Daniel Gaa
Position: Research Assistant
Phone: +49-681-302-57350
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
Office: Room 4.03
Building E1.7, Saarbrücken Campus
see also Contact
Research Area

Publications

Publications

  1. 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.

  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.

Theses

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

Teaching

Courses