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Büro: 31-459

Tel.: +49 (0)631 205 5328

E-Mail: neumayer[at]mathematik.uni-kl.de

Publications

Preprints

  • M. Hasannasab, S. Neumayer, G. Plonka, S. Setzer, G. Steidl, J. Geppert (2019).
    Frame soft shrinkage as proximity operator
    (arXiv Preprint#1910.02843)
    [arxiv]
  • M. Ehler,  M. Gräf, S. Neumayer, G. Steidl (2019).
    Curve Based Approximation of Measures on Manifolds by Discrepancy minimization.
    (arXiv Preprint #1910.06124)
    [arxiv]
  • S. Neumayer,  M. Nimmer, S. Setzer, G. Steidl (2019).
    On the rotational invariant L_1-norm PCA.
    (arXiv Preprint #1902.03840)
    [arxiv]
  • A. Effland, S. Neumayer, M. Rumpf (2019).
    Convergence of the Time Discrete Metamorphosis Model on Hadamard manifolds.
    (arXiv Preprint #1902.10930)
    [arxiv]
  • M. Bačák, J. Hertrich, S. Neumayer, G. Steidl (2019).
    Minimal Lipschitz and ∞-Harmonic Extensions of Vector-Valued Functions on Finite Graphs.
    (arXiv Preprint #1903.04873)
    [arxiv]

Journal articles

  • S. Neumayer,  M. Nimmer, S. Setzer, G. Steidl (2019).
    On the robust PCA and Weiszfeld's algorithm.
    Applied Mathematics and Optimization.
    [doi]
  • L. Lang, S. Neumayer, O. Öktem, C. B. Schönlieb (2019).
    Template-Based Image Reconstruction from Sparse Tomographic Data.
    Applied Mathematics and Optimization.
    [doi]   [Code]
  • S. Neumayer, J. Persch, G. Steidl (2019).
    Regularization of Inverse Problems via Time Discrete Geodesics in Image Spaces.
    Inverse Problems. 35, (5)
    [doi]
  • S. Neumayer, J. Persch, G. Steidl (2018).
    Morphing of Manifold-Valued Images inspired by Discrete Geodesics in Image Spaces.
    SIAM Journal on Imaging Sciences. 11, (3), 1898–1930.
    [doi]

Conference Proceedings

  • J. Hertrich, M. Bačák, S. Neumayer, G. Steidl (2019).
    Minimal Lipschitz Extensions for Vector-Valued Functions on Finite Graphs.
    Scale Space and Variational Methods in Computer Vision. Lellmann J., Burger M., Modersitzki J. (eds.) Lecture Notes in Computer Science 11603, 183-195.
    [doi]
  • J. Lellmann, S. Neumayer, M. Nimmer, G. Steidl, (2019)
    Methods for finding the offset in robust subspace fitting
    PAMM, 19(1)
  • S. Neumayer, M. Nimmer, G. Steidl, H. Stephani (2017).
    On a projected Weizfeld algorithm.
    Scale Space and Variational Methods in Computer Vision. Lauze F., Dong Y., Dahl A. (eds.) Lecture Notes in Computer Science 10302, 486-497.
    [doi]
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