| WaterGAN: Unsupervised Generative Network to Enable Real-time Color Correction of Monocular Underwater Images J Li, KA Skinner, RM Eustice, M Johnson-Roberson IEEE Robotics and Automation Letters, 8, 2017 | 150 | 2017 |
| Learning to fuse things and stuff J Li, A Raventos, A Bhargava, T Tagawa, A Gaidon arXiv preprint arXiv:1812.01192, 2018 | 50 | 2018 |
| Pose-graph SLAM using forward-looking sonar J Li, M Kaess, RM Eustice, M Johnson-Roberson IEEE Robotics and Automation Letters 3 (3), 2330-2337, 2018 | 28 | 2018 |
| Spigan: Privileged adversarial learning from simulation KH Lee, G Ros, J Li, A Gaidon arXiv preprint arXiv:1810.03756, 2018 | 26 | 2018 |
| High-level visual features for underwater place recognition J Li, RM Eustice, M Johnson-Roberson IEEE International Conference on Robotics and Automation (ICRA), 2015 | 18 | 2015 |
| Semantically-Guided Representation Learning for Self-Supervised Monocular Depth V Guizilini, R Hou, J Li, R Ambrus, A Gaidon arXiv preprint arXiv:2002.12319, 2020 | 17 | 2020 |
| Probabilistic 3d multi-object tracking for autonomous driving H Chiu, A Prioletti, J Li, J Bohg arXiv preprint arXiv:2001.05673, 2020 | 17 | 2020 |
| Utilizing high-dimensional features for real-time robotic applications: Reducing the curse of dimensionality for recursive bayesian estimation J Li, P Ozog, J Abernethy, RM Eustice, M Johnson-Roberson 2016 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2016 | 15 | 2016 |
| Real-Time Panoptic Segmentation from Dense Detections R Hou, J Li, A Bhargava, A Raventos, V Guizilini, C Fang, J Lynch, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 8 | 2020 |
| Underwater robot visual place recognition in the presence of dramatic appearance change J Li, RM Eustice, M Johnson-Roberson OCEANS'15 MTS/IEEE Washington, 2015 | 8 | 2015 |
| Gaussian processes semantic map representation MG Jadidi, L Gan, SA Parkison, J Li, RM Eustice arXiv preprint arXiv:1707.01532, 2017 | 5 | 2017 |
| System and method for generating improved synthetic images GROS SANCHEZ, AD Gaidon, K Lee, J Li US Patent 10,713,569, 2020 | 4 | 2020 |
| Robust semi-supervised monocular depth estimation with reprojected distances V Guizilini, J Li, R Ambrus, S Pillai, A Gaidon Conference on Robot Learning, 503-512, 2020 | 4 | 2020 |
| Multi-altitude multi-sensor fusion framework for AUV exploration and survey J Li, M Johnson-Roberson Oceans 2014, 2014 | 4 | 2014 |
| Two stream networks for self-supervised ego-motion estimation R Ambrus, V Guizilini, J Li, SPA Gaidon Conference on Robot Learning, 1052-1061, 2020 | 3 | 2020 |
| Fusing predictions for end-to-end panoptic segmentation J Li, A Bhargava, ARR KNOHR, AD GAIDON US Patent 10,796,201, 2020 | 1 | 2020 |
| PillarFlow: End-to-end Birds-eye-view Flow Estimation for Autonomous Driving KH Lee, M Kliemann, A Gaidon, J Li, C Fang, S Pillai, W Burgard arXiv e-prints, arXiv: 2008.01179, 2020 | 1 | 2020 |
| Systems and methods for conditional image translation GROS SANCHEZ, AD Gaidon, K Lee, J Li US Patent 10,824,909, 2020 | | 2020 |
| End-to-end Birds-eye-view Flow Estimation for Autonomous Driving KH Lee, M Kliemann, A Gaidon, J Li, C Fang, S Pillai, W Burgard arXiv preprint arXiv:2008.01179, 2020 | | 2020 |
| Adversarial learning of photorealistic post-processing of simulation with privileged information KH Lee, G Ros, AD Gaidon, J Li US Patent 10,643,320, 2020 | | 2020 |
Adrien GaidonHead of Machine Learning Research, Toyota Research Institute (TRI)Verified email at tri.global
