Dr. Ömer Sümer
University of Tübingen
Dpt. of Computer Science
Human-Computer Interaction
Sand 14
72076 Tübingen
Germany
- Telephone
- +49 - (0) 70 71 - 29 - 70494
- Telefax
- +49 - (0) 70 71 - 29 - 50 62
- oemer.suemer@uni-tuebingen.de
- Office
- Sand 14, C220
- Office hours
- on appointment
Moved to the University of Augsburg, HCAI (link)
Research Interests
- Computer vision and machine learning
- Deep learning
- Educational assessment, attention/engagement analysis in the classroom
- Gaze estimation, face analysis, human behavior understanding
Network
- PhD Associate at LEAD Graduate School & Research Network
- Research Assistant at the Hector Research Institute of Education Sciences and Psychology
Personal
- link to my personal page
Publications
2021
Multimodal Visual Sensing: Automated Estimation of Engagement
Ömer Sümer. PhD thesis. University of Tuebingen, 2021.
Multimodal Engagement Analysis from Facial Videos in the Classroom
Ömer Sümer, Patricia Goldberg, Sidney D’Mello, Peter Gerjets, Ulrich Trautwein, and Enkelejda Kasneci. arXiv preprint arXiv:2101.04215, 2021.
FakeNewsPerception: An eye movement dataset on the perceived believability of news stories
Ömer Sümer, Efe Bozkir, Thomas Kübler, Sven Grüner, Sonja Utz, and Enkelejda Kasneci. Data in Brief 35, 2021.
2020
Automated Anonymisation of Visual and Audio Data in Classroom Studies
Ömer Sümer, Peter Gerjets, Ulrich Trautwein, and Enkelejda Kasneci. The Workshops of the Thirty-Forth AAAI Conference on Artificial Intelligence, 2020.
Attention Flow: End-to-End Joint Attention Estimation
Ömer Sümer, Peter Gerjets, Ulrich Trautwein, and Enkelejda Kasneci. 2020 IEEE Winter Conference on Applications of Computer Vision (WACV) (): 3316-3325, 2020.
2019
Attentive or Not?: Toward a Machine Learning Approach to Assessing Students’ Visible Engagement in Classroom Instruction
Patricia Goldberg, Ömer Sümer, Kathleen Stürmer, Wolfgang Wagner, Richard Göllner, Peter Gerjets, Enkelejda Kasneci, and Ulrich Trautwein. Educational Psychology Review, 2019.
2018
Teachers’ Perception in the Classroom
Ö. Sümer, P. Goldberg, K. Stürmer, T. Seidel, P. Gerjets, U. Trautwein, and E. Kasneci. The IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, 2018.
2017
Self-Supervised Learning of Pose Embeddings From Spatiotemporal Relations in Videos
Ö. Sümer, T. Dencker, and B. Ommer. The IEEE International Conference on Computer Vision (ICCV), 2017.