Dr Freddie Astroem

HCI->Freddie Åström
   



Universität Heidelberg
IWR / R. B108
Berliner Str. 43
69120 Heidelberg
Germany
Tel: +49-(0) 622 154 14858
Email: freddie.astroem (at) iwr.uni-heidelberg.de

    2017-present Postdoc, HCI core, Heidelberg University, Germany
    04/2017 Nominated for Best Nordic PhD Thesis 2015-2016 by the Swedish Society for Automated Image Analysis [doi] [pdf]
    2015-2017 Postdoc, Research Training Group, Heidelberg University, Germany
    04/2015 PhD in Computer Vision, Computer Vision Laboratory, Linköping University, Sweden.

    Google scholar profile


    Journal Papers

    Hühnerbein, R.; Savarino, F.; Åström, F.; and Schnörr, C., "Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment", SIAM J. Imaging Science, in press, 2018. [pdf] [www]

    Åström, F. and Schnörr, C. "A Geometric Approach to Color Image Regularization", Accepted, Computer Vision and Image Understanding (CVIU), 2017. [pdf] [doi]

    Freddie Åström, Stefania Petra, Bernhard Schmitzer and Christoph Schnörr "Image Labeling by Assignment", Journal of Mathematical Imaging and Vision, 58 (2): 211-238, 2017. [pdf] [www]

    Freddie Åström, Michael Felsberg and George Baravdish "Mapping-based Image Diffusion", Journal of Mathematical Imaging and Vision, pp. 1--31 2016. [doi] [pdf]

    George Baravdish, Olof Svensson, Freddie Åström, "On Backward p(x)-Parabolic Equations for Image Enhancement", Numerical Functional Analysis and Optimization, 36(2): 147-168, 2015. [doi]

    Freddie Åström, Rasit Köker, "A parallel neural network approach to prediction of Parkinson's Disease ", Expert Systems with Applications, Volume 38, Issue 10, 15 September 2011, Pages 12470-12474. [doi]

    arXiv pre-prints

    Hühnerbein, R.; Savarino, F.; Åström, F.; and Schnörr, C., "Image Labeling Based on Graphical Models Using Wasserstein Messages and Geometric Assignment", arXiv, pre-print 2017. [pdf] [www]

    Åström, F. and Schnörr, C. "A Geometric Approach to Color Image Regularization", arXiv, pre-print 2016. [pdf] [www]

    Åström, F.; Petra, S.; Schmitzer, B. and Schnörr, C., "Image Labeling by Assignment", arXiv, pre-print 2016. [pdf] [www]

    Peer-reviewed conference contributions

    Åström, F.; Garske, R.; Savarino, F.; Recknagel, J. and Schnörr, C. "MAP Image Labeling Using Wasserstein Messages and Geometric Assignment", SSVM (in press), LNCS, Denmark, 2017.

    Savarino, F.; Garske, R.; Åström, F.; Recknagel, J. and Schnörr, C. "Numerical Integration of Riemannian Gradient Flows for Image Labeling", SSVM (in press), LNCS, Denmark, 2017.

    Trajkovska, V.; Swoboda, P.; Åström, F. and Petra, S. " Graphical Model Parameter Learning by Inverse Linear Programming ", SSVM (in press), LNCS, Denmark, 2017.

    Zisler, M.; Åström, F.; Petra, S. and Schnörr, C. "Image Reconstruction by Multilabel Propagation", SSVM (in press), LNCS, Denmark, 2017.

    Åström F.; Petra, S.; Schmitzer, B. and Schnörr, C. "A Geometric Approach to Image Labeling", European Conference on Computer Vision (ECCV) Amsterdam, Netherlands, 2016. [pdf]

    Åström F. and Schnörr, C. "Double-Opponent Vectorial Total Variation", European Conference on Computer Vision (ECCV) Amsterdam, Netherlands, 2016. [pdf]

    Jaroudi R.; Baravdish G.; Åström F.; Johansson B.T. "Source Localization of Reaction-Diffusion Models for Brain Tumors", German Conference on Pattern Recognition (GCPR), Hannover, Germany, 2016.

    Åström F.; . "Color Image Regularization via Channel Mixing and Half Quadratic Minimization", International Conference on Image Processing (ICIP), Phoenix, USA, 2016.

    Åström F.; Petra, S.; Schmitzer, B. and Schnörr, C. The Assignment Manifold: A Smooth Model for Image Labeling. In Proc. 2nd Int. Workshop on Differential Geometry in Computer Vision and Machine Learning (DIFF-CVML'16) held in conjunction with CVPR, Las Vegas, USA, (Grenander best paper award) 2016. [pdf]

    Freddie Åström, Christoph Schnörr "On Coupled Regularization for Non-Convex Variational Image Enhancement", Asian Conference on Pattern Recognition (ACPR), Kuala Lumpur, Malaysia, 2015. [doi]

    Freddie Åström, Michael Felsberg, Hanno Scharr "Adaptive Sharpening of Multimodal Distributions", Colour and Visual Computing Symposium (CVCS), 2015, p. 1-4, Gjovik, Norway. [doi] [pdf]

    Freddie Åström, George Baravdish, Michael Felsberg, "A Tensor Variational Formulation of Gradient Energy Total Variation", 10th International Conference on Energy Minimization Methods in Computer Vision and Pattern Recognition (EMMCVPR), 13-16 January 2015, Hong Kong, China, 2015. [doi] [pdf]

    Freddie Åström, Michael Felsberg, "On the Choice of Tensor Estimation for Corner Detection, Optical Flow and Denoising", Workshop on Emerging Topics in Image Restoration and Enhancement (IREw 2014) in conjunction with Asian Conference on Computer Vision (ACCV), Singapore, 2014. [doi] [pdf]

    Christian Heinemann, Freddie Åström, George Baravdish, Kai Krajsek, Michael Felsberg, Hanno Scharr, "Using Channel Representation in Regularization Terms: A Case Study on Image Diffusion", VISAPP, 2014. [link]

    Freddie Åström,, Vasileios Zografos, Michael Felsberg, "Density Driven Diffusion", 18th Scandinavian Conferences on Image Analysis (SCIA), 2013. [doi] [pdf]

    Freddie Åström, Michael Felsberg, George Baravdish, Claes Lundström, "Targeted Iterative Filtering", SSVM, 2-6 June 2013, Austria, LNCS, Vol. 7893, 1-11, 2013. [doi] [pdf] [code]

    Åström, Michael Felsberg, Reiner Lenz, "On Tensor-Based PDEs and their Corresponding Variational Formulations with Application to Color Image Denoising", ECCV, Firenze, Italy, LNCS, Vol. 7574, 2012. [doi] [pdf] [code]

    Freddie Åström, Michael Felsberg, Reiner Lenz, "Color Persistent Anisotropic Diffusion of Images", Scandinavian Conference on Image Analysis (SCIA), LNCS, Vol. 6688, 262-272, 2011. [doi] [pdf]

    Monographs

    Freddie Åström, "Variational Tensor-Based Models for Image Diffusion in Non-Linear Domains", Linköping Studies in Science and Technology. Dissertations, No. 1646, 2015. [doi] [pdf]

    Freddie Åström, "A Variational Approach to Image Diffusion in Non-Linear Domains", Linköping Studies in Science and Technology. Thesis, No. 1594, 2013. [doi] [pdf]