Event Chairs

Petia Radeva Universitat de Barcelona Spain

Brief 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 http://www.antoninofurnari.it/

Brief Bio
Antonino Furnari is an Assistant 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, such as the Assistive Computer Vision and Robotics (ACVR) workshop series (since 2016), the International Computer Vision Summer School (ICVSS) (since 2017), and the Egocentric Perception Interaction and Computing (EPIC) workshop series (since 2018) a nd the EGO4D workshop series (since 2022). Since 2018, he has been involved in the collection, release, and maintenance 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. He is co-founder 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 information is available at http://www.antoninofurnari.it/. ... More >>

Area: Foundations & Representation Learning Alina Roitberg University of Stuttgart Germany

Brief Bio
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Area: Foundations & Representation Learning Indro Spinelli Sapienza University of Rome Italy

Brief 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 & Detection Chiara Plizzari Politecnico di Milano Italy

Brief Bio
Chiara Plizzari is a Postdoctoral Researcher at the Smart Eyewear Lab, a joint research center between EssilorLuxottica and Politecnico di Milano, in the group of Prof. Matteo Matteucci. Her work focuses on advancing video understanding through the integration of multiple modalities such as language, audio, and 3D data.

Prior to this role, Chiara was a Student Researcher at Google Research in Zurich, where she contributed to projects within Federico Tombari’s team. She earned her Ph.D. from the VANDAL (Visual AND Multimodal Applied Learning) lab at Politecnico di Torino, under the supervision of Prof . Barbara Caputo. During her doctoral studies, she was also selected for the prestigious ELLIS PhD program, and was co-supervised by Prof. Dima Damen at the University of Bristol.

Chiara’s research lies at the intersection of computer vision and multimodal learning, with a particular interest in how visual data can be enriched through complementary signals to enable deeper scene understanding and human-centric AI applications. ... More >>

Area: Recognition & Detection Francesco Ragusa University of Catania Italy

Brief 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 has authored one patent and more than 10 papers in international journals and international conference proceedings. He serves as reviewer for several international conferences in the fi elds of computer vision and multimedia, such as CVPR, ECCV, BMVC, WACV, ACM Multimedia, ICPR, ICIAP, and for international journals, including TPAMI, Pattern Recognition Letters and IeT Computer Vision. 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 as 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 & Computational Imaging Mariella Dimiccoli Institut de Robòtica i Informàtica Industrial (CSIC-UPC) Spain https://www.iri.upc.edu/people/mdimiccoli/

Brief Bio
Mariella Dimiccoli is a tenured research associate at the Institut de Robòtica i Informàtica Industrial (IRII), a joint Research Center of the Spanish Council for Scientific Research (CSIC) and the Technical University of Catalonia (UPC). She holds a MSc degree in Computer Engineering from the Polytechnic University of Bari, Italy, and a PhD in Signal Theory and Communications from the Technical University of Catalonia, Spain. Prior to joining the IRII, she conducted research in several prestigious academic institutions within and outside Europe, including the Ecole Normale Supèrieure de Cachan (France), the Coll ège de France (France), the Computer Vision Center (Spain) and the University of Texas at Austin (US).

Throughout these experiences, her research interests have revolved around image and video understanding, using various methodological frameworks and exploring different application domains. Her current research interests lie in the areas of Machine Learning and Computer Vision with focus on representation learning and unsupervised approaches, both in structural and non-structural scenarios.
Her research output consists of more than sixty peer reviewed international publications, 2 best paper awards (IbPRIA 2017, ICIP 2019 top 10%), and several funded research projects.

She has been the recipient of several highly competitive and prestigious research fellowships, including a Marie Curie cofund fellowship in 2014, a Ramón y Cajal fellowship in 2018, a Humboldt fellowship for experienced researchers in 2022. In 2020 she has been nominated by the CSIC to join AcademiaNet - the expert database for outstanding female academics. ... More >>

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

Brief 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 & Systems Matteo Dunnhofer University of Udine Italy https://matteo-dunnhofer.github.io/

Brief Bio
Matteo Dunnhofer is a postdoctoral researcher in the Machine Learning and Perception Lab of the University of Udine, Italy. From the same institute, he received the BSc and MSc in Computer Science in 2016 and 2018, and the PhD in Industrial and Information Engineering in 2022. In 2018, he has been visiting student at the Australian Centre for Robotic Vision hosted at the Queensland University of Technology. More recently, he spent time as visiting scientist at MIT, York University, and the University of Alcalá.
His research focuses on the use of deep learning to tackle computer vision problems, especially fo r visual object tracking. He is also interested in applying deep learning techniques in the context of medical image analysis and video-based sport analytics. On these topics, he published several papers that appeared in international journals and conferences, and he organized workshops and tutorials. In 2021, he has been awarded for winning the Visual Object Tracking VOT2021 Long-term Challenge held at ICCV 2021. He also serves as reviewer for the most relevant journals and conferences in computer vision, pattern recognition, and robotics. He was recognised as an outstanding reviewer by ECCV 2022. ... More >>

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

Brief 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 >>