AIIA/AIDA Winder School on ‘AI and big Data Analytics for Inspection/Surveillance, Disaster Prevention and Management, online free participation, 3-4/12/2024.

October 30th, 2024 Daniela Lopez de Luise

Dear AI scientist/engineer/student/enthusiast,

 

the Artificial Intelligence and Information Analysis (AIIA) Lab of Aristotle University of Thessaloniki, in cooperation with the International AI Doctoral Academy (AIDA) offers the 2024 ‘AIIA/AIDA Winder School on ‘AI and big Data Analytics for Inspection/Surveillance, Disaster Prevention and Management” (3-4/12/2024) covering the following topics:

 

  • Big Data Analytics for Natural Disaster Management (NDM), e.g., of forest fires and floods. In such cases, drone images are complemented with satellite images, meteorological data, maps, and social media posts to form big data chunks that must be co-analyzed for efficient NDM.
  • Drone Imaging for infrastructure inspection and surveillance, e.g., for damage detection in industrial pipelines and electrical installations.

 

This school consists of two courses:

  1. Short course on Big Data Analytics for Natural Disaster Management, December 3rd, 2024.
  2. Short course on Deep Learning and Computer Vision for Industrial Infrastructure Inspection, December 4th, 2024.

 

These courses are organized by the Horizon Europe R&D projects TEMA and SIMAR, respectively.

  • Interested students, scientists and engineers can register in each of these courses free of charge and separately using the above links.

 

School Organizer: Prof. Ioannis Pitas

Chair of the International AI Doctoral Academy (AIDA), Director of the Artificial Intelligence and Information analysis (AIIA) Lab,

Aristotle University of Thessaloniki, Greece

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3rd WORKSHOP ON COMPUTER VISION FOR WINTER SPORTS (CV4WS)

October 29th, 2024 Daniela Lopez de Luise
3nd WORKSHOP ON COMPUTER VISION FOR WINTER SPORTS (CV4WS) 
in conjunction with the
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025 (https://wacv2025.thecvf.com/)
WORKSHOP WEBSITE 

TOPICS
We invite submissions to our WACV 2025 workshop on computer vision in winter and mountain sports, including disciplines like skiing, bobsleigh, climbing, and downhill biking. These sports capture massive viewership and participation globally, yet pose unique challenges for computer vision due to fast motion, harsh environments, and real-time processing demands.
Our workshop aims to advance visual analysis and enhance spectator experiences through cutting-edge research. Topics of interest include athlete pose estimation, performance analysis, injury prevention, augmented reality for fan engagement, and robust methods for challenging weather conditions. We welcome contributions on algorithmic approaches, fusion of visual data with other sensors, and new datasets/benchmarks in these domains.

Research papers are solicited in, but not limited to, the following topic areas:
  • Machine learning solutions for video understanding or activity recognition regarding winter and mountain sports
  • Pose estimation of athletes
  • Evaluation and measurement of athlete performance
  • Performance forecasting
  • Detection/evaluation/prevention of injuries in winter sports with computer vision
  • Crowd and spectators monitoring
  • Augmented/virtual reality for winter sports and fan engagement
  • Applications of computer vision/AI to winter sports (skiing, ice-hockey, ice-skating, biathlon, bobsleigh, luge, curling, etc.)
  • Image/video understanding in winter/harsh weather conditions
  • Camera pose estimation in broadcast videos
  • Video-based trajectory reconstruction and analysis
  • Winter scene reconstruction from images/videos
  • Snow/ice measurements and analysis with computer vision
  • Real-time processing algorithms
  • Fusion of image/video data and other sensor data
  • Datasets, benchmarks and annotations of winter sport data

SUBMISSIONS
There are two submission tracks: FULL PAPERS and EXTENDED ABSTRACTS.

Full paper submissions should propose comprehensive and well-validated solutions, and adhere to the guidelines of standard WACV 2025 submissions (max 8 pages + references). Accepted full papers will be published under the WACV 2025 workshop proceedings and included in IEEE Xplore.

Extended abstracts should be max 4 pages in length (including tables, figures and references) and can describe novel but not extensively validated ideas, ongoing works, or be recaps of recently published papers (either journal or conference). The accepted abstracts will be published under an arXiv compendium.

