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Krishna Murthy Jatavallabhula

AutoLay: Benchmarking amodal layout estimation for autonomous driving

Aug 20, 2021
Kaustubh Mani, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna

* published in 2020 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) 

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gradSim: Differentiable simulation for system identification and visuomotor control

Apr 06, 2021
Krishna Murthy Jatavallabhula, Miles Macklin, Florian Golemo, Vikram Voleti, Linda Petrini, Martin Weiss, Breandan Considine, Jerome Parent-Levesque, Kevin Xie, Kenny Erleben, Liam Paull, Florian Shkurti, Derek Nowrouzezahrai, Sanja Fidler

* ICLR 2021. Project page (and a dynamic web version of the article): 

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DRACO: Weakly Supervised Dense Reconstruction And Canonicalization of Objects

Nov 25, 2020
Rahul Sajnani, AadilMehdi Sanchawala, Krishna Murthy Jatavallabhula, Srinath Sridhar, K. Madhava Krishna

* Preprint. For project page and code, see 

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RobustPointSet: A Dataset for Benchmarking Robustness of Point Cloud Classifiers

Nov 25, 2020
Saeid Asgari Taghanaki, Jieliang Luo, Ran Zhang, Ye Wang, Pradeep Kumar Jayaraman, Krishna Murthy Jatavallabhula

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MonoLayout: Amodal scene layout from a single image

Feb 19, 2020
Kaustubh Mani, Swapnil Daga, Shubhika Garg, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna

* To be presented at WACV 2020 Video: Project page: 

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Kaolin: A PyTorch Library for Accelerating 3D Deep Learning Research

Nov 13, 2019
Krishna Murthy Jatavallabhula, Edward Smith, Jean-Francois Lafleche, Clement Fuji Tsang, Artem Rozantsev, Wenzheng Chen, Tommy Xiang, Rev Lebaredian, Sanja Fidler

* Kaolin is available as open-source software at 

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gradSLAM: Dense SLAM meets Automatic Differentiation

Oct 23, 2019
Krishna Murthy Jatavallabhula, Ganesh Iyer, Liam Paull

* Video: . Project page: 

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