Professor Kühne is a specialist in the field of multimodal learning, where she explores the integration of different types of data - like text, images, and audio - to create powerful and intelligent systems.
A Journey Through Academic Excellence and Research Innovations
Hilde's academic journey began in Koblenz, where she earned a diploma in computer visualistics. She then went on to complete her doctorate at KIT in Karlsruhe, focusing on action recognition - a crucial area in understanding human behavior through technology. Over the years, she has gathered rich experience, including a stint at the Fraunhofer Institute for Communication, Information Processing and Ergonomics (FKIE), and post-doctoral research at the University of Bonn with Prof. Dr. Jürgen Gall's Computer Vision Group. Her passion for multimodal learning deepened during her time at the MIT IBM Lab, where she gained invaluable insights.
Hilde Kühne has also made her mark as a W1 Professor at Goethe University in Frankfurt, specializing in Computational Vision and Artificial Intelligence, and later as a W2 Professor at the University of Bonn. She was awarded the ICCV 2021 Helmholtz Prize (Test-of-Time Award) and received the TC-PAMI Mark Everingham Prize in 2022 for her work on action classification datasets."
Focus on Multimodal Learning and Large-Scale Foundation Models
Since August 1, 2024, she has become a proud member of our Core Faculty at the Tübingen AI Center. Here, she focuses on developing large-scale multimodal foundation models that aim to uncover and understand the complex relationships between various types of data, such as texts, images, and videos.
ERC Starting Grant: Advancing Multimodal Structure Learning
Her recent achievement, the prestigious ERC Starting Grant for the "GraViLa - Graphs without Labels: Multimodal Structure Learning without Human Supervision" project, is a testament to her pioneering work. This grant will support her efforts in extracting meaningful, context-rich information from multimodal documents, paving the way for more efficient and accurate learning models that can thrive with less data.
In her free time, Professor Kühne keeps fit by jogging and doing yoga. She enjoys gardening and is particularly interested in orchids.
Professor Kühne brings Dr. Anne Kukleva (https://annusha.github.io/) to the Tübingen AI Center as a postdoc. Another postdoc position and two PhD positions for her group will be announced soon.
We are delighted to have Professor Kühne on board and look forward to the innovative contributions she will bring to our community!