Martin Huska

According to our database, Martin Huska authored at least 18 papers between 2017 and 2026.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2026

Vectorial Total Symmetric Variation and Applications to Color Image Decomposition.

Roy Y. He, Martin Huska, Hao Liu

J. Math. Imaging Vis., June, 2026

2025

Linear PDE Osmotic Flow for 3D Surfaces.

Martin Huska, Serena Morigi, Giuseppe Antonio Recupero

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

Image Decomposition with G-Norm Weighted by Total Symmetric Variation.

Roy Y. He, Martin Huska, Hao Liu

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2025

2024

Convex Predictor-Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition.

Laura Girometti, Martin Huska, Alessandro Lanza, Serena Morigi

J. Optim. Theory Appl., September, 2024

2023

Geometric texture transfer via local geometric descriptors.

Martin Huska, Serena Morigi, Giuseppe Antonio Recupero

Appl. Math. Comput., August, 2023

A Unified Surface Geometric Framework for Feature-Aware Denoising, Hole Filling and Context-Aware Completion.

Luca Calatroni, Martin Huska, Serena Morigi, Giuseppe Antonio Recupero

J. Math. Imaging Vis., January, 2023

A Two-stage Signal Decomposition into Jump, Oscillation and Trend using ADMM.

Martin Huska, Antonio Cicone, Sung Ha Kang, Serena Morigi

Image Process. Line, 2023

Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter Selection.

Laura Girometti, Martin Huska, Alessandro Lanza, Serena Morigi

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

2022

JOT: A Variational Signal Decomposition Into Jump, Oscillation and Trend.

Antonio Cicone, Martin Huska, Sung Ha Kang, Serena Morigi

IEEE Trans. Signal Process., 2022

2021

A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components.

Martin Huska, Sung Ha Kang, Alessandro Lanza, Serena Morigi

SIAM J. Imaging Sci., 2021

Sparsity-Aided Variational Mesh Restoration.

Martin Huska, Serena Morigi, Giuseppe Antonio Recupero

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

A Forward-Backward Strategy for Handling Non-linearity in Electrical Impedance Tomography.

Martin Huska, Damiana Lazzaro, Serena Morigi

Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020

Spatially-Adaptive Variational Reconstructions for Linear Inverse Electrical Impedance Tomography.

Martin Huska, Damiana Lazzaro, Serena Morigi, Andrea Samore, Gabriele Scrivanti

J. Sci. Comput., 2020

2019

Convex non-convex segmentation of scalar fields over arbitrary triangulated surfaces.

Martin Huska, Alessandro Lanza, Serena Morigi, Fiorella Sgallari

J. Comput. Appl. Math., 2019

Fast Algorithms for Surface Reconstruction from Point Cloud.

Yuchen He, Martin Huska, Sung Ha Kang, Hao Liu

CoRR, 2019

2018

Shape Partitioning via $${L}_{p}$$ L p Compressed Modes.

Martin Huska, Damiana Lazzaro, Serena Morigi

J. Math. Imaging Vis., 2018

2017

A meshless strategy for shape diameter analysis.

Martin Huska, Serena Morigi

Vis. Comput., 2017

Convex Non-Convex Segmentation over Surfaces.

Martin Huska, Alessandro Lanza, Serena Morigi, Fiorella Sgallari

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