The ACM AI Lab is co-organizing a BMVC2024 workshop (https://rrow2024.github.io/) end of November in Glasgow Scotland.
Workshop on Robust Recognition in the Open World at BMVC2024

Our work with colleagues from EPFL's CVLab has been accepted for publication at BMVC, about which I am very glad! It is entitled "AttEntropy:…
Paper accepted for publication in the proceedings of BMVC2024

Our paper, titled "Reducing Texture Bias of Deep Neural Networks via Edge Enhancing Diffusion", has been accepted for presentation at the European…
New paper has been accepted for presentation at the European Conference on Artificial Intelligence (ECAI2024) in Santiago de Compostela

Our paper "SparseRadNet: Sparse Perception Neural Network on Subsampled Radar Data" by Jialong Wu, Mirko Meuter, Markus Schoeler and Matthias Rottmann…
Paper accepted for publication in the proceedings of ECCV2024

Sarina Penquitt and Matthias Rottmann (associated DataNinjas) participated at the DataNinja sAIOnARA 2024 conference from June 25th to June 27th, 2024…
Participation at the DataNinja sAIOnARA 2024 Conference

The ACM AI Lab, part of the Interdisciplinary Center for Machine Learning and Data Analytics (IZMD), took part in the University of Wuppertal's summer…
ACM AI Lab at University of Wuppertal's summer fest

Supported by the German Academic Exchange Service (DAAD), Annika Mütze and Matthias Rottmann visited Dimity Miller and Niko Sünderhauf at the Centre…
Exchange with the Centre for Robotics at Queensland University of Technology in Australia

As part of the RELiABEL project, scientists at the University of Wuppertal are researching how to make the interpretation of image data for automated…
Making automated driving safer: RELiABEL project launched

We had the pleasure to be guests of ControlExpert GmbH who hosted a scientific exchange with deep dives into the cutting-edge topics aoround dep…
Scientific Workshop at ControlExpert GmbH

It is always a great pleasure and true satisfaction for a scientist to see that a method you developed is used by others in practice, advancing an…
Uncertainty estimation for semantic segmentation and its application to insurance industry