TU Wien Informatics

20 Years

About

Peter Kán is currently a Senior Scientist at TU Wien. He finished his doctoral studies at the same university. During his PhD studies, he conducted a research on the topic of High-Quality Real-Time Global Illumination in Augmented Reality. Peter is also responsible for management of Mixed Reality laboratory at TU Wien.

Research Interests
  • Photorealistic rendering
  • Augmented reality, Virtual reality
  • Automatic 3D content generation
  • Real-time rendering
  • Deep learning
  • Motion learning in VR/AR
  • Embodied conversational agents

Role

2023

  • Embodied Conversational Agents with Situation Awareness for Training in Virtual Reality / Kan, P., Rumpelnik, M., & Kaufmann, H. (2023). Embodied Conversational Agents with Situation Awareness for Training in Virtual Reality. In ICAT-EGVE 2023 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments. ICAT-EGVE 2023 - International Conference on Artificial Reality and Telexistence and Eurographics Symposium on Virtual Environments, Dublin, Ireland. Eurographics Association. https://doi.org/10.2312/egve.20231310
    Download: PDF (2.02 MB)
    Projects: ACD (2020–2028) / VERTIgO - VR CBRN Training (2022–2024)
  • Temporal Alignment of Human Motion Data: A Geometric Point of View / Tumpach, A. B., & Kán, P. (2023). Temporal Alignment of Human Motion Data: A Geometric Point of View. In F. Nielsen & F. Barbaresco (Eds.), Geometric Science of Information : 6th International Conference, GSI 2023, St. Malo, France, August 30 – September 1, 2023, Proceedings, Part II (pp. 541–550). Springer. https://doi.org/10.1007/978-3-031-38299-4_56
    Project: ACD (2020–2028)

2022

  • Framework for integrated multi-objective optimization of production and industrial building design / Reisinger, J., Wang-Sukalia, X., Kan, P., Kovacic, I., Kaufmann, H., Knoll, M., & Zahlbruckner, M. A. (2022). Framework for integrated multi-objective optimization of production and industrial building design. In L. C. Tagliabue, Hall Daniel M., A. Chassiakos, D. Nikolic, & R. Soman (Eds.), Proceedings of the 2022 European Conference on Computing in Construction. https://doi.org/10.35490/EC3.2022.223
    Project: BIM_Flexi (2020–2022)
  • Evaluation of parametric multi-objective optimization and decision support tool for flexible industrial building design / Zahlbruckner, M. A., Reisinger, J., Wang-Sukalia, X., Kan, P., Knoll, M., Kovacic, I., & Kaufmann, H. (2022). Evaluation of parametric multi-objective optimization and decision support tool for flexible industrial building design. In L. C. Tagliabue, A. Chassiakos, D. M. Hall, D. Nikolic, & R. Soman (Eds.), Proceedings of the 2022 European Conference on Computing in Construction (pp. 115–122). https://doi.org/10.35490/EC3.2022.202
    Project: BIM_Flexi (2020–2022)
  • Precomputed fast rejection ray-triangle intersection / Pichler, T. A., Ferko, A., Ferko, M., Kán, P., & Kaufmann, H. (2022). Precomputed fast rejection ray-triangle intersection. Graphics and Visual Computing, 6, Article 200047. https://doi.org/10.1016/j.gvc.2022.200047
  • AUIT – the Adaptive User Interfaces Toolkit for Designing XR Applications / Evangelista Belo, J. M., Lystbæk, M., Feit, A. M., Pfeuffer, K., Kan, P., Oulasvirta, A., & Grønbæk, K. (2022). AUIT – the Adaptive User Interfaces Toolkit for Designing XR Applications. In M. Agrawala, J. Wobbrock, E. Adar, & V. R. Setlur (Eds.), UIST ’22: Proceedings of the 35th Annual ACM Symposium on User Interface Software and Technology (pp. 1–16). ACM. https://doi.org/10.1145/3526113.3545651

2021

2020

2019

2018

  • Automatic Furniture Arrangement Using Greedy Cost Minimization / Kán, P., & Kaufmann, H. (2018). Automatic Furniture Arrangement Using Greedy Cost Minimization. In IEEE Conference on Virtual Reality and 3D User Interfaces (IEEE VR) (pp. 1–8). IEEE Computer Society. http://hdl.handle.net/20.500.12708/57366

2017

  • Discovering New Monte Carlo Noise Filters with Genetic Programming / Kán, P., Davletaliyev, M., & Kaufmann, H. (2017). Discovering New Monte Carlo Noise Filters with Genetic Programming. In A. Peytavie & C. Bosch (Eds.), EG 2017 - Short Papers (pp. 1–4). Eurographics Association. https://doi.org/10.2312/egsh.20171006
  • Automated Interior Design Using a Genetic Algorithm / Kán, P., & Kaufmann, H. (2017). Automated Interior Design Using a Genetic Algorithm. In Proceedings of the 23rd ACM Symposium on Virtual Reality Software and Technology (pp. 1–10). IEEE Computer Society. http://hdl.handle.net/20.500.12708/57024

2015

2014

2013

2012