DSI Meet Up: Seminar Series on Computer Vision Speeding up computer vision models

This Dedicated DSI Meet Up will be the fourth 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

Speeding up computer vision models by removing redundancy

To enable wider applicability of computer vision models, it is crucial to improve not only their accuracy but also their efficiency. This talk introduces two methods to improve efficiency while preserving accuracy, in both cases by removing redundancy. The first reduces redundancy in the data through token reduction, while the second removes redundancy within the model architecture, enabled by large-scale pretraining.

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.