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20182023
most citedDUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces

11 citations · 12 across the 6 of their papers we have counts for

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5 papers · 1 filter

cs.CV2022

Estimation of Appearance and Occupancy Information in Birds Eye View from Surround Monocular Images

Sarthak Sharma, Unnikrishnan R. Nair, Udit Singh Parihar +2

Autonomous driving requires efficient reasoning about the location and appearance of the different agents in the scene, which aids in downstream tasks such as object detection, obj…

cs.CV2022

NMR: Neural Manifold Representation for Autonomous Driving

Unnikrishnan R. Nair, Sarthak Sharma, Midhun S. Menon +1

Autonomous driving requires efficient reasoning about the Spatio-temporal nature of the semantics of the scene. Recent approaches have successfully amalgamated the traditional modu…

cs.CV2021

Deep Implicit Surface Point Prediction Networks

Rahul Venkatesh, Tejan Karmali, Sarthak Sharma +4

Deep neural representations of 3D shapes as implicit functions have been shown to produce high fidelity models surpassing the resolution-memory trade-off faced by the explicit repr…

cs.CV202011 cited

DUDE: Deep Unsigned Distance Embeddings for Hi-Fidelity Representation of Complex 3D Surfaces

Rahul Venkatesh, Sarthak Sharma, Aurobrata Ghosh +2

High fidelity representation of shapes with arbitrary topology is an important problem for a variety of vision and graphics applications. Owing to their limited resolution, classic…

cs.CV2019

INFER: INtermediate representations for FuturE pRediction

Shashank Srikanth, Junaid Ahmed Ansari, Karnik Ram R +3

In urban driving scenarios, forecasting future trajectories of surrounding vehicles is of paramount importance. While several approaches for the problem have been proposed, the bes…