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Hojjat Seyed Mousavi

4 papers hereh-index 132.8k citations22 works total

Matching runs newest-first, so older work may not be attached to this profile yet.

author position
  • sole author1
  • first author2
  • middle author1

Across the 4 of 4 papers where every author was matched, so the position is known.

fields
  • cs.CV3
  • stat.ML1
same name
  • Hojjat Seyed Mousavi — 2 papers

Either other researchers who publish under this name, or the same person where the external sources have not merged their records.

identity via Semantic Scholar / OpenAlex

most citedICR: Iterative Convex Refinement for Sparse Signal Recovery Using Spike and Slab Priors

34 citations · 34 across the 1 of their papers we have counts for

collaborators

4 papers

cs.CV2018

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…

cs.CV2018

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…

cs.CV2018

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…

stat.ML2015★ 34 cited

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…

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Not affiliated with arXiv. Researcher data from Semantic Scholar (ODC-BY) and OpenAlex.