1 |
|
Khatib Rajaei |
2021 |
MSc |
Abstracts
|
Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond |
2 |
|
Mataev Gary |
2020 |
MSc |
Abstracts
|
Deep Image Prior Powered by RED |
3 |
|
Cohen Regev |
2020 |
PhD |
Abstracts
|
Variational Inverse Problems with Application to Medical Ultrasound: From Sparsity through Deep Learning to Regularization by Denoising |
4 |
|
Shapiro Stav |
2019 |
MSc |
Abstracts
|
Improving Patch Similarity Measure Using Order Preserving Criterion and Learned Context Features |
5 |
|
Brifman Alon |
2019 |
MSc |
Abstracts
|
Novel Image and Video Super-Resolution Relying on Denoising Algorithms |
6 |
|
Zisselman Vainshtein Ev |
2019 |
MSc |
Abstracts
|
A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model |
7 |
|
Yankelevsky Yael |
2019 |
PhD |
Abstracts
|
Sparsity-Based Processing of Graph Structured Data |
8 |
|
Dar Yehuda |
2019 |
PhD |
Abstracts
|
New Methods for Signal Compression and Their Relations to Restoration Problems |
9 |
|
Boublil David |
2018 |
MSc |
Abstracts
|
Deep Learning for Inverse Problems in Image Restoration |
10 |
|
Romano Yaniv |
2018 |
PhD |
Abstracts
|
Topics in Visual Data Reconstruction |
11 |
|
Sulam Jeremias |
2018 |
PhD |
Abstracts
|
From Local to Global Sparse Modeling |
12 |
|
Ren Yi |
2017 |
MSc |
Abstracts
|
Example-Based Image Synthesis via Randomized Patch-Matching |
13 |
|
Papyan Vardan |
2017 |
PhD |
Abstracts
|
Global Versus Local Modeling of Signals |
14 |
|
Vaksman Gregory |
2016 |
MSc |
Abstracts
|
Solving inverse problems in signal and image processing using reordering of the signal samples |
15 |
|
Rond Arie |
2016 |
MSc |
Abstracts
|
Handling poisson Inverse Problems by the Plug-and-Play Priors Scheme |
16 |
|
Golts Alona |
2016 |
MSc |
Abstracts
|
Linearized Kernel Dictionary Learning |
17 |
|
Ophir Boaz |
2016 |
PhD |
Abstracts
|
Multi Scale Dictionary Learning for Sparse Representation of Images |
18 |
|
Ram Idan |
2015 |
PhD |
Abstracts
|
Wavelets for Graphs and their Deployment to Image Processing |
19 |
|
Peleg Tomer |
2015 |
PhD |
Abstracts
|
Extending Sparsity-Based Models for Signal and Image Processing |
20 |
|
Turek Javier S. |
2015 |
PhD |
Abstracts
|
Topics in Sparse Representation Modeling and Applications |
21 |
|
Adler Amir |
2014 |
PhD |
Abstracts
|
Applications of Sparse and Redundant Representations to Subspace Clustering and Signal Modeling |
22 |
|
Giryes Raja |
2014 |
PhD |
Abstracts
|
Sparsity Models for Signals: Theory and Applications |
23 |
|
Segev Dana |
2012 |
MSc |
Abstracts
|
Visual Audio Denoising |
24 |
|
Rubinstein Ron |
2012 |
PhD |
Abstracts
|
Analysis and Synthesis Sparse Modeling Methods in Image Processing |
25 |
|
Shtok Joseph |
2012 |
PhD |
|
Adaptive Reconstruction Algorithms in Computed Tomography |
26 |
|
Protter Matan |
2011 |
PhD |
Abstracts
|
Processing Images Sequences without Motion Estimation |
27 |
|
Bryt Ori |
2010 |
MSc |
Abstracts
|
Face Image Compression Using Sparse and Redundunt Representations and the K-SVD Algorithm |
28 |
|
Shoham Neta |
2010 |
MSc |
Abstracts
|
Exploiting Sparse Representation for Discriminative Tasks |
29 |
|
Giryes Raja |
2009 |
MSc |
Abstracts
|
Automatic Parameter Tuning for Inverse Problems |
30 |
|
Brueller Raviv |
2008 |
MSc |
Abstracts
|
Image Denoising via Optimal Projection and Shrinkage Operations |
31 |
|
Datsenko Dmitry |
2007 |
MSc |
Abstracts
|
Example-based Regularization in Inverse Problems |
32 |
|
Raboy Svetlana |
2007 |
MSc |
Abstracts
|
On The Recovery of Missing Samples Via Sparsity Conditions |
33 |
|
Kidron Einat |
2006 |
MSc |
Abstracts
|
Audio-Visual Cross-Modal Analysis |
34 |
|
Matalon Boaz |
2006 |
MSc |
Abstracts
|
Bayesian Methodology for Denoising Using Sparse Representations |
35 |
|
Aharon Michal |
2006 |
PhD |
Abstracts
|
Overcomplete Dictionaries for Sparse Representation of Signals |
36 |
|
Aharon Michal |
2004 |
MSc |
Abstracts
|
Representation Analysis and Synthesis of Lip Images Using Dimensionality Reduction |