16 citations · 24 across the 8 of their papers we have counts for
5 papers
Bose Einstein condensate as nonlinear block of a Machine Learning pipeline
Maurus Hans, Elinor Kath, Marius Sparn +5
Physical systems can be used as an information processing substrate and with that extend traditional computing architectures. For such an application the experimental platform must…
Multi-view Monocular Depth and Uncertainty Prediction with Deep SfM in Dynamic Environments
Christian Homeyer, Oliver Lange, Christoph Schnörr
3D reconstruction of depth and motion from monocular video in dynamic environments is a highly ill-posed problem due to scale ambiguities when projecting to the 2D image domain. In…
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…