activity
20182020
collaborators

5 papers

math.AP2020

Stability, well-posedness and regularity of the homogeneous Landau equation for hard potentials

Nicolas Fournier, Daniel Heydecker

We establish the well-posedness and some quantitative stability of the spatially homogeneous Landau equation for hard potentials, using some specific Monge-Kantorovich cost, assumi…

cs.CV2019

Dynamic Spectral Residual Superpixels

Jianchao Zhang, Angelica I. Aviles-Rivero, Daniel Heydecker +3

We consider the problem of segmenting an image into superpixels in the context of -means clustering, in which we wish to decompose an image into local, homogeneous regions corre…

math.PR2019

Bilinear Coagulation Equations

Daniel Heydecker, Robert I. A. Patterson

We consider coagulation equations of Smoluchowski or Flory type where the total merge rate has a bilinear form for a vector of conserved quantities , generalis…

cs.CV2018

Mirror, Mirror, on the Wall, Who's Got the Clearest Image of Them All? - A Tailored Approach to Single Image Reflection Removal

Daniel Heydecker, Georg Maierhofer, Angelica I. Aviles-Rivero +4

Removing reflection artefacts from a single image is a problem of both theoretical and practical interest, which still presents challenges because of the massively ill-posed nature…

cs.CV2018

Peekaboo - Where are the Objects? Structure Adjusting Superpixels

Georg Maierhofer, Daniel Heydecker, Angelica I. Aviles-Rivero +2

This paper addresses the search for a fast and meaningful image segmentation in the context of -means clustering. The proposed method builds on a widely-used local version of Ll…