1 code implementation • LREC (MWE) 2022 • Felix Schneider, Sven Sickert, Phillip Brandes, Sophie Marshall, Joachim Denzler
We train this method in a zero-shot pseudo-supervised manner by generating artificial metaphor examples and show that our approach can be used to generate a metaphor dataset with low annotation cost.
no code implementations • 9 Nov 2023 • Tim Büchner, Sven Sickert, Gerd Fabian Volk, Christoph Anders, Orlando Guntinas-Lichius, Joachim Denzler
As a result, existing facial analysis methods can be used without further changes with respect to the data.
1 code implementation • 14 Oct 2019 • Martin Thümmel, Sven Sickert, Joachim Denzler
As a countermeasure, we propose a method that automatically analyzes the plausibility of facial behavior based on a sequence of 3D face scans.
no code implementations • 14 Jun 2016 • Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler
Neural networks and especially convolutional neural networks are of great interest in current computer vision research.
no code implementations • 23 Feb 2015 • Clemens-Alexander Brust, Sven Sickert, Marcel Simon, Erik Rodner, Joachim Denzler
Classifying single image patches is important in many different applications, such as road detection or scene understanding.