PUB - Publikationen an der Universität Bielefeld

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• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984549

  Harz, L., Voß, H., & Kopp, S. (2023). FEIN-Z: Autoregressive Behavior Cloning for Speech-Driven Gesture Generation. In E. André, M. Chetouani, D. Vaufreydaz, G. Lucas, T. Schultz, L. - P. Morency, & A. Vinciarelli (Eds.), Proceedings of the 25th International Conference on Multimodal Interaction (ICMI '23) (p. 763–771). New York, NY, USA: ACM. https://doi.org/10.1145/3577190.3616115

  PUB | DOI
   
• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980542

  Voß, H., & Kopp, S. (2023). AQ-GT: A Temporally Aligned and Quantized GRU-Transformer for Co-Speech Gesture Synthesis. Proceedings of the 25th International Conference on Multimodal Interaction (ICMI 2023) ACM Press. https://doi.org/10.1145/3577190.3614135

  PUB | DOI | arXiv
   
• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980879

  Voß, H., & Kopp, S. (2023). Augmented Co-Speech Gesture Generation: Including Form and Meaning Features to Guide Learning-Based Gesture Synthesis. ACM International Conference on Intelligent Virtual Agents (IVA '23), 8. https://doi.org/10.1145/3570945.3607337

  PUB | DOI
   
• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2964824

  Voß, H. (2022). Adaptive Gesture Generation for Goal-directed Interaction Support. Doctoral Symposium at the 22nd ACM International Conference on Virtual Agents (IVA)

  PUB
   
• [1]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957396

  Voß, H., Wersing, H., & Kopp, S. (2021). Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. In Z. Hammal (Ed.), Companion Publication of the 2021 International Conference on Multimodal Interaction (pp. 317-323). New York, NY: Association for Computing Machinery . https://doi.org/10.1145/3461615.3486575

  PUB | DOI