Paul Streli

PhD student, Department of Computer Science, ETH ZĆ¼rich

I am a PhD student at the Sensing,Ā InteractionĀ &Ā PerceptionĀ Lab at ETHĀ ZĆ¼rich with ChristianĀ Holz. My ambition is to foster productivity in VR over prolonged periods of time. For this, I develop novel interaction techniques and learning-based perception algorithms by combining my experiences in machine learning with my background in electrical engineering.

Before starting my PhD, I completed a masterā€™s degree in Electrical & Electronic Engineering at ImperialĀ CollegeĀ London and worked as an AIĀ research intern at TikTok. Please reach out via email if you want to know more about my work.

CV / Google Scholar / Github / LinkedIn / Twitter

publications

  1. TapType: Ten-finger text entry on everyday surfaces via Bayesian inference
    Paul Streli, Jiaxi Jiang, Andreas Fender, Manuel Meier, Hugo Romat, and Christian Holz
    In Proceedings of the 2022 CHI Conference on Human Factors in Computing Systems. 2022.
  1. TouchPose: Hand Pose Prediction, Depth Estimation, and Touch Classification from Capacitive Images
    Karan Ahuja, Paul Streli, and Christian Holz
    In Proceedings of the 34th Annual ACM Symposium on User Interface Software and Technology. 2021.
  1. CapContact: Super-Resolution Contact Areas from Capacitive Touchscreens
    Paul Streli, and Christian Holz
    In Proceedings of the 2021 CHI Conference on Human Factors in Computing Systems. 2021. (best paper award).
  1. TapID: Rapid Touch Interaction in Virtual Reality using Wearable Sensing
    Manuel Meier, Paul Streli, Andreas Fender, and Christian Holz
    In 2021 IEEE Virtual Reality and 3D User Interfaces (VR). 2021. (Accompanying demo received best demonstration award (juried)).