Guy Gilboa

Publication Activity (10 Years)

Years Active: 2000-2024
Publications (10 Years): 71

Top Topics

Image Decomposition

Spectral Analysis

Total Variation

Top Venues

SIAM J. Imaging Sci.

J. Math. Imaging Vis.

Publications

Meir Yossef Levi, Guy Gilboa
Fast and Simple Explainability for Point Cloud Networks. CoRR (2024)
Jonathan Brokman, Martin Burger, Guy Gilboa
Spectral Total-variation Processing of Shapes - Theory and Applications. ACM Trans. Graph. 43 (2) (2024)
Elnatan Kadar, Guy Gilboa
DXAI: Explaining Classification by Image Decomposition. CoRR (2024)
Eyal Gofer, Guy Gilboa
Generalized Inversion of Nonlinear Operators. J. Math. Imaging Vis. 66 (4) (2024)
Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa
Enhancing Neural Training via a Correlated Dynamics Model. ICLR (2024)
Chao Wang, Jean-François Aujol, Guy Gilboa, Yifei Lou
Minimizing Quotient Regularization Model. CoRR (2023)
Meir Yossef Levi, Guy Gilboa
EPiC: Ensemble of Partial Point Clouds for Robust Classification. CoRR (2023)
Elnatan Kadar, Jonathan Brokman, Guy Gilboa
Additive Class Distinction Maps using Branched-GANs. CoRR (2023)
Meir Yossef Levi, Guy Gilboa
EPiC: Ensemble of Partial Point Clouds for Robust Classification. ICCV (2023)
Eyal Gofer, Guy Gilboa
Theoretical Foundations for Pseudo-Inversion of Nonlinear Operators. SSVM (2023)
Meir Yossef Levi, Guy Gilboa
Critical Points ++: An Agile Point Cloud Importance Measure for Robust Classification, Adversarial Defense and Explainable AI. CoRR (2023)
Or Streicher, Ido Cohen, Guy Gilboa
BASiS: Batch Aligned Spectral Embedding Space. CVPR (2023)
Or Streicher, Guy Gilboa
Graph Laplacian for Semi-Supervised Learning. CoRR (2023)
Or Streicher, Guy Gilboa
Graph Laplacian for Semi-supervised Learning. SSVM (2023)
Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa
Enhancing Neural Training via a Correlated Dynamics Model. CoRR (2023)
Shai Biton, Guy Gilboa
Adaptive Anisotropic Total Variation: Analysis and Experimental Findings of Nonlinear Spectral Properties. J. Math. Imaging Vis. 64 (8) (2022)
Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa
The Underlying Correlated Dynamics in Neural Training. CoRR (2022)
Or Streicher, Ido Cohen, Guy Gilboa
BASiS: Batch Aligned Spectral Embedding Space. CoRR (2022)
Ilya Tcenov, Guy Gilboa
How to Guide Adaptive Depth Sampling? CoRR (2022)
Jonathan Brokman, Martin Burger, Guy Gilboa
Spectral Total-Variation Processing of Shapes - Theory and Applications. CoRR (2022)
Jonathan Brokman, Guy Gilboa
Analysis of Branch Specialization and its Application in Image Decomposition. CoRR (2022)
Jonathan Brokman, Guy Gilboa
Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows. SSVM (2021)
Ido Cohen, Omri Azencot, Pavel Lifshits, Guy Gilboa
Modes of Homogeneous Gradient Flows. SIAM J. Imaging Sci. 14 (3) (2021)
Eyal Gofer, Guy Gilboa
A Pseudo-Inverse for Nonlinear Operators. CoRR (2021)
Leon Bungert, Ester Hait-Fraenkel, Nicolas Papadakis, Guy Gilboa
Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks. SIAM J. Imaging Sci. 14 (3) (2021)
Ester Hait-Fraenkel, Guy Gilboa
Revealing stable and unstable modes of denoisers through nonlinear eigenvalue analysis. J. Vis. Commun. Image Represent. 75 (2021)
Eyal Gofer, Shachar Praisler, Guy Gilboa
Adaptive LiDAR Sampling and Depth Completion Using Ensemble Variance. IEEE Trans. Image Process. 30 (2021)
Damian Kaliroff, Guy Gilboa
PhIT-Net: Photo-consistent Image Transform for Robust Illumination Invariant Matching. BMVC (2021)
Ido Cohen, Tom Berkov, Guy Gilboa
Total-Variation Mode Decomposition. SSVM (2021)
Guy Gilboa
Iterative Methods for Computing Eigenvectors of Nonlinear Operators. CoRR (2020)
Eyal Gofer, Shachar Praisler, Guy Gilboa
Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance. CoRR (2020)
Ido Cohen, Guy Gilboa
-Laplacian spectra. Signal Process. 167 (2020)
Adam Wolff, Shachar Praisler, Ilya Tcenov, Guy Gilboa
Super-Pixel Sampler: a Data-driven Approach for Depth Sampling and Reconstruction. ICRA (2020)
