PhD and MSc Theses

PhD and MSc Theses, since 1988

Advisor PROF. Michael Lindenbaum
Advisor's Email
Advisor's Home-Site
No of theses 34
Department Computer Science
Department Web Site
Student's Name Graduation Year Degree Abstracts Research Name
Glazer Assaf 2014 PhD Abstracts Learning Methods for Modeling High-Dimensional Distributions
Raskin Leonid 2010 PhD Abstracts Dimensionality Reduction for 3D Articulated Body Tracking and Human Action Analysis
Sandler Roman 2010 PhD Abstracts Nonnegative Matrix Factorization for Segmentation Analysis
Leichter Ido 2008 PhD Abstracts Visual Tracking in a General Context via Tracker Combination and Low-Level Cues
Avraham Tamar 2007 PhD Abstracts Visual Attention Processes based on Stochastic Models: Algrorithms and Bounds
Berengolts Alexander 2004 PhD Abstracts Quantitative Approach for Characterizing the Difficulties of Visual Tasks
Wagner Israel 1999 PhD Ant Robotics: Search, Exploration and Covering in Multi-a(Ge)Nt Systems
Amir Arnon 1997 PhD A Quantitative Approach to Perceptual Grouping in Computer Vision
Rozenfeld Stas 2011 PhD Abstracts Improving Model Estimation via Statistical Tools in Computer Vision
Ben-Shabat Yizhak 2019 PhD Abstracts Classification, Segmentation and Geometric Analasis of 3D Point Clouds using Deep Learning
Salman Milena 1997 MSc A Layered Representation of Objects for Filtering and Recognition
Fonaryov Mark 2020 MSc Abstracts In Search of the Minimal Recognizable Patch
Toledano Michal 2006 MSc Abstracts A Learning System for Detection and Characterization of Coronary Arteries Stenosis Using Multi-Detector CT Imaging
Isaacs Or 2021 MSc Abstracts Boundaries and Region Representation Fusion
Dages Thomas 2020 MSc Seeing Things in Random Dot Videos
Kaplan Avi 2017 MSc Abstracts Interpreting the Ratio Criterion for Matching SIFT Descriptors
Baltaxe Michael 2014 MSc Probabilistic Local Variation Segmentation
Peles David 2010 MSc Abstracts Segmentation by Classification
Myaskouvskey Artiom 2010 MSc Abstracts Using A Contrario Methology for Part-Based Object Detection
Devir Zvi 2008 MSc Abstracts Generalized Blind Sampling of Images
Gattegno Gil 2008 MSc Abstracts Object Recognition Using Geometric Hashing Extensions
Golubchyck Roman 2006 MSc Abstracts Improving the Saliency Algorithm by Grouping Cues Optimization
Gavish Moran 2004 MSc Abstracts A Sequential Algorithm for Face Recognition
Hameiri Eyal 2002 MSc Estimating the Principal Curvatures and the Darboux Frame from Real 3D Range Data and its Application to the Recovery of Primitives
Rusakov Dmitry 2000 MSc Selective Sampling for Nearest Neighbor Classifiers
Zemlyak Boris 1997 MSc Direct Depth from Axial Camera Motion
Moss Anna 1996 MSc Quantifying the Reliability of Feature-Based Object Recognition
Golland Polina 1995 MSc Use of Color for Optical Flow Estimation
Urbach Dahlia 2021 MSc Abstracts DPDist: Comparing Point Clouds using Deep Point Cloud Distance
Shayer Oran 2019 MSc Abstracts A Deep learning Approach for Generic Image Segmentation
Osherov Elad 2018 MSc Abstracts Increasing CNN Robustness to Occlusions by Reducing Filter Support
Arbel Noa 2017 MSc Abstracts Inner-Scene Similarities as a Contextual Cue for Object Detection
Brand Yulia 2015 MSc Abstracts Transitive Re-Identification
Jacobson Itzchak 1994 MSc Shape Recognition System Using Interpretation Tree