3 citations · 3 across the 4 of their papers we have counts for
6 papers
Yang-Mills Meets Data
Jonas Cassel, Fabio Schlindwein, Peter Albers +1
Gauge symmetric methods for data representation and analysis utilize tools from the differential geometry of vector bundles in order to achieve consistent data processing architect…
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…
Approximate Variational Inference Based on a Finite Sample of Gaussian Latent Variables
Nikolaos Gianniotis, Christoph Schnörr, Christian Molkenthin +1
Variational methods are employed in situations where exact Bayesian inference becomes intractable due to the difficulty in performing certain integrals. Typically, variational meth…
Joint Recursive Monocular Filtering of Camera Motion and Disparity Map
Johannes Berger, Christoph Schnörr
Monocular scene reconstruction is essential for modern applications such as robotics or autonomous driving. Although stereo methods usually result in better accuracy than monocular…
A Geometric Approach to Color Image Regularization
Freddie Åström, Christoph Schnörr
We present a new vectorial total variation method that addresses the problem of color consistent image filtering. Our approach is inspired from the double-opponent cell representat…
Second Order Minimum Energy Filtering on with Nonlinear Measurement Equations
Johannes Berger, Andreas Neufeld, Florian Becker +2
Accurate camera motion estimation is a fundamental building block for many Computer Vision algorithms. For improved robustness, temporal consistency of translational and rotational…