31 citations · 72 across the 13 of their papers we have counts for
5 papers · 1 filter
Shape Back-Projection In 3D Scenes
Ashish Kumar, L. Behera
In this work, we propose a novel framework shape back-projection for computationally efficient point cloud processing in a probabilistic manner. The primary component of the techni…
Semi Supervised Deep Quick Instance Detection and Segmentation
Ashish Kumar, L. Behera
In this paper, we present a semi supervised deep quick learning framework for instance detection and pixel-wise semantic segmentation of images in a dense clutter of items. The fra…
Real Time Incremental Foveal Texture Mapping for Autonomous Vehicles
Ashish Kumar, James R. McBride, Gaurav Pandey
We propose an end-to-end real time framework to generate high resolution graphics grade textured 3D map of urban environment. The generated detailed map finds its application in th…
Domain Independent Unsupervised Learning to grasp the Novel Objects
Siddhartha Vibhu Pharswan, Mohit Vohra, Ashish Kumar +1
One of the main challenges in the vision-based grasping is the selection of feasible grasp regions while interacting with novel objects. Recent approaches exploit the power of the…
Visual Memory for Robust Path Following
Ashish Kumar, Saurabh Gupta, David Fouhey +2
Humans routinely retrace paths in a novel environment both forwards and backwards despite uncertainty in their motion. This paper presents an approach for doing so. Given a demonst…