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dc.contributor.authorYen-Chen, Lin
dc.contributor.authorFlorence, Pete
dc.contributor.authorBarron, Jonathan T
dc.contributor.authorRodriguez, Alberto
dc.contributor.authorIsola, Phillip
dc.contributor.authorLin, Tsung-Yi
dc.date.accessioned2022-06-29T18:52:10Z
dc.date.available2022-06-29T18:52:10Z
dc.date.issued2021
dc.identifier.urihttps://hdl.handle.net/1721.1/143603
dc.language.isoen
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)en_US
dc.relation.isversionof10.1109/IROS51168.2021.9636708en_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.titleiNeRF: Inverting Neural Radiance Fields for Pose Estimationen_US
dc.typeArticleen_US
dc.identifier.citationYen-Chen, Lin, Florence, Pete, Barron, Jonathan T, Rodriguez, Alberto, Isola, Phillip et al. 2021. "iNeRF: Inverting Neural Radiance Fields for Pose Estimation." 2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS).
dc.contributor.departmentMassachusetts Institute of Technology. Department of Electrical Engineering and Computer Science
dc.contributor.departmentMassachusetts Institute of Technology. Computer Science and Artificial Intelligence Laboratory
dc.contributor.departmentMassachusetts Institute of Technology. Department of Mechanical Engineering
dc.relation.journal2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)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.updated2022-06-29T18:47:49Z
dspace.orderedauthorsYen-Chen, L; Florence, P; Barron, JT; Rodriguez, A; Isola, P; Lin, T-Yen_US
dspace.date.submission2022-06-29T18:48:00Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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