{"id":"https://openalex.org/W2999543289","doi":"https://doi.org/10.1109/wacv45572.2020.9093374","title":"Predicting the Physical Dynamics of Unseen 3D Objects","display_name":"Predicting the Physical Dynamics of Unseen 3D Objects","publication_year":2020,"publication_date":"2020-03-01","ids":{"openalex":"https://openalex.org/W2999543289","doi":"https://doi.org/10.1109/wacv45572.2020.9093374","mag":"2999543289"},"language":"en","primary_location":{"id":"doi:10.1109/wacv45572.2020.9093374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","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/A5078529189","display_name":"Davis Rempe","orcid":"https://orcid.org/0000-0003-2256-5507"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":true,"raw_author_name":"Davis Rempe","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5014973945","display_name":"Srinath Sridhar","orcid":"https://orcid.org/0000-0003-4663-3324"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Srinath Sridhar","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100351699","display_name":"He Wang","orcid":"https://orcid.org/0000-0003-1679-0337"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"He Wang","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5065368881","display_name":"Leonidas Guibas","orcid":"https://orcid.org/0000-0002-8315-4886"},"institutions":[{"id":"https://openalex.org/I97018004","display_name":"Stanford University","ror":"https://ror.org/00f54p054","country_code":"US","type":"education","lineage":["https://openalex.org/I97018004"]}],"countries":["US"],"is_corresponding":false,"raw_author_name":"Leonidas J. Guibas","raw_affiliation_strings":["Stanford University"],"affiliations":[{"raw_affiliation_string":"Stanford University","institution_ids":["https://openalex.org/I97018004"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5078529189"],"corresponding_institution_ids":["https://openalex.org/I97018004"],"apc_list":null,"apc_paid":null,"fwci":1.0564,"has_fulltext":false,"cited_by_count":7,"citation_normalized_percentile":{"value":0.71053569,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":97},"biblio":{"volume":null,"issue":null,"first_page":"2823","last_page":"2832"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T10719","display_name":"3D Shape Modeling and Analysis","score":0.9984999895095825,"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":0.9984999895095825,"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/T10481","display_name":"Computer Graphics and Visualization Techniques","score":0.996999979019165,"subfield":{"id":"https://openalex.org/subfields/1704","display_name":"Computer Graphics and Computer-Aided Design"},"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":0.9961000084877014,"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/object","display_name":"Object (grammar)","score":0.6868385076522827},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6849435567855835},{"id":"https://openalex.org/keywords/focus","display_name":"Focus (optics)","score":0.6682748794555664},{"id":"https://openalex.org/keywords/point-cloud","display_name":"Point cloud","score":0.6580379605293274},{"id":"https://openalex.org/keywords/artificial-intelligence","display_name":"Artificial intelligence","score":0.6101375222206116},{"id":"https://openalex.org/keywords/rotation","display_name":"Rotation (mathematics)","score":0.6096360683441162},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.5420800447463989},{"id":"https://openalex.org/keywords/dynamics","display_name":"Dynamics (music)","score":0.5356103777885437},{"id":"https://openalex.org/keywords/position","display_name":"Position (finance)","score":0.5334553718566895},{"id":"https://openalex.org/keywords/state","display_name":"State (computer science)","score":0.49274948239326477},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.4876774549484253},{"id":"https://openalex.org/keywords/point","display_name":"Point (geometry)","score":0.4659970998764038},{"id":"https://openalex.org/keywords/physics-engine","display_name":"Physics engine","score":0.4649803340435028},{"id":"https://openalex.org/keywords/computer-vision","display_name":"Computer vision","score":0.43616583943367004},{"id":"https://openalex.org/keywords/robot","display_name":"Robot","score":0.42738038301467896},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.2655232548713684},{"id":"https://openalex.org/keywords/algorithm","display_name":"Algorithm","score":0.22061780095100403},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.16195154190063477},{"id":"https://openalex.org/keywords/geometry","display_name":"Geometry","score":0.148269385099411},{"id":"https://openalex.org/keywords/physics","display_name":"Physics","score":0.14304837584495544}],"concepts":[{"id":"https://openalex.org/C2781238097","wikidata":"https://www.wikidata.org/wiki/Q175026","display_name":"Object (grammar)","level":2,"score":0.6868385076522827},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6849435567855835},{"id":"https://openalex.org/C192209626","wikidata":"https://www.wikidata.org/wiki/Q190909","display_name":"Focus (optics)","level":2,"score":0.6682748794555664},{"id":"https://openalex.org/C131979681","wikidata":"https://www.wikidata.org/wiki/Q1899648","display_name":"Point cloud","level":2,"score":0.6580379605293274},{"id":"https://openalex.org/C154945302","wikidata":"https://www.wikidata.org/wiki/Q11660","display_name":"Artificial intelligence","level":1,"score":0.6101375222206116},{"id":"https://openalex.org/C74050887","wikidata":"https://www.wikidata.org/wiki/Q848368","display_name":"Rotation (mathematics)","level":2,"score":0.6096360683441162},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.5420800447463989},{"id":"https://openalex.org/C145912823","wikidata":"https://www.wikidata.org/wiki/Q113558","display_name":"Dynamics (music)","level":2,"score":0.5356103777885437},{"id":"https://openalex.org/C198082294","wikidata":"https://www.wikidata.org/wiki/Q3399648","display_name":"Position (finance)","level":2,"score":0.5334553718566895},{"id":"https://openalex.org/C48103436","wikidata":"https://www.wikidata.org/wiki/Q599031","display_name":"State (computer science)","level":2,"score":0.49274948239326477},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.4876774549484253},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.4659970998764038},{"id":"https://openalex.org/C190390380","wikidata":"https://www.wikidata.org/wiki/Q62505","display_name":"Physics engine","level":2,"score":0.4649803340435028},{"id":"https://openalex.org/C31972630","wikidata":"https://www.wikidata.org/wiki/Q844240","display_name":"Computer vision","level":1,"score":0.43616583943367004},{"id":"https://openalex.org/C90509273","wikidata":"https://www.wikidata.org/wiki/Q11012","display_name":"Robot","level":2,"score":0.42738038301467896},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.2655232548713684},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.22061780095100403},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.16195154190063477},{"id":"https://openalex.org/C2524010","wikidata":"https://www.wikidata.org/wiki/Q8087","display_name":"Geometry","level":1,"score":0.148269385099411},{"id":"https://openalex.org/C121332964","wikidata":"https://www.wikidata.org/wiki/Q413","display_name":"Physics","level":0,"score":0.14304837584495544},{"id":"https://openalex.org/C162324750","wikidata":"https://www.wikidata.org/wiki/Q8134","display_name":"Economics","level":0,"score":0.0},{"id":"https://openalex.org/C120665830","wikidata":"https://www.wikidata.org/wiki/Q14620","display_name":"Optics","level":1,"score":0.0},{"id":"https://openalex.org/C24890656","wikidata":"https://www.wikidata.org/wiki/Q82811","display_name":"Acoustics","level":1,"score":0.0},{"id":"https://openalex.org/C10138342","wikidata":"https://www.wikidata.org/wiki/Q43015","display_name":"Finance","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/wacv45572.2020.9093374","is_oa":false,"landing_page_url":"https://doi.org/10.1109/wacv45572.2020.9093374","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2020 IEEE Winter Conference on Applications of Computer Vision (WACV)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":105,"referenced_works":["https://openalex.org/W196214544","https://openalex.org/W1522301498","https://openalex.org/W1920022804","https://openalex.org/W2028827779","https://openalex.org/W2059100041","https://openalex.org/W2110139691","https://openalex.org/W2111239889","https://openalex.org/W2112961542","https://openalex.org/W2118688707","https://openalex.org/W2181623680","https://openalex.org/W2271155703","https://openalex.org/W2293598046","https://openalex.org/W2312995908","https://openalex.org/W2345355764","https://openalex.org/W2528489519","https://openalex.org/W2549964141","https://openalex.org/W2559857813","https://openalex.org/W2560609797","https://openalex.org/W2586029550","https://openalex.org/W2592431710","https://openalex.org/W2613576910","https://openalex.org/W2622672190","https://openalex.org/W2623055298","https://openalex.org/W2736021085","https://openalex.org/W2751471435","https://openalex.org/W2763676071","https://openalex.org/W2769257693","https://openalex.org/W2786615588","https://openalex.org/W2787337315","https://openalex.org/W2789580031","https://openalex.org/W2804072623","https://openalex.org/W2809124645","https://openalex.org/W2809146571","https://openalex.org/W2885596080","https://openalex.org/W2888810615","https://openalex.org/W2890