374 citations · 941 across the 27 of their papers we have counts for
4 papers · 1 filter
Recurrent Generative Adversarial Networks for Proximal Learning and Automated Compressive Image Recovery
Morteza Mardani, Hatef Monajemi, Vardan Papyan +3
Recovering images from undersampled linear measurements typically leads to an ill-posed linear inverse problem, that asks for proper statistical priors. Building effective priors i…
Multi-Layer Convolutional Sparse Modeling: Pursuit and Dictionary Learning
Jeremias Sulam, Vardan Papyan, Yaniv Romano +1
The recently proposed Multi-Layer Convolutional Sparse Coding (ML-CSC) model, consisting of a cascade of convolutional sparse layers, provides a new interpretation of Convolutional…
Working Locally Thinking Globally: Theoretical Guarantees for Convolutional Sparse Coding
Vardan Papyan, Jeremias Sulam, Michael Elad
The celebrated sparse representation model has led to remarkable results in various signal processing tasks in the last decade. However, despite its initial purpose of serving as a…
Convolutional Dictionary Learning via Local Processing
Vardan Papyan, Yaniv Romano, Jeremias Sulam +1
Convolutional Sparse Coding (CSC) is an increasingly popular model in the signal and image processing communities, tackling some of the limitations of traditional patch-based spars…