Multimodal Modelling and Machine Learning (M3L)

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Welcome to the Research Group for Multimodal Modelling and Machine Learning (M3L) at Marburg University.

Our research group focuses on developing cutting-edge machine learning methods for analysing, interpreting and representing multimodal data, integrating information from diverse modes such as images, video, text, and sensor data across multiple scaling levels. We work at the intersection of multimodal data analytics, multimodal information retrieval, computer vision and machine learning to create solutions for real-world challenges.

Our Research Focus
We specialise in multimodal modeling approaches that address complex problems spanning various domains. Our work encompasses the development of novel machine learning algorithms that can effectively handle and integrate different data modalities while considering various levels of scale and abstraction. This includes advancing methods in computer vision, multimodal information retrieval, natural language processing, and human-centered AI applications.
Our research has strong interdisciplinary connections, collaborating with colleagues in digital humanities, education, psychology/psychiatry, neurosciences, medicine, and environmental modeling. We believe in the power of AI to bridge disciplines and create innovative solutions for societal challenges.