Lecce, Italy
Aug 31, Sept 1-2-3 2026
22nd International Conference on Advanced Visual and Signal-Based Systems
TECHNICAL CO-SPONSOR
“Expanding Horizons in Security, Safety, and Societal Monitoring”
| AVSS has traditionally focused on the use of video, audio, and sensor-based systems for surveillance applications in public spaces, infrastructure, and critical domains. In 2026, the conference expands its mission to embrace new surveillance frontiers that are transforming our understanding of safety and monitoring in a connected world. AVSS 2026 welcomes contributions in traditional domains - Video surveillance, signal processing, object tracking, behavioral analysis, privacy/security — and new, fast-growing applications of surveillance technologies in: |
| - Healthcare and assisted living environments |
| - Medical imaging for safety, monitoring, and security |
| - Environmental and ecological surveillance |
| - Smart cities and infrastructure monitoring |
| - Multimodal sensor fusion and AI-driven situational awareness |
| Call for Workshop proposal | (March 30, 2026) |
| Call for challenge | (March 10, 2026) |
| Paper submission Round 1 deadline | (February 28, 2026) |
| Author Notification Round 1 deadline | (March 20, 2026) |
| Paper submission Round 2 deadline | (April 20, 2026) |
| Author Notification Round 2 | (May 11, 2026) |
| Camera ready paper due | (June 1, 2026) |
| Author registration deadline (early) | (June 1, 2026) |
| Workshop date | (August 31, 2026) |
| Conference dates | (September 1 -2, 2026) |
| Image and Video Analytics |
| Model Security, Privacy, Fairness, and Robustness |
| Multimodal sensor fusion and AI-driven situational awareness |
| IoT and Signal Analytics |
| Environmental and ecological surveillance |
| Systems and Applications |
| IoT and Signal Analytics |
| Medical imaging for safety, monitoring, and security |
| Environmental and ecological surveillance |
| Healthcare and assisted living environments |
| Systems and Applications |
| Smart cities and infrastructure monitoring |
| Retail Analytics |
CALLS
Call for Workshops
Workshop Day: August 31, 2026 Location: Convitto Palmieri
Call for Papers
Main Conference Dates: 1-3 September 2026 Venue: Charles V Castle, Lecce, Italy
Call for Challenges
Challenges Day: August 31, 2026 Location: Convitto Palmieri
Call for Tutorials
Tutorials Day: August 31, 2026 Location: Convitto Palmieri
KEYNOTE
Andrea Cavallaro
Andrea Cavallaro is the Director of the Idiap Research Institute and a Full Professor at EPFL. He is a Fellow of the Higher Education Academy, the International Association for Pattern Recognition, and ELLIS. His research focuses on machine learning for multimodal perception, computer vision, machine listening, and information privacy. He received his PhD in Electrical Engineering from EPFL in 2002, was a Research Fellow at British Telecommunications, and in 2010 became Full Professor at Queen Mary University of London, where he founded the Centre for Intelligent Sensing and served as Director of Research (2012–2023). From 2018 to 2023, he was also a Turing Fellow at The Alan Turing Institute. Prof. Cavallaro has received multiple awards, including the Royal Academy of Engineering Teaching Prize and several IEEE Best Paper Awards. He served as IEEE Signal Processing Society Distinguished Lecturer (2020–2021), Chair of the IEEE Image, Video, and Multidimensional Signal Processing Technical Committee, and Senior Area Editor of IEEE Transactions on Image Processing. He is the author of Video Tracking (Wiley, 2011) and co-editor of books on multi-camera networks, multimedia retrieval, and intelligent surveillance. His contributions have significantly advanced multimodal sensing and privacy-aware AI systems.
Stefan Roth
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.
