Event Chairs

Petia Radeva University of Barcelona Spain

Short Bio
Prof. Petia Radeva is a Full professor at the Universitat de Barcelona (UB), Head of the Consolidated Research Group “Artificial Intelligence and Biomedical Applications (AIBA)” at the University of Barcelona. Her main interests are in Machine/Deep learning and Computer Vision and their applications to health. Specific topics of interest: data-centric deep learning, uncertainty modeling, self-supervised learning, continual learning, learning with noisy labeling, multi-modal learning, NeRF, food recognition, food ontology, etc. She is a Main editor in Chief of Pattern Recognition journal. She supervised 26 PhD stu dents and published more than 120 SCI journal publications and 270 international chapters and proceedings. Petia Radeva belongs to the top 2% of the World ranking of scientists with the major impact in the field of TIC according to the citations indicators of the popular ranking of Stanford. Moreover, she was awarded IAPR Fellow since 2015, "Narcis Monturiol" medal by the Catalan Government, ICREA Academia’2015 and ICREA Academia’2022 assigned to the 30 best scientists in Catalonia for her scientific merits, received several international and national awards (“Aurora Pons Porrata”, Prize “Antonio Caparrós” ). ... More >>

Antonino Furnari University of Catania Italy https://antoninofurnari.github.io/

Short Bio
Antonino Furnari is an Associate Professor at the University of Catania. He received his PhD in Mathematics and Computer Science in 2017 from the University of Catania and authored one patent and more than 50 papers in international book chapters, journals and conference proceedings. Antonino Furnari is involved in the organization of different international events, including the Egocentric Perception Interaction and Computing (EPIC) workshop series (since 2018), the EGO4D workshop series (since 2022), and the EgoVis workshop series (since 2023). Since 2018, he has been involved in the collection, release, and ma intenance of the EPIC-KITCHENS dataset series, and in particular in the egocentric action anticipation and action detection challenges. Since 2021, he has been involved in the collection and benchmarking of the EGO4D dataset. His research interests concern Computer Vision, Pattern Recognition, and Machine Learning, with focus on First Person Vision. More information is available at https://antoninofurnari.github.io/. ... More >>

Area: Foundations and Representation Learning Indro Spinelli Sapienza University of Rome Italy

Short Bio
Indro Spinelli is an Assistant Professor at Sapienza University of Rome and a member of the ELLIS Society. He holds a PhD in Information and Communication Technologies (2023) and an MSc in Artificial Intelligence and Robotics (2019), both earned from Sapienza University of Rome. During his doctoral studies, he was a Visiting Researcher at the Arctic University of Norway. Dr. Spinelli has co-authored over 20 peer-reviewed papers in international journals and conference proceedings. He is one of the organizers of the Beyond Euclidean Workshop series (hosted at ECCV and ICCV) and is an Associate Chair for VISAPP and Area Chair for ICIAP. He is also an Associate Editor for The Visual Computer journal. His research focuses on trustworthy machine learning, computer vision, and generative models for human-centered and robotic applications. ... More >>

Area: Recognition and Detection Chiara Plizzari Bocconi University Italy

Short Bio
Chiara Plizzari is an Assistant Professor in the Department of Computing Sciences at Bocconi University. Previously, she was a Postdoctoral Researcher at the Smart Eyewear Lab, a joint research center between EssilorLuxottica and Politecnico di Milano. Before that, she worked as a Student Researcher at Google in Zurich. She got her PhD in Computer Vision at Politecnico di Torino, during which she also spent time as a visiting researcher at the University of Bristol and the University of California, Berkeley.

Chiara Plizzari is interested in computer vision, with a focus on the challenge of creating mac hines that can “see” the world as humans do. Her research centers on video understanding and explores how visual perception can be enriched by other modalities—such as language, audio, and 3D information—to achieve deeper and more human-like understanding. ... More >>

Area: Recognition and Detection Francesco Ragusa University of Catania Italy

Short Bio
Francesco Ragusa is a Research Fellow at the University of Catania. He is member of the IPLAB (University of Catania) research group since 2015. He has completed an Industrial Doctorate in Computer Science in 2021. During his PhD studies, he has spent a period as Research Student at the University of Hertfordshire, UK. He received his master’s degree in computer science (cum laude) in 2017 from the University of Catania. Francesco Ragusa is member of IEEE, CVF e CVPL. He has been involved in different research projects and has honed in on the issue of human-object interaction anticipation from egocentric videos a s the key to analyze and understand human behavior in industrial workplaces. He is co-founder and CEO of NEXT VISION s.r.l., an academic spin-off the the University of Catania since 2021. His research interests concern Computer Vision, Pattern Recognition, and Machine Learning, with focus on First Person Vision. ... More >>

Area: Low-Level Vision and Computational Imaging Jun Sato Nagoya Institute of Technology Japan

Short Bio
Jun Sato received Ph.D. degree from the University of Cambridge in 1997, and he is currently a professor at Nagoya Institute of Technology, Japan. He received the Best Scientific Paper Award at the British Machine Vision Conference in 1994 and 1997. He published more than 200 papers in journals and conference proceedings about 3D reconstruction, visualization and imaging. He is an associate editor of the International Journal of Computer Vision (IJCV).

Area: 3D Vision, Motion, Robotics, Application and Systems Matteo Dunnhofer University of Udine Italy https://matteo-dunnhofer.github.io/

Short Bio
Matteo Dunnhofer is a Marie Sklodowska-Curie Postdoctoral Fellow jointly affiliated with the Department of Mathematics, Computer Science, and Physics at the University of Udine (Italy) and the Centre for Vision Research at York University (Toronto, Canada). He received his BSc and MSc in Computer Science in 2016 and 2018, and his PhD in Industrial and Information Engineering in 2022, all from the University of Udine. He has held visiting positions at the Australian Centre for Robotic Vision (Queensland University of Technology), as well as at MIT and the University of Alcalá.
His research focuses on deep le arning for computer vision, with an emphasis on visual object tracking, and extends to applications such as medical image analysis and video-based sports analytics.
He has published in leading international journals and conferences, and has organized workshops and tutorials, including the Workshop on Computer Vision for Winter Sports at WACV. In 2021, he won the VOT2021 Long-term Challenge at ICCV. He regularly reviews for top venues in computer vision, pattern recognition, and robotics, and has been recognized as an Outstanding Reviewer at CVPR 2025 and ECCV 2022. He currently serves as Associate Editor for Pattern Recognition and The Visual Computer. ... More >>

Area: 3D Vision, Motion, Robotics, Application and Systems Estefania Talavera Martinez University of Twente Netherlands

Short Bio
Estefania Talavera is an Assistant Professor at the Data Management and Biometrics group at the University of Twente. Her research interests include computer vision, machine learning, and their intersection for human behavior understanding. Prior to joining the University of Twente, she was a lecturer and researcher in the Information Systems group at the University of Groningen. She received her PhD in Computer Science from the University of Groningen and the University of Barcelona in February 2020. She has also been a co-organiser of the LXCV workshops at CVPR 2022/2023, ICCV 2023, AAAI 2022, and ECCV 2022. Sh e was the co-organizer of WiCV at CVPR 2024/2025. ... More >>