PhD and MSc Theses
PhD and MSc Theses, since 1988
| Student’s Name |
Graduation Year |
Degree |
Abstracts |
Research Name |
| Vaksman Gregory |
2023 |
PhD |
Abstracts |
Modren Learning Technics for Image and Video Denoising via Patch Matching |
| Kawar Bahjat |
2023 |
PhD |
Abstracts |
Diffusion Models in Image Restoration |
| Golts Alona |
2022 |
PhD |
Abstracts |
Deep Energy: Task Driven Training of Deep Neural Networks |
| Simon Dror |
2021 |
PhD |
Abstracts |
Generative Models: Affecting Current Practice with Traditional Methods |
| Dar Yehuda |
2019 |
PhD |
Abstracts |
New Methods for Signal Compression and Their Relations to Restoration Problems |
| Yankelevsky Yael |
2019 |
PhD |
Abstracts |
Sparsity-Based Processing of Graph Structured Data |
| Sulam Jeremias |
2018 |
PhD |
Abstracts |
From Local to Global Sparse Modeling |
| Papyan Vardan |
2017 |
PhD |
Abstracts |
Global Versus Local Modeling of Signals |
| Turek Javier S. |
2015 |
PhD |
Abstracts |
Topics in Sparse Representation Modeling and Applications |
| Giryes Raja |
2014 |
PhD |
Abstracts |
Sparsity Models for Signals: Theory and Applications |
| Shtok Joseph |
2012 |
PhD |
|
Adaptive Reconstruction Algorithms in Computed Tomography |
| Rubinstein Ron |
2012 |
PhD |
Abstracts |
Analysis and Synthesis Sparse Modeling Methods in Image Processing |
| Protter Matan |
2011 |
PhD |
Abstracts |
Processing Images Sequences without Motion Estimation |
| Ophir Boaz |
2016 |
PhD |
Abstracts |
Multi Scale Dictionary Learning for Sparse Representation of Images |
| Adler Amir |
2014 |
PhD |
Abstracts |
Applications of Sparse and Redundant Representations to Subspace Clustering and Signal Modeling |
| Aharon Michal |
2006 |
PhD |
Abstracts |
Overcomplete Dictionaries for Sparse Representation of Signals |
| Aberdam Aviad |
2022 |
PhD |
Abstracts |
Mathematics and Algorithms for Deep Learning |
| Cohen Regev |
2020 |
PhD |
Abstracts |
Variational Inverse Problems with Application to Medical Ultrasound: From Sparsity through Deep Learning to Regularization by Denoising |
| Romano Yaniv |
2018 |
PhD |
Abstracts |
Topics in Visual Data Reconstruction |
| Ram Idan |
2015 |
PhD |
Abstracts |
Wavelets for Graphs and their Deployment to Image Processing |
| Peleg Tomer |
2015 |
PhD |
Abstracts |
Extending Sparsity-Based Models for Signal and Image Processing |
| Shoham Neta |
2010 |
MSc |
Abstracts |
Exploiting Sparse Representation for Discriminative Tasks |
| Adrai Theo Joseph |
2024 |
MSc |
Abstracts |
Deep Optimal Transport: A Practical Algorithm for Photorealistic Image Restoration |
| Mauda Assaf |
2022 |
MSc |
Abstracts |
Poisson Denoising of Images using Deep Neural Networks Inspired by Classical Dictionary based Algorithms |
| Khatib Rajaei |
2021 |
MSc |
Abstracts |
Learned Greedy Method (LGM): A Novel Neural Architecture for Sparse Coding and Beyond |
| Mataev Gary |
2020 |
MSc |
Abstracts |
Deep Image Prior Powered by RED |
| Brifman Alon |
2019 |
MSc |
Abstracts |
Novel Image and Video Super-Resolution Relying on Denoising Algorithms |
| Ren Yi |
2017 |
MSc |
Abstracts |
Example-Based Image Synthesis via Randomized Patch-Matching |
| Rond Arie |
2016 |
MSc |
Abstracts |
Handling poisson Inverse Problems by the Plug-and-Play Priors Scheme |
| Giryes Raja |
2009 |
MSc |
Abstracts |
Automatic Parameter Tuning for Inverse Problems |
| Datsenko Dmitry |
2007 |
MSc |
Abstracts |
Example-based Regularization in Inverse Problems |
| Aharon Michal |
2004 |
MSc |
Abstracts |
Representation Analysis and Synthesis of Lip Images Using Dimensionality Reduction |
| Shapiro Stav |
2019 |
MSc |
Abstracts |
Improving Patch Similarity Measure Using Order Preserving Criterion and Learned Context Features |
| Zisselman Vainshtein Ev |
2019 |
MSc |
Abstracts |
A Local Block Coordinate Descent Algorithm for the Convolutional Sparse Coding Model |
| Boublil David |
2018 |
MSc |
Abstracts |
Deep Learning for Inverse Problems in Image Restoration |
| Golts Alona |
2016 |
MSc |
Abstracts |
Linearized Kernel Dictionary Learning |
| Vaksman Gregory |
2016 |
MSc |
Abstracts |
Solving inverse problems in signal and image processing using reordering of the signal samples |
| Segev Dana |
2012 |
MSc |
Abstracts |
Visual Audio Denoising |
| Bryt Ori |
2010 |
MSc |
Abstracts |
Face Image Compression Using Sparse and Redundunt Representations and the K-SVD Algorithm |
| Brueller Raviv |
2008 |
MSc |
Abstracts |
Image Denoising via Optimal Projection and Shrinkage Operations |
| Raboy Svetlana |
2007 |
MSc |
Abstracts |
On The Recovery of Missing Samples Via Sparsity Conditions |
| Matalon Boaz |
2006 |
MSc |
Abstracts |
Bayesian Methodology for Denoising Using Sparse Representations |
| Kidron Einat |
2006 |
MSc |
Abstracts |
Audio-Visual Cross-Modal Analysis |