Menu

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

Congratulations Dr. Jialong Wu

Congratulations Dr. Jialong Wu

Defense

Yesterday was a big day for our OSVIA Lab at Universität Osnabrück. Jialong Wu successfully defended his PhD thesis "Radar-Centric Perception for Autonomous Driving: Object Detection, Scene Flow, and Radar-Camera Fusion", becoming the first PhD graduate of our lab, just one year after it was founded.

Recent Publications

More Publications

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