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Divyansh Garg
Divyansh Garg
Graduate student, Stanford University
Verified email at cornell.edu - Homepage
Title
Cited by
Cited by
Year
Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Y Wang, WL Chao, D Garg, B Hariharan, M Campbell, K Weinberger
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 8445-8453, 2019
5492019
Pseudo-lidar++: Accurate depth for 3d object detection in autonomous driving
Y You, Y Wang, WL Chao, D Garg, G Pleiss, B Hariharan, M Campbell, ...
International Conference on Learning Representations (ICLR) 2020, 2019
1942019
End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection
R Qian, D Garg, Y Wang, Y You, S Belongie, B Hariharan, M Campbell, ...
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 5881-5890, 2020
812020
Wasserstein Distances for Stereo Disparity Estimation
D Garg, Y Wang, B Hariharan, M Campbell, KQ Weinberger, WL Chao
Advances In Neural Information Processing Systems (NeurIPS), 2020
182020
Pseudo-lidar from visual depth estimation: Bridging the gap in 3d object detection for autonomous driving. In 2019 IEEE
Y Wang, WL Chao, D Garg, B Hariharan, M Campbell, KQ Weinberger
CVF Conference on Computer Vision and Pattern Recognition (CVPR) 2, 2019
102019
IQ-Learn: Inverse soft-Q Learning for Imitation
D Garg, S Chakraborty, C Cundy, J Song, S Ermon
Advances In Neural Information Processing Systems (NeurIPS), 2021
52021
Retrospective on the 2021 BASALT Competition on Learning from Human Feedback
R Shah, SH Wang, C Wild, S Milani, A Kanervisto, VG Goecks, ...
arXiv preprint arXiv:2204.07123, 2022
2022
LISA: Learning Interpretable Skill Abstractions from Language
D Garg, S Vaidyanath, K Kim, J Song, S Ermon
arXiv preprint arXiv:2203.00054, 2022
2022
Supplementary Material: Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving
Y Wang, WL Chao, D Garg, B Hariharan, M Campbell, KQ Weinberger
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