Search Results for author: Krishna Murthy Jatavallabhula

Found 9 papers, 5 papers with code

Rethinking Optimization with Differentiable Simulation from a Global Perspective

no code implementations28 Jun 2022 Rika Antonova, Jingyun Yang, Krishna Murthy Jatavallabhula, Jeannette Bohg

In this work, we study the challenges that differentiable simulation presents when it is not feasible to expect that a single descent reaches a global optimum, which is often a problem in contact-rich scenarios.

AutoLay: Benchmarking amodal layout estimation for autonomous driving

no code implementations20 Aug 2021 Kaustubh Mani, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna

Given an image or a video captured from a monocular camera, amodal layout estimation is the task of predicting semantics and occupancy in bird's eye view.

Amodal Layout Estimation Autonomous Driving +1

MonoLayout: Amodal scene layout from a single image

2 code implementations19 Feb 2020 Kaustubh Mani, Swapnil Daga, Shubhika Garg, N. Sai Shankar, Krishna Murthy Jatavallabhula, K. Madhava Krishna

We dub this problem amodal scene layout estimation, which involves "hallucinating" scene layout for even parts of the world that are occluded in the image.

Amodal Layout Estimation

gradSLAM: Automagically differentiable SLAM

1 code implementation23 Oct 2019 Krishna Murthy Jatavallabhula, Soroush Saryazdi, Ganesh Iyer, Liam Paull

Blending representation learning approaches with simultaneous localization and mapping (SLAM) systems is an open question, because of their highly modular and complex nature.

Representation Learning Simultaneous Localization and Mapping

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