Two papers accepted at VISAPP 2026

The OSVIA lab at the University of Osnabrück has two accepted papers at VISAPP 2026. The project pages and arXiv preprints are available.

From Label Error Detection to Correction: A Modular Framework and Benchmark for Object Detection Datasets Sarina Penquitt, Jonathan Klees, Rinor Cakaj, Daniel Kondermann, Matthias Rottmann, Lars Schmarje This work introduces a modular framework that links label error detection with a correction workflow and provides a benchmark to evaluate approaches on object detection datasets. Partners: Quality Match GmbH and University of Osnabrück.

FutrTrack: A Camera LiDAR Fusion Transformer for 3D Multiple Object Tracking Martha Teiko Teye, Ori Maoz, Matthias Rottmann This paper presents a camera LiDAR fusion transformer approach for 3D multi object tracking, combining temporal refinement with multimodal fusion features. Partners: Aptiv, University of Wuppertal, and University of Osnabrück.