Guy Gilboa - RankMe

114 papers A* 9A 1B 4Misc 1Journal 70Unranked 28

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	DXAI: explaining classification by image decomposition. Vis. Comput. Elnatan Kadar, Guy Gilboa
2026	J	`jnl`	InfoNCE Induces Gaussian Distribution. CoRR Roy Betser, Eyal Gofer, Meir Yossef Levi, Guy Gilboa
2026	J	`jnl`	Make it SING: Analyzing Semantic Invariants in Classifiers. CoRR Harel Yadid, Meir Yossef Levi, Roy Betser, Guy Gilboa
2026	J	`jnl`	SCoCCA: Multi-modal Sparse Concept Decomposition via Canonical Correlation Analysis. CoRR Ehud Gordon, Meir Yossef Levi, Guy Gilboa
2026	J	`jnl`	The Universal Normal Embedding. CoRR Chen Tasker, Roy Betser, Eyal Gofer, Meir Yossef Levi, Guy Gilboa
2026	J	`jnl`	Training-free Detection of Generated Videos via Spatial-Temporal Likelihoods. CoRR Omer Ben Hayun, Roy Betser, Meir Yossef Levi, Levi Kassel, Guy Gilboa
2025	J	`jnl`	Ensemble of Weak Spectral Total Variation Learners: a PET-CT Case Study. CoRR Anna Rosenberg, John A. Kennedy, Zohar Keidar, Yehoshua Y. Zeevi, Guy Gilboa
2025	—	`conf`	Identifying Memorization of Diffusion Models Through p-Laplace Analysis. SSVM (1) Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa
2025	J	`jnl`	Identifying Memorization of Diffusion Models through p-Laplace Analysis. CoRR Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa
2025	A*	`conf`	Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images. ICLR Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa
2025	J	`jnl`	Manifold Induced Biases for Zero-shot and Few-shot Detection of Generated Images. CoRR Jonathan Brokman, Amit Giloni, Omer Hofman, Roman Vainshtein, Hisashi Kojima, Guy Gilboa
2025	—	`conf`	Robustifying Point Cloud Networks by Refocusing. 3DV Meir Yossef Levi, Guy Gilboa
2025	A*	`conf`	The Double-Ellipsoid Geometry of CLIP. ICML Meir Yossef Levi, Guy Gilboa
2025	A*	`conf`	Whitened CLIP as a Likelihood Surrogate of Images and Captions. ICML Roy Betser, Meir Yossef Levi, Guy Gilboa
2025	J	`jnl`	Whitened CLIP as a Likelihood Surrogate of Images and Captions. CoRR Roy Betser, Meir Yossef Levi, Guy Gilboa
2024	J	`jnl`	DXAI: Explaining Classification by Image Decomposition. CoRR Elnatan Kadar, Guy Gilboa
2024	A*	`conf`	Enhancing Neural Training via a Correlated Dynamics Model. ICLR Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa
2024	J	`jnl`	Fast and Simple Explainability for Point Cloud Networks. CoRR Meir Yossef Levi, Guy Gilboa
2024	J	`jnl`	Generalized Inversion of Nonlinear Operators. J. Math. Imaging Vis. Eyal Gofer, Guy Gilboa
2024	J	`jnl`	Spectral Total-variation Processing of Shapes - Theory and Applications. ACM Trans. Graph. Jonathan Brokman, Martin Burger, Guy Gilboa
2024	J	`jnl`	The Double-Ellipsoid Geometry of CLIP. CoRR Meir Yossef Levi, Guy Gilboa
2023	J	`jnl`	Additive Class Distinction Maps using Branched-GANs. CoRR Elnatan Kadar, Jonathan Brokman, Guy Gilboa
2023	A*	`conf`	BASiS: Batch Aligned Spectral Embedding Space. CVPR Or Streicher, Ido Cohen, Guy Gilboa
2023	J	`jnl`	Critical Points ++: An Agile Point Cloud Importance Measure for Robust Classification, Adversarial Defense and Explainable AI. CoRR Meir Yossef Levi, Guy Gilboa
2023	A*	`conf`	EPiC: Ensemble of Partial Point Clouds for Robust Classification. ICCV Meir Yossef Levi, Guy Gilboa
2023	J	`jnl`	EPiC: Ensemble of Partial Point Clouds for Robust Classification. CoRR Meir Yossef Levi, Guy Gilboa
2023	J	`jnl`	Enhancing Neural Training via a Correlated Dynamics Model. CoRR Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa
2023	J	`jnl`	Graph Laplacian for Semi-Supervised Learning. CoRR Or Streicher, Guy Gilboa
