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• [5]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984549

  L. Harz, H. Voß, and S. Kopp, “FEIN-Z: Autoregressive Behavior Cloning for Speech-Driven Gesture Generation”, Proceedings of the 25th International Conference on Multimodal Interaction (ICMI '23), E. André, et al., eds., New York, NY, USA: ACM, 2023, pp.763–771.

  PUB | DOI
   
• [4]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980542

  H. Voß and S. Kopp, “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, 2023.

  PUB | DOI | arXiv
   
• [3]
  

  2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980879

  H. Voß and S. Kopp, “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), 2023, pp.8.

  PUB | DOI
   
• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2964824

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

  PUB
   
• [1]
  

  2021 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2957396

  H. Voß, H. Wersing, and S. Kopp, “Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning”, Companion Publication of the 2021 International Conference on Multimodal Interaction, Z. Hammal, ed., New York, NY: Association for Computing Machinery , 2021, pp.317-323.

  PUB | DOI