Tobias Hallmen

According to our database, Tobias Hallmen authored at least 10 papers between 2022 and 2025.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2025

AI-Based Feedback in Counselling Competence Training of Prospective Teachers.

Tobias Hallmen, Kathrin Gietl, Karoline Hillesheim, Moritz Bauermann, Annemarie Friedrich, Elisabeth André

CoRR, May, 2025

DISCOVER: a Data-driven Interactive System for Comprehensive Observation, Visualization, and ExploRation of human behavior.

Tobias Hallmen, Dominik Schiller, Antonia Vehlen, Steffen Eberhardt, Tobias Baur, Daksitha Withanage Don, Wolfgang Lutz, Elisabeth André

Frontiers Digit. Health, 2025

Semantic Matters: Multimodal Features for Affective Analysis.

Tobias Hallmen, Robin-Nico Kampa, Fabian Deuser, Norbert Oswald, Elisabeth André

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2025

Physiological and Cognitive Responses to Walking in Natural and Built Urban Environments.

Bhargavi Mahesh, Jauwairia Nasir, Stina Klein, Tobias Hallmen, Yekta Said Can, Jonathan Simon, Christoph Beck, Joachim Rathmann, Max Stocker, Lisa-Marie Falkenrodt, Elisabeth André

Proceedings of the 21st IEEE International Conference on Body Sensor Networks, 2025

2024

DISCOVER: A Data-driven Interactive System for Comprehensive Observation, Visualization, and ExploRation of Human Behaviour.

Dominik Schiller, Tobias Hallmen, Daksitha Withanage Don, Elisabeth André, Tobias Baur

CoRR, 2024

Unimodal Multi-Task Fusion for Emotional Mimicry Prediction.

Tobias Hallmen, Fabian Deuser, Norbert Oswald, Elisabeth André

CoRR, 2024

Towards Automated Annotation of Infant-Caregiver Engagement Phases with Multimodal Foundation Models.

Daksitha Senel Withanage Don, Dominik Schiller, Tobias Hallmen, Silvan Mertes, Tobias Baur, Florian Lingenfelser, Mitho Müller, Lea Kaubisch, Corinna Reck, Elisabeth André

Proceedings of the 26th International Conference on Multimodal Interaction, 2024

Unimodal Multi-Task Fusion for Emotional Mimicry Intensity Prediction.

Tobias Hallmen, Fabian Deuser, Norbert Oswald, Elisabeth André

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Phoneme-Based Multi-task Assessment of Affective Vocal Bursts.

Tobias Hallmen, Silvan Mertes, Dominik Schiller, Florian Lingenfelser, Elisabeth André

Proceedings of the Deep Learning Theory and Applications - 4th International Conference, 2023

2022

An Efficient Multitask Learning Architecture for Affective Vocal Burst Analysis.

Tobias Hallmen, Silvan Mertes, Dominik Schiller, Elisabeth André

CoRR, 2022