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Research Group Almut Sophia Koepke


Link to website at TUM

Almut Sophia Koepke

Dr.

JRG Leader Multi-Modal Learning

Computer Vision & Artificial Intelligence

Almut Sophia Koepke

leads the MCML Junior Research Group ‘Multi-Modal Learning’ at TU Munich.

She and her team conduct research into multi-modal learning from vision, sound, and text. They focus on advancing video understanding, with an emphasis on capturing temporal dynamics and cross-modal relationships. To achieve this, they aim to improve the combination of information from various modalities within learning frameworks. Furthermore, they are exploring how to adapt large pre-trained models for audio-visual understanding tasks. Funded as a BMBF project, the group explores research areas that go beyond our current focus while maintaining a close collaboration with MCML.

Team members @MCML

PhD Students

Link to website

Monica Riedler

Computer Vision & Artificial Intelligence

Link to website

Daniil Zverev

Computer Vision & Artificial Intelligence

Publications @MCML

2025


[1]
P. Mondorf, S. Zhou, M. Riedler and B. Plank.
Enabling Systematic Generalization in Abstract Spatial Reasoning through Meta-Learning for Compositionality.
Preprint (Apr. 2025). arXiv
Abstract

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MCML Authors
Link to website

Philipp Mondorf

AI and Computational Linguistics

Link to website

Shijia Zhou

AI and Computational Linguistics

Link to website

Monica Riedler

Computer Vision & Artificial Intelligence

Link to Profile Barbara Plank

Barbara Plank

Prof. Dr.

AI and Computational Linguistics