{"id":"https://openalex.org/W3206164929","doi":"https://doi.org/10.1145/3474085.3479235","title":"Learning Kinematic Formulas from Multiple View Videos","display_name":"Learning Kinematic Formulas from Multiple View Videos","publication_year":2021,"publication_date":"2021-10-17","ids":{"openalex":"https://openalex.org/W3206164929","doi":"https://doi.org/10.1145/3474085.3479235","mag":"3206164929"},"language":"en","primary_location":{"id":"doi:10.1145/3474085.3479235","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3479235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","raw_type":"proceedings-article"},"type":"article","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/A5079245916","display_name":"Liangchen Song","orcid":"https://orcid.org/0000-0002-8366-5088"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Liangchen Song","raw_affiliation_strings":["University at Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100319990","display_name":"Sheng Liu","orcid":"https://orcid.org/0000-0001-6033-078X"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Sheng Liu","raw_affiliation_strings":["University at Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5057986011","display_name":"Celong Liu","orcid":"https://orcid.org/0000-0002-6108-7010"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Celong Liu","raw_affiliation_strings":["InnoPeak Technology Inc., Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"InnoPeak Technology Inc., Palo Alto, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100664775","display_name":"Zhong Li","orcid":"https://orcid.org/0000-0001-8870-1108"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Zhong Li","raw_affiliation_strings":["InnoPeak Technology Inc., Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"InnoPeak Technology Inc., Palo Alto, CA, USA","institution_ids":[]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5078357951","display_name":"Yuqi Ding","orcid":"https://orcid.org/0009-0007-4686-5615"},"institutions":[{"id":"https://openalex.org/I121820613","display_name":"Louisiana State University","ror":"https://ror.org/05ect4e57","country_code":"US","type":"education","lineage":["https://openalex.org/I121820613"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Yuqi Ding","raw_affiliation_strings":["Louisiana State University, Baton Rouge, LA, USA"],"affiliations":[{"raw_affiliation_string":"Louisiana State University, Baton Rouge, LA, USA","institution_ids":["https://openalex.org/I121820613"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5018343158","display_name":"Yi Xu","orcid":"https://orcid.org/0000-0003-2126-6054"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Yi Xu","raw_affiliation_strings":["InnoPeak Technology Inc., Palo Alto, CA, USA"],"affiliations":[{"raw_affiliation_string":"InnoPeak Technology Inc., Palo Alto, CA, USA","institution_ids":[]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5085245110","display_name":"Junsong Yuan","orcid":"https://orcid.org/0000-0002-7901-8793"},"institutions":[{"id":"https://openalex.org/I63190737","display_name":"University at Buffalo, State University of New York","ror":"https://ror.org/01y64my43","country_code":"US","type":"education","lineage":["https://openalex.org/I63190737"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Junsong Yuan","raw_affiliation_strings":["University at Buffalo, Buffalo, NY, USA"],"affiliations":[{"raw_affiliation_string":"University at Buffalo, Buffalo, NY, USA","institution_ids":["https://openalex.org/I63190737"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":7,"corresponding_author_ids":["https://openalex.org/A5079245916"],"corresponding_institution_ids":["https://openalex.org/I63190737"],"apc_list":null,"apc_paid":null,"fwci":0.1298,"has_fulltext":false,"cited_by_count":2,"citation_normalized_percentile":{"value":0.46669294,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":95},"biblio":{"volume":null,"issue":null,"first_page":"126","last_page":"134"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11206","display_name":"Model Reduction and Neural Networks","score":0.9987999796867371,"subfield":{"id":"https://openalex.org/subfields/3109","display_name":"Statistical and Nonlinear Physics"},"field":{"id":"https://openalex.org/fields/31","display_name":"Physics