All submissions should be compiled for double-blind review, adopt the standard WACV 2025 template (Overleaf template, ZIP Archive), and be submitted via the workshop's CMT platform:

We plan to invite a selection of authors, along with a summary paper featuring submissions to the SkiTB challenge, to contribute to a special issue in a prestigious journal. This special issue will encompass broader topics in sports science and technology.
THE SKITB CHALLENGE
The team at the University of Udine has recently unveiled SkiTB, a large dataset for computer vision research in skiing. For the workshop, such a dataset will be exploited to organize a visual tracking challenge through a dedicated research competition platform (e.g. CodaLab).
 Challenge participants will be required to submit a report presenting their solution. A collection of the best reports will be included in a future special issue. 
The best performing teams will be invited to present their solutions to the workshop's attendees. 
  • Opening challenge date: 01 December 2024
  • Deadline for submissions: 31 January 2025
  • Technical report submission: 07 February 2025

Challenge page:
IMPORTANT DATES
Important dates for full paper submissions:
  • 22 November 2024, 2022 23:59 PST: full paper submission due
  • December 18, 2024: notification to authors of full paper submissions
  • January 10, 2025 23:59 PST: full paper camera-ready papers due
Important dates for extended abstract submissions:
  • December 20, 2024 23:59 PST: extended abstract due
  • January 10, 2025: notification to authors of extended abstract submissions
  • January 31, 2025 23:59 PST: extended abstract camera-ready papers due 
Workshop date:
  • February 28 or March 3 or 4, 2025

ORGANIZERS
Dr. Niccolò Bisagno, University of Trento, Italy
Dr. Matteo Dunnhofer, University of Udine, Italy
Dr. Katja Ludwig, University of Augsburg, Germany
Prof. Hideki Koike, Tokyo Institute of Technology, Japan
Prof. Christian Micheloni, University of Udine, Italy

Prof. Nicola Conci, University of Trento, Italy

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Free Webinar by Dr. Tempestt Neal on Qualitative Methods for Biometrics Research

October 29th, 2024 Daniela Lopez de Luise
The IEEE Biometrics Council invites participants to the upcoming (free)
webinar by Prof. Tempestt Neal on “Qualitative Methods for Biometrics
Research”. Detail on the webinar are given below:

Title: Qualitative Methods for Biometrics Research: Exploring User
Behavior and System Design
Speaker: Prof. Tempestt Neal, University of South Florida, USA
When: 14 November 2024, at 1pm ET (7 pm CET)
Where: Online (Zoom)
Registration: (free, but required):
https://us06web.zoom.us/webinar/register/WN_-iyWaOA1Tpmx9r6CQU2t0g

*** Talk Summary ***
Qualitative research is a method of inquiry aimed at gaining a deep
understanding of social phenomena by relying on individuals’ direct
experiences. Unlike quantitative research, which seeks to quantify
variables and analyze numerical data, qualitative research emphasizes
the exploration of complex, subjective experiences, meanings, and social
dynamics. Qualitative exploration can greatly enhance the field of
biometrics by offering deep insights into complex issues like bias in
biometric systems and user acceptability. These methods allow for a more
detailed understanding of how these systems are perceived and
experienced, which is crucial for addressing ethical concerns and
improving overall effectiveness. This webinar aims to provide biometrics
researchers with a foundational understanding of qualitative research
methods and their applicability to the field.

*** About the Speaker ***
Tempestt Neal is an Associate Professor of Computer Science and
Engineering at the University of South Florida. She leads the Cyber
Identity and Behavior Research (CIBeR) Lab, which primarily conducts
quantitative and qualitative research on mobile-based sensing for
biometrics and human behavior understanding in interdisciplinary
applications, as well as cybersecurity awareness among populations
historically underrepresented in Science and Engineering. The lab’s
research also spans natural language processing, mostly including the
study of linguistic cues as a cognitive biometric trait, as well as
implicit opinion mining tasks. She holds a Ph.D. from the University of
Florida (Computer Engineering, 2018), M.S. from Clemson University
(Computer Science, 2014), and a B.S. from South Carolina State
University (Computer Science with a minor in Mathematics, 2012). Dr.
Neal has served as an Associate Editor for the IEEE Biometrics Council
Newsletter and Guest Editor for the MDPI Electronics Special Issue on
Recent Advances in Biometric Security in IoT Based on Machine Learning.
She has also served on the organizing committee for several workshops in
Artificial Intelligence and Biometrics, including the Workshops on
Applied Multimodal Affect Recognition (AMAR 2020, AMAR 2021, AMAR 2022)
and the Workshop on Interdisciplinary Applications of Identity Science
and Biometrics. She was a recipient of the University of Florida Delores
Auzenne Dissertation Award and National Science Foundation CyberCorps
Scholarship for Service Fellowship. She was also recognized as a
2021-2022 McKnight Junior Faculty Fellow, and received an NSF CAREER
Award in 2023.

