45 citations · 121 across the 8 of their papers we have counts for
9 papers
Enhanced Signal Recovery via Sparsity Inducing Image Priors
Hojjat Seyed Mousavi
Parsimony in signal representation is a topic of active research. Sparse signal processing and representation is the outcome of this line of research which has many applications in…
Deep Image Super Resolution via Natural Image Priors
Hojjat S. Mousavi, Tiantong Guo, Vishal Monga
Single image super-resolution (SR) via deep learning has recently gained significant attention in the literature. Convolutional neural networks (CNNs) are typically learned to repr…
Orthogonally Regularized Deep Networks For Image Super-resolution
Tiantong Guo, Hojjat S. Mousavi, Vishal Monga
Deep learning methods, in particular trained Convolutional Neural Networks (CNNs) have recently been shown to produce compelling state-of-the-art results for single image Super-Res…
Sparsity-based Color Image Super Resolution via Exploiting Cross Channel Constraints
Hojjat S. Mousavi, Vishal Monga
Sparsity constrained single image super-resolution (SR) has been of much recent interest. A typical approach involves sparsely representing patches in a low-resolution (LR) input i…
Adaptive matching pursuit for sparse signal recovery
Tiep H. Vu, Hojjat S. Mousavi, Vishal Monga
Spike and Slab priors have been of much recent interest in signal processing as a means of inducing sparsity in Bayesian inference. Applications domains that benefit from the use o…
Histopathological Image Classification using Discriminative Feature-oriented Dictionary Learning
Tiep Huu Vu, Hojjat Seyed Mousavi, Vishal Monga +2
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as pre…
ICR: Iterative Convex Refinement for Sparse Signal Recovery Using Spike and Slab Priors
Hojjat S. Mousavi, Vishal Monga, Trac D. Tran
In this letter, we address sparse signal recovery using spike and slab priors. In particular, we focus on a Bayesian framework where sparsity is enforced on reconstruction coeffici…
DFDL: Discriminative Feature-oriented Dictionary Learning for Histopathological Image Classification
Tiep H. Vu, Hojjat S. Mousavi, Vishal Monga +2
In histopathological image analysis, feature extraction for classification is a challenging task due to the diversity of histology features suitable for each problem as well as pre…
Multi-task Image Classification via Collaborative, Hierarchical Spike-and-Slab Priors
Hojjat Seyed Mousavi, Umamahesh Srinivas, Vishal Monga +3
Promising results have been achieved in image classification problems by exploiting the discriminative power of sparse representations for classification (SRC). Recently, it has be…