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Jan Henrik Fitschen, M.Sc.

Inhaltsbereich / Content

Jan Henrik Fitschen, M.Sc.

Technische Universität Kaiserslautern
Fachbereich Mathematik
Postfach 3049
67653 Kaiserslautern

Office: 31-457
Phone: +49 (0)631 205 5326
Email: fitschen[at]mathematik.uni-kl.de

Publications

  • X. Cai and J. H. Fitschen and M. Nikolova and G. Steidl and M. Storath (2015).
    Disparity and Optical Flow Partitioning Using Extended Potts Priors.
    IMA Journal of Information and Inference. 4, (1), 43-62.
    [doi] [www] [BibTex]

  • F. Balle and D. Eifler and J. H. Fitschen and S. Schuff and G. Steidl (2015).
    Computation and Visualization of Local Deformation for Multiphase Metallic Materials by Infimal Convolution of TV-type Functionals.
    Scale Space and Variational Methods in Computer Vision. Aujol, Jean-François and Nikolova, Mila and Papadakis, Nicolas (eds.) Lecture Notes in Computer Science 9087, 385-396.
    [doi] [www] [BibTex]
  • J. H. Fitschen and M. Nikolova and F. Pierre and G. Steidl (2015).
    A Variational Model for Color Assignment.
    Scale Space and Variational Methods in Computer Vision. Aujol, Jean-François and Nikolova, Mila and Papadakis, Nicolas (eds.) Lecture Notes in Computer Science 9087, 437-448.
    [doi] [www] [BibTex]
  • J. H. Fitschen and F. Laus and G. Steidl (2015).
    Dynamic Optimal Transport with Mixed Boundary Condition for Color Image Processing.
    International Conference on Sampling Theory and Applications (SampTA), 2015. 558-562.
    [doi] [www] [BibTex]

  • J. H. Fitschen and F. Laus and G. Steidl (2016).
    Transport between RGB Images Motivated by Dynamic Optimal Transport.
    Journal of Mathematical Imaging and Vision. 56, (3), 409-429.
    [doi] [www] [BibTex]

  • R. Bergmann, J. H. Fitschen J. Persch, G. Steidl (2017).
    Iterative Multiplicative Filters for Data Labeling.
    International Journal of Computer Vision.
    [doi] [www] [BibTex]

  • J. H. Fitschen and J. Ma and S. Schuff (2017).
    Removal of Curtaining Effects by a Variational Model with Directional Forward Differences.
    Computer Vision and Image Understanding. 155, 24-32.
    [doi] [www] [BibTex]

Accepted

  • R. Bergmann and J. H. Fitschen and J. Persch and G. Steidl (2017).
    Infimal Convolution Type Coupling of First and Second Order Differences on Manifold-Valued Images.
    Accepted for Scale Space and Variational Methods in Computer Vision 2017.
    [BibTex]

  • J. H. Fitschen and F. J. Laus and B. Schmitzer (2017).
    Generalized Optimal Transport for Manifold-Valued Images.
    Accepted for Scale Space and Variational Methods in Computer Vision 2017.
    [BibTex]

Preprints

  • J. H. Fitschen, K. Losch, G. Steidl (2017).
    Unsupervised Multi Class Segmentation of 3D Images with Intensity Inhomogeneities.
    ArXiv Preprint 1702.02300.
    [www] [BibTex]

  • F. Balle, T. Beck, D. Eifler, J. H. Fitschen, S. Schuff, G. Steidl (2017).
    Strain Analysis by a Total Generalized Variation Regularized Optical Flow Model.
    ArXiv Preprint 1704.06028.
    [www] [BibTex]

Conferences / Workshops