For more information, visit:
https://ieee-biometrics.org/event/qualitative-methods-for-biometrics-besearch/

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Call for Papers/Abstracts – ICICIP 2025, Muscat, Oman, February 6-11, 2025

October 29th, 2024 Daniela Lopez de Luise
Call for Papers/Abstracts
Conference website: https://conference.cs.cityu.edu.hk/icicip/ 

The 13th International Conference on Intelligent Control and Information Processing (ICICIP2025) will be held in Muscat, Oman, February 6-11, 2025, following the successes of previous events. As the capital of Oman, Muscat is Oman's largest city with a population of over four million people and numerous tourist attractions. ICICIP2025 aims to provide a high-level international forum for scientists, engineers, and educators to present the state of the art of research and applications in related fields. The conference will feature plenary speeches given by world-renowned scholars, regular sessions with broad coverage, special sessions focusing on popular topics, and post-conference workshops/tutorials in the region.

Prospective authors are invited to contribute high-quality papers to ICICIP2025. In addition, proposals for special sessions within the technical scopes of the symposium are solicited. Special sessions, to be organized by internationally recognized experts, aim to bring together researchers in special focused topics. Papers submitted for special sessions are to be peer-reviewed with the same criteria used for the contributed papers. Researchers interested in organizing special sessions are invited to submit formal proposals to ICICIP2025. A special session proposal should include the session title, a brief description of the scope and motivation, names, contact information, and brief biographical information on the organizers.

Authors are invited to submit abstract only or full-length papers (8 pages maximum) by the submission deadline through the online submission system. Potential organizers are also invited to enlist five or more papers with cohesive topics to form special sessions. The submission of a paper implies that the paper is original and has not been submitted under review or is not copyright-protected elsewhere and will be presented by an author if accepted. All submitted papers will be refereed by experts in the field based on the criteria of originality, significance, quality, and clarity. The authors of accepted papers will have an opportunity to revise their papers and take consideration of the referees' comments and suggestions. All accepted papers will be submitted for inclusion into IEEE Xplore subject to meeting IEEE Xplore's scope and quality requirements. Selected high-quality papers will be included in several journal special issues.

The abstract and paper submission system is now open. 

Abstract and Paper Submission link: https://openreview.net/group?id=IEEE.org/ICICIP/2025/Conference&referrer=%5BHomepage%5D(%2F)#tab-your-consoles 


Paper or Abstract Only Submission Deadline (Extended): November 15, 2024


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“Bridging Heavy Tails & AI” – Extremes (Springer)

October 29th, 2024 Daniela Lopez de Luise
We are excited to announce an invited special issue of Extremes, focusing on bridging Artificial Intelligence (AI) and Extreme Value Theory (EVT). This issue aims to unite the strengths of both fields to tackle the growing challenges of extreme events.
Extremes, published by Springer, is the world-leading journal on EVT and its applications across diverse fields.
We welcome submissions on topics such as:
  • Interfaces between regularly-varying tails and machine learning
  • Neural architectures for modeling heavy-tailed phenomena
  • Explainability of machine learning models for extremes
  • Generative models for extreme events
  • Online learning methods for extreme events
The submission deadline is March 30, 2025. Manuscripts should be submitted via Springer (SNAPP):
Further details are in the attached file, which can also be accessed here. We look forward to your contributions and the opportunity to advance the intersection of AI and EVT together!
The Guest Editors,
Miguel de Carvalho & Jordan Richards
 

The University of Edinburgh is a charitable body, registered in Scotland, with registration number SC005336. Is e buidheann carthannais a th’ ann an Oilthigh Dhùn Èideann, clàraichte an Alba, àireamh clàraidh SC005336.

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