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

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 templateZIP 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
  • 30 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

Machine Learning Seminar

Statistical Horizons presents Machine Learning, a 3-day seminar taught by Bruce Desmarais on January 8-10. 
This seminar will provide you with a comprehensive understanding of the core concepts and practical applications of machine learning, including cross-validation, model evaluation, variable selection, classification, prediction, and regression. You'll gain proficiency in leveraging machine learning techniques to enhance your research endeavors. 
R will be used for empirical examples and exercises.
This livestream seminar will be held via Zoom, but you can also join asynchronously by viewing the recorded videos of each session.
Check out Dr. Bruce Desmarais' blog post, where he unpacks how to decide when your machine learning pipeline is ready to transition from development to real-world application.  
Please share this information with anyone who may be interested. Email natalie@statisticalhorizons.com with any questions.

Thanks,
Natalie

Image and Vision Computing, Special Issue on “Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision”

========================================
*** Call for Papers –  Image and Vision Computing***

Special issue on Advancing Transparency and Privacy: Explainable AI and Synthetic Data in Biometrics and Computer Vision

*PAPER SUBMISSION DEADLINE: Feb 7, 2025*
========================================


OVERVIEW =

The rapid advancement of deep learning presents significant challenges, particularly in the realm of ethical data collection and usage. As regulations like the General Data Protection Regulation (GDPR) gain prominence, the need for rigorous ethical standards across various fields becomes increasingly apparent. In domains such as biometrics, data has frequently been collected without appropriate consent or ethical consideration. The medical field, in particular, grapples with the dual challenges of safeguarding privacy and the inherent difficulties of data acquisition.

Ensuring continued progress in deep learning requires that data collection and generation practices adhere to strict ethical guidelines. Greater control over data is essential to enhancing transparency and fairness within deep learning methodologies. Attention must also be given to the explainability of systems trained on generated data, as well as the fairness implications of using synthetic datasets. Addressing these challenges is critical to fostering more ethical and responsible advancements in deep learning.


= SPECIAL ISSUE TOPICS =

The Special Issue aims to promote research on the use of Explainable AI and Synthetic Data to enhance transparency and privacy in Biometrics and Computer Vision.  Topics include, but are certainly not limited to:
  • Responsible image synthesis
  • Generative models
  • Assessing and comparing AI explanations
  • Researching causal learning and inference
  • Synthetic medical data with clinical information
  • Innovative synthesis of biometric data
  • Generating natural language for explanations
  • AI transparency and fairness
  • Learning from synthetic data
  • Interpreting biometric models and vulnerabilities
  • Fairness enhancement with synthetic data

= IMPORTANT DATES =

Submission dates:


Submission Open Date: Oct 1, 2024
Final Manuscript Submission Deadline: Feb 7, 2025
Editorial Acceptance Deadline: Apr 7, 2025


= GUEST EDITORS =

Lucia Cascone – University of Salerno, Italy (lcascone@unisa.it)
Zilong Huang – TikTok, Singapore (
zilonghuang2020@gmail.com)
Pedro C. Neto – Unilabs & FEUP (pedro.d.carneiro@inesctec.pt)
Ana F. Sequeira – INESC TEC (ana.f.sequeira@inesctec.pt)

= SUBMISSION AND REVIEW DETAILS =

Manuscript submission information:

The Journal's submission system (Editorial Manager) will be open for submissions to our Special Issue from Oct 1st, 2024. Please refer to the Guide for Authors to prepare your manuscript and select the article type of “VSI: XAISynData” when submitting your manuscript online. Both the Guide for Authors and the submission portal could be found on the Journal Homepage: Guide for authors – Image and Vision Computing – ISSN 0262-8856 (elsevier.com)

Intelligent Environment Conference 2025 – Deadline 1st December

We would like to invite you to submit your papers to the Intelligent Environment Conference taking place from 23.-26. June 2025  in Darmstadt, Germany

 

IE is a multidisciplinary event welcoming contributions from a diversity of various relevant areas, including sensors and actuators, signal processing (incl. audio and images), networking, human-computer interaction, artificial intelligence, software engineering, context-awareness, internet of things, pervasive and ubiquitous computing, applied in domains such as healthcare, education, culture, building environments and smart cities

 

All papers accepted at the main conference will be published by IEEE-indexed proceedings.

 

The conference will include keynote talks by Klara Nahrstedt, Sumio Morioka and Dirk Kutscher, distinguished speakers from industry and academia.

 

 

You may find the full CFP below

 

We hope to see you there,

 

 

 

      ======================CALL FOR PAPERS  ======================

                           21st International Conference on Intelligent Environments (IE 2025)
                                         https://www.ie2025.fraunhofer.de/
        

The International Conference on Intelligent Environments (IE) is in its twenty-first year and is now recognized as a major annual venue in the area. IE, which has been hosted worldwide, offers a truly international forum and welcomes contributions from all over the planet. Intelligent environments refer to physical spaces in which information and communication technologies, artificial intelligence, interface sensing and actuating technologies are woven to create interacting spaces. The ultimate objective of such environments is to enrich users' activities, while allowing users to manage them and be aware of each other’s capabilities.
 
The 21st International Conference on Intelligent Environments (IE2025) will take place in Darmstadt, Germany. Conveniently located just a 30-minute bus ride from Frankfurt International Airport, the city offers excellent accessibility for global attendees. Renowned as a hub of innovation and research, Darmstadt provides an inspiring setting for the conference. For those unable to attend in person, IE2025 will also offer hybrid (online) participation options.
 
**Conference Program:**  IE is a multidisciplinary event welcoming contributions from a diversity of various relevant areas, including sensors and actuators, signal processing (incl. audio and images), networking, human-computer interaction, artificial intelligence, software engineering, context-awareness, internet of things, pervasive and ubiquitous computing, applied in domains such as healthcare, education, culture, building environments and smart cities. The event will include regular full/short papers as well as a Doctoral Colloquium, a Posters Session, and Demos & Videos Session and affiliated workshops. 
 
** Special Sessions: **  Within the conference, special tracks will be proposed by members from our scientific community.
** Workshops: ** The event will also be complemented with a varied workshops program (to be announced soon).
** Tutorials:**  Supplementing the workshops, there will be tutorials delivered by well-known colleagues on current relevant topics.

 
Proposals for workshops, special sessions, or tutorials by:           10 September 2024
Decisions on proposals communicated on:                                     20 September 2024
 
**Publications:**  As in previous editions, we expect all papers accepted at the main conference to be published by IEEE-indexed proceedings (currently in negotiation with IEEE, as in previous editions). All papers accepted in the workshops will be published as a volume of the IOS Press Ambient Intelligence and Smart Environments book Series of IOS Press, which is published Open Access and indexed by Clarivate (Web of Science). Both the articles in the IEEE proceedings and the IOS Press books will be ISI-indexed. As in previous years, selected papers will be invited to be extended and submitted to journals for publication.
 
**Keynote Speakers:** The conference will include keynote lectures by distinguished speakers from industry and academia.
 
**Industrial Forum:** This will be a networking event and an opportunity for the business sector to showcase innovation.
 
**Awards:** As in past editions there will be a range of prizes to reward the quality of the contributions made by scientists in our community
 

IFIP – ICEC 2025 JAPAN – Call for participation

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