Rate My Professor Luc Van Gool

Luc Van Gool is a professor in the Faculty of Engineering Science at KU Leuven, affiliated with the Department of Electrical Engineering (ESAT), where he leads the VISICS research group (VIS for Industry, Communication, and Services) within ESAT-PSI, the Processing of Speech and Images lab. He serves as a member of the KU Leuven Brain Institute and co-leads the Language, Speech, and Vision pillar at Leuven.AI. His research specializations encompass computer vision, deep neural networks, multi-task learning, object recognition, tracking, depth estimation, sensor fusion, domain adaptation, weakly-supervised learning, and applications in autonomous driving, including visual scene understanding, motion exploitation for online-adaptive scene understanding, and response to emergency services. He has been promotor or co-promotor for numerous PhD projects, such as Visual Scene Understanding for Model Selection in Autonomous Driving (2022-2026), Response of Autonomous Cars to Emergency Services (2021-2025), Exploring Unsupervised Learning for Computer Vision Tasks with Neural Networks (2018-2023), Multi-Task Learning for Visual Scene Understanding (2018-2022), and Large Scale Video Understanding (2016-2022). Collaborations include major projects with Toyota on autonomous driving and the Macchina AI initiative with colleagues Tinne Tuytelaars, Matthew Blaschko, and Marie-Francine Moens.