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dc.contributor.authorGan, Chuang
dc.contributor.authorGu, Yi
dc.contributor.authorZhou, Siyuan
dc.contributor.authorSchwartz, Jeremy
dc.contributor.authorAlter, Seth
dc.contributor.authorTraer, James
dc.contributor.authorGutfreund, Dan
dc.contributor.authorTenenbaum, Joshua B
dc.contributor.authorMcDermott, Josh H
dc.contributor.authorTorralba, Antonio
dc.date.accessioned2023-03-30T16:35:59Z
dc.date.available2023-03-30T16:35:59Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/1721.1/150014
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/CVPR52688.2022.01027en_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.titleFinding Fallen Objects Via Asynchronous Audio-Visual Integrationen_US
dc.typeArticleen_US
dc.identifier.citationGan, Chuang, Gu, Yi, Zhou, Siyuan, Schwartz, Jeremy, Alter, Seth et al. 2022. "Finding Fallen Objects Via Asynchronous Audio-Visual Integration." 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.versionAuthor's final manuscripten_US
dc.type.urihttp://purl.org/eprint/type/ConferencePaperen_US
eprint.statushttp://purl.org/eprint/status/NonPeerRevieweden_US
dc.date.updated2023-03-30T16:30:15Z
dspace.orderedauthorsGan, C; Gu, Y; Zhou, S; Schwartz, J; Alter, S; Traer, J; Gutfreund, D; Tenenbaum, JB; McDermott, JH; Torralba, Aen_US
dspace.date.submission2023-03-30T16:30:25Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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