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22nd Int.l Summer School for Advanced Studies on
Biometrics in the Generative AI Era
Alghero, Italy – June 2 – 6 2025
(download the application form at: http://biometrics.uniss.it)
For the past 20 years this international Summer School provided and active and dynamic forum to closely follow the most recent developments in science and technology to offer a cutting edge, intensive training course, always up to date with the current state-of-the-art. This year's main topic will be the impact of generative AI on the development and deployment of biometrics in different application domains.
Machine learning, Image understanding, Signal analysis, Neuroscience, Robotics, Forensic science, Digital forensics and other disciplines, converged in a truly multidisciplinary effort to devise and build advanced systems to facilitate the interpretation of signals recorded from individuals acting in a given environment.
This is what we simply call today “Biometrics”.
Over the last decade the advent of Deep Learning and, more recently, Generative AI, strongly impacted both research and application of automatic biometric data analysis and recognition. However, other issues and concerns, not directly related to the computational performance, arise including the fairness, reliability and trustfulness of current biometric systems.
This edition of the school will address these issues trying to answer some compelling questions, such as: How to mitigate bias in biometric systems? How to design privacy-preserving and “ethical” biometric devices? What can we learn from human perception? How to better deploy current AI approaches? How to cope for adversarial attacks in biometric recognition? What is the scalability and real potential for biometric systems? What is the potential impact of biometrics in forensic investigation and crime prevention?
This school follows the successful track of the International Summer Schools on Biometrics held since 2003and it will provide a clear and in-depth picture on the state-of-the-art in biometric verification/identification technology, both under the theoretical and scientific point of view as well as in diverse application domains. The lectures will be given by 18 outstanding experts in the field, from both academia and industry.
Open sessions will be organised with questions and answers moderated by the leading experts in the field.
Participant application
To attend the school classes, physical presence of the participants will be required. In exceptional cases of travel limitations remote participation with videoconference facilities, will be also allowed.
The expected school fees will be in the order of 1,800 € (400 € in videoconference) for students and 2,400 € (800 € in videoconference) for others, including full board accommodation, all courses and handling material.
A limited number of scholarships offered by the school sponsors, partially covering the fees, will be awarded to Ms/Phd students, selected on the basis of their scientific background and on-going research work.
The scholarship request form can be downloaded from the school web site http://biometrics.uniss.it
Poster boards will be also available to all participants to display their current research or professional activities.
Send a filled application form (download from http://biometrics.uniss.it) together with a short resume to:
Prof. Massimo Tistarelli – e-mail: biometricsummerschool@gmail.com
- Submission of March 2nd, 2025
- Notification of acceptance: March 15th, 2025
- Registration: April 15th, 2025
Advance pre-registration is strictly required by March 2nd 2025
School location
The school will be hosted by Hotel Dei Pini (https://www.hoteldeipini.com/ ) in the Capo Caccia bay, near Alghero, Sardinia. This is one of the most beautiful resorts in the Mediterranean Sea. The structure is beautifully immersed into the Capo Caccia bay. The hotel Dei Pini has a recently renovated conference centre, fully equipped for scientific events. The school venue, as well as the surroundings, proved to be a perfect environment for the school activities.
The organisers and all lecturers are fully committed to make this year's school as successful, instructing and inspiring as in the past years.
