Staff Dr. Marko Rajković

Mr. Rajković is now at d-fine. This page is no longer maintained.

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Teaching

Winter semester 2020/21

Summer semester 2019

Winter semester 2018/19

See teaching activities of the whole group.

Completed Research Projects

Discrete Riemannian calculus on shape space

Project C05, DFG SFB 1060.

Show description. Homepage.

Publications

  1. The variational approach to the flow of Sobolev-diffeomorphisms model. M. Guastini, M. Rajković, M. Rumpf, and B. Wirth. In L. Calatroni, M. Donatelli, S. Morigi, M. Prato, and M. Santacesaria, editors, Scale Space and Variational Methods in Computer Vision, 551–564. Cham, 2023. Springer International Publishing. BibTeX PDF DOI
  2. Geodesics, Splines, and Embeddings in Spaces of Images. Marko Rajković. PhD thesis, University of Bonn, 2023. BibTeX PDF
  3. Convergent autoencoder approximation of low bending and low distortion manifold embeddings. J. Braunsmann, M. Rajković, M. Rumpf, and B. Wirth. submitted, 2022. BibTeX arXiv
  4. Consistent approximation of interpolating splines in image metamorphosis. J. Justiniano, M. Rajković, and M. Rumpf. J. Math. Imaging Vis., 42(1):78–106, 2022. BibTeX DOI arXiv
  5. Learning low bending and low distortion manifold embeddings. J. Braunsmann, M. Rajković, M. Rumpf, and B. Wirth. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 4416–4424. June 2021. BibTeX arXiv
  6. Image morphing in deep feature spaces: theory and applications. A. Effland, E. Kobler, T. Pock, M. Rajković, and M. Rumpf. J. Math. Imaging Vis., 63:309–327, 2021. BibTeX DOI arXiv
  7. Splines for image metamorphosis. J. Justiniano, M. Rajković, and M. Rumpf. In Scale Space and Variational Methods in Computer Vision, 463–475. 2021. BibTeX