David Bethge

Publication Activity (10 Years)

Years Active: 2019-2024
Publications (10 Years): 18

Top Topics

Object Geometry

Learning Process

Emotion Recognition

Top Venues

NordiCHI (Adjunct)

Publications

David Bethge, Daniel Bulanda, Adam Kozlowski, Thomas Kosch, Albrecht Schmidt, Tobias Grosse-Puppendahl
HappyRouting: Learning Emotion-Aware Route Trajectories for Scalable In-The-Wild Navigation. CoRR (2024)
Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. EUSIPCO (2023)
David Bethge, Constantin Patsch, Philipp Hallgarten, Thomas Kosch
Interpretable Time-Dependent Convolutional Emotion Recognition with Contextual Data Streams. CHI Extended Abstracts (2023)
Philipp Hallgarten, David Bethge, Ozan Özdenizci, Tobias Grosse-Puppendahl, Enkelejda Kasneci
TS-MoCo: Time-Series Momentum Contrast for Self-Supervised Physiological Representation Learning. CoRR (2023)
David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
Exploiting Multiple EEG Data Domains with Adversarial Learning. EMBC (2022)
David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Lewis L. Chuang, Ozan Özdenizci, Albrecht Schmidt
EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. SMC (2022)
Esther Bosch, David Bethge, Marie Klosterkamp, Thomas Kosch
Empathic Technologies Shaping Innovative Interaction: Future Directions of Affective Computing. NordiCHI (Adjunct) (2022)
David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
Domain-Invariant Representation Learning from EEG with Private Encoders. CoRR (2022)
David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Lewis L. Chuang, Ozan Özdenizci, Albrecht Schmidt
EEG2Vec: Learning Affective EEG Representations via Variational Autoencoders. CoRR (2022)
David Bethge, Luis Falconeri Coelho, Thomas Kosch, Satiyabooshan Murugaboopathy, Ulrich von Zadow, Albrecht Schmidt, Tobias Grosse-Puppendahl
Technical Design Space Analysis for Unobtrusive Driver Emotion Assessment Using Multi-Domain Context. Proc. ACM Interact. Mob. Wearable Ubiquitous Technol. 6 (4) (2022)
David Bethge, Philipp Hallgarten, Tobias Grosse-Puppendahl, Mohamed Kari, Ralf Mikut, Albrecht Schmidt, Ozan Özdenizci
Domain-Invariant Representation Learning from EEG with Private Encoders. ICASSP (2022)
David Bethge, Philipp Hallgarten, Ozan Özdenizci, Ralf Mikut, Albrecht Schmidt, Tobias Grosse-Puppendahl
Exploiting Multiple EEG Data Domains with Adversarial Learning. CoRR (2022)
David Bethge, Thomas Kosch, Tobias Grosse-Puppendahl, Lewis L. Chuang, Mohamed Kari, Alexander Jagaciak, Albrecht Schmidt
VEmotion: Using Driving Context for Indirect Emotion Prediction in Real-Time. UIST (2021)
Mohamed Kari, Tobias Grosse-Puppendahl, Luis Falconeri Coelho, Andreas Rene Fender, David Bethge, Reinhard Schütte, Christian Holz
TransforMR: Pose-Aware Object Substitution for Composing Alternate Mixed Realities. ISMAR (2021)
Mohamed Kari, Tobias Grosse-Puppendahl, Alexander Jagaciak, David Bethge, Reinhard Schütte, Christian Holz
SoundsRide: Affordance-Synchronized Music Mixing for In-Car Audio Augmented Reality. UIST (2021)
Jannik Wolf, Marco Wiedner, Mohamed Kari, David Bethge
HMInference: Inferring Multimodal HMI Interactions in Automotive Screens. AutomotiveUI (2021)
David Bethge, Lewis L. Chuang, Tobias Grosse-Puppendahl
Analyzing Transferability of Happiness Detection via Gaze Tracking in Multimedia Applications. ETRA Adjunct (2020)
David Bethge, Jieshi Chen, Oliver Grothe, Jonathan Elmer, Artur Dubrawski
Prognostication of Neurological Recovery by Analyzing Structural Breaks in EEG Data. ICDM Workshops (2019)