Ömer Sümer

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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
E-Mail
oemer.suemer@uni-tuebingen.de
Office
Sand 14, C220
Office hours
on appointment

Research Interests

  • Computer vision and machine learning
  • Deep learning
  • Educational assessment, attention/engagement analysis in the classroom
  • Gaze estimation, face analysis, human behavior understanding

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Personal

Publications

2021

Multimodal Visual Sensing: Automated Estimation of Engagement

Ömer Sümer. PhD thesis. University of Tuebingen, 2021.

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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.

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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.

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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.

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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.

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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.

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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.

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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.

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Open Thesis Topics

Assigned Thesis Topics

Finished Thesis Topics