2 citations · 2 across the 1 of their papers we have counts for
5 papers
Joint reconstruction-segmentation on graphs
Jeremy Budd, Yves van Gennip, Jonas Latz +2
Practical image segmentation tasks concern images which must be reconstructed from noisy, distorted, and/or incomplete observations. A recent approach for solving such tasks is to…
Deep Limits of Residual Neural Networks
Matthew Thorpe, Yves van Gennip
Neural networks have been very successful in many applications; we often, however, lack a theoretical understanding of what the neural networks are actually learning. This problem…
An MBO scheme for minimizing the graph Ohta-Kawasaki functional
Yves van Gennip
We study a graph based version of the Ohta-Kawasaki functional, which was originally introduced in a continuum setting to model pattern formation in diblock copolymer melts and has…
A Max-Cut approximation using a graph based MBO scheme
Blaine Keetch, Yves van Gennip
The Max-Cut problem is a well known combinatorial optimization problem. In this paper we describe a fast approximation method. Given a graph G, we want to find a cut whose size is…
Graph clustering, variational image segmentation methods and Hough transform scale detection for object measurement in images
Luca Calatroni, Yves van Gennip, Carola-Bibiane Schönlieb +2
We consider the problem of scale detection in images where a region of interest is present together with a measurement tool (e.g. a ruler). For the segmentation part, we focus on t…