2023	—	`conf`	Graph Laplacian for Semi-supervised Learning. SSVM Or Streicher, Guy Gilboa
2023	J	`jnl`	Minimizing Quotient Regularization Model. CoRR Chao Wang, Jean-François Aujol, Guy Gilboa, Yifei Lou
2023	—	`conf`	Theoretical Foundations for Pseudo-Inversion of Nonlinear Operators. SSVM Eyal Gofer, Guy Gilboa
2022	J	`jnl`	Adaptive Anisotropic Total Variation: Analysis and Experimental Findings of Nonlinear Spectral Properties. J. Math. Imaging Vis. Shai Biton, Guy Gilboa
2022	J	`jnl`	Analysis of Branch Specialization and its Application in Image Decomposition. CoRR Jonathan Brokman, Guy Gilboa
2022	J	`jnl`	BASiS: Batch Aligned Spectral Embedding Space. CoRR Or Streicher, Ido Cohen, Guy Gilboa
2022	J	`jnl`	How to Guide Adaptive Depth Sampling? CoRR Ilya Tcenov, Guy Gilboa
2022	J	`jnl`	Spectral Total-Variation Processing of Shapes - Theory and Applications. CoRR Jonathan Brokman, Martin Burger, Guy Gilboa
2022	J	`jnl`	The Underlying Correlated Dynamics in Neural Training. CoRR Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa
2021	J	`jnl`	A Pseudo-Inverse for Nonlinear Operators. CoRR Eyal Gofer, Guy Gilboa
2021	J	`jnl`	Adaptive LiDAR Sampling and Depth Completion Using Ensemble Variance. IEEE Trans. Image Process. Eyal Gofer, Shachar Praisler, Guy Gilboa
2021	J	`jnl`	Modes of Homogeneous Gradient Flows. SIAM J. Imaging Sci. Ido Cohen, Omri Azencot, Pavel Lifshits, Guy Gilboa
2021	J	`jnl`	Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks. SIAM J. Imaging Sci. Leon Bungert, Ester Hait-Fraenkel, Nicolas Papadakis, Guy Gilboa
2021	—	`conf`	Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows. SSVM Jonathan Brokman, Guy Gilboa
2021	A	`conf`	PhIT-Net: Photo-consistent Image Transform for Robust Illumination Invariant Matching. BMVC Damian Kaliroff, Guy Gilboa
2021	J	`jnl`	Revealing stable and unstable modes of denoisers through nonlinear eigenvalue analysis. J. Vis. Commun. Image Represent. Ester Hait-Fraenkel, Guy Gilboa
2021	—	`conf`	Total-Variation Mode Decomposition. SSVM Ido Cohen, Tom Berkov, Guy Gilboa
2020	J	`jnl`	Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance. CoRR Eyal Gofer, Shachar Praisler, Guy Gilboa
2020	A*	`conf`	Deeply Learned Spectral Total Variation Decomposition. NeurIPS Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola B. Schönlieb
2020	J	`jnl`	Deeply Learned Spectral Total Variation Decomposition. CoRR Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola-Bibiane Schönlieb
2020	J	`jnl`	Experts with Lower-Bounded Loss Feedback: A Unifying Framework. CoRR Eyal Gofer, Guy Gilboa
2020	J	`jnl`	Introducing the Signal Process. Ido Cohen, Guy Gilboa
2020	J	`jnl`	Iterative Methods for Computing Eigenvectors of Nonlinear Operators. CoRR Guy Gilboa
2020	J	`jnl`	Mode Decomposition for Homogeneous Symmetric Operators. CoRR Ido Cohen, Omri Azencot, Pavel Lifshitz, Guy Gilboa
2020	A*	`conf`	Super-Pixel Sampler: a Data-driven Approach for Depth Sampling and Reconstruction. ICRA Adam Wolff, Shachar Praisler, Ilya Tcenov, Guy Gilboa
2020	J	`jnl`	Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN. CoRR Alona Baruhov, Guy Gilboa
2019	J	`jnl`	Image-Guided Depth Sampling and Reconstruction. CoRR Adam Wolff, Shachar Praisler, Ilya Tcenov, Guy Gilboa
2019	J	`jnl`	Numeric Solutions of Eigenvalue Problems for Generic Nonlinear Operators. CoRR Ester Hait-Fraenkel, Guy Gilboa
2019	J	`jnl`	Self-Supervised Unconstrained Illumination Invariant Representation. CoRR Damian Kaliroff, Guy Gilboa
2019	J	`jnl`	Spectral Total-Variation Local Scale Signatures for Image Manipulation and Fusion. IEEE Trans. Image Process. Ester Hait, Guy Gilboa
