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Osnabrück Vision AI (OSVIA) Lab

The OSVIA Lab researches methods that teach machines to see – from the basics of classical computer vision to modern deep learning approaches. Our goal is to develop algorithms that process visual data reliably, efficiently, and explainably. We work on problems ranging from the recognition and analysis of complex scenes to 3D reconstruction and robust machine learning. With our research, we bridge the gap between theory and application – for advances in science, industry, and society.

Universität Osnabrück: AG Computer Vision and Robust AI

Bergische Universität Wuppertal: AG Applied and Computational Mathematics

Universität Osnabrück logo Bergische Universität Wuppertal logo

Projects

Ongoing and recent work with our research and industry partners.

Team

A multidisciplinary group committed to understanding and improving AI robustness in real-world scenarios.

Meet the Team
Martha Teye Presents at BMVC 2025

Martha Teye Presents at BMVC 2025

BMVC 2025

In November 2025, Martha Teye attended the British Machine Vision Conference (BMVC) at the Cutler‘s Hall in Sheffield (UK), where she had the opportunity to present her work.

BarmeniaGothaer Mathematics Prize

BarmeniaGothaer Mathematics Prize

We are proud to share that our former member Natalie Grabowsky was awarded the BarmeniaGothaer Mathematics Prize during this semesters graduation ceremony of Faculty 4 at the University of Wuppertal.