Andreas Kriegler

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andreas.kriegler@tuwien.ac.at

Giefinggasse 4

1210 Vienna, Austria

I am a PhD Student in Computer Vision in the CVL at Technical University of Vienna (TU Wien), supervised by Margrit Gelautz. I am funded by the Austrian Institute of Technology (AIT), where I am further advised by Csaba Beleznai.

My research lies in the intersection of classical Computer Vision, Deep Learning and Computer Graphics. The goal is to develop novel methods for highly generic object pose estimation. We are specifically interested in the geometry of objects and exploit rendering engines to generate large quantities of synthetic data.

Before I joined TU Wien, I received both the BSc. and MSc. in Mechatronics/Robotics from the University of Applied Sciences Technikum Vienna (with distinction).

News

Aug 01, 2024 Review paper on body movement imitation published in ACM Transactions on Human-Robot Interaction (THRI)
Jul 13, 2024 Attended the International Computer Vision Summer School ICVSS 2024 and gave a poster presentation
Apr 01, 2024 Proceedings of our NeurIPS workshop published in PMLR volume 239
Dec 16, 2023 Co-organized the Failure Modes in the Age of Foundation Models workshop at NeurIPS 2023, part of the larger ICBINB initiative
Aug 09, 2023 PrimitivePose paper on 6D object pose estimation via synthetic 3D primitives published in the International Journal of Semantic Computing (IJSC)

Selected Publications

  1. stoeva2024.png
    Review Paper: Body Movement Mirroring and Synchrony in Human-Robot Interaction
    Darja Stoeva, Andreas Kriegler, and Margrit Gelautz
    ACM Transactions on Human-Robot Interaction (THRI), 2024
  2. kriegler2023.png
    PrimitivePose: Generic Model and Representation for 3D Bounding Box Prediction of Unseen Objects
    Andreas Kriegler, Csaba Beleznai, Margrit Gelautz, Markus Murschitz, and Kai Göbel
    International Journal of Semantic Computing (IJSC), 2023
  3. kriegler2022b.png
    Paradigmatic Revolutions in Computer Vision
    Andreas Kriegler
    In Advances in Neural Information Processing Systems 35 (NeurIPS) - ICBINB: Understanding Deep Learning Through Empirical Falsification, 2022
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    PrimitivePose: 3D Bounding Box Prediction of Unseen Objects via Synthetic Geometric Primitives
    Andreas Kriegler, Csaba Beleznai, Markus Murschitz, Kai Göbel, and Margrit Gelautz
    In International Conference on Robotic Computing (IRC), 2022
  5. steininger2021.png
    The Aircraft Context Dataset: Understanding and Optimizing Data Variability in Aerial Domains
    Daniel Steininger, Verena Widhalm, Julia Simon, Andreas Kriegler, and Christoph Sulzbacher
    In International Conference on Computer Vision (ICCV) Workshop - 1st Workshop on Airborne Object Tracking, 2021
  6. kriegler2020a.png
    Vision-based Docking of a Mobile Robot
    Andreas Kriegler, and Wilfried Wöber
    In Joint Austrian Computer Vision and Robotics Workshop (ACVRW), 2020