{"id":"https://openalex.org/W2984629177","doi":"https://doi.org/10.1145/3355088.3365157","title":"Fast\u00a0Terrain-Adaptive\u00a0Motion\u00a0Generation using\u00a0Deep\u00a0Neural\u00a0Networks","display_name":"Fast\u00a0Terrain-Adaptive\u00a0Motion\u00a0Generation using\u00a0Deep\u00a0Neural\u00a0Networks","publication_year":2019,"publication_date":"2019-11-15","ids":{"openalex":"https://openalex.org/W2984629177","doi":"https://doi.org/10.1145/3355088.3365157","mag":"2984629177"},"language":"en","primary_location":{"id":"doi:10.1145/3355088.3365157","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3355088.3365157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2019 Technical Briefs","raw_type":"proceedings-article"},"type":"conference-paper","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/A5064163425","display_name":"Moonwon Yu","orcid":null},"institutions":[{"id":"https://openalex.org/I4210135449","display_name":"NCSOFT (South Korea)","ror":"https://ror.org/03q4mza74","country_code":"KR","type":"company","lineage":["https://openalex.org/I4210135449"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Moonwon Yu","raw_affiliation_strings":["NCSOFT, Republic of Korea"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NCSOFT, Republic of Korea","institution_ids":["https://openalex.org/I4210135449"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5063800083","display_name":"Byungjun Kwon","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Byungjun Kwon","raw_affiliation_strings":["NCSOFT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NCSOFT","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100322005","display_name":"Jongmin Kim","orcid":"https://orcid.org/0000-0001-6637-8215"},"institutions":[{"id":"https://openalex.org/I165507594","display_name":"Kangwon National University","ror":"https://ror.org/01mh5ph17","country_code":"KR","type":"education","lineage":["https://openalex.org/I165507594"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Jongmin Kim","raw_affiliation_strings":["Kangwon National University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Kangwon National University","institution_ids":["https://openalex.org/I165507594"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5032715085","display_name":"Shin-Jin Kang","orcid":"https://orcid.org/0000-0002-3839-5947"},"institutions":[{"id":"https://openalex.org/I94588446","display_name":"Hongik University","ror":"https://ror.org/00egdv862","country_code":"KR","type":"education","lineage":["https://openalex.org/I94588446"]}],"countries":["KR"],"is_corresponding":false,"raw_author_name":"Shinjin Kang","raw_affiliation_strings":["Hongik University"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"Hongik University","institution_ids":["https://openalex.org/I94588446"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5113689829","display_name":"Hanyoung Jang","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Hanyoung Jang","raw_affiliation_strings":["NCSOFT"],"raw_orcid":null,"affiliations":[{"raw_affiliation_string":"NCSOFT","institution_ids":[]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":3,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":0.8775,"has_fulltext":false,"cited_by_count":3,"citation_normalized_percentile":{"value":0.68887739,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":90,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"57","last_page":"60"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T12290","display_name":"Human Motion and Animation","score":0.9998999834060669,"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":0.9998999834060669,"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":0.9991999864578247,"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/T11439","display_name":"Video Analysis and Summarization","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"}}],"keywords":[{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.7222276926040649},{"id":"https://openalex.org/keywords/trajectory","display_name":"Trajectory","score":0.7144730091094971},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.5989090800285339},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.5844048261642456},{"id":"https://openalex.org/keywords/kinematics","display_name":"Kinematics","score":0.5608021020889282},{"id":"https://openalex.org/keywords/inverse-kinematics","display_name":"Inverse kinematics","score":0.5549356937408447},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.5325751900672913},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.4507552981376648},{"id":"https://openalex.org/keywords/naturalness","display_name":"Naturalness","score":0.4449712634086609},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.43545791506767273},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.43407705426216125},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.14303532242774963}],"concepts":[{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.7222276926040649},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.7144730091094971},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.5989090800285339},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.5844048261642456},{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.5608021020889282},{"id":"https://openalex.org/C17816587","wikidata":"https://www.wikidata.org/wiki/Q1501872","display_name":"Inverse kinematics","level":3,"score":0.5549356937408447},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.5325751900672913},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.4507552981376648},{"id":"https://openalex.org/C134537474","wikidata":"https://www.wikidata.org/wiki/Q17144832","display_name":"Naturalness","level":2,"score":0.4449712634086609},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.43545791506767273},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.43407705426216125},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.14303532242774963},{"id":"https://openalex.org/C1276947","wikidata":"https://www.wikidata.org/wiki/Q333","display_name":"Astronomy","level":1,"score":0.0},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.0},{"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/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.0},{"id":"https://openalex.org/C62520636","wikidata":"https://www.wikidata.org/wiki/Q944","display_name":"Quantum mechanics","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3355088.3365157","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3355088.3365157","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"SIGGRAPH Asia 2019 Technical Briefs","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":6,"referenced_works":["https://openalex.org/W2331128040","https://openalex.org/W2469134594","https://openalex.org/W2606123606","https://openalex.org/W2607626373","https://openalex.org/W2761597926","https://openalex.org/W2963477884"],"related_works":["https://openalex.org/W2029561777","https://openalex.org/W2084494155","https://openalex.org/W2119963650","https://openalex.org/W2972304526","https://openalex.org/W2380210784","https://openalex.org/W2770397302","https://openalex.org/W998473388","https://openalex.org/W2375415610","https://openalex.org/W1996912299","https://openalex.org/W4235013387"],"abstract_inverted_index":{"We":[0,20],"propose":[1],"a":[2,88],"fast":[3],"motion":[4,12,68,104],"adaptation":[5,13],"framework":[6],"using":[7,66,74],"deep":[8,22],"neural":[9,23],"networks.":[10],"Traditionally,":[11],"is":[14,51],"performed":[15],"via":[16],"iterative":[17,28],"numerical":[18],"optimization.":[19],"adopted":[21],"networks":[24,63],"and":[25,59,71,94],"replaced":[26],"the":[27,31,48,75,95,99,103],"process":[29],"with":[30],"feed-forward":[32],"inference":[33],"consisting":[34],"of":[35,53,56,87,90],"simple":[36],"matrix":[37],"multiplications.":[38],"For":[39],"efficient":[40],"mapping":[41],"from":[42],"contact":[43],"constraints":[44],"to":[45],"character":[46],"motion,":[47],"proposed":[49],"system":[50,82],"composed":[52],"two":[54],"types":[55],"networks:":[57],"trajectory":[58],"pose":[60],"generators.":[61],"The":[62],"are":[64,72],"trained":[65],"augmented":[67],"capture":[69,105],"data":[70],"fine-tuned":[73],"inverse":[76],"kinematics":[77],"loss.":[78],"In":[79],"experiments,":[80],"our":[81],"successfully":[83],"generates":[84],"multi-contact":[85],"motions":[86,97],"hundred":[89],"characters":[91],"in":[92,102],"real-time,":[93],"result":[96],"contain":[98],"naturalness":[100],"existing":[101],"data.":[106]},"counts_by_year":[{"year":2024,"cited_by_count":1},{"year":2021,"cited_by_count":2}],"updated_date":"2026-07-29T14:22:42.915294","created_date":"2025-10-10T00:00:00"}
