Daniel Gaa
Position: Research Assistant
E-mail: gaa -at- mia.uni-saarland.de
(please replace anti-spam -at- by @)
Address: Mathematical Image Analysis Group
Faculty of Mathematics and Computer Science,
Saarland University
Campus E1.7
66041 Saarbrücken, Germany
see also Contact
Research Area

Publications

Journal Papers

  1. D. Gaa, J. Weickert, I. Farag, Ö. Çiçek:
    The filter echo: A general tool for filter visualisation.
    Journal of Mathematical Imaging and Vision, Vol. 68, Article No. 18, May 2026.
    Invited Paper.

  2. D. Gaa, V. Chizhov, P. Peter, J. Weickert, R. D. Adam:
    Connecting image inpainting with denoising in the homogeneous diffusion setting.
    Advances in Continuous and Discrete Models, Vol. 2025, Article No. 74, 2025.

Conference Papers

  1. C. Wang, D. Gaa, J. Weickert, K. Schrader:
    The neural echo: A signal processing perspective for understanding neural networks.
    To appear in Proc. 14th European Workshop on Visual Information Processing (EUVIP 2026, Luxembourg, Sept. 2026), IEEE, 2026.
    Also available as arXiv:2608.04864 [eess.SP], August 2026.

  2. D. Gaa, J. Weickert, I. Farag, Ö. Çiçek:
    Efficient representations of the diffusion echo.
    In T. A. Bubba, R. Gaburro, S. Gazzola, K. Papafitsoros, M. Pereyra, C.-B. Schönlieb (Eds.): Scale Space and Variational Methods in Computer Vision. Part II. Lecture Notes in Computer Science, Vol. 15668, Springer, Cham, 324-336, 2025.

Theses

  1. D. Gaa:
    Adaptive Diffusion Models for Image Denoising.
    M.Sc. Thesis in Visual Computing,
    Saarland University, Saarbrücken, Germany, October 2021.

Teaching

Courses

Supervised Students