Research Meeting 27143
Mathematical Modelling for Machine Learning in Visual Computing
( Apr 07 – Apr 09, 2027 )
Permalink
Please use the following short url to reference this page:
https://www.dagstuhl.de/27143
Organizers
- Florian Bernard (Universität Bonn, DE)
- Zorah Lähner (Universität Bonn, DE)
- Jovita Lukasik (Universität Siegen, DE)
- Michael Möller (Universität Siegen, DE)
Contact
- Heike Clemens (for administrative matters)
In this research meeting we will discuss different aspects of mathematical modelling at the intersection of machine learning and visual computing. One specific focus will lie on the incorporation of prior knowledge (e.g. about physics laws or geometry) represented in the form of mathematical models, thereby achieving theoretical guarantees and reducing the amount of required (labeled) training data. Furthermore, we will discuss different (neural) representations in the fields of geometry processing, inverse imaging problems, and physics understanding from visual data.
Creative Commons BY 4.0
Florian Bernard, Zorah Lähner, Jovita Lukasik, and Michael Möller
Classification
- Computer Vision and Pattern Recognition
- Machine Learning