School Committee:
Massimo Tistarelli
Computer Vision Laboratory – University of Sassari, Italy
Josef Bigun
Department of Computer Science – Halmstad University, Sweden
Enrico Grosso
Computer Vision Laboratory – University of Sassari, Italy
Anil K. Jain
Biometrics laboratory – Michigan State University, USA
Distinguished lecturers from past school editions
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Josef Bigun Halmstad University – Sweden |
David Meuwly Netherlands Forensic Institute – NL |
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Thirimachos Bourlai West Virginia University – USA |
Emilio Mordini MD Responsible Technologies – Italy |
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Vincent Bouatou Safran Morpho – France |
Mark Nixon University of Southampton – UK |
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Kevin Bowyer University of Notre Dame – USA
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Alice O’Toole University of Texas – USA |
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Deepak Chandra Google Inc. – USA
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Maja Pantic Imperial College – UK |
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Rama Chellappa University of Maryland – USA
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Johnathon Phillips NIST – USA |
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John Daugman University of Cambridge – UK |
Tomaso Poggio MIT – USA |
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Farzin Deravi University of Kent – UK |
Nalini Ratha IBM – USA |
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James Haxby Dartmouth University – USA |
Arun Ross Michigan State University – USA |
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Anil K. Jain Michigan State University – USA |
Tieniu Tan CASIA-NLPR – China |
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Joseph Kittler University of Surrey – UK |
Massimo Tistarelli Università di Sassari – Italy |
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Davide Maltoni Università di Bologna – Italy |
Alessandro Verri Università di Genova – Italy |
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John Mason Swansea University – UK |
James Wayman University of San Josè – USA |
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Aldo Mattei Arma dei Carabinieri – Italy |
Lior Wolf Tel Aviv University – Israel |
Workshop on Human-Centred Machine Learning: Bridging Design, Development, and Social Impact (March 6-7, 2025, Lugano – Switzerland)
February 12th, 2025 
Daniela Lopez de Luise Special Session on AI in Surgery
February 12th, 2025 Daniela Lopez de Luise - Curating high-fidelity, open-access surgical datasets for AI training and validation.
- Innovative methods for self-supervised and semi-supervised learning in surgical AI applications.
- Development and application of foundation models for surgery.
- Data augmentation techniques tailored for surgical scenarios.
- AI-powered decision support systems for preoperative planning and risk assessment.
- Real-time AI for intraoperative surgical guidance and navigation.
- AI in postoperative monitoring and outcome prediction.
- Surgical Patient Digital Twins for personalized simulation and planning.
- AI for robotic-assisted surgery, including teleoperated and autonomous systems.
- Multimodal data fusion for enhanced surgical decision-making.
- Advancements in AI-driven surgical simulation and training.
- Sustainable AI solutions for surgical video processing and annotation.
- AI for surgical skill assessment using video analytics.
- Real-time segmentation and object detection in surgical images.
- Human-AI collaboration in surgery to enhance collective intelligence.
- Strategies for engaging clinicians in co-creating AI applications.
- Challenges and solutions for integrating AI into clinical workflows.
- Secure and robust AI systems for surgical care.
- Addressing ethical considerations and building trust in AI for surgery.
- Ensuring regulatory compliance for AI-based surgical tools.
- Benchmarking AI performance in surgical environments.
- Clinical trials and real-world validation of AI tools.
- Metrics and methodologies for evaluating AI in surgery.
Second MetaFood Workshop at CVPR 2025
February 12th, 2025 Daniela Lopez de Luise The MetaFood Workshop is a premier venue for research that addresses the pressing challenges of applying state-of-the-art computer vision algorithms to food-related data. While modern computer vision models excel on well-curated datasets, they struggle when confronted with food data in natural, uncontrolled environments—often called “data in the wild”. This difficulty arises from the inherent complexities of food imagery, such as noisy, watermarked, and low-resolution data commonly found online.
The MetaFood Workshop aims to bridge this gap by showcasing groundbreaking research and fostering discussions on innovative methods for analyzing and digitizing food data. We invite the computer vision community to tackle these challenges and contribute solutions that can drive forward the fields of food computing and AI-driven food analysis.
Our program will feature technical paper presentations and invited talks from leading experts.