Petia Radeva
Prof. Petia Radeva is a Full professor at the Universitat de Barcelona (UB), PI of the Consolidated Research Group “Computer Vision and Machine Learning” at the University of Barcelona (CVUB) at UB (www.ub.edu/cvub) and Senior researcher in Computer Vision Center (www.cvc.uab.es). She was PI of UB in 6 European, 3 international and more than 30 national projects devoted to applying Computer Vision and Machine learning for real problems like food intake monitoring (e.g. for patients with kidney transplants and for older people). Petia Radeva is a REA-FET-OPEN vice-chair since 2015 on, and international mentor in the Wild Cards EIT program since 2017. She is an Associate editor of Pattern Recognition journal (Q1) and International Journal of Visual Communication and Image Representation (Q2). Petia Radeva has been awarded IAPR Fellow since 2015, ICREA Academia assigned to the 30 best scientists in Catalonia for her scientific merits since 2015, received several international awards (“Aurora Pons Porrata” of CIARP, Prize “Antonio Caparrós” for the best technology transfer of UB, etc). She supervised 18 PhD students and published more than 100 SCI journal publications and 250 international chapters and proceedings, her Google scholar h-index is 44 with more than 7000 cites and WOS h-index: 79
GENERAL CHAIR
Abdenour Hadid
Abdenour Hadid is a Professor and Principal Investigator of the AI Chair at Sorbonne University of Abu Dhabi. He received his Doctor of Science in Technology degree in Electrical and Information Engineering from the University of Oulu, Finland, in 2005. His research spans physics-informed machine learning, computer vision, deep learning, IoT, forecasting, and personalized healthcare. Prof. Hadid has authored over 400 papers in top international journals and conferences, with more than 30,000 citations and an H-index of 61. He is a Senior Member of IEEE and an Associate Editor of Expert Systems. His contributions to computer vision earned him the prestigious Jan Koenderink Prize for fundamental advances in the field. He has played leading roles in several European and international research projects, one of which was selected as a Success Story by the European Commission. His achievements have been recognized by multiple awards, including the highly competitive Academy Research Fellow position from the Academy of Finland (2013–2018) and the 100-Talent Outstanding Visiting Professor Award from Shaanxi Province, China. Prof. Hadid’s work continues to bridge artificial intelligence and real-world applications, with a strong emphasis on ethical, impactful, and human-centric AI.
Cosimo Distante
Cosimo Distante is a Director of Research at the Italian National Research Council (CNR) and Head of the Unit of the Institute of Applied Sciences and Intelligent Systems (ISASI-CNR). He received his MSc in Computer Science from the University of Bari and a PhD in Engineering from the University of Salento, Italy. His research focuses on Artificial Intelligence, Computer Vision, Pattern Recognition, Image Processing, Machine Learning, and Robotics, with a strong emphasis on developing deep learning algorithms for intelligent perception systems. He was a visiting researcher at the University of Massachusetts, Amherst, where he also served as Teaching Assistant for the Master’s course in Artificial Intelligence. In 2001, he joined CNR, and since 2003 he has been a Contract Professor at the University of Salento, teaching Computer Vision and Pattern Recognition. Dr. Distante is the founder of Taggalo, a CNR spin-off, and received the National Innovation Prize from Telecom Italia (PNI-Cube) in 2011 and the ChallengUP Award (Cisco, Intel, and Deutsche Telekom) in 2015. He has served as General Chair of major international conferences including ACIVS 2016, IEEE AVSS (2017, 2021, 2026), and ICIAP 2022, and as Program Chair of IMPROVE. He is an active member of the program committees of CVPR, ECCV, ICCV, WACV, and other leading conferences in AI and vision. Dr. Distante also acts as expert advisor on innovation and research for MIUR, MIMIT, and regional agencies, contributing to the advancement of Italy’s national strategy on artificial intelligence and applied science.
Elisa Ricci
Elisa Ricci is an ELLIS Fellow and an IAPR Fellow. Her research lies at the intersection of computer vision, deep learning, and robotics perception, focusing on novel methods for learning from visual and multimodal data in open-world scenarios. She is particularly interested in domain adaptation, continual and self-supervised learning, with applications to dynamic visual understanding and embodied AI. She has published extensively in top-tier conferences and journals in computer vision and machine learning, regularly serves as Area Chair for major conferences such as CVPR, ICCV, and ECCV, and participates in international collaborative projects across academia and industry. Through her research, Prof. Ricci contributes to advancing intelligent perception systems capable of robust, adaptive, and trustworthy understanding
Venue
AVSS2026, CONFERENCE ON ADVANCED VISUAL AND SIGNAL-BASED SYSTEMS 2026
