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20222026
most citedAddressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning

2 citations · 5 across the 9 of their papers we have counts for

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cs.HC2025

ImaGGen: Zero-Shot Generation of Co-Speech Semantic Gestures Grounded in Language and Image Input

Hendric Voss, Stefan Kopp

Human communication combines speech with expressive nonverbal cues such as hand gestures that serve manifold communicative functions. Yet, current generative gesture generation app…

cs.HC2025

Conveying Meaning through Gestures: An Investigation into Semantic Co-Speech Gesture Generation

Hendric Voss, Lisa Michelle Bohnenkamp, Stefan Kopp

This study explores two frameworks for co-speech gesture generation, AQ-GT and its semantically-augmented variant AQ-GT-a, to evaluate their ability to convey meaning through gestu…

cs.HC20242 cited

Towards a GENEA Leaderboard -- an Extended, Living Benchmark for Evaluating and Advancing Conversational Motion Synthesis

Rajmund Nagy, Hendric Voss, Youngwoo Yoon +7

Current evaluation practices in speech-driven gesture generation lack standardisation and focus on aspects that are easy to measure over aspects that actually matter. This leads to…

cs.HC2024

Integrating Representational Gestures into Automatically Generated Embodied Explanations and its Effects on Understanding and Interaction Quality

Amelie Sophie Robrecht, Hendric Voss, Lisa Gottschalk +1

In human interaction, gestures serve various functions such as marking speech rhythm, highlighting key elements, and supplementing information. These gestures are also observed in…

cs.HC2023

Augmented Co-Speech Gesture Generation: Including Form and Meaning Features to Guide Learning-Based Gesture Synthesis

Hendric Voß, Stefan Kopp

Due to their significance in human communication, the automatic generation of co-speech gestures in artificial embodied agents has received a lot of attention. Although modern deep…

cs.HC2023

AQ-GT: a Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture Synthesis

Hendric Voß, Stefan Kopp

The generation of realistic and contextually relevant co-speech gestures is a challenging yet increasingly important task in the creation of multimodal artificial agents. Prior met…