This Dedicated DSI Meet Up will be the first of a series 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: Detailed Video Understanding
Abstract: Thanks to revolutions in supervised learning and the emergence of large, labelled video datasets, tremendous progress has been made in video understanding to automatically understand what is happening. However, current algorithms cannot understand more detail such as identifying how actions happen, which is key to achieving the desired outcome. For instance, existing models could recognize someone performing CPR, but fail to identify it needs to be done faster, firmer and further up the body to have a chance of resuscitation. In this talk, I'll present the need to use limited labelled data to achieve a finer-grained understanding of video content. Particularly, I'll focus on our recent works in video self-supervision, adaptation of vision foundation models for low-resource scenarios and model editing.
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.