- Multi-modal food data analysis covering images, video, audio, structured and/or unstructured text data
- Reasoning, in-context learning, and retrieval-augmented generation with Large-Language Models (LLMs)/ Vision-Language Models (VLMs) for food
- Food ontologies and LLM-based models for food data analysis
- Visual question answering with VLMs for food
- Food data analysis and uncertainty modeling
- Learning with noisy food labels
- Continual, self-supervised, semi-supervised, and unsupervised learning for food
- Food classification/detection/segmentation with 2D/3D bias
- Food 3D model reconstruction, Novel View Synthesis for food objects
- Food portion/nutrition value estimation
- Food manipulation understanding, robotic perception systems for food manipulation
- Food image quality analysis/inspection
- Food image/video generation and Generative AI
- Food video analysis and action (eating, cooking, etc.) recognition
- Fine-grained dietary monitoring and nutrition assessment
Join us at the MetaFood Workshop to explore how computer vision can revolutionize food understanding and contribute to solving real-world challenges in food computing.
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Important Dates:
- Paper submission deadline: 4th March 2025 (11:59 pm AOE)
- Supplementary material deadline: 6th March 2025 (11:59 pm AOE)
- Notification to authors: 1st April 2025
- Camera-ready deadline: 7th April 2025 (11:59 pm AOE)
Website: https://sites.google.com/view/cvpr-metafood-2025/
We look forward to your contributions.
Regards,
Second MetaFood Workshop – Organizing Team
Call for Challenge Participants: International Workshop on Interactive Video Search and Exploration @ CVPR 2025
February 12th, 2025 Daniela Lopez de Luise We invite researchers and practitioners in computer vision, information retrieval, and human-computer interaction to participate in the 1st International Workshop on Interactive Video Search and Exploration (IViSE 2025), held in conjunction with CVPR 2025.
📅 Date: June 11 – June 15
📍 Location: CVPR 2025 @ Nashville TN
🌐 Website: https://sites.google.com/view/ivise2025
Workshop Overview
The field of video understanding and retrieval has made significant strides in recent years, but current AI-driven methods struggle with long-form video content. IViSE 2025 aims to address this challenge by exploring human-machine teaming approaches for video search and question answering (QA).
This workshop will serve as a venue to compare “fully automated” approaches with “interactive, human-in-the-loop” systems for video retrieval. The focus will be on real-world scenarios involving large-scale video archives, bridging gaps between machine learning, computer vision, and user-centered interactive search strategies.
IViSE 2025 Challenge: Text-Based Video Retrieval and Question Answering
The IViSE 2025 challenge will use the Vimeo Creative Commons Collection (V3C) dataset—comprising 7,475 videos with a total duration of 1,000 hours—to evaluate state-of-the-art methods in:
1️⃣ Fully-Automated Track
Queries are provided in advance.
Participants develop end-to-end AI-based video retrieval and QA systems.
Solutions are evaluated on accuracy and retrieval effectiveness.
2️⃣ Interactive Track
Queries are presented during the workshop.
Teams must solve tasks in real-time within five minutes, leveraging human-machine collaboration.
Inspired by the Video Browser Showdown and Lifelog Search Challenge:
🔹 Known-Item Search (KIS): Given a textual description, retrieve the correct video segment and time interval.
🔹 Question Answering (QA): Answer a question based on a textual description of a video.
Both tracks will use standardized evaluation metrics and build upon existing benchmarks such as TRECVID & DVU for automated search, and Video Browser Showdown for interactive retrieval.
Why Participate?
Advance the field of long-form video retrieval and exploration.
Benchmark your methods against cutting-edge AI and interactive systems.
Engage with leading researchers in computer vision, video retrieval, and interactive search.
Compete in a structured challenge format with an emphasis on both fully automated & interactive approaches and also in a high-impact challenge at CVPR 2025.
Important Dates
📅 Feb 3, 2025 – Fully-Automated Track queries released
📅 Mar 24, 2025 – Submission deadline for Fully-Automated Track results & workshop papers
📅 Apr 3, 2025 – Reviews and challenge scores released
📅 Apr 7, 2025 – Camera-ready deadline
We look forward to your participation in IViSE 2025 as we explore the next frontier in interactive video search and long-form video understanding