Zeevi, Y.
* 1990: Recognition of Distorted Patterns by Invariance Kernels
* 1991: Recognition of Distorted Patterns by Invariance Kernels
* 1994: Signal and image reconstruction from partial Fourier phase
* 1996: Signal- and Image-Component Separation by a Multi-Window Gabor-Type Scheme
* 2002: Texture segmentation via a diffusion-segmentation scheme in the Gabor feature space
Zeevi, Y.Y.
* 1980: Some aspects of motion perception
* 1986: Image Reconstruction from Zero Crossings
* 1988: 3D cuboid scene understanding by a mixed cognitive graph and log-complex mapping paradigm
* 1988: Generalized Gabor Scheme of Image Representation in Biological and Machine Vision, The
* 1988: Pattern Analysis and Texture Discrimination in the Gabor Space
* 1992: Canonical Coordinates Method for Pattern Deformation: Theoretical and Computational Considerations, The
* 1992: Projection-Based Approach to Image Analysis: Pattern Recognition and Representation in the Position-Orientation Space
* 1993: Image analysis by wavelet-type transforms: Group theoretic approach
* 1994: Farthest Point Strategy for Progressive Image Sampling, The
* 1994: Spatio-Chromatic Model for Colour Image Processing
* 1994: Super-Resolution Estimation of Edge Images
* 1995: Nonuniform image representation in area-of-interest systems
* 1996: Design of 2-Dimensional Gradient Estimators Based on One-Dimensional Operators, The
* 1996: Education in image sciences and engineering at the Technion
* 1996: Image representation by level crossings of the wavelet transform
* 1997: Farthest Point Strategy for Progressive Image Sampling, The
* 1998: multi-window Gabor-type analysis of images and multidimensional signals, The
* 1998: Representation and coding of images with nonseparable two-dimensional wavelets
* 1998: Representation of colored images by manifolds embedded in higher dimensional non-Euclidean space
* 1999: Geometric Functional for Gradient Approximation, A
* 2001: Blind Source Separation Using Multinode Sparse Representation
* 2001: Complex diffusion processes for image filtering
* 2001: Gabor Feature Space Diffusion via the Minimal Weighted Area Method
* 2001: Geodesic active contours applied to texture feature space
* 2001: Image Enhancement Segmentation and Denoising by Time Dependent Nonlinear Diffusion Processes
* 2001: Wavelet Representation and Total Variation Regularization in Emission Tomography
* 2002: Forward-and-backward diffusion processes for adaptive image enhancement and denoising
* 2002: Multiresolution approach to three-dimensional stereo vision
* 2002: Regularized Shock Filters and Complex Diffusion
* 2002: Wavelet-based multiresolution stereo vision
* 2003: Blind separation of mixed images using multiscale transforms
* 2003: PDE-based denoising of complex scenes using a spatially-varying fidelity term
* 2003: Separation of reflections via sparse ICA
* 2004: Fast Relative Newton Algorithm for Blind Deconvolution of Images
* 2004: Image Enhancement and Denoising by Complex Diffusion Processes
* 2004: Image Sharpening by Flows Based on Triple Well Potentials
* 2004: Optimal sparse representations for blind source separation and blind deconvolution: a learning approach
* 2005: Blind Deconvolution of Images Using Optimal Sparse Representations
* 2005: Estimation of the Optimal Variational Parameter via SNR Analysis
* 2005: Guest editorial: Special issue on blind source separation and de-convolution in imaging and image processing
* 2005: Scale-Space Generation via Uncertainty Principles
* 2005: Sparse ICA for blind separation of transmitted and reflected images
* 2005: Unmixing Tissues: Sparse Component Analysis in Multi-Contrast MRI
* 2005: Variational blind deconvolution of multi-channel images
* 2006: Estimation of Optimal PDE-Based Denoising in the SNR Sense
* 2006: Integrated Active Contours for Texture Segmentation
* 2006: Quasi-conformal Flat Representation of Triangulated Surfaces for Computerized Tomography
* 2006: Quasi-isometric and Quasi-conformal Development of Triangulated Surfaces for Computerized Tomography
* 2006: Uncertainty Principle: Group Theoretic Approach, Possible Minimizers and Scale-Space Properties, The
* 2006: Variational Denoising of Partly Textured Images by Spatially Varying Constraints
* 2007: Geometric Sampling of Manifolds for Image Representation and Processing
* 2007: Geometric-Functional-Based Image Segmentation and Inpainting, A
* 2007: Image Enhancement Using Elastic Manifolds
* 2007: Telegraph-Diffusion Operator for Image Enhancement
* 2007: Variational Distance-Dependent Image Restoration
* 2008: Blind separation of images obtained by spatially-varying mixing system
* 2008: Local versus Global in Quasi-Conformal Mapping for Medical Imaging
* 2008: Sampling and Reconstruction of Surfaces and Higher Dimensional Manifolds
* 2009: Blind separation of position varying mixed images
* 2009: Combinatorial Ricci Curvature and Laplacians for Image Processing
* 2009: dynamics of image denoising viewed as damped elastic deformation, The
* 2009: Geometric Approach to Measure-Based Metric in Image Segmentation
* 2009: Sampling and Reconstruction of Surfaces and Higher Dimensional Manifolds
* 2010: Sparse Source Separation of Non-instantaneous Spatially Varying Single Path Mixtures
* 2011: Denoising-Enhancing Images on Elastic Manifolds
* 2013: Blind Separation of Time/Position Varying Mixtures
* 2013: Single-image superresolution of self-similar textures
* 2013: Stable denoising-enhancement of images by telegraph-diffusion operators
* 2014: Combining long-range dependencies with phase information in Natural Stochastic Texture enhancement
* 2014: Single-Image Superresolution of Natural Stochastic Textures Based on Fractional Brownian Motion
* 2015: Denoising of natural stochastic colored-textures based on fractional brownian motion model
* 2015: On the role of non-local Menger curvature in image processing
* 2016: Aging Face Recognition: A Hierarchical Learning Model Based on Local Patterns Selection
* 2016: Statistics of Natural Stochastic Textures and Their Application in Image Denoising
* 2019: Blind Deblurring of Natural Stochastic Textures Using an Anisotropic Fractal Model and Phase Retrieval Algorithm
Includes: Zeevi, Y.Y. Zeevi, Y.Y.[Yehoshua Y.] Zeevi, Y.Y.[Yehushua Y.]
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