Machine learning and end-to-end deep learning for monitoring driver distractions from physiological and visual signals M Gjoreski, MŽ Gams, M Luštrek, P Genc, JU Garbas, T Hassan IEEE access 8, 70590-70603, 2020 | 47 | 2020 |
Deep-learned faces of pain and emotions: Elucidating the differences of facial expressions with the help of explainable AI methods K Weitz, T Hassan, U Schmid, JU Garbas tm-Technisches Messen 86 (7-8), 404-412, 2019 | 45 | 2019 |
Automatic detection of pain from facial expressions: a survey T Hassan, D Seuß, J Wollenberg, K Weitz, M Kunz, S Lautenbacher, ... IEEE transactions on pattern analysis and machine intelligence 43 (6), 1815-1831, 2019 | 44 | 2019 |
Problems of video-based pain detection in patients with dementia: a road map to an interdisciplinary solution M Kunz, D Seuss, T Hassan, JU Garbas, M Siebers, U Schmid, ... BMC geriatrics 17 (1), 1-8, 2017 | 34 | 2017 |
Emotion expression from different angles: A video database for facial expressions of actors shot by a camera array D Seuss, A Dieckmann, T Hassan, JU Garbas, JH Ellgring, M Mortillaro, ... 2019 8th International Conference on Affective Computing and Intelligent …, 2019 | 15 | 2019 |
Requirements for a reference dataset for multimodal human stress detection B Mahesh, T Hassan, E Prassler, JU Garbas 2019 IEEE International Conference on Pervasive Computing and Communications …, 2019 | 15 | 2019 |
Towards explaining deep learning networks to distinguish facial expressions of pain and emotions K Weitz, T Hassan, U Schmid, J Garbas Forum Bildverarbeitung, 197-208, 2018 | 12 | 2018 |
A practical approach to fuse shape and appearance information in a Gaussian facial action estimation framework T Hassan, D Seuss, J Wollenberg, J Garbas, U Schmid Proceedings of the Twenty-second European Conference on Artificial …, 2016 | 12 | 2016 |
Towards self-explaining social robots. Verbal explanation strategies for a needs-based architecture S Stange, H Buschmeier, T Hassan, C Ritter, S Kopp | 11 | 2019 |
The fabric of socially interactive agents: Multimodal interaction architectures S Kopp, T Hassan The Handbook on Socially Interactive Agents: 20 years of Research on …, 2022 | 6 | 2022 |
Automatic Coding of Facial Expressions of Pain: Are We There Yet? S Lautenbacher, T Hassan, D Seuss, FW Loy, JU Garbas, U Schmid, ... Pain Research and Management 2022, 2022 | 5 | 2022 |
Automatic estimation of action unit intensities and inference of emotional appraisals D Seuss, T Hassan, A Dieckmann, M Unfried, KRR Scherer, M Mortillaro, ... IEEE Transactions on Affective Computing, 2021 | 5 | 2021 |
Towards an interaction-centered and dynamically constructed episodic memory for social robots T Hassan, S Kopp Companion of the 2020 ACM/IEEE International Conference on Human-Robot …, 2020 | 4 | 2020 |
A method for minimum range extension with improved accuracy in triangulation laser range finder MV Mohan, SA Devi, CH Teena, A Abraham Proceedings of the 1st International Conference on Wireless Technologies for …, 2011 | 4 | 2011 |
Self-Explaining Social Robots: An Explainable Behavior Generation Architecture for Human-Robot Interaction S Stange, T Hassan, F Schröder, J Konkol, S Kopp Frontiers in Artificial Intelligence, 87, 2022 | 3 | 2022 |
A Kalman filter with state constraints for model-based dynamic facial action unit estimation T Hassan, D Seuß, A Ernst, J Garbas Forum Bildverarbeitung, 2018 | 3 | 2018 |
Recognizing emotions conveyed through facial expressions TC Hassan | 2 | 2017 |
Towards Robust and Interpretable Practical Applications of Automatic Mental State Analysis Using a Dynamic and Hybrid Facial Action Estimation Approach T Hassan Otto-Friedrich-Universität, 2020 | 1 | 2020 |
Analysis of Personality Dependent Differences in Pupillary Response and its Relation to Stress Recovery Ability P Genc, T Hassan 2019 IEEE International Conference on Pervasive Computing and Communications …, 2019 | 1 | 2019 |
Robuster und Hybrider Ansatz zur Schätzung von Gesichtsbewegungen T Hassan Ausgezeichnete Informatikdissertationen 2020, 2021 | | 2021 |