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

Journal Papers

  1. 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. 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