Show simple item record

dc.contributor.authorHong, Yining
dc.contributor.authorMo, Kaichun
dc.contributor.authorYi, Li
dc.contributor.authorGuibas, Leonidas J
dc.contributor.authorTorralba, Antonio
dc.contributor.authorTenenbaum, Joshua B
dc.contributor.authorGan, Chuang
dc.date.accessioned2023-04-04T16:56:52Z
dc.date.available2023-04-04T16:56:52Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/150401
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/CVPR52688.2022.00147en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourcearXiven_US
dc.titleFixing Malfunctional Objects With Learned Physical Simulation and Functional Predictionen_US
dc.typeArticleen_US
dc.identifier.citationHong, Yining, Mo, Kaichun, Yi, Li, Guibas, Leonidas J, Torralba, Antonio et al. 2022. "Fixing Malfunctional Objects With Learned Physical Simulation and Functional Prediction." 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Brain and Cognitive Sciencesen_US
dc.relation.journal2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)en_US
dc.eprint.versionOriginal manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-04-04T16:42:52Z
dspace.orderedauthorsHong, Y; Mo, K; Yi, L; Guibas, LJ; Torralba, A; Tenenbaum, JB; Gan, Cen_US
dspace.date.submission2023-04-04T16:43:14Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


Files in this item

Thumbnail

This item appears in the following Collection(s)

Show simple item record