124 citations · 657 across the 40 of their papers we have counts for
3 papers · 1 filter
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…
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…
On the Global-Local Dichotomy in Sparsity Modeling
Dmitry Batenkov, Yaniv Romano, Michael Elad
The traditional sparse modeling approach, when applied to inverse problems with large data such as images, essentially assumes a sparse model for small overlapping data patches. Wh…