and Astronomy"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10531","display_name":"Advanced Vision and Imaging","score":0.998199999332428,"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/T10812","display_name":"Human Pose and Action Recognition","score":0.9965999722480774,"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/kinematics","display_name":"Kinematics","score":0.8258965015411377},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6777341961860657},{"id":"https://openalex.org/keywords/animation","display_name":"Animation","score":0.5206248164176941},{"id":"https://openalex.org/keywords/rendering","display_name":"Rendering (computer graphics)","score":0.4899260401725769},{"id":"https://openalex.org/keywords/inverse-kinematics","display_name":"Inverse kinematics","score":0.4598916172981262},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.45162880420684814},{"id":"https://openalex.org/keywords/computer-animation","display_name":"Computer animation","score":0.44812318682670593},{"id":"https://openalex.org/keywords/motion-capture","display_name":"Motion capture","score":0.43840456008911133},{"id":"https://openalex.org/keywords/differentiable-function","display_name":"Differentiable function","score":0.41605526208877563},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.40061402320861816},{"id":"https://openalex.org/keywords/motion","display_name":"Motion (physics)","score":0.39971598982810974},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.3964172601699829},{"id":"https://openalex.org/keywords/computer-graphics","display_name":"Computer graphics (images)","score":0.22559267282485962},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.18648582696914673},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.1385204792022705},{"id":"https://openalex.org/keywords/mathematical-analysis","display_name":"Mathematical analysis","score":0.12032219767570496},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.11128789186477661},{"id":"https://openalex.org/keywords/classical-mechanics","display_name":"Classical mechanics","score":0.09871238470077515}],"concepts":[{"id":"https://openalex.org/C39920418","wikidata":"https://www.wikidata.org/wiki/Q11476","display_name":"Kinematics","level":2,"score":0.8258965015411377},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6777341961860657},{"id":"https://openalex.org/C502989409","wikidata":"https://www.wikidata.org/wiki/Q11425","display_name":"Animation","level":2,"score":0.5206248164176941},{"id":"https://openalex.org/C205711294","wikidata":"https://www.wikidata.org/wiki/Q176953","display_name":"Rendering (computer graphics)","level":2,"score":0.4899260401725769},{"id":"https://openalex.org/C17816587","wikidata":"https://www.wikidata.org/wiki/Q1501872","display_name":"Inverse kinematics","level":3,"score":0.4598916172981262},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.45162880420684814},{"id":"https://openalex.org/C69369342","wikidata":"https://www.wikidata.org/wiki/Q1401416","display_name":"Computer animation","level":3,"score":0.44812318682670593},{"id":"https://openalex.org/C48007421","wikidata":"https://www.wikidata.org/wiki/Q676252","display_name":"Motion capture","level":3,"score":0.43840456008911133},{"id":"https://openalex.org/C202615002","wikidata":"https://www.wikidata.org/wiki/Q783507","display_name":"Differentiable function","level":2,"score":0.41605526208877563},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.40061402320861816},{"id":"https://openalex.org/C104114177","wikidata":"https://www.wikidata.org/wiki/Q79782","display_name":"Motion (physics)","level":2,"score":0.39971598982810974},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.3964172601699829},{"id":"https://openalex.org/C121684516","wikidata":"https://www.wikidata.org/wiki/Q7600677","display_name":"Computer graphics (images)","level":1,"score":0.22559267282485962},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.18648582696914673},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.1385204792022705},{"id":"https://openalex.org/C134306372","wikidata":"https://www.wikidata.org/wiki/Q7754","display_name":"Mathematical