290306","https://openalex.org/W2890370716","https://openalex.org/W2891122218","https://openalex.org/W2895524695","https://openalex.org/W2907414011","https://openalex.org/W2907424612","https://openalex.org/W2950805450","https://openalex.org/W2952915411","https://openalex.org/W2962830928","https://openalex.org/W2962867885","https://openalex.org/W2963019788","https://openalex.org/W2963030226","https://openalex.org/W2963030758","https://openalex.org/W2963143598","https://openalex.org/W2963149945","https://openalex.org/W2963166838","https://openalex.org/W2963207497","https://openalex.org/W2963294969","https://openalex.org/W2963370555","https://openalex.org/W2963402657","https://openalex.org/W2963464736","https://openalex.org/W2963494435","https://openalex.org/W2963766004","https://openalex.org/W2964112890","https://openalex.org/W2964121744","https://openalex.org/W2964173765","https://openalex.org/W2964269434","https://openalex.org/W2967246123","https://openalex.org/W2968042644","https://openalex.org/W2970184844","https://openalex.org/W3103555572","https://openalex.org/W4288643299","https://openalex.org/W4293376383","https://openalex.org/W4294563757","https://openalex.org/W4294568351","https://openalex.org/W4297810741","https://openalex.org/W4302080866","https://openalex.org/W4322614752","https://openalex.org/W4394671432","https://openalex.org/W6607974698","https://openalex.org/W6631190155","https://openalex.org/W6640300118","https://openalex.org/W6677477928","https://openalex.org/W6686008357","https://openalex.org/W6687484953","https://openalex.org/W6693682517","https://openalex.org/W6697152211","https://openalex.org/W6698562335","https://openalex.org/W6705033744","https://openalex.org/W6712884540","https://openalex.org/W6720501231","https://openalex.org/W6729508183","https://openalex.org/W6730420370","https://openalex.org/W6731053120","https://openalex.org/W6734276430","https://openalex.org/W6739227301","https://openalex.org/W6739470913","https://openalex.org/W6744063608","https://openalex.org/W6746530577","https://openalex.org/W6748320467","https://openalex.org/W6748747269","https://openalex.org/W6750305351","https://openalex.org/W6751955834","https://openalex.org/W6752737978","https://openalex.org/W6752744738","https://openalex.org/W6755722174","https://openalex.org/W6757289166","https://openalex.org/W6757865169","https://openalex.org/W6763422710","https://openalex.org/W6767148148"],"related_works":["https://openalex.org/W3016928466","https://openalex.org/W4389574804","https://openalex.org/W2353505378","https://openalex.org/W2615721087","https://openalex.org/W2936725271","https://openalex.org/W3150655618","https://openalex.org/W3108295644","https://openalex.org/W1578717197","https://openalex.org/W2626737336","https://openalex.org/W2005998065"],"abstract_inverted_index":{"Machines":[0],"that":[1,42,80,144],"can":[2,70,128,146],"predict":[3,54,116,148],"the":[4,10,34,55,88,117,139,149],"effect":[5],"of":[6,12,36],"physical":[7],"interactions":[8],"on":[9,32,39],"dynamics":[11,35,72],"previously":[13],"unseen":[14,82,154],"object":[15,75,155],"instances":[16],"are":[17],"important":[18],"for":[19,153],"creating":[20],"better":[21],"robots":[22],"and":[23,62,77,96,100,109,157],"interactive":[24],"virtual":[25],"worlds.":[26],"In":[27,51],"this":[28],"work,":[29,67],"we":[30,53,145],"focus":[31],"predicting":[33],"3D":[37,89],"objects":[38],"a":[40,93,111,135],"plane":[41],"have":[43],"just":[44],"been":[45],"subjected":[46],"to":[47,74,115],"an":[48],"impulsive":[49],"force.":[50],"particular,":[52],"changes":[56,150],"in":[57,120,151],"state-3D":[58],"position,":[59],"rotation,":[60],"velocities,":[61],"stability.":[63],"Different":[64],"from":[65,133],"previous":[66],"our":[68],"approach":[69],"generalize":[71],"predictions":[73],"shapes":[76],"initial":[78,98,158],"conditions":[79],"were":[81],"during":[83],"training.":[84],"Our":[85,126],"method":[86],"takes":[87],"object's":[90],"shape":[91,107],"as":[92,103],"point":[94],"cloud":[95],"its":[97],"linear":[99],"angular":[101],"velocities":[102],"input.":[104],"We":[105],"extract":[106],"features":[108],"use":[110],"recurrent":[112],"neural":[113],"network":[114],"full":[118],"change":[119],"state":[121,152],"at":[122],"each":[123],"time":[124],"step.":[125],"model":[127],"support":[129],"training":[130],"with":[131],"data":[132],"both":[134],"physics":[136],"engine":[137],"or":[138],"real":[140],"world.":[141],"Experiments":[142],"show":[143],"accurately":[147],"geometries":[156],"conditions.":[159]},"counts_by_year":[{"year":2025,"cited_by_count":1},{"year":2023,"cited_by_count":1},{"year":2022,"cited_by_count":3},{"year":2021,"cited_by_count":2}],"updated_date":"2026-01-13T01:12:25.745995","created_date":"2025-10-10T00:00:00"}
