Guy Gilboa

CoRR, 2024

DXAI: Explaining Classification by Image Decomposition.

[BibT_eX]

[DOI]

Elnatan Kadar

CoRR, 2024

2023

Enhancing Neural Training via a Correlated Dynamics Model.

[BibT_eX]

[DOI]

CoRR, 2023

Critical Points ++: An Agile Point Cloud Importance Measure for Robust Classification, Adversarial Defense and Explainable AI.

[BibT_eX]

[DOI]

Meir Yossef Levi

CoRR, 2023

Minimizing Quotient Regularization Model.

[BibT_eX]

[DOI]

CoRR, 2023

Additive Class Distinction Maps using Branched-GANs.

[BibT_eX]

[DOI]

Elnatan Kadar

CoRR, 2023

Graph Laplacian for Semi-supervised Learning.

[BibT_eX]

[DOI]

Or Streicher

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Theoretical Foundations for Pseudo-Inversion of Nonlinear Operators.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

EPiC: Ensemble of Partial Point Clouds for Robust Classification.

[BibT_eX]

[DOI]

Meir Yossef Levi

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

BASiS: Batch Aligned Spectral Embedding Space.

[BibT_eX]

[DOI]

Or Streicher

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Adaptive Anisotropic Total Variation: Analysis and Experimental Findings of Nonlinear Spectral Properties.

[BibT_eX]

[DOI]

Shai Biton

J. Math. Imaging Vis., 2022

The Underlying Correlated Dynamics in Neural Training.

[BibT_eX]

[DOI]

CoRR, 2022

Spectral Total-Variation Processing of Shapes - Theory and Applications.

[BibT_eX]

[DOI]

Martin Burger

CoRR, 2022

Analysis of Branch Specialization and its Application in Image Decomposition.

[BibT_eX]

[DOI]

CoRR, 2022

How to Guide Adaptive Depth Sampling?

[BibT_eX]

[DOI]

Ilya Tcenov

CoRR, 2022

2021

Adaptive LiDAR Sampling and Depth Completion Using Ensemble Variance.

[BibT_eX]

[DOI]

Shachar Praisler

IEEE Trans. Image Process., 2021

Modes of Homogeneous Gradient Flows.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2021

Nonlinear Power Method for Computing Eigenvectors of Proximal Operators and Neural Networks.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2021

Revealing stable and unstable modes of denoisers through nonlinear eigenvalue analysis.

[BibT_eX]

[DOI]

Ester Hait-Fraenkel

J. Vis. Commun. Image Represent., 2021

A Pseudo-Inverse for Nonlinear Operators.

[BibT_eX]

[DOI]

CoRR, 2021

Total-Variation Mode Decomposition.

[BibT_eX]

[DOI]

Tom Berkov

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

PhIT-Net: Photo-consistent Image Transform for Robust Illumination Invariant Matching.

[BibT_eX]

[DOI]

Damian Kaliroff

Proceedings of the 32nd British Machine Vision Conference 2021, 2021

2020

Introducing the <i>p</i>-Laplacian spectra.

[BibT_eX]

[DOI]

Signal Process., 2020

Experts with Lower-Bounded Loss Feedback: A Unifying Framework.

[BibT_eX]

[DOI]

CoRR, 2020

Iterative Methods for Computing Eigenvectors of Nonlinear Operators.

[BibT_eX]

[DOI]

CoRR, 2020

Mode Decomposition for Homogeneous Symmetric Operators.

[BibT_eX]

[DOI]

CoRR, 2020

Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN.

[BibT_eX]

[DOI]

Alona Baruhov

CoRR, 2020

Deeply Learned Spectral Total Variation Decomposition.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Super-Pixel Sampler: a Data-driven Approach for Depth Sampling and Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

Spectral Total-Variation Local Scale Signatures for Image Manipulation and Fusion.

[BibT_eX]

[DOI]

Ester Hait

IEEE Trans. Image Process., 2019

Self-Supervised Unconstrained Illumination Invariant Representation.

[BibT_eX]

[DOI]

Damian Kaliroff

CoRR, 2019

Numeric Solutions of Eigenvalue Problems for Generic Nonlinear Operators.

[BibT_eX]

[DOI]

Ester Hait-Fraenkel

CoRR, 2019

Image-Guided Depth Sampling and Reconstruction.

[BibT_eX]

[DOI]

CoRR, 2019

Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis.

[BibT_eX]

[DOI]

Adi Falik

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018

Nonlinear Eigenproblems in Image Processing and Computer Vision

[BibT_eX]

[DOI]

Advances in Computer Vision and Pattern Recognition, Springer, ISBN: 978-3-319-75846-6, 2018

Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals.

[BibT_eX]

[DOI]

Jean-François Aujol

Nicolas Papadakis

SIAM J. Imaging Sci., 2018

Flows Generating Nonlinear Eigenfunctions.

[BibT_eX]

[DOI]

Raz Z. Nossek

J. Sci. Comput., 2018

A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering.

[BibT_eX]

[DOI]

Martin Welk

Joachim Weickert

J. Math. Imaging Vis., 2018

Energy dissipating flows for solving nonlinear eigenpair problems.

[BibT_eX]

[DOI]

J. Comput. Phys., 2018

2017

Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches.

[BibT_eX]

[DOI]

Ester Hait

IEEE Trans. Image Process., 2017

Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2017

Learning Filter Functions in Regularisers by Minimising Quotients.

