Stefania Petra

According to our database1, Stefania Petra authored at least 43 papers between 2003 and 2019.

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

Timeline

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2019
Learning Adaptive Regularization for Image Labeling Using Geometric Assignment.
CoRR, 2019

Unsupervised Assignment Flow: Label Learning on Feature Manifolds by Spatially Regularized Geometric Assignment.
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

Learning Adaptive Regularization for Image Labeling Using Geometric Assignment.
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.
Numerical Algorithms, 2017

Image Labeling by Assignment.
Journal of Mathematical Imaging and Vision, 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.
Numerical Algorithms, 2016

Image Labeling by Assignment.
CoRR, 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

Single Projection Kaczmarz Extended Algorithms.
CoRR, 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. Inform., 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. Inform., 2013

Phase Transitions and Cosparse Tomographic Recovery of Compound Solid Bodies from Few Projections.
CoRR, 2013

A class of quasi-variational inequalities for adaptive image denoising and decomposition.
Comp. Opt. and 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 Processing, 2012

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

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

Critical Parameter Values and Reconstruction Properties of Discrete Tomography: Application to Experimental Fluid Dynamics
CoRR, 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.
Optimization Methods and Software, 2007

2004
On a semismooth least squares formulation of complementarity problems with gap reduction.
Optimization Methods and Software, 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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