Martin Huska

Orcid: 0000-0002-5342-1752

According to our database1, Martin Huska authored at least 15 papers between 2017 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of five.

Timeline

Legend:

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PhD thesis 
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Bibliography

2024
Convex Predictor-Nonconvex Corrector Optimization Strategy with Application to Signal Decomposition.
J. Optim. Theory Appl., September, 2024

2023
Geometric texture transfer via local geometric descriptors.
Appl. Math. Comput., August, 2023

A Unified Surface Geometric Framework for Feature-Aware Denoising, Hole Filling and Context-Aware Completion.
J. Math. Imaging Vis., January, 2023

A Two-stage Signal Decomposition into Jump, Oscillation and Trend using ADMM.
Image Process. Line, 2023

Quaternary Image Decomposition with Cross-Correlation-Based Multi-parameter Selection.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022
JOT: A Variational Signal Decomposition Into Jump, Oscillation and Trend.
IEEE Trans. Signal Process., 2022

2021
A Variational Approach to Additive Image Decomposition into Structure, Harmonic, and Oscillatory Components.
SIAM J. Imaging Sci., 2021

Sparsity-Aided Variational Mesh Restoration.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

A Forward-Backward Strategy for Handling Non-linearity in Electrical Impedance Tomography.
Proceedings of the Computational Science and Its Applications - ICCSA 2021, 2021

2020
Spatially-Adaptive Variational Reconstructions for Linear Inverse Electrical Impedance Tomography.
J. Sci. Comput., 2020

2019
Convex non-convex segmentation of scalar fields over arbitrary triangulated surfaces.
J. Comput. Appl. Math., 2019

Fast Algorithms for Surface Reconstruction from Point Cloud.
CoRR, 2019

2018
Shape Partitioning via $${L}_{p}$$ L p Compressed Modes.
J. Math. Imaging Vis., 2018

2017
A meshless strategy for shape diameter analysis.
Vis. Comput., 2017

Convex Non-Convex Segmentation over Surfaces.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017


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