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Retrospective on the 2021 BASALT Competition on Learning from Human Feedback


Apr 14, 2022
Rohin Shah, Steven H. Wang, Cody Wild, Stephanie Milani, Anssi Kanervisto, Vinicius G. Goecks, Nicholas Waytowich, David Watkins-Valls, Bharat Prakash, Edmund Mills, Divyansh Garg, Alexander Fries, Alexandra Souly, Chan Jun Shern, Daniel del Castillo, Tom Lieberum

* Accepted to the PMLR NeurIPS 2021 Demo & Competition Track volume 

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LISA: Learning Interpretable Skill Abstractions from Language


Feb 28, 2022
Divyansh Garg, Skanda Vaidyanath, Kuno Kim, Jiaming Song, Stefano Ermon


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IQ-Learn: Inverse soft-Q Learning for Imitation


Jun 23, 2021
Divyansh Garg, Shuvam Chakraborty, Chris Cundy, Jiaming Song, Stefano Ermon


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Wasserstein Distances for Stereo Disparity Estimation


Jul 06, 2020
Divyansh Garg, Yan Wang, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao


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End-to-End Pseudo-LiDAR for Image-Based 3D Object Detection


Apr 07, 2020
Rui Qian, Divyansh Garg, Yan Wang, Yurong You, Serge Belongie, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger, Wei-Lun Chao

* Accepted to 2020 Conference on Computer Vision and Pattern Recognition (CVPR 2020) 

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Pseudo-LiDAR++: Accurate Depth for 3D Object Detection in Autonomous Driving


Jun 14, 2019
Yurong You, Yan Wang, Wei-Lun Chao, Divyansh Garg, Geoff Pleiss, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger


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Pseudo-LiDAR from Visual Depth Estimation: Bridging the Gap in 3D Object Detection for Autonomous Driving


Jan 18, 2019
Yan Wang, Wei-Lun Chao, Divyansh Garg, Bharath Hariharan, Mark Campbell, Kilian Q. Weinberger


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