MrSARP: A Hierarchical Deep Generative Prior for SAR Image Super-resolution

no code implementations • 30 Nov 2022 • Tushar Agarwal, Nithin Sugavanam, Emre Ertin

We show how this deep generative model can be used to retrieve the high spatial resolution image from low resolution images of the same target.

Image Super-Resolution

CardiacGen: A Hierarchical Deep Generative Model for Cardiac Signals

1 code implementation • 15 Nov 2022 • Tushar Agarwal, Emre Ertin

We present CardiacGen, a Deep Learning framework for generating synthetic but physiologically plausible cardiac signals like ECG.

Data Augmentation Heart Rate Variability

Multigraph Approach Towards a Scalable, Robust look-alike Audience Extension System

1 code implementation • AdKDD 2021 • Ernest Kirubakaran Selvaraj, Tushar Agarwal, Nilamadhaba Mohapatra, Swapnasarit Sahu

One common way of finding the right audience is to find users with traits similar to the users who have responded positively to the campaign in the past.

Sparse Signal Models for Data Augmentation in Deep Learning ATR

1 code implementation • 16 Dec 2020 • Tushar Agarwal, Nithin Sugavanam, Emre Ertin

Automatic Target Recognition (ATR) algorithms classify a given Synthetic Aperture Radar (SAR) image into one of the known target classes using a set of training images available for each class.

Image Augmentation