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.

Spectral Decompositions using One-Homogeneous Functionals spectralDecomposition.pdf

Martin Burger, Guy Gilboa, Michael Moeller, Lina Eckardt, Daniel Cremers “Spectral Decompositions using One-Homogeneous Functionals”, SIAM Journal on Imaging Sciences, Vol. 9, No. 3, pp. 1374-1408, 2016. .

Separation Surfaces in the Spectral TV Domain for Texture Decomposition arXiv_15-11-2015.pdf

Dikla Horesh and Guy Gilboa, “Separation Surfaces in the Spectral TV Domain for Texture Decomposition”, IEEE Trans. Image Processing, Vol. 25, No. 9, pp. 4260 – 4270, 2016.

Nonlinear Spectral Analysis via One-homogeneous Functionals – Overview and Future Prospects spec_review_JMIV2016.pdf

Guy Gilboa, Michael Moeller, Martin Burger, “Nonlinear Spectral Analysis via One-homogeneous Functionals – Overview and Future Prospects”, accepted to Journal of Mathematical Imaging and Vision (JMIV), 2016.

Learning Nonlinear Spectral Filters for Color Image Reconstruction iccv2015-spectral-filtering.pdf

Michael Moeller, Julia Diebold, Guy Gilboa, Daniel Cremers, “Learning Nonlinear Spectral Filters for Color Image Reconstruction”, ICCV 2015.

A Maximal Interest-Point Strategy Applied to Image Enhancement with External Priors InterestPoints_ICIP15.pdf

O. Katzir and G. Gilboa, “A Maximal Interest-Point Strategy Applied to Image Enhancement with External Priors”, IEEE International Conference on Image Processing (ICIP-2015) , pp. 1324-1328, 2015.

On the Role of Non-local Menger Curvature in Image Processing NLcurvICIP15_camera_ready.pdf

G. Gilboa, E. Appleboim, E. Saucan and Y.Y. Zeevi, “On the Role of Non-local Menger Curvature in Image Processing”, IEEE International Conference on Image Processing (ICIP-2015) , pp. 4337-4341, 2015.

A spectral framework for one-homogeneous functionals arXiv_1503.05293v1.pdf

M. Burger, L. Eckardt, G. Gilboa, M. Moeller, “A spectral framework for one-homogeneous functionals”, Proc. Scale Space and Variational Methods in Computer Vision (SSVM), 2015.

Multiscale Texture Orientation Analysis using Spectral Total-Variation Decomposition SSVM15_Horesh_Gilboa.pdf

D. Horesh, G. Gilboa, “Multiscale orientation detection using the total variation transform”, Proc. Scale Space and Variational Methods in Computer Vision (SSVM), 2015.