2019	—	`conf`	Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis. SSVM Ido Cohen, Adi Falik, Guy Gilboa
2018	J	`jnl`	A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering. J. Math. Imaging Vis. Martin Welk, Joachim Weickert, Guy Gilboa
2018	J	`jnl`	Energy dissipating flows for solving nonlinear eigenpair problems. J. Comput. Phys. Ido Cohen, Guy Gilboa
2018	J	`jnl`	Flows Generating Nonlinear Eigenfunctions. J. Sci. Comput. Raz Z. Nossek, Guy Gilboa
2018	—	`book`	Nonlinear Eigenproblems in Image Processing and Computer Vision Guy Gilboa
2018	J	`jnl`	Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals. SIAM J. Imaging Sci. Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
2017	J	`jnl`	Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches. IEEE Trans. Image Process. Ester Hait, Guy Gilboa
2017	B	`conf`	In situ target-less calibration of turbid media. ICCP Ori Spier, Tali Treibitz, Guy Gilboa
2017	—	`conf`	Learning Filter Functions in Regularisers by Minimising Quotients. SSVM Martin Benning, Guy Gilboa, Joana Sarah Grah, Carola-Bibiane Schönlieb
2017	—	`conf`	Nonlinear Spectral Image Fusion. SSVM Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2017	J	`jnl`	Nonlinear Spectral Image Fusion. CoRR Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb
2017	J	`jnl`	Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition. J. Math. Imaging Vis. Guy Gilboa
2016	—	`conf`	A Depth Restoration Occlusionless Temporal Dataset. 3DV Daniel Rotman, Guy Gilboa
2016	B	`conf`	Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment. Image Processing Moti Freiman, Yechiel Lamash, Guy Gilboa, Hannes Nickisch, Sven Prevrhal, Holger Schmitt, Mani Vembar, Liran Goshen
2016	J	`jnl`	Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches. CoRR Ester Hait, Guy Gilboa
2016	J	`jnl`	Flows Generating Nonlinear Eigenfunctions. CoRR Raz Z. Nossek, Guy Gilboa
2016	J	`jnl`	Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects. J. Math. Imaging Vis. Guy Gilboa, Michael Möller, Martin Burger
2016	—	`conf`	Robust Recovery of Heavily Degraded Depth Measurements. 3DV Gilad Drozdov, Yevgengy Shapiro, Guy Gilboa
2016	J	`jnl`	Separation Surfaces in the Spectral TV Domain for Texture Decomposition. IEEE Trans. Image Process. Dikla Horesh, Guy Gilboa
2016	J	`jnl`	Spectral Decompositions Using One-Homogeneous Functionals. SIAM J. Imaging Sci. Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers
2016	J	`jnl`	Spectral Decompositions using One-Homogeneous Functionals. CoRR Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers
2015	B	`conf`	A maximal interest-point strategy applied to image enhancement with external priors. ICIP Oren Katzir, Guy Gilboa
2015	—	`conf`	Fundamentals of Non-Local Total Variation Spectral Theory. SSVM Jean-François Aujol, Guy Gilboa, Nicolas Papadakis
2015	A*	`conf`	Learning Nonlinear Spectral Filters for Color Image Reconstruction. ICCV Michael Möller, Julia Diebold, Guy Gilboa, Daniel Cremers
2015	—	`conf`	Multiscale Texture Orientation Analysis Using Spectral Total-Variation Decomposition. SSVM Dikla Horesh, Guy Gilboa
2015	J	`jnl`	Nonlinear Spectral Analysis via One-homogeneous Functionals - Overview and Future Prospects. CoRR Guy Gilboa, Michael Möller, Martin Burger
2015	B	`conf`	On the role of non-local Menger curvature in image processing. ICIP Guy Gilboa, Eli Appleboim, Emil Saucan, Yehoshua Y. Zeevi
2015	J	`jnl`	Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition. CoRR Guy Gilboa
2015	J	`jnl`	Separation Surfaces in the Spectral TV Domain for Texture Decomposition. CoRR Dikla Horesh, Guy Gilboa
2015	—	`conf`	Spectral Representations of One-Homogeneous Functionals. SSVM Martin Burger, Lina Eckardt, Guy Gilboa, Michael Möller
2014	J	`jnl`	A Total Variation Spectral Framework for Scale and Texture Analysis. SIAM J. Imaging Sci. Guy Gilboa
2014	—	`conf`	Nonlinear band-pass filtering using the TV transform. EUSIPCO Guy Gilboa
2013	—	`conf`	A Spectral Approach to Total Variation. SSVM Guy Gilboa
2013	—	`conf`	Expert Regularizers for Task Specific Processing. SSVM Guy Gilboa
2009	—	`conf`	Theoretical Foundations for Discrete Forward-and-Backward Diffusion Filtering. SSVM Martin Welk, Guy Gilboa, Joachim Weickert
2008	J	`jnl`	Nonlinear Scale Space with Spatially Varying Stopping Time. IEEE Trans. Pattern Anal. Mach. Intell. Guy Gilboa
2008	J	`jnl`	Nonlocal Operators with Applications to Image Processing. Multiscale Model. Simul. Guy Gilboa, Stanley J. Osher
2007	J	`jnl`	Nonlocal Linear Image Regularization and Supervised Segmentation. Multiscale Model. Simul. Guy Gilboa, Stanley J. Osher
2007	—	`conf`	Nonlocal evolutions for image regularization. Computational Imaging Guy Gilboa, Stanley J. Osher
2006	J	`jnl`	Constrained and SNR-Based Solutions for J. Math. Imaging Vis. Jean-François Aujol, Guy Gilboa
2006	J	`jnl`	Estimation of optimal PDE-based denoising in the SNR sense. IEEE Trans. Image Process. Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
2006	J	`jnl`	Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection. Int. J. Comput. Vis. Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher
2006	J	`jnl`	Variational denoising of partly textured images by spatially varying constraints. IEEE Trans. Image Process. Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
2005	—	`conf`	Estimation of the Optimal Variational Parameter via SNR Analysis. Scale-Space Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
2005	—	`conf`	Nonlinear Inverse Scale Space Methods for Image Restoration. VLSM Martin Burger, Stanley J. Osher, Jinjun Xu, Guy Gilboa
2005	—	`conf`	Structure-Texture Decomposition by a TV-Gabor Model. VLSM Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher
2004	J	`jnl`	Image Enhancement and Denoising by Complex Diffusion Processes. IEEE Trans. Pattern Anal. Mach. Intell. Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
2004	J	`jnl`	Image Sharpening by Flows Based on Triple Well Potentials. J. Math. Imaging Vis. Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
2003	—	`conf`	PDE-based denoising of complex scenes using a spatially-varying fidelity term. ICIP (1) Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
2002	J	`jnl`	Forward-and-backward diffusion processes for adaptive image enhancement and denoising. IEEE Trans. Image Process. Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
2002	—	`conf`	Regularized Shock Filters and Complex Diffusion. ECCV (1) Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi
2001	—	`conf`	Complex Diffusion Processes for Image Filtering. Scale-Space Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
2001	—	`conf`	Image enhancement segmentation and denoising by time dependent nonlinear diffusion processes. ICIP (3) Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
2000	Misc	`conf`	Anisotropic selective inverse diffusion for signal enhancement in the presence of noise. ICASSP Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen
2000	—	`conf`	Color Image Enhancement by a Forward-and-Backward Adaptive Beltrami Flow. AFPAC Nir A. Sochen, Guy Gilboa, Yehoshua Y. Zeevi
2000	—	`conf`	Signal and image enhancement by a generalized forward-and-backward adaptive diffusion process. EUSIPCO Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen