Jie Li
Jie Li
Toyota Research Institute
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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
1502017
Learning to fuse things and stuff
J Li, A Raventos, A Bhargava, T Tagawa, A Gaidon
arXiv preprint arXiv:1812.01192, 2018
502018
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
282018
Spigan: Privileged adversarial learning from simulation
KH Lee, G Ros, J Li, A Gaidon
arXiv preprint arXiv:1810.03756, 2018
262018
High-level visual features for underwater place recognition
J Li, RM Eustice, M Johnson-Roberson
IEEE International Conference on Robotics and Automation (ICRA), 2015
182015
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
172020
Probabilistic 3d multi-object tracking for autonomous driving
H Chiu, A Prioletti, J Li, J Bohg
arXiv preprint arXiv:2001.05673, 2020
172020
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
152016
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
82020
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
82015
Gaussian processes semantic map representation
MG Jadidi, L Gan, SA Parkison, J Li, RM Eustice
arXiv preprint arXiv:1707.01532, 2017
52017
System and method for generating improved synthetic images
GROS SANCHEZ, AD Gaidon, K Lee, J Li
US Patent 10,713,569, 2020
42020
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
42020
Multi-altitude multi-sensor fusion framework for AUV exploration and survey
J Li, M Johnson-Roberson
Oceans 2014, 2014
42014
Two stream networks for self-supervised ego-motion estimation
R Ambrus, V Guizilini, J Li, SPA Gaidon
Conference on Robot Learning, 1052-1061, 2020
32020
Fusing predictions for end-to-end panoptic segmentation
J Li, A Bhargava, ARR KNOHR, AD GAIDON
US Patent 10,796,201, 2020
12020
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
12020
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
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