5 citations · 5 across the 2 of their papers we have counts for
6 papers
Iterative Methods for Computing Eigenvectors of Nonlinear Operators
Guy Gilboa
In this chapter we are examining several iterative methods for solving nonlinear eigenvalue problems. These arise in variational image-processing, graph partition and classificatio…
Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN
Alona Baruhov, Guy Gilboa
Low quality depth poses a considerable challenge to computer vision algorithms. In this work we aim to enhance highly degraded, real-world depth images acquired by a low-cost senso…
Introducing the p-Laplacian Spectra
Ido Cohen, Guy Gilboa
In this work we develop a nonlinear decomposition, associated with nonlinear eigenfunctions of the p-Laplacian for p \in (1, 2). With this decomposition we can process signals of d…
Revealing Stable and Unstable Modes of Generic Denoisers through Nonlinear Eigenvalue Analysis
Ester Hait-Fraenkel, Guy Gilboa
In this paper, we propose to analyze stable and unstable modes of generic image denoisers through nonlinear eigenvalue analysis. We attempt to find input images for which the outpu…
Optoacoustic Model-Based Inversion Using Anisotropic Adaptive Total-Variation Regularization
Shai Biton, Nadav Arbel, Gilad Drozdov +2
In optoacoustic tomography, image reconstruction is often performed with incomplete or noisy data, leading to reconstruction errors. Significant improvement in reconstruction accur…
Image-Guided Depth Sampling and Reconstruction
Adam Wolff, Shachar Praisler, Ilya Tcenov +1
Depth acquisition, based on active illumination, is essential for autonomous and robotic navigation. LiDARs (Light Detection And Ranging) with mechanical, fixed, sampling templates…