most citedCardiacGen: A Hierarchical Deep Generative Model for Cardiac Signals

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cs.CV2022

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

Tushar Agarwal, Nithin Sugavanam, Emre Ertin

Generative models learned from training using deep learning methods can be used as priors in inverse under-determined inverse problems, including imaging from sparse set of measure…

cs.CV2020

Sparse Signal Models for Data Augmentation in Deep Learning ATR

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 fo…