31 citations · 81 across the 19 of their papers we have counts for
4 papers · 2 filters
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…
DeepMI: A Mutual Information Based Framework For Unsupervised Deep Learning of Tasks
Ashish Kumar, Laxmidhar Behera
In this work, we propose an information theory based framework DeepMI to train deep neural networks (DNN) using Mutual Information (MI). The DeepMI framework is especially targeted…