Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. - Hendric Voß; Heiko Wersing; Stefan Kopp (ICMI Companion, 2021)

FEIN-Z: Autoregressive Behavior Cloning for Speech-Driven Gesture Generation. - Leon Harz; Hendric Voß; Stefan Kopp (ICMI, 2023)

AQ-GT: a Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture Synthesis. - Hendric Voß; Stefan Kopp (ICMI, 2023)

Augmented Co-Speech Gesture Generation: Including Form and Meaning Features to Guide Learning-Based Gesture Synthesis. - Hendric Voß; Stefan Kopp (IVA, 2023)

BiGe corpus. - Hendric Voß; Stefan Kopp (Zenodo, 2023)

AQGT-A corpus. - Hendric Voß; Stefan Kopp (Zenodo, 2023)

A Study on Integrating Representational Gestures into Automatically Generated Embodied Explanations. - Amelie Sophie Robrecht; Hendric Voß; Lisa Gottschalk; Stefan Kopp (IVA, 2024)

Integrating Representational Gestures into Automatically Generated Embodied Explanations and its Effects on Understanding and Interaction Quality. - Amelie Sophie Robrecht; Hendric Voß; Lisa Gottschalk; Stefan Kopp (CoRR, 2024)

Towards a GENEA Leaderboard - an Extended, Living Benchmark for Evaluating and Advancing Conversational Motion Synthesis. - Rajmund Nagy; Hendric Voß; Youngwoo Yoon; Taras Kucherenko; Teodor Nikolov; Thanh Hoang-Minh; Rachel McDonnell; Stefan Kopp; Michael Neff; Gustav Eje Henter (CoRR, 2024)

Real-Time Inverse Kinematics for Generating Multi-Constrained Movements of Virtual Human Characters. - Hendric Voß; Stefan Kopp (CoRR, 2025)