56 citations · 199 across the 40 of their papers we have counts for
5 papers · 1 filter
Partial Optimality by Pruning for MAP-Inference with General Graphical Models
Paul Swoboda, Alexander Shekhovtsov, Jörg Hendrik Kappes +2
We consider the energy minimization problem for undirected graphical models, also known as MAP-inference problem for Markov random fields which is NP-hard in general. We propose a…
Solving QVIs for Image Restoration with Adaptive Constraint Sets
Frank Lenzen, Jan Lellmann, Florian Becker +1
We consider a class of quasi-variational inequalities (QVIs) for adaptive image restoration, where the adaptivity is described via solution-dependent constraint sets. In previous w…
Globally Optimal Joint Image Segmentation and Shape Matching Based on Wasserstein Modes
Bernhard Schmitzer, Christoph Schnörr
A functional for joint variational object segmentation and shape matching is developed. The formulation is based on optimal transport w.r.t. geometric distance and local feature si…
A Comparative Study of Modern Inference Techniques for Structured Discrete Energy Minimization Problems
Jörg H. Kappes, Bjoern Andres, Fred A. Hamprecht +10
Szeliski et al. published an influential study in 2006 on energy minimization methods for Markov Random Fields (MRF). This study provided valuable insights in choosing the best opt…
Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization
Fabian Rathke, Stefan Schmidt, Christoph Schnörr
With the introduction of spectral-domain optical coherence tomography (OCT), resulting in a significant increase in acquisition speed, the fast and accurate segmentation of 3-D OCT…