Eyal Gofer, Guy Gilboa
Experts with Lower-Bounded Loss Feedback: A Unifying Framework. CoRR (2020)
Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola-Bibiane Schönlieb
Deeply Learned Spectral Total Variation Decomposition. CoRR (2020)
Ido Cohen, Omri Azencot, Pavel Lifshitz, Guy Gilboa
Mode Decomposition for Homogeneous Symmetric Operators. CoRR (2020)
Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola B. Schönlieb
Deeply Learned Spectral Total Variation Decomposition. NeurIPS (2020)
Alona Baruhov, Guy Gilboa
Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN. CoRR (2020)
Ido Cohen, Adi Falik, Guy Gilboa
Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis. SSVM (2019)
Damian Kaliroff, Guy Gilboa
Self-Supervised Unconstrained Illumination Invariant Representation. CoRR (2019)
Ester Hait-Fraenkel, Guy Gilboa
Numeric Solutions of Eigenvalue Problems for Generic Nonlinear Operators. CoRR (2019)
Adam Wolff, Shachar Praisler, Ilya Tcenov, Guy Gilboa
Image-Guided Depth Sampling and Reconstruction. CoRR (2019)
Ester Hait, Guy Gilboa
Spectral Total-Variation Local Scale Signatures for Image Manipulation and Fusion. IEEE Trans. Image Process. 28 (2) (2019)
Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals. SIAM J. Imaging Sci. 11 (2) (2018)
Martin Welk, Joachim Weickert, Guy Gilboa
A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering. J. Math. Imaging Vis. 60 (9) (2018)
Raz Z. Nossek, Guy Gilboa
Flows Generating Nonlinear Eigenfunctions. J. Sci. Comput. 75 (2) (2018)
Ido Cohen, Guy Gilboa
Energy dissipating flows for solving nonlinear eigenpair problems. J. Comput. Phys. 375 (2018)
Ester Hait, Guy Gilboa
Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches. IEEE Trans. Image Process. 26 (6) (2017)
Ori Spier, Tali Treibitz, Guy Gilboa
In situ target-less calibration of turbid media. ICCP (2017)
Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
Nonlinear Spectral Image Fusion. CoRR (2017)
Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
Nonlinear Spectral Image Fusion. SSVM (2017)
Martin Benning, Guy Gilboa, Joana Sarah Grah, Carola-Bibiane Schönlieb
Learning Filter Functions in Regularisers by Minimising Quotients. SSVM (2017)
Guy Gilboa
Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition. J. Math. Imaging Vis. 57 (1) (2017)
Gilad Drozdov, Yevgengy Shapiro, Guy Gilboa
Robust Recovery of Heavily Degraded Depth Measurements. 3DV (2016)
Daniel Rotman, Guy Gilboa
A Depth Restoration Occlusionless Temporal Dataset. 3DV (2016)
Guy Gilboa, Michael Möller, Martin Burger
Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects. J. Math. Imaging Vis. 56 (2) (2016)
Ester Hait, Guy Gilboa
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches. CoRR (2016)
Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers
Spectral Decompositions using One-Homogeneous Functionals. CoRR (2016)
Dikla Horesh, Guy Gilboa
Separation Surfaces in the Spectral TV Domain for Texture Decomposition. IEEE Trans. Image Process. 25 (9) (2016)
Raz Z. Nossek, Guy Gilboa
Flows Generating Nonlinear Eigenfunctions. CoRR (2016)
Moti Freiman, Yechiel Lamash, Guy Gilboa, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Liran Goshen
Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment. Medical Imaging: Image Processing (2016)
Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers
Spectral Decompositions Using One-Homogeneous Functionals. SIAM J. Imaging Sci. 9 (3) (2016)
Dikla Horesh, Guy Gilboa
Multiscale Texture Orientation Analysis Using Spectral Total-Variation Decomposition. SSVM (2015)
Dikla Horesh, Guy Gilboa
Separation Surfaces in the Spectral TV Domain for Texture Decomposition. CoRR (2015)
Michael Möller, Julia Diebold, Guy Gilboa, Daniel Cremers
Learning Nonlinear Spectral Filters for Color Image Reconstruction. ICCV (2015)
Guy Gilboa, Eli Appleboim, Emil Saucan, Yehoshua Y. Zeevi
On the role of non-local Menger curvature in image processing. ICIP (2015)
Oren Katzir, Guy Gilboa
