This Dedicated DSI Meet Up will be the third one of 2026 on Computer vision, co-organised by members of the DMB group and collaborating colleagues across the University of Twente.
The “Computer Vision” seminar series aims to bring together students and researchers passionate about enabling machines to interpret and understand visual information. Our goal is to highlight cutting-edge research, showcase innovative applications, and foster collaborations among experts from nearby institutions. Each session will feature an invited speaker presenting their work on a specific topic within the broad and fast-evolving field of computer vision.
By joining these seminars, you’ll gain insights into the latest academic and industrial developments, exchange ideas with peers, and explore opportunities for joint research and innovation. Whether you are a PhD candidate, an experienced researcher, or simply curious about computer vision, feel welcome to join these seminars.
The seminars are open to everyone at UT interested in the topic.
Abstract
Title: Hyperbolic deep learning
Abstract: From linear layers and convolutions to self-attention, deep learning is implicitly Euclidean. But should it be? In this talk, I will dive into hyperbolic geometry for deep learning in computer vision. I will discuss what hyperbolic geometry is and discuss its strong potential as a new foundation for deep learning, from learning hierarchical representations to uncertainty and robustness to out-of-distribution detection. I will place an emphasis on vision-language models, where hyperbolic embeddings are key for vision-language alignment. Lastly, I will show our ongoing efforts towards fully hyperbolic networks and how to get started in this field with our hyperbolic learning software library.
Speaker
Registration & contact
Please register via the registration button below. For more information and questions regarding the seminar series on computer vision, please contact Estefanía Talavera Martínez.
