Staff Marko Rajković

Phone: +49 228 73-2718
Office: EA60 Z2.064
E-Mail: ed tod nnob-inu tod sni ta civokjar tod okrama tod b@foo tod de

Teaching

Winter semester 2020/21

Summer semester 2019

Winter semester 2018/19

See teaching activities of the whole group.

Current 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. Convergent autoencoder approximation of low bending and low distortion manifold embeddings. J. Braunsmann, M. Rajković, M. Rumpf, and B. Wirth. submitted, 2022. BibTeX arXiv
  3. 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
  4. 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
  5. 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
  6. Splines for image metamorphosis. J. Justiniano, M. Rajković, and M. Rumpf. In Scale Space and Variational Methods in Computer Vision, 463–475. 2021. BibTeX