Freddie Åström

According to our database, Freddie Åström authored at least 28 papers between 2011 and 2020.

Collaborative distances:

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

2020

Numerical simulations in 3-dimensions of reaction-diffusion models for brain tumour growth.

Rym Jaroudi, Freddie Åström, B. Tomas Johansson, George Baravdish

Int. J. Comput. Math., 2020

2018

Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment.

Ruben Hühnerbein, Fabrizio Savarino, Freddie Åström, Christoph Schnörr

SIAM J. Imaging Sci., 2018

Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment.

Artjom Zern, Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr

Proceedings of the Pattern Recognition - 40th German Conference, 2018

2017

Image Labeling by Assignment.

Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr

J. Math. Imaging Vis., 2017

Mapping-Based Image Diffusion.

Freddie Åström, Michael Felsberg, George Baravdish

J. Math. Imaging Vis., 2017

A geometric approach for color image regularization.

Freddie Åström, Christoph Schnörr

Comput. Vis. Image Underst., 2017

Image Reconstruction by Multilabel Propagation.

Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr

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

Graphical Model Parameter Learning by Inverse Linear Programming.

Vera Trajkovska, Paul Swoboda, Freddie Åström, Stefania Petra

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

Numerical Integration of Riemannian Gradient Flows for Image Labeling.

Fabrizio Savarino, Ruben Hühnerbein, Freddie Åström, Judit Recknagel, Christoph Schnörr

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

MAP Image Labeling Using Wasserstein Messages and Geometric Assignment.

Freddie Åström, Ruben Hühnerbein, Fabrizio Savarino, Judit Recknagel, Christoph Schnörr

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

2016

A Geometric Approach to Color Image Regularization.

Freddie Åström, Christoph Schnörr

CoRR, 2016

Color image regularization via channel mixing and half quadratic minimization.

Freddie Åström

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

Double-Opponent Vectorial Total Variation.

Freddie Åström, Christoph Schnörr

Proceedings of the Computer Vision - ECCV 2016, 2016

A Geometric Approach to Image Labeling.

Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr

Proceedings of the Computer Vision - ECCV 2016, 2016

Source Localization of Reaction-Diffusion Models for Brain Tumors.

Rym Jaroudi, George Baravdish, Freddie Åström, B. Tomas Johansson

Proceedings of the Pattern Recognition - 38th German Conference, 2016

The Assignment Manifold: A Smooth Model for Image Labeling.

Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2016

2015

Variational Tensor-Based Models for Image Diffusion in Non-Linear Domains.

Freddie Åström

PhD thesis, 2015

Extension of p-Laplace Operator for Image Denoising.

George Baravdish, Yuanji Cheng, Olof Svensson, Freddie Åström

Proceedings of the System Modeling and Optimization - 27th IFIP TC 7 Conference, CSMO 2015, 2015

Adaptive sharpening of multimodal distributions.

Freddie Åström, Michael Felsberg, Hanno Scharr

Proceedings of the Colour and Visual Computing Symposium, 2015

On coupled regularization for non-convex variational image enhancement.

Freddie Åström, Christoph Schnörr

Proceedings of the 3rd IAPR Asian Conference on Pattern Recognition, 2015

2014

Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion.

Christian Heinemann, Freddie Åström, George Baravdish, Kai Krajsek, Michael Felsberg, Hanno Scharr

Proceedings of the VISAPP 2014, 2014

A Tensor Variational Formulation of Gradient Energy Total Variation.

Freddie Åström, George Baravdish, Michael Felsberg

Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2014

On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising.

Freddie Åström, Michael Felsberg

Proceedings of the Computer Vision - ACCV 2014 Workshops, 2014

2013

Density Driven Diffusion.

Freddie Åström, Vasileios Zografos, Michael Felsberg

Proceedings of the Image Analysis, 18th Scandinavian Conference, 2013

Targeted Iterative Filtering.

Freddie Åström, Michael Felsberg, George Baravdish, Claes Lundström

Proceedings of the Scale Space and Variational Methods in Computer Vision, 2013

2012

On Tensor-Based PDEs and Their Corresponding Variational Formulations with Application to Color Image Denoising.

Freddie Åström, George Baravdish, Michael Felsberg

Proceedings of the Computer Vision - ECCV 2012, 2012

2011

A parallel neural network approach to prediction of Parkinson's Disease.

Freddie Åström, Rasit Köker

Expert Syst. Appl., 2011

Color Persistent Anisotropic Diffusion of Images.

Freddie Åström, Michael Felsberg, Reiner Lenz

Proceedings of the Image Analysis - 17th Scandinavian Conference, 2011