| Deep convolutional compressed sensing for lidar depth completion N Chodosh, C Wang, S Lucey Computer Vision–ACCV 2018: 14th Asian Conference on Computer Vision, Perth …, 2019 | 129 | 2019 |
| Re-evaluating lidar scene flow for autonomous driving N Chodosh, D Ramanan, S Lucey arXiv preprint arXiv:2304.02150, 2023 | 12 | 2023 |
| When to use convolutional neural networks for inverse problems N Chodosh, S Lucey Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 9 | 2020 |
| Optically addressing microscopic bioactuators for real-time control EB Steager, D Wong, N Chodosh, V Kumar 2015 IEEE International Conference on Robotics and Automation (ICRA), 3519-3524, 2015 | 8 | 2015 |
| Zeroflow: Fast zero label scene flow via distillation K Vedder, N Peri, N Chodosh, I Khatri, E Eaton, D Jayaraman, Y Liu, ... arXiv preprint arXiv:2305.10424 3 (4), 2023 | 7 | 2023 |
| DeepGeo: Photo localization with deep neural network S Suresh, N Chodosh, M Abello arXiv preprint arXiv:1810.03077, 2018 | 7 | 2018 |
| Control of microstructures propelled via bacterial baths EE Hunter, N Chodosh, EB Steager, V Kumar 2016 IEEE International Conference on Robotics and Automation (ICRA), 1693-1700, 2016 | 6 | 2016 |
| ZeroFlow: Scalable Scene Flow via Distillation K Vedder, N Peri, N Chodosh, I Khatri, E Eaton, D Jayaraman, Y Liu, ... arXiv preprint arXiv:2305.10424, 2023 | 2 | 2023 |
| Re-Evaluating LiDAR Scene Flow N Chodosh, D Ramanan, S Lucey Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2024 | 1 | 2024 |
| Simultaneous Map and Object Reconstruction N Chodosh, A Madan, D Ramanan, S Lucey arXiv preprint arXiv:2406.13896, 2024 | | 2024 |
Simon LuceyProfessor, University of Adelaide在 adelaide.edu 的电子邮件经过验证
