4 citations · 4 across the 5 of their papers we have counts for
6 papers
RSINet: Inpainting Remotely Sensed Images Using Triple GAN Framework
Advait Kumar, Dipesh Tamboli, Shivam Pande +1
We tackle the problem of image inpainting in the remote sensing domain. Remote sensing images possess high resolution and geographical variations, that render the conventional inpa…
Explaining decision of model from its prediction
Dipesh Tamboli
This document summarizes different visual explanations methods such as CAM, Grad-CAM, Localization using Multiple Instance Learning - Saliency-based methods, Saliency-driven Class-…
Saliency-driven Class Impressions for Feature Visualization of Deep Neural Networks
Sravanti Addepalli, Dipesh Tamboli, R. Venkatesh Babu +1
In this paper, we propose a data-free method of extracting Impressions of each class from the classifier's memory. The Deep Learning regime empowers classifiers to extract distinct…
Image-based phenotyping of diverse Rice (Oryza Sativa L.) Genotypes
Mukesh Kumar Vishal, Dipesh Tamboli, Abhijeet Patil +8
Development of either drought-resistant or drought-tolerant varieties in rice (Oryza sativa L.), especially for high yield in the context of climate change, is a crucial task acros…
Fast Design of Plasmonic Metasurfaces Enabled by Deep Learning
Abhishek Mall, Abhijeet Patil, Dipesh Tamboli +2
Metasurfaces is an emerging field that enables the manipulation of light by an ultra-thin structure composed of sub-wavelength antennae and fulfills an important requirement for mi…
Breast Cancer Histopathology Image Classification and Localization using Multiple Instance Learning
Abhijeet Patil, Dipesh Tamboli, Swati Meena +2
Breast cancer has the highest mortality among cancers in women. Computer-aided pathology to analyze microscopic histopathology images for diagnosis with an increasing number of bre…