Nathaniel E. Chodosh

Ph.D. Candidate in the Robotics Institute.

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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

  1. Deep convolutional compressed sensing for lidar depth completion
    Nathaniel Chodosh, Chaoyang Wang, and Simon Lucey
    In Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth, Australia, December 2–6, 2018, Revised Selected Papers, Part I 14, 2019
  2. Optically addressing microscopic bioactuators for real-time control
    Edward B Steager, Denise Wong, Nathaniel Chodosh, and 1 more author
    In 2015 IEEE International Conference on Robotics and Automation (ICRA), 2015
  3. Control of microstructures propelled via bacterial baths
    Elizabeth E Hunter, Nathaniel Chodosh, Edward B Steager, and 1 more author
    In 2016 IEEE International Conference on Robotics and Automation (ICRA), 2016
  4. When to use convolutional neural networks for inverse problems
    Nathaniel Chodosh, and Simon Lucey
    In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
  5. Re-Evaluating LiDAR Scene Flow for Autonomous Driving
    Nathaniel Chodosh, Deva Ramanan, and Simon Lucey
    arXiv preprint arXiv:2304.02150, 2023