Martin Holler

Orcid: 0000-0002-2895-2375

According to our database1, Martin Holler authored at least 25 papers between 2012 and 2024.

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

Timeline

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Bibliography

2024
Posterior-Variance-Based Error Quantification for Inverse Problems in Imaging.
SIAM J. Imaging Sci., March, 2024

2023
A Note on the Regularity of Images Generated by Convolutional Neural Networks.
SIAM J. Math. Data Sci., September, 2023

Accelerometry-Based Classification of Circulatory States During Out-of-Hospital Cardiac Arrest.
IEEE Trans. Biomed. Eng., August, 2023

Latent-Space Disentanglement with Untrained Generator Networks for the Isolation of Different Motion Types in Video Data.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Probabilistic Modeling of Chronological Dates to Serve Machines and Scholars.
Proceedings of the Annual International Conference of the Alliance of Digital Humanities Organizations, 2023

A Parameter Identification Approach towards Analyzing Hemodynamics Based on Capnography.
Proceedings of the Computing in Cardiology, 2023

2022
A Generative Variational Model for Inverse Problems in Imaging.
SIAM J. Math. Data Sci., 2022

Unsupervised energy disaggregation via convolutional sparse coding.
CoRR, 2022

Nonlinear motion separation via untrained generator networks with disentangled latent space variables and applications to cardiac MRI.
CoRR, 2022

2021
Dimension reduction, exact recovery, and error estimates for sparse reconstruction in phase space.
CoRR, 2021

2020
A Convex Variational Model for Learning Convolutional Image Atoms from Incomplete Data.
J. Math. Imaging Vis., 2020

2019
Higher-order total variation approaches and generalisations.
CoRR, 2019

Non-smooth variational regularization for processing manifold-valued data.
CoRR, 2019

2018
Evaluation of Parallel Level Sets and Bowsher's Method as Segmentation-Free Anatomical Priors for Time-of-Flight PET Reconstruction.
IEEE Trans. Medical Imaging, 2018

Variational Decompression of Image Data From DjVu Encoded Files.
IEEE Trans. Image Process., 2018

Total Generalized Variation for Manifold-Valued Data.
SIAM J. Imaging Sci., 2018

2017
Joint MR-PET Reconstruction Using a Multi-Channel Image Regularizer.
IEEE Trans. Medical Imaging, 2017

2015
A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part II: Numerics.
SIAM J. Imaging Sci., 2015

A TGV-Based Framework for Variational Image Decompression, Zooming, and Reconstruction. Part I: Analytics.
SIAM J. Imaging Sci., 2015

Artifact-Free Variational MPEG Decompression.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2015

2014
On Infimal Convolution of TV-Type Functionals and Applications to Video and Image Reconstruction.
SIAM J. Imaging Sci., 2014

2013
A TGV Regularized Wavelet Based Zooming Model.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2012
A Total Variation-Based JPEG Decompression Model.
SIAM J. Imaging Sci., 2012

Artifact-Free Decompression and Zooming of JPEG Compressed Images with Total Generalized Variation.
Proceedings of the Computer Vision, Imaging and Computer Graphics. Theory and Application, 2012

Artifact-free JPEG Decompression with Total Generalized Variation.
Proceedings of the VISAPP 2012, 2012


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