","display_name":"Gene","level":2,"score":0.0},{"id":"https://openalex.org/C94625758","wikidata":"https://www.wikidata.org/wiki/Q7163","display_name":"Politics","level":2,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0}],"mesh":[],"locations_count":2,"locations":[{"id":"doi:10.1007/978-3-031-20086-1_7","is_oa":false,"landing_page_url":"https://doi.org/10.1007/978-3-031-20086-1_7","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"},{"id":"pmh:oai:pub.uni-bielefeld.de:2992669","is_oa":false,"landing_page_url":"https://pub.uni-bielefeld.de/record/2992669","pdf_url":null,"source":{"id":"https://openalex.org/S4306401670","display_name":"PUB \u2013 Publications at Bielefeld University (Bielefeld University)","issn_l":null,"issn":null,"is_oa":false,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I20121455","host_organization_name":"Bielefeld University","host_organization_lineage":["https://openalex.org/I20121455"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":"submittedVersion","is_accepted":false,"is_published":false,"raw_source_name":"","raw_type":"http://purl.org/coar/resource_type/c_5794"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":52,"referenced_works":["https://openalex.org/W1967554269","https://openalex.org/W2052747804","https://openalex.org/W2118931255","https://openalex.org/W2134484928","https://openalex.org/W2573854917","https://openalex.org/W2576289912","https://openalex.org/W2886799640","https://openalex.org/W2949924544","https://openalex.org/W2962785568","https://openalex.org/W2963627347","https://openalex.org/W2963732450","https://openalex.org/W2974180492","https://openalex.org/W2981637078","https://openalex.org/W3035551320","https://openalex.org/W3035581100","https://openalex.org/W3053462477","https://openalex.org/W3080729128","https://openalex.org/W3101022589","https://openalex.org/W3107471220","https://openalex.org/W3109585842","https://openalex.org/W3110095664","https://openalex.org/W3112108866","https://openalex.org/W3114462840","https://openalex.org/W3117476483","https://openalex.org/W3136656704","https://openalex.org/W3153220274","https://openalex.org/W3154906787","https://openalex.org/W3166229844","https://openalex.org/W3176327543","https://openalex.org/W3176368002","https://openalex.org/W3180225216","https://openalex.org/W3180589757","https://openalex.org/W3182714435","https://openalex.org/W3184952021","https://openalex.org/W3186804687","https://openalex.org/W3201726595","https://openalex.org/W3202366118","https://openalex.org/W3202627061","https://openalex.org/W3202804820","https://openalex.org/W3203570626","https://openalex.org/W3204654630","https://openalex.org/W4200382072","https://openalex.org/W4200502498","https://openalex.org/W4214564845","https://openalex.org/W4214625585","https://openalex.org/W4214748949","https://openalex.org/W4233857083","https://openalex.org/W4256671707","https://openalex.org/W4287643379","https://openalex.org/W4312694728","https://openalex.org/W4313146862","https://openalex.org/W6600007113"],"related_works":["https://openalex.org/W2162899405","https://openalex.org/W3113091479","https://openalex.org/W941090075","https://openalex.org/W2044987316","https://openalex.org/W4377865163","https://openalex.org/W3193857078","https://openalex.org/W3048601286","https://openalex.org/W2888956734","https://openalex.org/W2965925734","https://openalex.org/W3208304128"],"abstract_inverted_index":null,"counts_by_year":[{"year":2025,"cited_by_count":8},{"year":2024,"cited_by_count":12},{"year":2023,"cited_by_count":9},{"year":2022,"cited_by_count":1}],"updated_date":"2026-04-04T16:13:02.066488","created_date":"2025-10-10T00:00:00"}
