5 Publikationen

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  • [5]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2984549
    Harz, L., Voß, H., Kopp, S.: FEIN-Z: Autoregressive Behavior Cloning for Speech-Driven Gesture Generation. In: André, E., Chetouani, M., Vaufreydaz, D., Lucas, G., Schultz, T., Morency, L.-P., and Vinciarelli, A. (eds.) Proceedings of the 25th International Conference on Multimodal Interaction (ICMI '23). p. 763–771. ACM, New York, NY, USA (2023).
    PUB | DOI
     
  • [4]
    2023 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2980542
    Voß, H., Kopp, S.: 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
    Voß, H., Kopp, S.: 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). p. 8. (2023).
    PUB | DOI
     
  • [2]
    2022 | Konferenzbeitrag | Veröffentlicht | PUB-ID: 2964824
    Voß, H.: 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
    Voß, H., Wersing, H., Kopp, S.: Addressing Data Scarcity in Multimodal User State Recognition by Combining Semi-Supervised and Supervised Learning. In: Hammal, Z. (ed.) Companion Publication of the 2021 International Conference on Multimodal Interaction. p. 317-323. Association for Computing Machinery , New York, NY (2021).
    PUB | DOI
     

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