activity
19972026
most citedBASS Net: Band-Adaptive Spectral-Spatial Feature Learning Neural Network for Hyperspectral Image Classification

148 citations · 310 across the 24 of their papers we have counts for

collaborators
Showing 2019Show all

5 papers · 1 filter

cs.LG2019★ 1 cited

ExTra: Transfer-guided Exploration

Anirban Santara, Rishabh Madan, Balaraman Ravindran +1

In this work we present a novel approach for transfer-guided exploration in reinforcement learning that is inspired by the human tendency to leverage experiences from similar encou…

cs.IR2019

PUNCH: Positive UNlabelled Classification based information retrieval in Hyperspectral images

Anirban Santara, Jayeeta Datta, Sourav Sarkar +3

Hyperspectral images of land-cover captured by airborne or satellite-mounted sensors provide a rich source of information about the chemical composition of the materials present in…

cs.CV2019★ 3 cited

Segmentation of Lumen and External Elastic Laminae in Intravascular Ultrasound Images using Ultrasonic Backscattering Physics Initialized Multiscale Random Walks

Debarghya China, Pabitra Mitra, Debdoot Sheet

Coronary artery disease accounts for a large number of deaths across the world and clinicians generally prefer using x-ray computed tomography or magnetic resonance imaging for loc…

cs.CV2019★ 1 cited

SUMNet: Fully Convolutional Model for Fast Segmentation of Anatomical Structures in Ultrasound Volumes

Sumanth Nandamuri, Debarghya China, Pabitra Mitra +1

Ultrasound imaging is generally employed for real-time investigation of internal anatomy of the human body for disease identification. Delineation of the anatomical boundary of org…

cs.CV2019

UltraCompression: Framework for High Density Compression of Ultrasound Volumes using Physics Modeling Deep Neural Networks

Debarghya China, Francis Tom, Sumanth Nandamuri +4

Ultrasound image compression by preserving speckle-based key information is a challenging task. In this paper, we introduce an ultrasound image compression framework with the abili…