Nathaniel E. Chodosh
Assistant Professor of CS at Villanova University.
292d Mendel Hall
nchodosh at villanova.edu
I am an Assistant Professor in the Department of Computing Sciences at Villanova University. My research focuses on computer vision , and specifically on autonomous driving and LiDAR-based sensing. I am particularly interested in analysis by synthesis, the machine learning approach wherein inferences are made by comparing hypothetical world-states produced by a world-model to actual measurements. My work has been published at venues including CVPR, ICLR, WACV, 3DV, and ACCV.
I received my PhD from the Robotics Institute at Carnegie Mellon University, where I was advised by Simon Lucey and Deva Ramanan. Prior to that, I received my BSE from the University of Pennsylvania, where I worked with Vijay Kumar and Jianbo Shi. I have also been lucky enough to collaborate on research with Argo AI (now Latitutde AI) and the Pittsburgh Pirates.
selected publications
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Simultaneous Map and Object ReconstructionIn International Conference on 3D Vision (3DV), 2025
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(Best Paper Finalist) Re-Evaluating LiDAR Scene Flow for Autonomous DrivingIn Winter Conference on Applications of Computer Vision (WACV), 2024
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ZeroFlow: Fast Zero Label Scene Flow via DistillationIn International Conference on Learning Representations (ICLR), 2024
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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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Deep convolutional compressed sensing for lidar depth completionIn Asian Conference on Computer Vision (ACCV), 2019
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Control of microstructures propelled via bacterial bathsIn International Conference on Robotics and Automation (ICRA), 2016
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Optically addressing microscopic bioactuators for real-time controlIn International Conference on Robotics and Automation (ICRA), 2015