7 citations · 9 across the 6 of their papers we have counts for
4 papers · 1 filter
Inverse Scale Space Iterations for Non-Convex Variational Problems: The Continuous and Discrete Case
Danielle Bednarski, Jan Lellmann
Non-linear filtering approaches allow to obtain decompositions of images with respect to a non-classical notion of scale, induced by the choice of a convex, absolutely one-homogene…
Inverse Scale Space Iterations for Non-Convex Variational Problems Using Functional Lifting
Danielle Bednarski, Jan Lellmann
Non-linear filtering approaches allow to obtain decompositions of images with respect to a non-classical notion of scale. The associated inverse scale space flow can be obtained us…
Lifting methods for manifold-valued variational problems
Thomas Vogt, Evgeny Strekalovskiy, Daniel Cremers +1
Lifting methods allow to transform hard variational problems such as segmentation and optical flow estimation into convex problems in a suitable higher-dimensional space. The lifte…
Higher-Order Total Directional Variation: Imaging Applications
Simone Parisotto, Jan Lellmann, Simon Masnou +1
We introduce a class of higher-order anisotropic total variation regularisers, which are defined for possibly inhomogeneous, smooth elliptic anisotropies, that extends the Total Ge…