17 citations · 18 across the 2 of their papers we have counts for
4 papers
MimicGAN: Robust Projection onto Image Manifolds with Corruption Mimicking
Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura +1
In the past few years, Generative Adversarial Networks (GANs) have dramatically advanced our ability to represent and parameterize high-dimensional, non-linear image manifolds. As…
MimicGAN: Corruption-Mimicking for Blind Image Recovery & Adversarial Defense
Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura +1
Solving inverse problems continues to be a central challenge in computer vision. Existing techniques either explicitly construct an inverse mapping using prior knowledge about the…
An Unsupervised Approach to Solving Inverse Problems using Generative Adversarial Networks
Rushil Anirudh, Jayaraman J. Thiagarajan, Bhavya Kailkhura +1
Solving inverse problems continues to be a challenge in a wide array of applications ranging from deblurring, image inpainting, source separation etc. Most existing techniques solv…
MARGIN: Uncovering Deep Neural Networks using Graph Signal Analysis
Rushil Anirudh, Jayaraman J. Thiagarajan, Rahul Sridhar +1
Interpretability has emerged as a crucial aspect of building trust in machine learning systems, aimed at providing insights into the working of complex neural networks that are oth…