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Jie Li
Jie Li
Toyota Research Institute
Verified email at tri.global
Title
Cited by
Cited by
Year
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
3482017
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
1212020
Learning to fuse things and stuff
J Li, A Raventos, A Bhargava, T Tagawa, A Gaidon
arXiv preprint arXiv:1812.01192, 2018
952018
Probabilistic 3d multi-modal, multi-object tracking for autonomous driving
H Chiu, J Li, R Ambruş, J Bohg
2021 IEEE International Conference on Robotics and Automation (ICRA), 14227 …, 2021
892021
Spigan: Privileged adversarial learning from simulation
KH Lee, G Ros, J Li, A Gaidon
arXiv preprint arXiv:1810.03756, 2018
662018
Is pseudo-lidar needed for monocular 3d object detection?
D Park, R Ambrus, V Guizilini, J Li, A Gaidon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
642021
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
532018
Learning to track with object permanence
P Tokmakov, J Li, W Burgard, A Gaidon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
422021
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
422020
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
322020
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
242020
High-level visual features for underwater place recognition
J Li, RM Eustice, M Johnson-Roberson
IEEE International Conference on Robotics and Automation (ICRA), 2015
242015
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
162016
Gaussian processes semantic map representation
MG Jadidi, L Gan, SA Parkison, J Li, RM Eustice
arXiv preprint arXiv:1707.01532, 2017
142017
Two stream networks for self-supervised ego-motion estimation
R Ambrus, V Guizilini, J Li, SPA Gaidon
Conference on Robot Learning, 1052-1061, 2020
122020
Geometric unsupervised domain adaptation for semantic segmentation
V Guizilini, J Li, R Ambruș, A Gaidon
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
82021
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
Multi-altitude multi-sensor fusion framework for AUV exploration and survey
J Li, M Johnson-Roberson
Oceans 2014, 2014
72014
Loctex: Learning data-efficient visual representations from localized textual supervision
Z Liu, S Stent, J Li, J Gideon, S Han
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021
62021
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
2020 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2020
52020
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