Multimodal Machine Learning and Assistive Computing (ml:ac)

Welcome to the Multimodal Machine Learning and Assistive Computing (ml:ac) research group at the University of Münster!

We are a newly established research group led by Prof. Alina Roitberg. Our research spans both methodological and application-driven work in deep learning, computer vision, and multimodal machine learning. On the methodological side, we develop new learning principles and algorithms for resource- and data-efficient deep learning, with a special focus on parameter-efficient adaptation of foundation models, cross-modal and multimodal learning and fusion, uncertainty estimation, out-of-distribution generalization, and learning in open-world settings. On the application side, we address challenging real-world problems in assistive systems, autonomous driving, robotics, industrial applications, and increasingly medical domains.

 

More information about our research, team, and projects will follow soon.