default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDGuy Gilboa
Person information
- affiliation: Technion - Israel Institute of Technology, Haifa, Israel
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[j29]Eyal Gofer, Guy Gilboa:
Generalized Inversion of Nonlinear Operators. J. Math. Imaging Vis. 66(4): 478-503 (2024)- [j28]Jonathan Brokman
, Martin Burger, Guy Gilboa:
Spectral Total-variation Processing of Shapes - Theory and Applications. ACM Trans. Graph. 43(2): 22:1-22:20 (2024) - [c38]Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa:
Enhancing Neural Training via a Correlated Dynamics Model. ICLR 2024 - [i30]Elnatan Kadar, Guy Gilboa:
DXAI: Explaining Classification by Image Decomposition. CoRR abs/2401.00320 (2024) - [i29]Meir Yossef Levi, Guy Gilboa:
Fast and Simple Explainability for Point Cloud Networks. CoRR abs/2403.07706 (2024) - 2023
- [c37]Or Streicher, Ido Cohen, Guy Gilboa:
BASiS: Batch Aligned Spectral Embedding Space. CVPR 2023: 10396-10405 - [c36]Meir Yossef Levi, Guy Gilboa:
EPiC: Ensemble of Partial Point Clouds for Robust Classification. ICCV 2023: 14429-14438 - [c35]Eyal Gofer, Guy Gilboa:
Theoretical Foundations for Pseudo-Inversion of Nonlinear Operators. SSVM 2023: 29-41 - [c34]Or Streicher, Guy Gilboa:
Graph Laplacian for Semi-supervised Learning. SSVM 2023: 250-262 - [i28]Or Streicher, Guy Gilboa:
Graph Laplacian for Semi-Supervised Learning. CoRR abs/2301.04956 (2023) - [i27]Meir Yossef Levi, Guy Gilboa:
EPiC: Ensemble of Partial Point Clouds for Robust Classification. CoRR abs/2303.11419 (2023) - [i26]Elnatan Kadar, Jonathan Brokman, Guy Gilboa:
Additive Class Distinction Maps using Branched-GANs. CoRR abs/2305.02899 (2023) - [i25]Chao Wang, Jean-François Aujol, Guy Gilboa, Yifei Lou:
Minimizing Quotient Regularization Model. CoRR abs/2308.04095 (2023) - [i24]Meir Yossef Levi, Guy Gilboa:
Critical Points ++: An Agile Point Cloud Importance Measure for Robust Classification, Adversarial Defense and Explainable AI. CoRR abs/2308.05525 (2023) - [i23]Jonathan Brokman, Roy Betser, Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa:
Enhancing Neural Training via a Correlated Dynamics Model. CoRR abs/2312.13247 (2023) - 2022
- [j27]Shai Biton, Guy Gilboa:
Adaptive Anisotropic Total Variation: Analysis and Experimental Findings of Nonlinear Spectral Properties. J. Math. Imaging Vis. 64(8): 916-938 (2022) - [i22]Ilya Tcenov, Guy Gilboa:
How to Guide Adaptive Depth Sampling? CoRR abs/2205.10202 (2022) - [i21]Jonathan Brokman, Guy Gilboa:
Analysis of Branch Specialization and its Application in Image Decomposition. CoRR abs/2206.05810 (2022) - [i20]Jonathan Brokman, Martin Burger, Guy Gilboa:
Spectral Total-Variation Processing of Shapes - Theory and Applications. CoRR abs/2209.07517 (2022) - [i19]Or Streicher, Ido Cohen, Guy Gilboa:
BASiS: Batch Aligned Spectral Embedding Space. CoRR abs/2211.16960 (2022) - [i18]Rotem Turjeman, Tom Berkov, Ido Cohen, Guy Gilboa:
The Underlying Correlated Dynamics in Neural Training. CoRR abs/2212.09040 (2022) - 2021
- [j26]Ester Hait-Fraenkel, Guy Gilboa:
Revealing stable and unstable modes of denoisers through nonlinear eigenvalue analysis. J. Vis. Commun. Image Represent. 75: 103041 (2021) - [j25]Ido Cohen, Omri Azencot, Pavel Lifshits, Guy Gilboa:
Modes of Homogeneous Gradient Flows. SIAM J. Imaging Sci. 14(3): 913-945 (2021) - [j24]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): 1114-1148 (2021) - [j23]Eyal Gofer, Shachar Praisler, Guy Gilboa:
Adaptive LiDAR Sampling and Depth Completion Using Ensemble Variance. IEEE Trans. Image Process. 30: 8900-8912 (2021) - [c33]Damian Kaliroff, Guy Gilboa:
PhIT-Net: Photo-consistent Image Transform for Robust Illumination Invariant Matching. BMVC 2021: 27 - [c32]Jonathan Brokman, Guy Gilboa:
Nonlinear Spectral Processing of Shapes via Zero-Homogeneous Flows. SSVM 2021: 40-51 - [c31]Ido Cohen, Tom Berkov, Guy Gilboa:
Total-Variation Mode Decomposition. SSVM 2021: 52-64 - [i17]Eyal Gofer, Guy Gilboa:
A Pseudo-Inverse for Nonlinear Operators. CoRR abs/2111.10755 (2021) - 2020
- [j22]Ido Cohen, Guy Gilboa:
Introducing the p-Laplacian spectra. Signal Process. 167 (2020) - [c30]Adam Wolff, Shachar Praisler, Ilya Tcenov, Guy Gilboa:
Super-Pixel Sampler: a Data-driven Approach for Depth Sampling and Reconstruction. ICRA 2020: 2588-2594 - [c29]Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola B. Schönlieb:
Deeply Learned Spectral Total Variation Decomposition. NeurIPS 2020 - [i16]Alona Baruhov, Guy Gilboa:
Unsupervised Enhancement of Real-World Depth Images Using Tri-Cycle GAN. CoRR abs/2001.03779 (2020) - [i15]Tamara G. Grossmann, Yury Korolev, Guy Gilboa, Carola-Bibiane Schönlieb:
Deeply Learned Spectral Total Variation Decomposition. CoRR abs/2006.10004 (2020) - [i14]Ido Cohen, Omri Azencot, Pavel Lifshitz, Guy Gilboa:
Mode Decomposition for Homogeneous Symmetric Operators. CoRR abs/2007.01534 (2020) - [i13]Eyal Gofer, Shachar Praisler, Guy Gilboa:
Adaptive LiDAR Sampling and Depth Completion using Ensemble Variance. CoRR abs/2007.13834 (2020) - [i12]Guy Gilboa:
Iterative Methods for Computing Eigenvectors of Nonlinear Operators. CoRR abs/2010.02890 (2020) - [i11]Eyal Gofer, Guy Gilboa:
Experts with Lower-Bounded Loss Feedback: A Unifying Framework. CoRR abs/2012.09537 (2020)
2010 – 2019
- 2019
- [j21]Ester Hait, Guy Gilboa:
Spectral Total-Variation Local Scale Signatures for Image Manipulation and Fusion. IEEE Trans. Image Process. 28(2): 880-895 (2019) - [c28]Ido Cohen, Adi Falik, Guy Gilboa:
Stable Explicit p-Laplacian Flows Based on Nonlinear Eigenvalue Analysis. SSVM 2019: 315-327 - [i10]Adam Wolff, Shachar Praisler, Ilya Tcenov, Guy Gilboa:
Image-Guided Depth Sampling and Reconstruction. CoRR abs/1908.01379 (2019) - [i9]Ester Hait-Fraenkel, Guy Gilboa:
Numeric Solutions of Eigenvalue Problems for Generic Nonlinear Operators. CoRR abs/1909.12775 (2019) - [i8]Damian Kaliroff, Guy Gilboa:
Self-Supervised Unconstrained Illumination Invariant Representation. CoRR abs/1911.12641 (2019) - 2018
- [b1]Guy Gilboa:
Nonlinear Eigenproblems in Image Processing and Computer Vision. Advances in Computer Vision and Pattern Recognition, Springer 2018, ISBN 978-3-319-75846-6, pp. 1-158 - [j20]Ido Cohen, Guy Gilboa:
Energy dissipating flows for solving nonlinear eigenpair problems. J. Comput. Phys. 375: 1138-1158 (2018) - [j19]Martin Welk, Joachim Weickert, Guy Gilboa:
A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering. J. Math. Imaging Vis. 60(9): 1399-1426 (2018) - [j18]Raz Z. Nossek, Guy Gilboa:
Flows Generating Nonlinear Eigenfunctions. J. Sci. Comput. 75(2): 859-888 (2018) - [j17]Jean-François Aujol, Guy Gilboa, Nicolas Papadakis:
Theoretical Analysis of Flows Estimating Eigenfunctions of One-Homogeneous Functionals. SIAM J. Imaging Sci. 11(2): 1416-1440 (2018) - 2017
- [j16]Guy Gilboa:
Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition. J. Math. Imaging Vis. 57(1): 26-42 (2017) - [j15]Ester Hait, Guy Gilboa:
Blind Facial Image Quality Enhancement Using Non-Rigid Semantic Patches. IEEE Trans. Image Process. 26(6): 2705-2720 (2017) - [c27]Ori Spier, Tali Treibitz, Guy Gilboa:
In situ target-less calibration of turbid media. ICCP 2017: 137-145 - [c26]Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb:
Nonlinear Spectral Image Fusion. SSVM 2017: 41-53 - [c25]Martin Benning, Guy Gilboa, Joana Sarah Grah, Carola-Bibiane Schönlieb:
Learning Filter Functions in Regularisers by Minimising Quotients. SSVM 2017: 511-523 - [i7]Martin Benning, Michael Möller, Raz Z. Nossek, Martin Burger, Daniel Cremers, Guy Gilboa, Carola-Bibiane Schönlieb:
Nonlinear Spectral Image Fusion. CoRR abs/1703.08001 (2017) - 2016
- [j14]Guy Gilboa, Michael Möller, Martin Burger:
Nonlinear Spectral Analysis via One-Homogeneous Functionals: Overview and Future Prospects. J. Math. Imaging Vis. 56(2): 300-319 (2016) - [j13]Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers:
Spectral Decompositions Using One-Homogeneous Functionals. SIAM J. Imaging Sci. 9(3): 1374-1408 (2016) - [j12]Dikla Horesh, Guy Gilboa:
Separation Surfaces in the Spectral TV Domain for Texture Decomposition. IEEE Trans. Image Process. 25(9): 4260-4270 (2016) - [c24]Gilad Drozdov, Yevgengy Shapiro, Guy Gilboa:
Robust Recovery of Heavily Degraded Depth Measurements. 3DV 2016: 56-65 - [c23]Daniel Rotman, Guy Gilboa:
A Depth Restoration Occlusionless Temporal Dataset. 3DV 2016: 176-184 - [c22]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. Image Processing 2016: 978403 - [i6]Martin Burger, Guy Gilboa, Michael Möller, Lina Eckardt, Daniel Cremers:
Spectral Decompositions using One-Homogeneous Functionals. CoRR abs/1601.02912 (2016) - [i5]Raz Z. Nossek, Guy Gilboa:
Flows Generating Nonlinear Eigenfunctions. CoRR abs/1609.08438 (2016) - [i4]Ester Hait, Guy Gilboa:
Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches. CoRR abs/1609.08475 (2016) - 2015
- [c21]Michael Möller, Julia Diebold, Guy Gilboa, Daniel Cremers:
Learning Nonlinear Spectral Filters for Color Image Reconstruction. ICCV 2015: 289-297 - [c20]Oren Katzir, Guy Gilboa:
A maximal interest-point strategy applied to image enhancement with external priors. ICIP 2015: 1324-1328 - [c19]Guy Gilboa, Eli Appleboim, Emil Saucan, Yehoshua Y. Zeevi:
On the role of non-local Menger curvature in image processing. ICIP 2015: 4337-4341 - [c18]Martin Burger, Lina Eckardt, Guy Gilboa, Michael Möller:
Spectral Representations of One-Homogeneous Functionals. SSVM 2015: 16-27 - [c17]Jean-François Aujol, Guy Gilboa, Nicolas Papadakis:
Fundamentals of Non-Local Total Variation Spectral Theory. SSVM 2015: 66-77 - [c16]Dikla Horesh, Guy Gilboa:
Multiscale Texture Orientation Analysis Using Spectral Total-Variation Decomposition. SSVM 2015: 486-497 - [i3]Guy Gilboa, Michael Möller, Martin Burger:
Nonlinear Spectral Analysis via One-homogeneous Functionals - Overview and Future Prospects. CoRR abs/1510.01077 (2015) - [i2]Guy Gilboa:
Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition. CoRR abs/1511.04685 (2015) - [i1]Dikla Horesh, Guy Gilboa:
Separation Surfaces in the Spectral TV Domain for Texture Decomposition. CoRR abs/1511.04687 (2015) - 2014
- [j11]Guy Gilboa:
A Total Variation Spectral Framework for Scale and Texture Analysis. SIAM J. Imaging Sci. 7(4): 1937-1961 (2014) - [c15]Guy Gilboa:
Nonlinear band-pass filtering using the TV transform. EUSIPCO 2014: 1696-1700 - 2013
- [c14]Guy Gilboa:
Expert Regularizers for Task Specific Processing. SSVM 2013: 24-35 - [c13]Guy Gilboa:
A Spectral Approach to Total Variation. SSVM 2013: 36-47
2000 – 2009
- 2009
- [c12]Martin Welk, Guy Gilboa, Joachim Weickert:
Theoretical Foundations for Discrete Forward-and-Backward Diffusion Filtering. SSVM 2009: 527-538 - 2008
- [j10]Guy Gilboa, Stanley J. Osher:
Nonlocal Operators with Applications to Image Processing. Multiscale Model. Simul. 7(3): 1005-1028 (2008) - [j9]Guy Gilboa:
Nonlinear Scale Space with Spatially Varying Stopping Time. IEEE Trans. Pattern Anal. Mach. Intell. 30(12): 2175-2187 (2008) - 2007
- [j8]Guy Gilboa, Stanley J. Osher:
Nonlocal Linear Image Regularization and Supervised Segmentation. Multiscale Model. Simul. 6(2): 595-630 (2007) - [c11]Guy Gilboa, Stanley J. Osher:
Nonlocal evolutions for image regularization. Computational Imaging 2007: 64980U - 2006
- [j7]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): 111-136 (2006) - [j6]Jean-François Aujol, Guy Gilboa:
Constrained and SNR-Based Solutions for TV-Hilbert Space Image Denoising. J. Math. Imaging Vis. 26(1-2): 217-237 (2006) - [j5]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Estimation of optimal PDE-based denoising in the SNR sense. IEEE Trans. Image Process. 15(8): 2269-2280 (2006) - [j4]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Variational denoising of partly textured images by spatially varying constraints. IEEE Trans. Image Process. 15(8): 2281-2289 (2006) - 2005
- [c10]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Estimation of the Optimal Variational Parameter via SNR Analysis. Scale-Space 2005: 230-241 - [c9]Martin Burger, Stanley J. Osher, Jinjun Xu, Guy Gilboa:
Nonlinear Inverse Scale Space Methods for Image Restoration. VLSM 2005: 25-36 - [c8]Jean-François Aujol, Guy Gilboa, Tony F. Chan, Stanley J. Osher:
Structure-Texture Decomposition by a TV-Gabor Model. VLSM 2005: 85-96 - 2004
- [j3]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Image Sharpening by Flows Based on Triple Well Potentials. J. Math. Imaging Vis. 20(1-2): 121-131 (2004) - [j2]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Image Enhancement and Denoising by Complex Diffusion Processes. IEEE Trans. Pattern Anal. Mach. Intell. 26(8): 1020-1036 (2004) - 2003
- [c7]Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen:
PDE-based denoising of complex scenes using a spatially-varying fidelity term. ICIP (1) 2003: 865-868 - 2002
- [j1]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): 689-703 (2002) - [c6]Guy Gilboa, Nir A. Sochen, Yehoshua Y. Zeevi:
Regularized Shock Filters and Complex Diffusion. ECCV (1) 2002: 399-413 - 2001
- [c5]Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen:
Image enhancement segmentation and denoising by time dependent nonlinear diffusion processes. ICIP (3) 2001: 134-137 - [c4]Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen:
