Aktuelle Themen aus Bildverarbeitung und Computer Vision werden von
Absolventen, Mitgliedern und Gästen der Arbeitsgruppe besprochen.
Studierende aus Mathematik, Informatik und Visual Computing, die sich
einen Einblick in aktuelle Forschungsthemen der Arbeitsgruppe verschaffen
wollen, sind jederzeit willkommen.
Datum |
Uhrzeit |
Vortragende/r |
Vortragstitel |
09.10. | 16:15 |
Pascal Peter |
Diffusion-based Colour Compression |
10.10. | 16:15 |
Mykola Byelytskyy |
A PDE Formalization of Retinex Theory |
10.10. | 17:00 |
Alexander Scheer |
Entropy Coding for PDE-Based Image Compression |
24.10. | 16:15 |
Markus Schneider |
Image Compression with Gradient Domain Methods |
24.10. | 17:00 |
Timo Adam |
Object Tracking using Variational Optic Flow Methods |
11.12. | 16:15 |
Laurent Hoeltgen |
Why Does Non-binary Mask Optimisation Work for
Diffusion-based Image Compression?
|
18.12. | 16:15 |
Pascal Peter |
Justifying Tensor-Driven Diffusion from Structure-Adaptive Statistics of Natural Images |
19.12. | 16:15 |
Sebastian Hoffmann |
Discrete Green's Functions for Harmonic and Biharmonic Inpainting with Sparse Atoms |
16.01. | 16:15 |
Hui Men |
Scene Detection for Diffusion-based Video Compression |
16.01. | 17:00 |
Markus Schwinn |
Estimation of Geometrical Set-Ups for Computed Laminography 3D-Reconstruction |
23.01. | 16:15 |
Özgün Çiçek |
Efficient Computation and Representation of the Diffusion Echo |
06.02. | 16:15 |
Sebastian Wainer |
A Piecewise Constant Mumford-Shah Functional Based Segmentation on Vector Fields |
20.02. | 16:15 |
Marcelo Cardenas |
A Linear Scale-Space Theory for Continuous Nonlocal Evolutions |
23.03. | 16:15 |
Laurent Hoeltgen |
Optimal Interpolation Data for Image Reconstructions |
30.03. | 14:15 |
Thomas Pock |
On Learning Reaction Diffusion Models |