Nathaniel E. Chodosh
Ph.D. Candidate in the Robotics Institute.
212 Elliott Dunlap Smith Hall
4802 Forbes Avenue
Pittsburgh, PA 15213
I am a Ph.D. candidate in the Carnegie Mellon University Robotics Institute working under the supervision of Simon Lucey and Deva Ramanan. My research is focused on motion and geometry estimation from LiDAR sensors used in autonomous driving. I anticipate graduating in spring 2024 and will be on the academic job market fall 2023 looking for tenure track positions and post-docs.
selected publications
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Deep convolutional compressed sensing for lidar depth completionIn Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part I 14, 2019
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Optically addressing microscopic bioactuators for real-time controlIn 2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
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Control of microstructures propelled via bacterial bathsIn 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016
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When to use convolutional neural networks for inverse problemsIn Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
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Re-Evaluating LiDAR Scene Flow for Autonomous DrivingarXiv preprint arXiv:2304.02150, 2023