Prof. Dr. Yuki Asano
At the Fundamental AI Lab of the University of Technology Nuremberg, we are pioneering core technologies for the next generation of foundation models.
- Our primary focus is on self-supervised learning, which allows models to learn from unstructured data, such as raw videos, without the need for manual labeling, significantly enhancing scalability.
- We also explore vision-language and multimodal learning, enabling AI models to seamlessly integrate visual and textual information.
- Furthermore, by advancing reasoning and planning in large language models (LLMs), we aim to equip AI systems with sophisticated logical thinking and decision-making abilities.
Further information and the latest news can be found on the Fundamental and AI Lab GitHub page.
Prof. Dr. Yuki Asano
Professur für Fundamental AI
Publications
Is ImageNet worth 1 video? Learning strong image encoders from 1 long unlabelled video
VeRA: Vector-based Random Matrix Adaptation
PIN: Positional Insert unlocks object localisation abilities in VLMs
List of publikations of Prof. Dr. Yuki Asano on Google Scholar