A maximal interest-point strategy applied to image enhancement with external priors. ICIP (2015)
Martin Burger, Lina Eckardt, Guy Gilboa, Michael Möller
Spectral Representations of One-Homogeneous Functionals. SSVM (2015)
Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
Fundamentals of Non-Local Total Variation Spectral Theory. SSVM (2015)
Guy Gilboa
Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition. CoRR (2015)
Guy Gilboa, Michael Möller, Martin Burger
Nonlinear Spectral Analysis via One-homogeneous Functionals - Overview and Future Prospects. CoRR (2015)
Guy Gilboa
Nonlinear band-pass filtering using the TV transform. EUSIPCO (2014)
Guy Gilboa
A Total Variation Spectral Framework for Scale and Texture Analysis. SIAM J. Imaging Sci. 7 (4) (2014)
Guy Gilboa
Expert Regularizers for Task Specific Processing. SSVM (2013)
Guy Gilboa
A Spectral Approach to Total Variation. SSVM (2013)
Martin Welk, Guy Gilboa, Joachim Weickert
Theoretical Foundations for Discrete Forward-and-Backward Diffusion Filtering. SSVM (2009)
Guy Gilboa
Nonlinear Scale Space with Spatially Varying Stopping Time. IEEE Trans. Pattern Anal. Mach. Intell. 30 (12) (2008)
Guy Gilboa, Stanley J. Osher
Nonlocal Operators with Applications to Image Processing. Multiscale Model. Simul. 7 (3) (2008)
Guy Gilboa, Stanley J. Osher
Nonlocal evolutions for image regularization. Computational Imaging (2007)
Guy Gilboa, Stanley J. Osher
Nonlocal Linear Image Regularization and Supervised Segmentation. Multiscale Model. Simul. 6 (2) (2007)
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
Estimation of optimal PDE-based denoising in the SNR sense. IEEE Trans. Image Process. 15 (8) (2006)
Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher
Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection. Int. J. Comput. Vis. 67 (1) (2006)
Jean-François Aujol, Guy Gilboa
-Hilbert Space Image Denoising. J. Math. Imaging Vis. 26 (1-2) (2006)
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
Variational denoising of partly textured images by spatially varying constraints. IEEE Trans. Image Process. 15 (8) (2006)
Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher
Structure-Texture Decomposition by a TV-Gabor Model. VLSM (2005)
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
Estimation of the Optimal Variational Parameter via SNR Analysis. Scale-Space (2005)
Martin Burger, Stanley J. Osher, Jinjun Xu, Guy Gilboa
Nonlinear Inverse Scale Space Methods for Image Restoration. VLSM (2005)
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
Image Enhancement and Denoising by Complex Diffusion Processes. IEEE Trans. Pattern Anal. Mach. Intell. 26 (8) (2004)
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
Image Sharpening by Flows Based on Triple Well Potentials. J. Math. Imaging Vis. 20 (1-2) (2004)
Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
PDE-based denoising of complex scenes using a spatially-varying fidelity term. ICIP (1) (2003)
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
Regularized Shock Filters and Complex Diffusion. ECCV (1) (2002)
Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
Forward-and-backward diffusion processes for adaptive image enhancement and denoising. IEEE Trans. Image Process. 11 (7) (2002)
Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
Image enhancement segmentation and denoising by time dependent nonlinear diffusion processes. ICIP (3) (2001)
Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
Complex Diffusion Processes for Image Filtering. Scale-Space (2001)
Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
Anisotropic selective inverse diffusion for signal enhancement in the presence of noise. ICASSP (2000)
Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
Signal and image enhancement by a generalized forward-and-backward adaptive diffusion process. EUSIPCO (2000)
Nir A. Sochen, Guy Gilboa, Yehoshua Y. Zeevi
Color Image Enhancement by a Forward-and-Backward Adaptive Beltrami Flow. AFPAC (2000)