1 code implementation • 12 Nov 2022 • Alexander Hustinx, Fabio Hellmann, Ömer Sümer, Behnam Javanmardi, Elisabeth André, Peter Krawitz, Tzung-Chien Hsieh
Because of the overall scarcity of patients with ultra-rare disorders, it is infeasible to directly train a model on them.
no code implementations • 23 Oct 2022 • Ömer Sümer, Fabio Hellmann, Alexander Hustinx, Tzung-Chien Hsieh, Elisabeth André, Peter Krawitz
Furthermore, we created simple baselines of few-shot meta-learning methods to improve our base feature descriptor.
no code implementations • 3 Jul 2022 • Mani Kumar Tellamekala, Ömer Sümer, Björn W. Schuller, Elisabeth André, Timo Giesbrecht, Michel Valstar
We also study how 3D face shapes performed on AU intensity estimation on BP4D and DISFA datasets, and report that 3D face features were on par with 2D appearance features in AUs 4, 6, 10, 12, and 25, but not the entire set of AUs.
no code implementations • 6 May 2021 • Ömer Sümer, Cigdem Beyan, Fabian Ruth, Olaf Kramer, Ulrich Trautwein, Enkelejda Kasneci
One approach that can promote efficient development of presentation competence is the automated analysis of human behavior during a speech based on visual and audio features and machine learning.
no code implementations • 11 Jan 2021 • Ömer Sümer, Patricia Goldberg, Sidney D'Mello, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
To best examine student visual engagement in the classroom, we conducted a study utilizing the audiovisual recordings of classes at a secondary school over one and a half month's time, acquired continuous engagement labeling per student (N=15) in repeated sessions, and explored computer vision methods to classify engagement levels from faces in the classroom.
Facial Expression Recognition Facial Expression Recognition (FER) +1
no code implementations • 14 Jan 2020 • Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
A possible solution would be to request permission to record the audio-visual recordings of all students (including those who do not voluntarily participate in the study) and to anonymise their data.
no code implementations • 12 Jan 2020 • Ömer Sümer, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
This paper addresses the problem of understanding joint attention in third-person social scene videos.
no code implementations • 22 May 2018 • Ömer Sümer, Patricia Goldberg, Kathleen Stürmer, Tina Seidel, Peter Gerjets, Ulrich Trautwein, Enkelejda Kasneci
The ability for a teacher to engage all students in active learning processes in classroom constitutes a crucial prerequisite for enhancing students achievement.
no code implementations • ICCV 2017 • Ömer Sümer, Tobias Dencker, Björn Ommer
Human pose analysis is presently dominated by deep convolutional networks trained with extensive manual annotations of joint locations and beyond.