Nathaniel Chodosh

According to our database, Nathaniel Chodosh authored at least 7 papers between 2015 and 2023.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2023

ZeroFlow: Fast Zero Label Scene Flow via Distillation.

Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays

CoRR, 2023

Re-Evaluating LiDAR Scene Flow for Autonomous Driving.

Nathaniel Chodosh, Deva Ramanan, Simon Lucey

CoRR, 2023

2020

When to Use Convolutional Neural Networks for Inverse Problems.

Nathaniel Chodosh, Simon Lucey

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

2018

DeepGeo: Photo Localization with Deep Neural Network.

Sudharshan Suresh, Nathaniel Chodosh, Montiel Abello

CoRR, 2018

Deep Convolutional Compressed Sensing for LiDAR Depth Completion.

Nathaniel Chodosh, Chaoyang Wang, Simon Lucey

Proceedings of the Computer Vision - ACCV 2018, 2018

2016

Control of microstructures propelled via bacterial baths.

Elizabeth E. Hunter, Nathaniel Chodosh, Edward B. Steager, Vijay Kumar

Proceedings of the 2016 IEEE International Conference on Robotics and Automation, 2016

2015

Optically addressing microscopic bioactuators for real-time control.

Edward B. Steager, Denise Wong, Nathaniel Chodosh, Vijay Kumar

Proceedings of the IEEE International Conference on Robotics and Automation, 2015