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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
10452019
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
3912019
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
1972020
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
1072021
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
562020
Extreme q-learning: Maxent rl without entropy
D Garg, J Hejna, M Geist, S Ermon
arXiv preprint arXiv:2301.02328, 2023
402023
LISA: Learning interpretable skill abstractions from language
D Garg, S Vaidyanath, K Kim, J Song, S Ermon
Advances in Neural Information Processing Systems 35, 21711-21724, 2022
162022
Retrospective on the 2021 minerl BASALT competition on learning from human feedback
R Shah, SH Wang, C Wild, S Milani, A Kanervisto, VG Goecks, ...
NeurIPS 2021 Competitions and Demonstrations Track, 259-272, 2022
72022
Learning to detect touches on cluttered tables
NA Goussies, K Hata, S Prabhakara, A Amit, T Aube, C Cepress, D Chang, ...
arXiv preprint arXiv:2304.04687, 2023
12023
Systems and Methods for Imitation Learning
D Garg
US Patent App. 17/812,672, 2023
12023
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
12022
Systems and Methods for Automated Response to Natural Language Instructions
D Garg, S Vaidyanath
US Patent App. 18/172,969, 2023
2023
Supplementary Material: Wasserstein Distances for Stereo Disparity Estimation
D Garg, Y Wang, B Hariharan, M Campbell, KQ Weinberger, WL Chao
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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