Stefania Petra

Orcid: 0000-0002-7189-2275

According to our database1, Stefania Petra authored at least 53 papers between 2003 and 2024.

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Bibliography

2024
Sigma Flows for Image and Data Labeling and Learning Structured Prediction.
CoRR, 2024

Generative Assignment Flows for Representing and Learning Joint Distributions of Discrete Data.
CoRR, 2024

A Geometric Embedding Approach to Multiple Games and Multiple Populations.
CoRR, 2024

Accelerated Bregmann divergence optimization with SMART: an information geometry point of view.
CoRR, 2024

2023
Learning Linearized Assignment Flows for Image Labeling.
J. Math. Imaging Vis., January, 2023

On the Remarkable Efficiency of SMART.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

Modeling Large-Scale Joint Distributions and Inference by Randomized Assignment.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2023

2022
Multi-level Geometric Optimization for Regularised Constrained Linear Inverse Problems.
CoRR, 2022

Self-Certifying Classification by Linearized Deep Assignment.
CoRR, 2022

Learning Features via Transformer Networks for Cardiomyocyte Profiling.
Proceedings of the Bildverarbeitung für die Medizin 2022, 2022

2021
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment.
J. Math. Imaging Vis., 2021

Learning Linear Assignment Flows for Image Labeling via Exponential Integration.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

First-Order Geometric Multilevel Optimization for Discrete Tomography.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2021

2020
Self-Assignment Flows for Unsupervised Data Labeling on Graphs.
SIAM J. Imaging Sci., 2020

Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment.
J. Math. Imaging Vis., 2020

Multi-Channel Potts-Based Reconstruction for Multi-Spectral Computed Tomography.
CoRR, 2020

2019
Superiorization vs. Accelerated Convex Optimization: The Superiorized/Regularized Least-Squares Case.
CoRR, 2019

Unsupervised Labeling by Geometric and Spatially Regularized Self-assignment.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

Direct MRI Segmentation from k-Space Data by Iterative Potts Minimization.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2019

2018
Performance Bounds For Co-/Sparse Box Constrained Signal Recovery.
CoRR, 2018

Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment.
Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017
Erratum to: Single projection Kaczmarz extended algorithms.
Numer. Algorithms, 2017

Image Labeling by Assignment.
J. Math. Imaging Vis., 2017

Image Reconstruction by Multilabel Propagation.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Graphical Model Parameter Learning by Inverse Linear Programming.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

A Novel Convex Relaxation for Non-binary Discrete Tomography.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Performance Bounds for Cosparse Multichannel Signal Recovery via Collaborative-TV.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Compressed Motion Sensing.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2017

Gradient Flows on a Riemannian Submanifold for Discrete Tomography.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

A Local Spatio-Temporal Approach to Plane Wave Ultrasound Particle Image Velocimetry.
Proceedings of the Pattern Recognition - 39th German Conference, 2017

2016
Non-Binary Discrete Tomography by Continuous Non-Convex Optimization.
IEEE Trans. Computational Imaging, 2016

Single projection Kaczmarz extended algorithms.
Numer. Algorithms, 2016

A Geometric Approach to Image Labeling.
Proceedings of the Computer Vision - ECCV 2016, 2016

Discrete Tomography by Continuous Multilabeling Subject to Projection Constraints.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

Parametric Dictionary-Based Velocimetry for Echo PIV.
Proceedings of the Pattern Recognition - 38th German Conference, 2016

The Assignment Manifold: A Smooth Model for Image Labeling.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015
Optical Flow.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

TomoGC: Binary Tomography by Constrained GraphCuts.
Proceedings of the Pattern Recognition - 37th German Conference, 2015

2014
Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections.
Fundam. Informaticae, 2014

Adaptive Dictionary-Based Spatio-temporal Flow Estimation for Echo PIV.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

An Entropic Perturbation Approach to TV-Minimization for Limited-Data Tomography.
Proceedings of the Discrete Geometry for Computer Imagery, 2014

2013
Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics.
Fundam. Informaticae, 2013

A class of quasi-variational inequalities for adaptive image denoising and decomposition.
Comput. Optim. Appl., 2013

B-SMART: Bregman-Based First-Order Algorithms for Non-negative Compressed Sensing Problems.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2012
Corrections to "Variational Adaptive Correlation Method for Flow Estimation".
IEEE Trans. Image Process., 2012

Variational Adaptive Correlation Method for Flow Estimation.
IEEE Trans. Image Process., 2012

A general extending and constraining procedure for linear iterative methods.
Int. J. Comput. Math., 2012

Average Case Recovery Analysis of Tomographic Compressive Sensing
CoRR, 2012

2011
Variational Image Denoising with Adaptive Constraint Sets.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

2008
On Sparsity Maximization in Tomographic Particle Image Reconstruction.
Proceedings of the Pattern Recognition, 2008

2007
Projected filter trust region methods for a semismooth least squares formulation of mixed complementarity problems.
Optim. Methods Softw., 2007

2004
On a semismooth least squares formulation of complementarity problems with gap reduction.
Optim. Methods Softw., 2004

2003
Developing a computeized simulator for Endoscopic Ultarasound.
Proceedings of the CARS 2003. Computer Assisted Radiology and Surgery. Proceedings of the 17th International Congress and Exhibition, 2003


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