Publication summary (Google Scholar) 

List of papers ordered by popularity

Theoretical Analysis of Flows Estimating Eigenfunctions of One-homogeneous Functionals AGP17_hal.pdf

Jean-Francois Aujol, Guy Gilboa, Nicolas Papadakis, “Theoretical Analysis of Flows Estimating Eigenfunctions of One-homogeneous Functionals”, accepted to SIAM J. of Imaging Sciences.

A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering WWG_preprint_ni17005.pdf

Martin Welk, Joachim Weickert, Guy Gilboa, “A Discrete Theory and Efficient Algorithms for Forward-and-Backward Diffusion Filtering”, preprint.

Flows Generating Nonlinear Eigenfunctions Nossek_Gilboa_JSC_2018.pdf

Raz Nossek, Guy Gilboa, “Flows Generating Nonlinear Eigenfunctions”, J. of Scientific Computing , Volume 75, Issue 2, pp 859–888, 2018.

Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches Hait_Gilboa_blind_facial_16_arxiv.pdfHait_Gilboa_TIP17.pdf

Ester Hait, Guy Gilboa, “Blind Facial Image Quality Enhancement using Non-Rigid Semantic Patches”, accepted to IEEE Trans. Image Processing, 2017.

Semi-Inner-Products for Convex Functionals and Their Use in Image Decomposition Gilboa_SIP_JMIV2016.pdf

Guy Gilboa, Journal of Mathematical Imaging and Vision (JMIV), Vol. 57, No. 1, pp. 26-42, 2017.

Nonlinear Spectral Image Fusion ssvm_paper.pdf

M Benning, M. Moeller, R. Nossek, M. Burger, D. Cremers, G. Gilboa, C. Schoenlieb, “Nonlinear Spectral Image Fusion”, Proc. Scale-Space and Variational Methods (SSVM), 2017.

In Situ Target-Less Calibration of Turbid Media situ-target-calibration.pdf

1. O. Spier, T. Treibitz, G. Gilboa, “In situ target-less calibration of turbid media”, Int. Conf. on Computational Photography (ICCP), Stanford Univ., 2017.

Robust Recovery of Heavily Degraded Depth Measurements DSG_3DV16_Robust-Recovery.pdf

G. Drozdov, Y. Shapiro, G. Gilboa, “Robust recovery of heavily degraded depth measurements”, Int. Conf. On 3D Vision (3DV), Stanford University, 2016.

A Depth Restoration Occlusionless Temporal Dataset Rotman_Gilboa_3DV16_DROT.pdf

D. Rotman, G. Gilboa, “A depth restoration occlusionless temporal dataset”, Int. Conf. On 3D Vision (3DV), Stanford University, 2016.