[BibT_eX]

[DOI]

Martin Benning

Joana Sarah Grah

Carola-Bibiane Schönlieb

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Nonlinear Spectral Image Fusion.

[BibT_eX]

[DOI]

Carola-Bibiane Schönlieb

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

In situ target-less calibration of turbid media.

[BibT_eX]

[DOI]

Ori Spier

Tali Treibitz

Proceedings of the 2017 IEEE International Conference on Computational Photography, 2017

2016

Separation Surfaces in the Spectral TV Domain for Texture Decomposition.

[BibT_eX]

[DOI]

Dikla Horesh

IEEE Trans. Image Process., 2016

Spectral Decompositions Using One-Homogeneous Functionals.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2016

Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects.

[BibT_eX]

[DOI]

Michael Möller

Martin Burger

J. Math. Imaging Vis., 2016

Automatic coronary lumen segmentation with partial volume modeling improves lesions' hemodynamic significance assessment.

[BibT_eX]

[DOI]

Proceedings of the Medical Imaging 2016: Image Processing, 2016

A Depth Restoration Occlusionless Temporal Dataset.

[BibT_eX]

[DOI]

Daniel Rotman

Proceedings of the Fourth International Conference on 3D Vision, 2016

Robust Recovery of Heavily Degraded Depth Measurements.

[BibT_eX]

[DOI]

Gilad Drozdov

Yevgengy Shapiro

Proceedings of the Fourth International Conference on 3D Vision, 2016

2015

Multiscale Texture Orientation Analysis Using Spectral Total-Variation Decomposition.

[BibT_eX]

[DOI]

Dikla Horesh

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Spectral Representations of One-Homogeneous Functionals.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

Fundamentals of Non-Local Total Variation Spectral Theory.

[BibT_eX]

[DOI]

Jean-François Aujol

Nicolas Papadakis

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

A maximal interest-point strategy applied to image enhancement with external priors.

[BibT_eX]

[DOI]

Oren Katzir

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

On the role of non-local Menger curvature in image processing.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Image Processing, 2015

Learning Nonlinear Spectral Filters for Color Image Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

2014

A Total Variation Spectral Framework for Scale and Texture Analysis.

[BibT_eX]

[DOI]

SIAM J. Imaging Sci., 2014

Nonlinear band-pass filtering using the TV transform.

[BibT_eX]

[DOI]

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

A Spectral Approach to Total Variation.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

Expert Regularizers for Task Specific Processing.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2009

Theoretical Foundations for Discrete Forward-and-Backward Diffusion Filtering.

[BibT_eX]

[DOI]

Martin Welk

Joachim Weickert

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

2008

Nonlinear Scale Space with Spatially Varying Stopping Time.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2008

Nonlocal Operators with Applications to Image Processing.

[BibT_eX]

[DOI]

Stanley J. Osher

Multiscale Model. Simul., 2008

2007

Nonlocal Linear Image Regularization and Supervised Segmentation.

[BibT_eX]

[DOI]

Stanley J. Osher

Multiscale Model. Simul., 2007

Nonlocal evolutions for image regularization.

[BibT_eX]

[DOI]

Stanley J. Osher

Proceedings of the Computational Imaging V, San Jose, 2007

2006

Variational denoising of partly textured images by spatially varying constraints.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2006

Estimation of optimal PDE-based denoising in the SNR sense.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2006

Constrained and SNR-Based Solutions for <i>TV</i>-Hilbert Space Image Denoising.

[BibT_eX]

[DOI]

Jean-François Aujol

J. Math. Imaging Vis., 2006

Structure-Texture Image Decomposition - Modeling, Algorithms, and Parameter Selection.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2006

2005

Nonlinear Inverse Scale Space Methods for Image Restoration.

[BibT_eX]

[DOI]

Proceedings of the Variational, 2005

Structure-Texture Decomposition by a TV-Gabor Model.

[BibT_eX]

[DOI]

Proceedings of the Variational, 2005

Estimation of the Optimal Variational Parameter via SNR Analysis.

[BibT_eX]

[DOI]

Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

2004

Image Enhancement and Denoising by Complex Diffusion Processes.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2004

Image Sharpening by Flows Based on Triple Well Potentials.

[BibT_eX]

[DOI]

J. Math. Imaging Vis., 2004

2003

PDE-based denoising of complex scenes using a spatially-varying fidelity term.

[BibT_eX]

[DOI]

Proceedings of the 2003 International Conference on Image Processing, 2003

2002

Forward-and-backward diffusion processes for adaptive image enhancement and denoising.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2002

Regularized Shock Filters and Complex Diffusion.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision, 2002

2001

Complex Diffusion Processes for Image Filtering.

[BibT_eX]

[DOI]

Proceedings of the Scale-Space and Morphology in Computer Vision, 2001

Image enhancement segmentation and denoising by time dependent nonlinear diffusion processes.

[BibT_eX]

[DOI]

Proceedings of the 2001 International Conference on Image Processing, 2001

2000

Anisotropic selective inverse diffusion for signal enhancement in the presence of noise.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2000

Signal and image enhancement by a generalized forward-and-backward adaptive diffusion process.

[BibT_eX]

[DOI]

Proceedings of the 10th European Signal Processing Conference, 2000

Color Image Enhancement by a Forward-and-Backward Adaptive Beltrami Flow.

[BibT_eX]

[DOI]