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: Elisabeth André; Mohamed Chetouani; Dominique Vaufreydaz; Gale Lucas; Tanja Schultz; Louis-Philippe Morency; Alessandro Vinciarelli (Hrsg.): Proceedings of the 25th International Conference on Multimodal Interaction (ICMI '23). New York, NY, USA: ACM. S. 763–771.

  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. In: Proceedings of the 25th International Conference on Multimodal Interaction (ICMI 2023). ACM Press.

  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. In: ACM International Conference on Intelligent Virtual Agents (IVA '23). S. 8.

  PUB | DOI
   
• [2]
  

  2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2964824

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

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  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: Zakia Hammal (Hrsg.): Companion Publication of the 2021 International Conference on Multimodal Interaction. New York, NY: Association for Computing Machinery . S. 317-323.

  PUB | DOI