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dc.contributor.authorLiu, Zhijian
dc.contributor.authorTang, Haotian
dc.contributor.authorZhu, Sibo
dc.contributor.authorHan, Song
dc.date.accessioned2022-07-12T14:11:58Z
dc.date.available2022-07-12T14:11:58Z
dc.date.issued2021-09-27
dc.identifier.urihttps://hdl.handle.net/1721.1/143675
dc.language.isoen
dc.publisherIEEEen_US
dc.relation.isversionof10.1109/iros51168.2021.9635964en_US
dc.rightsCreative Commons Attribution-Noncommercial-Share Alikeen_US
dc.rights.urihttp://creativecommons.org/licenses/by-nc-sa/4.0/en_US
dc.sourceMIT web domainen_US
dc.titleSemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Lossen_US
dc.typeArticleen_US
dc.identifier.citationLiu, Zhijian, Tang, Haotian, Zhu, Sibo and Han, Song. 2021. "SemAlign: Annotation-Free Camera-LiDAR Calibration with Semantic Alignment Loss." 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.relation.journal2021 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)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.updated2022-07-12T14:06:20Z
dspace.orderedauthorsLiu, Z; Tang, H; Zhu, S; Han, Sen_US
dspace.date.submission2022-07-12T14:07:15Z
mit.licenseOPEN_ACCESS_POLICY
mit.metadata.statusAuthority Work and Publication Information Neededen_US


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