Invited SPEAKERs

Stefan Roth received the Diplom degree in Computer Science and Engineering from the University of Mannheim, Germany in 2001. In 2003 he received the ScM degree in Computer Science from Brown University, and in 2007 the PhD degree in Computer Science from the same institution. Since 2007 he is on the faculty of Computer Science at Technische Universität Darmstadt, Germany (Juniorprofessor 2007-2013, Professor since 2013). His research interests include probabilistic and statistical approaches to image modeling, motion estimation and tracking, as well as object recognition and scene understanding. He received several awards, including honorable mentions for the Marr Prize at ICCV 2005 (with M. Black) and ICCV 2013 (with C. Vogel and K. Schindler), the Olympus-Prize 2010 of the German Association for Pattern Recognition (DAGM), and the Heinz Maier-Leibnitz Prize 2012 of the German Research Foundation (DFG). In 2013, he was awarded a starting grant of the European Research Council (ERC). He regularly serves as an area chair for CVPR, ICCV, and ECCV, and is member of the editorial board of the International Journal of Computer Vision (IJCV), the IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), and PeerJ Computer Science.

Tolga Birdal is an Assistant Professor at Imperial College London. He is a UKRI Future Leaders Fellow and an elected AI speaker. He is also leading the great @StanfordAILab and @TUMunich. He works in the areas of visual perception, differential geometry, and algebraic topology, in conjunction with deep neural networks. His research focuses on:

• 3D Computer Vision

• 3D/4D Generative Priors

• Geometric/Topological Deep Learning

• Statistical and Topological Learning Theory

• Quantum Computer Vision 

Yuta Nakashima is an Associate Professor with the Institute for Datability Science, Osaka University. He is also affiliated with ISLab, Graduate School of Information Sciencen and Technology, Osaka University.

His Research interests include:

• Computer Vision

• Pattern Recognition

• Natural Language Processing

• Vision and Language

Benjamin Busam is a Professor and Chair for Photogrammetry and Remote Sensing with the Technical University of Munich. Formerly Head of Research at FRAMOS Imaging Systems, he led the 3D Computer Vision Team at Huawei Research, London from 2018 to 2020 and has been coordinating the Computer Vision activities at the Chair for Computer Aided Medical Procedures from until 2025. Benjamin studied Mathematics at TUM. In his subsequent postgraduate programme, he continued in Mathematics and Physics at ParisTech, France and at the University of Melbourne, Australia, before he graduated with distinction at TU Munich in 2014. In continuation to a mathematical focus on projective geometry and 3D point cloud matching, he now works on 2D/3D computer vision for pose estimation, depth mapping and mobile AR as well as multi-modal sensor fusion. For his work on adaptable high-resolution real-time stereo tracking he received the EMVA Young Professional Award 2015 from the European Machine Vision Association and was awarded Innovation Pioneer of the Year 2019 by Noah's Ark Laboratory, London. He regularly serves in the programme committees for the main computer vision conferences such as CVPR, ICCV, ECCV and was given multiple Outstanding Reviewer Awards at 3DV 2020, 3DV 2021, ECCV 2022, and CVPR 2024.

Antonino Furnari is an Associate Professor at the Department of Mathematics and Computer Science of the University of Catania, where he is a member of the Image Processing Laboratory (IPLAB).

His expertise lies in Computer Vision and Machine Learning. Specifically, his research investigates how intelligent systems can perceive, understand, and anticipate human actions and interactions directly from an embodied, egocentric viewpoint, to enable assistive technologies on wearable devices that provide direct support to users. 

He teaches a Bachelor course on Fundamentals of Data Analysis and a Master Course on Deep Learning. He supervised more than 30 bachelor and master theses and supervised/is currently supervising 8 PhD students.