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ORCIDFreddie Åström
Person information
- affiliation: Heidelberg University, HCI, Germany
- affiliation: Linköping University, Computer Vision Laboratory, Sweden
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2020 – today
- 2020
[j6]Rym Jaroudi
, Freddie Åström, B. Tomas Johansson, George Baravdish:
Numerical simulations in 3-dimensions of reaction-diffusion models for brain tumour growth. Int. J. Comput. Math. 97(6): 1151-1169 (2020)
2010 – 2019
- 2018
- [j5]Ruben Hühnerbein, Fabrizio Savarino, Freddie Åström, Christoph Schnörr:
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. SIAM J. Imaging Sci. 11(2): 1317-1362 (2018) - [c20]Artjom Zern, Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr:
Unsupervised Label Learning on Manifolds by Spatially Regularized Geometric Assignment. GCPR 2018: 698-713 - 2017
- [j4]Freddie Åström, Christoph Schnörr:
A geometric approach for color image regularization. Comput. Vis. Image Underst. 165: 43-59 (2017) - [j3]Freddie Åström, Michael Felsberg, George Baravdish:
Mapping-Based Image Diffusion. J. Math. Imaging Vis. 57(3): 293-323 (2017) - [j2]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
Image Labeling by Assignment. J. Math. Imaging Vis. 58(2): 211-238 (2017) - [c19]Matthias Zisler, Freddie Åström, Stefania Petra, Christoph Schnörr:
Image Reconstruction by Multilabel Propagation. SSVM 2017: 247-259 - [c18]Vera Trajkovska, Paul Swoboda, Freddie Åström, Stefania Petra:
Graphical Model Parameter Learning by Inverse Linear Programming. SSVM 2017: 323-334 - [c17]Fabrizio Savarino, Ruben Hühnerbein, Freddie Åström, Judit Recknagel, Christoph Schnörr:
Numerical Integration of Riemannian Gradient Flows for Image Labeling. SSVM 2017: 361-372 - [c16]Freddie Åström, Ruben Hühnerbein, Fabrizio Savarino, Judit Recknagel, Christoph Schnörr:
MAP Image Labeling Using Wasserstein Messages and Geometric Assignment. SSVM 2017: 373-385 - [i3]Ruben Hühnerbein, Fabrizio Savarino, Freddie Åström, Christoph Schnörr:
Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment. CoRR abs/1710.01493 (2017) - 2016
- [c15]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
The Assignment Manifold: A Smooth Model for Image Labeling. CVPR Workshops 2016: 963-971 - [c14]Rym Jaroudi, George Baravdish, Freddie Åström, B. Tomas Johansson:
Source Localization of Reaction-Diffusion Models for Brain Tumors. GCPR 2016: 414-425 - [c13]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
A Geometric Approach to Image Labeling. ECCV (5) 2016: 139-154 - [c12]Freddie Åström, Christoph Schnörr:
Double-Opponent Vectorial Total Variation. ECCV (2) 2016: 644-659 - [c11]Freddie Åström:
Color image regularization via channel mixing and half quadratic minimization. ICIP 2016: 4007-4011 - [i2]Freddie Åström, Stefania Petra, Bernhard Schmitzer, Christoph Schnörr:
Image Labeling by Assignment. CoRR abs/1603.05285 (2016) - [i1]Freddie Åström, Christoph Schnörr:
A Geometric Approach to Color Image Regularization. CoRR abs/1605.05977 (2016) - 2015
- [b1]Freddie Åström:
Variational Tensor-Based Models for Image Diffusion in Non-Linear Domains. Linköping University, Sweden, 2015 - [c10]Freddie Åström, Christoph Schnörr:
On coupled regularization for non-convex variational image enhancement. ACPR 2015: 786-790 - [c9]Freddie Åström, Michael Felsberg, Hanno Scharr:
Adaptive sharpening of multimodal distributions. CVCS 2015: 1-4 - [c8]George Baravdish, Yuanji Cheng, Olof Svensson, Freddie Åström:
Extension of p-Laplace Operator for Image Denoising. System Modelling and Optimization 2015: 107-116 - 2014
- [c7]Freddie Åström, Michael Felsberg:
On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising. ACCV Workshops (2) 2014: 16-30 - [c6]Freddie Åström, George Baravdish, Michael Felsberg:
A Tensor Variational Formulation of Gradient Energy Total Variation. EMMCVPR 2014: 307-320 - [c5]Christian Heinemann, Freddie Åström, George Baravdish, Kai Krajsek, Michael Felsberg, Hanno Scharr:
Using Channel Representations in Regularization Terms - A Case Study on Image Diffusion. VISAPP (1) 2014: 48-55 - 2013
- [c4]Freddie Åström, Michael Felsberg, George Baravdish, Claes Lundström:
Targeted Iterative Filtering. SSVM 2013: 1-11 - [c3]Freddie Åström, Vasileios Zografos, Michael Felsberg:
Density Driven Diffusion. SCIA 2013: 718-730 - 2012
- [c2]Freddie Åström, George Baravdish, Michael Felsberg:
On Tensor-Based PDEs and Their Corresponding Variational Formulations with Application to Color Image Denoising. ECCV (3) 2012: 215-228 - 2011
- [j1]Freddie Åström, Rasit Köker:
A parallel neural network approach to prediction of Parkinson's Disease. Expert Syst. Appl. 38(10): 12470-12474 (2011) - [c1]Freddie Åström, Michael Felsberg, Reiner Lenz:
Color Persistent Anisotropic Diffusion of Images. SCIA 2011: 262-272
Coauthor Index
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