03.07.2026 - Distinguished Lecture Series: Radu Timofte (University of Wurzburg)
We are pleased to announce our upcoming Distinguished Lecture Series talk by Radu Timofte (University of Wurzburg)! The talk will take place on Friday, July 3, 9:45 - 11:15 CET. in room UN32.101. Prof. Timofte will be available for meetings. If you are interested in scheduling a meeting please email ellis-office@uni-stuttgart.de
Radu Timofte is Full Professor for AI and Computer Vision and director of the ELLIS Unit Franconia at the University of Wurzburg. Previously, he worked at ETH Zurich as a postdoc (2013-2016) and a lecturer and research group leader (2016-2022). He earned his PhD degree from KU leuven in 2013. He serves(d) as an associate editor for top journals: CVIU, IEEE Trans. PAMI, Elsevier Neurocomputing and SIAM Journal on Imaging Sciences. He regularly serves(d) as an (Senior) Area Chair/SPC for top vision and machine learning venues: ICCV, ECCV, CVPR, IJCAI, NeurIPS, AAAI, ICLR, ICML.
Radu Timofte is part of the organizing teams of ICIP’26 (Tampere) and ECCV’28 (Bucharest). He and his team received multiple awards, including a 2022 Alexander von Humboldt Professorship Award and a 2021 Romanian Academy Award. He is co-founder of Merantix, co-organizer of NTIRE, CLIC, AIM, MAI, and AIS events, member of IEEE, CVF, and an ELLIS Fellow. His current research interests include augmented perception, mobile AI, multimodal learning, and image/video restoration and manipulation.
As of June 2026, he has published over 250 papers, receiving over 85,500 citations with an h-index of 116.
Title: Trends in AI-powered Photography and Imaging
Trends in AI-powered Photography and Imaging
Computational photography and low-level computer vision are research areas with significant impact on both academia and industry. This talk reviews trends in computational photography and imaging. We will cover neural image signal processors (ISPs), advances in image restoration and enhancement, and image domain mapping problems. Our focus will be on challenges, findings, quality of the results, complexity and readiness of the solutions for real-world applications.
Date: Friday, July 3, 2026
Time: 9:45 - 11:15 CET
Place: Universitätstraße 32.101, Campus Vaihingen of the University of Stuttgart.
Looking forward to seeing you all there! No registration necessary.