Danielle Bednarski, M.Sc.

Institute of Mathematics and Image Computing
University of Lübeck

Fraunhofer MEVIS


Maria-Goeppert-Str. 3
23562 Lübeck

Email:bednarski(at)mic.uni-luebeck.de
danielle.bednarski(at)mevis.fraunhofer.de
Phone:+49 451 3101 6125
Fax:+49 451 3101 6104

Education

  • 2019: Master's degree (with honours): "Mathematik in Medizin und Lebenswissenschaften" (Computational Life Science) | University of Lübeck
  • 2018: Bachelor's degree (very good): "Mathematik in Medizin und Lebenswissenschaften" (Computational Life Science) | University of Lübeck
  • 2013: Abitur | Maria Ward Gymnasium, Nürnberg

Awards

  • 05/2021 | Best Student Paper Prize at the Eighth International Conference on Scale Space and Variational Methods in Computer Vision (SSVM) for the paper ''Inverse Scale Space Iterations for Non-Convex Variational Problems Using Functional Lifting".

Publications

2023

  • Bednarski, Danielle and Lellmann, Jan: EmNeF: Neural Fields for Embedded Variational Problems in Imaging. in Scale Space and Variational Methods in Computer Vision, pp. 137-148, Springer International Publishing, Cham, 2023
    BibTeX Link
    @InProceedings{bednarski2023emnef,
      author    = {Bednarski, Danielle and Lellmann, Jan},
      title     = {EmNeF: Neural Fields for Embedded Variational Problems in Imaging},
      booktitle = {Scale Space and Variational Methods in Computer Vision},
      year      = {2023},
      editor    = {Calatroni, Luca and Donatelli, Marco and Morigi, Serena and Prato, Marco and Santacesaria, Matteo},
      pages     = {137--148},
      address   = {Cham},
      publisher = {Springer International Publishing},
      doi       = {https://doi.org/10.1007/978-3-031-31975-4_11},
      isbn      = {978-3-031-31975-4},
     url = {https://link.springer.com/chapter/10.1007/978-3-031-31975-4_11},
    }

2022

  • Danielle Bednarski and Jan Lellmann: Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case. J Math Imaging Vis, 2022
    BibTeX Link
    @Article{bednarski2022inverse,
      author  = {Danielle Bednarski and Jan Lellmann},
      title   = {Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case},
      journal = {J Math Imaging Vis},
      year    = {2022},
      doi     = {10.1007/s10851-022-01125-8},
      url = {https://link.springer.com/article/10.1007/s10851-022-01125-8},
    }

2021

  • Bednarski, Danielle and Lellmann, Jan: Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting. in Scale Space and Variational Methods in Computer Vision, pp. 229-241, Springer International Publishing, Cham, 2021
    BibTeX Datei
    @InProceedings{BednarskiLellmann2021,
    author="Bednarski, Danielle and Lellmann, Jan"
    editor="Elmoataz, Abderrahim and Fadili, Jalal and Qu{\'e}au, Yvain and Rabin, Julien and Simon, Lo{\"i}c"
    title="Inverse Scale Space Iterations for Non-convex Variational Problems Using Functional Lifting"
    booktitle="Scale Space and Variational Methods in Computer Vision"
    year="2021"
    publisher="Springer International Publishing"
    address="Cham"
    pages="229--241"
    isbn="978-3-030-75549-2"
    }

Talks

  • 03/2022 SIAM IS
    Inverse Scale Space Iterations for Convex and Non-Convex Variational Problems
  • 05/2021 SSVM
    Inverse Scale Space Iterations for Non-Convex Variational Problems Using Functional Lifting | Slides

Preprints

  • Thomas Vogt, Roland Haase, Danielle Bednarski, Jan Lellmann: On the Connection between Dynamical Optimal Transport and Functional Lifting, 2020 ­PDF (preprint)

Teaching

All course materials are available on Moodle.

  • Summer term 2023
    • Variationsrechnung und Partielle Differentialgleichungen (teaching assistant)
  • Winter term 2022/2023
    • Mathematische Methoden der Bildverarbeitung (teaching assistant)
  • Summer term 2022
    • Numerik der Bildverarbeitung (teaching assistant)
  • Winter term 2021/2022
    • Bildregistrierung (teaching assistant)
  • Summer term 2021
    • Variationsrechnung und Partielle Differentialgleichungen (teaching assistant)
    • Optimierung (teaching assistant)
  • Winter term 2020/2021
    • Mathematische Methoden der Bildverarbeitung (teaching assistant)
    • Nichtglatte Optimierung und Analysis (teaching assistant)
  • Summer term 2020
    • Optimierung (teaching assistant)
  • Winter term 2019/2020
    • Bildregistrierung (teaching assistant)
    • Nichtglatte Optimierung und Analysis (teaching assistant)