Peter Hönig

I am a research assistant in the Vision for Robotics (V4R) group of Markus Vincze at the Automation and Control Institute at TU Wien.

My research focuses on bridging the gap between synthetic and real domains in object detection and pose estimation for robot vision. My goal is to enhance the reliability of robotic grasping, particularly for challenging materials like metallic and textureless objects, while promoting generalization beyond specific instances and potentially across categories.

selected publications

Shape-biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose Estimation

Peter Hönig , Stefan Thalhammer , Jean-Baptiste Weibel , and 2 more authors

accepted at IEEE/CVF Winter Conference on Applications of Computer Vision, 2025

Bib HTML

@article{honig2025star,
  title = {Shape-biased Texture Agnostic Representations for Improved Textureless and Metallic Object Detection and 6D Pose Estimation},
  author = {H{\"o}nig, Peter and Thalhammer, Stefan and Weibel, Jean-Baptiste and Hirschmanner, Matthias and Vincze, Markus},
  journal = {accepted at IEEE/CVF Winter Conference on Applications of Computer Vision},
  year = {2025},
}

Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation

Peter Hönig , Stefan Thalhammer , and Markus Vincze

best Paper Award at the AIRoV – The First Austrian Symposium on AI, Robotics, and Vision, 2024

Bib HTML

@article{honig2024improving,
  title = {Improving 2D-3D Dense Correspondences with Diffusion Models for 6D Object Pose Estimation},
  author = {H{\"o}nig, Peter and Thalhammer, Stefan and Vincze, Markus},
  journal = {best Paper Award at the AIRoV – The First Austrian Symposium on AI, Robotics, and Vision},
  year = {2024},
}