Nathaniel Chodosh

Publication Activity (10 Years)

Years Active: 2015-2024
Publications (10 Years): 12

Top Topics

Convolutional Neural Networks

Object Reconstruction

Top Venues

Publications

Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays
ZeroFlow: Scalable Scene Flow via Distillation. ICLR (2024)
Nathaniel Chodosh, Anish Madan, Deva Ramanan, Simon Lucey
Simultaneous Map and Object Reconstruction. CoRR (2024)
Nathaniel Chodosh, Deva Ramanan, Simon Lucey
Re-Evaluating LiDAR Scene Flow. WACV (2024)
Kyle Vedder, Neehar Peri, Nathaniel Chodosh, Ishan Khatri, Eric Eaton, Dinesh Jayaraman, Yang Liu, Deva Ramanan, James Hays
ZeroFlow: Fast Zero Label Scene Flow via Distillation. CoRR (2023)
Nathaniel Chodosh, Deva Ramanan, Simon Lucey
Re-Evaluating LiDAR Scene Flow for Autonomous Driving. CoRR (2023)
Nathaniel Chodosh, Simon Lucey
When to Use Convolutional Neural Networks for Inverse Problems. CoRR (2020)
Nathaniel Chodosh, Simon Lucey
When to Use Convolutional Neural Networks for Inverse Problems. CVPR (2020)
Sudharshan Suresh, Nathaniel Chodosh, Montiel Abello
DeepGeo: Photo Localization with Deep Neural Network. CoRR (2018)
Nathaniel Chodosh, Chaoyang Wang, Simon Lucey
Deep Convolutional Compressed Sensing for LiDAR Depth Completion. ACCV (1) (2018)
Nathaniel Chodosh, Chaoyang Wang, Simon Lucey
Deep Convolutional Compressed Sensing for LiDAR Depth Completion. CoRR (2018)
Elizabeth E. Hunter, Nathaniel Chodosh, Edward B. Steager, Vijay Kumar
Control of microstructures propelled via bacterial baths. ICRA (2016)
Edward B. Steager, Denise Wong, Nathaniel Chodosh, Vijay Kumar
Optically addressing microscopic bioactuators for real-time control. ICRA (2015)