Fabio Poiesi
Fabio Poiesi is the Head of the Technologies of Vision Lab at Fondazione Bruno Kessler in Trento, Italy. He completed his PhD and Postdoctoral research at Queen Mary University of London. He joined FBK in 2016 as a Research Scientist and became a tenured researcher in 2023. His work focuses on developing computer vision and deep learning solutions for both research and real-world industrial applications. Fabio Poiesi has been working on algorithms for multi-object tracking and target behavior understanding since 2010. At FBK, he has started working on 3D scene understanding techniques for point cloud registration and understanding, using geometric techniques and Large Multimodal Models, which he has particularly applied to robotic perception for object manipulation. He has developed world-leading solutions for object 6D pose estimation, winning the popular BOP Challenge multiple times against competitors like NaverLabs, NVIDIA, and META. He is an ELLIS Member.
Spotlight's articles
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December 2, 20245VREAL project: technology innovation for sportsThe project was designed and implemented by the Free University of Bolzano with EMG Italy, Fondazione Bruno Kessler, Small Pixels and Vodafone Italia. 5VREAL combines 5G and Artificial Intelligence to improve technical analysis and the sports experience, from playing fields to television broadcasting.
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December 28, 2023INTO THE W-AI-LDThe FEROX project presents "The Tech + Wild Journey", a docufilm produced by FBK and directed by Andrea Franceschini which tells the story of the development of an advanced technological solution to support pickers of small wild berries in Finland.
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July 2, 2018From books to augmented reality: artificial intelligence for art history teaching 2.0The students of the Maffei High School in Riva del Garda have virtualized sites and objects that are artistically relevant to the town. To do this they used REPLICATE, an app developed by Fondazione Bruno Kessler that allows the creation of 3D models of objects and buildings, thanks to photographs taken with just a smartphone