analysis","level":1,"score":0.12032219767570496},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.11128789186477661},{"id":"https://openalex.org/C74650414","wikidata":"https://www.wikidata.org/wiki/Q11397","display_name":"Classical mechanics","level":1,"score":0.09871238470077515}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1145/3474085.3479235","is_oa":false,"landing_page_url":"https://doi.org/10.1145/3474085.3479235","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"Proceedings of the 29th ACM International Conference on Multimedia","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":16,"referenced_works":["https://openalex.org/W2069959554","https://openalex.org/W2073290147","https://openalex.org/W2096044049","https://openalex.org/W2471962767","https://openalex.org/W2605147767","https://openalex.org/W2745110207","https://openalex.org/W2899283552","https://openalex.org/W3043139608","https://openalex.org/W3092021892","https://openalex.org/W3092274450","https://openalex.org/W3108090185","https://openalex.org/W3109585842","https://openalex.org/W3153220274","https://openalex.org/W3174752334","https://openalex.org/W3182714435","https://openalex.org/W3184952021"],"related_works":["https://openalex.org/W2018882065","https://openalex.org/W2121378366","https://openalex.org/W3112102641","https://openalex.org/W2013184069","https://openalex.org/W2535923857","https://openalex.org/W2989004599","https://openalex.org/W126583968","https://openalex.org/W3169129874","https://openalex.org/W4210514273","https://openalex.org/W2379697716"],"abstract_inverted_index":{"Given":[0],"a":[1,76,81,85,116,219],"set":[2],"of":[3,12,41,80,115,118,146,173,186],"multiple":[4,33],"view":[5,34],"videos,":[6],"which":[7,204],"records":[8],"the":[9,20,31,37,49,89,99,108,129,154,171,177,184,190,200,212,223,228,237],"motion":[10,40,82,111],"trajectory":[11],"an":[13,42],"object,":[14],"we":[15,74,92,157,235],"propose":[16],"to":[17,52,126,140,161],"find":[18],"out":[19],"objects'":[21],"kinematic":[22,130],"formulas":[23,131],"with":[24,44,183],"neural":[25],"rendering":[26],"techniques.":[27],"For":[28,88],"example,":[29],"if":[30],"input":[32],"videos":[35],"record":[36],"free":[38,174,192],"fall":[39,175,193],"object":[43],"different":[45],"initial":[46],"speed":[47,230],"v,":[48],"network":[50,83,112],"aims":[51],"learn":[53],"its":[54,163],"kinematics:":[55],"\u0394=vt-1over":[56],"2":[57],"gt2,":[58],"where":[59],"\u0394,":[60],"g":[61],"and":[62,68,84,121,142,149,165,176,225,240],"t":[63],"are":[64],"displacement,":[65],"gravitational":[66],"acceleration":[67],"time.":[69],"To":[70,152],"achieve":[71],"this":[72],"goal,":[73],"design":[75,158],"novel":[77],"framework":[78,136,178,224,244],"consisting":[79],"differentiable":[86,90],"renderer.":[87],"renderer,":[91],"employ":[93],"Neural":[94],"Radiance":[95],"Field":[96],"(NeRF)":[97],"since":[98],"geometry":[100],"is":[101,113,137,170,198],"implicitly":[102],"modeled":[103],"by":[104],"querying":[105],"coordinates":[106],"in":[107,189,222],"space.":[109],"The":[110,134,167,195],"composed":[114],"series":[117],"blending":[119],"functions":[120],"linear":[122],"weights,":[123],"enabling":[124],"us":[125],"analytically":[127],"derive":[128],"after":[132],"training.":[133],"proposed":[135,155],"trained":[138],"end":[139,141],"only":[143],"requires":[144],"knowledge":[145],"cameras'":[147],"intrinsic":[148],"extrinsic":[150],"parameters.":[151],"validate":[153],"framework,":[156],"three":[159],"experiments":[160],"demonstrate":[162,226,241],"effectiveness":[164],"extensibility.":[166],"first":[168],"experiment":[169,197],"video":[172],"can":[179,245],"be":[180],"easily":[181],"combined":[182],"principle":[185],"parsimony,":[187],"resulting":[188],"correct":[191],"kinematics.":[194,209],"second":[196],"on":[199],"large":[201],"angle":[202],"pendulum":[203,216],"does":[205],"not":[206],"have":[207],"analytical":[208],"We":[210],"use":[211],"differential":[213],"equation":[214],"controlling":[215],"dynamics":[217],"as":[218],"physical":[220],"prior":[221],"that":[227,242],"convergence":[229],"becomes":[231],"much":[232],"faster.":[233],"Finally,":[234],"study":[236],"explosion":[238],"animation":[239],"our":[243],"well":[246],"handle":[247],"such":[248],"black-box-generated":[249],"motions.":[250]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-06T03:46:38.306776","created_date":"2025-10-10T00:00:00"}