Complex Diffusion Processes for Image Filtering. Scale-Space 2001: 299-307 - 2000
- [c3]Nir A. Sochen, Guy Gilboa, Yehoshua Y. Zeevi:
Color Image Enhancement by a Forward-and-Backward Adaptive Beltrami Flow. AFPAC 2000: 319-328 - [c2]Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen:
Signal and image enhancement by a generalized forward-and-backward adaptive diffusion process. EUSIPCO 2000: 1-4 - [c1]Guy Gilboa, Yehoshua Y. Zeevi, Nir A. Sochen:
Anisotropic selective inverse diffusion for signal enhancement in the presence of noise. ICASSP 2000: 221-224
Coauthor Index
manage site settings
To protect your privacy, all features that rely on external API calls from your browser are turned off by default. You need to opt-in for them to become active. All settings here will be stored as cookies with your web browser. For more information see our F.A.Q.
Unpaywalled article links
Add open access links from 
to the list of external document links (if available).
Privacy notice: By enabling the option above, your browser will contact the API of unpaywall.org to load hyperlinks to open access articles. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Unpaywall privacy policy.
Archived links via Wayback Machine
For web page which are no longer available, try to retrieve content from the 
of the Internet Archive (if available).
Privacy notice: By enabling the option above, your browser will contact the API of archive.org to check for archived content of web pages that are no longer available. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Internet Archive privacy policy.
Reference lists
Add a list of references from 
, 
, and 
to record detail pages.
load references from crossref.org and opencitations.net
Privacy notice: By enabling the option above, your browser will contact the APIs of crossref.org, opencitations.net, and semanticscholar.org to load article reference information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the Crossref privacy policy and the OpenCitations privacy policy, as well as the AI2 Privacy Policy covering Semantic Scholar.
Citation data
Add a list of citing articles from and to record detail pages.
load citations from opencitations.net
Privacy notice: By enabling the option above, your browser will contact the API of opencitations.net and semanticscholar.org to load citation information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the OpenCitations privacy policy as well as the AI2 Privacy Policy covering Semantic Scholar.
OpenAlex data
Load additional information about publications from 
.
Privacy notice: By enabling the option above, your browser will contact the API of openalex.org to load additional information. Although we do not have any reason to believe that your call will be tracked, we do not have any control over how the remote server uses your data. So please proceed with care and consider checking the information given by OpenAlex.
last updated on 2024-12-10 20:52 CET by the dblp team
all metadata released as open data under CC0 1.0 license
see also: Terms of Use | Privacy Policy | Imprint
dblp was originally created in 1993 at:
since 2018, dblp has been operated and maintained by:
the dblp computer science bibliography is funded and supported by:
