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Contributions

Fourier contrast optimization for occluded motion estimation

Fourier contrast optimization for occluded motion estimation

Ido Akov, Roman Pflugfelder and Daniel Cremers

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 107-111

Effect of polarization filters on hand vein sample image quality

Effect of polarization filters on hand vein sample image quality

Christof Kauba and Andreas Uhl

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 112-116

Introducing Monge-GPs: A new class of physics-informed Gaussian Processes (extended abstract)

Introducing Monge-GPs: A new class of physics-informed Gaussian Processes (extended abstract)

Johanna Moser, Christopher Albert and Sascha Ranftl

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 118-121

Joint Bayesian Inference on Lagrangian Physics and Trajectories

Joint Bayesian Inference on Lagrangian Physics and Trajectories

Michael Obermayr and Robert Peharz

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 122-127

Stabilizing PINNs: A regularization scheme for PINN training to avoid unstable fixed points of dynamical systems

Stabilizing PINNs: A regularization scheme for PINN training to avoid unstable fixed points of dynamical systems

Miloš Babić, Franz Rohrhofer and Bernhard Geiger

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 128-136

Derivative-Enhanced Training for Data-efficient Surrogate Modeling

Derivative-Enhanced Training for Data-efficient Surrogate Modeling

Paul Horvath, Marian Staggl and Stefan Posch

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 137-145

Towards a PIRL framework for efficient airflow diffuser design

Towards a PIRL framework for efficient airflow diffuser design

Alfredo Lopez, Florian Sobieczky, Christopher Lackner, Matthias Hochsteger, Bernhard Scheichl, Helmuth Sobieczky and Christoph Feichtinger

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 146-151

Understanding the Role of Domain Knowledge in Bayesian Optimization under Small-Data Constraints

Understanding the Role of Domain Knowledge in Bayesian Optimization under Small-Data Constraints

Bernd Schuscha, Franz Rohrhofer, Bernhard Geiger and Daniel Scheiber

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 152-155

Equayes - Democratizing Probabilistic Model Construction and Exploration with automatic Equation to Bayesian Model transformation

Equayes - Democratizing Probabilistic Model Construction and Exploration with automatic Equation to Bayesian Model transformation

Christian Findenig and Manfred Mücke

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 156-160

ZeroShop: Automated Metric Mesh Generation for Zero-Shot 6D Object Pose Estimation

ZeroShop: Automated Metric Mesh Generation for Zero-Shot 6D Object Pose Estimation

Stefan Lechner, Philipp Ausserlechner and Markus Vincze

2026-04-10 Proceedings of the Austrian Symposium on AI, Robotics, and Vision 2026 • 162-175