News

June 3, 2026

We warmly welcome Pradnya Halady, who joins as the first doctoral researcher in the SEEALL group! In her research she will focus on visual in-context learning and test-time adaptation for large vision and vision-language models. Her research will enable models to efficiently adapt to new, domain-specific visual tasks using a small number of contextual examples while balancing performance and the compute used.
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April 1, 2026

Welcome to the website of the Sample-Efficient and Emergent Adaptative Lightweight Learning (SEEALL) group. April 1st, 2026 marks the kick-off of this KiKIT-funded young investigator group led by Simon Reiß that aims to push the frontiers of data-efficicent and adaptable vision systems.
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