activity
20182021
most citedsharpDARTS: Faster and More Accurate Differentiable Architecture Search

35 citations · 46 across the 5 of their papers we have counts for

collaborators

7 papers

cs.CV2021

Memory Guided Road Detection

Praveen Venkatesh, Rwik Rana, Varun Jain

In self driving car applications, there is a requirement to predict the location of the lane given an input RGB front facing image. In this paper, we propose an architecture that a…

cs.CV20195 cited

Synthetic Video Generation for Robust Hand Gesture Recognition in Augmented Reality Applications

Varun Jain, Shivam Aggarwal, Suril Mehta +1

Hand gestures are a natural means of interaction in Augmented Reality and Virtual Reality (AR/VR) applications. Recently, there has been an increased focus on removing the dependen…

cs.CV20195 cited

GestARLite: An On-Device Pointing Finger Based Gestural Interface for Smartphones and Video See-Through Head-Mounts

Varun Jain, Gaurav Garg, Ramakrishna Perla +1

Hand gestures form an intuitive means of interaction in Mixed Reality (MR) applications. However, accurate gesture recognition can be achieved only through state-of-the-art deep le…

cs.HC20191 cited

AirPen: A Touchless Fingertip Based Gestural Interface for Smartphones and Head-Mounted Devices

Varun Jain, Ramya Hebbalaguppe

Hand gestures are an intuitive, socially acceptable, and a non-intrusive interaction modality in Mixed Reality (MR) and smartphone based applications. Unlike speech interfaces, the…

cs.RO2019

An Embodied, Platform-invariant Architecture for Connecting High-level Spatial Commands to Platform Articulation

A. Jang Sher, U. Huzaifa, J. Li +3

In contexts such as teleoperation, robot reprogramming, human-robot-interaction, and neural prosthetics, conveying movement commands to a robotic platform is often a limiting facto…

cs.CV201935 cited

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

Andrew Hundt, Varun Jain, Gregory D. Hager

Neural Architecture Search (NAS) has been a source of dramatic improvements in neural network design, with recent results meeting or exceeding the performance of hand-tuned archite…