SKITB VISUAL TRACKING CHALLENGE at 3rd WORKSHOP ON COMPUTER VISION FOR WINTER SPORTS

SKITB VISUAL TRACKING CHALLENGE
at the 3rd Workshop on Computer Vision for Winter Sports (CV4WS)
https://sites.google.com/unitn.it/cv4ws-wacv2025
in conjunction with
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) 2025
(https://wacv2025.thecvf.com/)
CHALLENGE WEBSITE 

OVERVIEW
We are excited to announce the SkiTB Visual Tracking Challenge, part of the CV4WS workshop at WACV 2025. This challenge focuses on tracking skiers' performances across multiple camera views in complex, real-world winter sports environments. Participants will design trackers capable of following a skier throughout a performance, starting with the bounding box in the first frame and localizing the skier in all subsequent frames.

The challenge leverages the SkiTB dataset, featuring: 300 multi-camera professional skiing videos; 352,978 annotated frames; Full HD videos in dynamic, snowy outdoor environments. This dataset offers a unique opportunity to test tracking models on complex scenarios typical of winter sports.

IMPORTANT DATES
  • December 1, 2024: challenge open
  • January 31, 2025: submission due
  • February 7, 2025: technical report due
Workshop date:
  • February 28 or March 3 or 4, 2025

PARTICIPATION
Detailed instructions on how to participate are available on the challenge page: 

We encourage researchers and practitioners in computer vision to participate in this exciting challenge. Selected teams will be invited to present their solutions at the workshop, with opportunities for further publication in a special journal issue.


We look forward to your submissions!

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

Computer Vision and Machine Learning (CVML) email list  www page: https://lists.auth.gr/sympa/info/cvml

The 4th Benchmark for Autonomous Robot Navigation (BARN) Challenge — ICRA 2025 Competition

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CFP – Special Issue on “Umanistica Digitale”

December 3rd, 2024 Daniela Lopez de Luise
The journal Umanistica Digitale (UD) announces a special issue titled “Digital Humanities and Artificial Intelligence”, organized in conjunction with the 21st IRCDL Conference (https://ircdl2025.uniud.it).

The special issue will focus on innovative applications within digital libraries and cultural heritage.

The selection of the best papers from the IRCDL conference will be invited to submit an extended version for the special issue.

Submission Details:

– Types of Contributions:

> Articles (5,000-10,000 words)

 > Reviews and Reports (1,000-3,500 words)

– Paper Submission: April 15, 2025

– Expected Publication Date: Late 2025

The full call for papers can be found here: https://umanisticadigitale.unibo.it/announcement/view/662

1st International Workshop on Security and Truth in the Era of AI-Generated Media Manipulation (STAMM-2025) – 39th AINA-2025 Conference

Special Issue Approved!!!

The authors of chosen papers presented at STAMM-2025 have the opportunity to submit an extended version of their contributions to the Special Issue “Disrupting Truth: Information Disorder in the Age of Generative AI” on Computers and Electrical Engineering (Elsevier). The link to the call for papers is here.

 

SynRDinBAS at WACV 2025

***************************** 
Synthetic Realities and Data in Biometric Analysis and Security (SynRDinBAS)
Workshop held at WACV 2025 (IEEE/CVF Winter Conference on Applications of Computer Vision) 
February 28 – March 4, 2024, Tucson, Arizona, US
Paper submission: December 12, 2024, 11:59pm PST
Best workshop papers will be invited for extension and submission to a special issue in Information Fusion (IF: 14.7)
***************************** 
 
*** Call for Papers *** 
Recent advancements in generative models like GANs, VAEs, and diffusion models have transformed data-driven tasks in computer vision and AI by enabling the creation of highly realistic synthetic data. These models address data scarcity challenges, offering versatile and ethical alternatives for training and testing machine learning algorithms. However, their realism also raises concerns, as synthetic data's indistinguishability from real data poses risks of misuse, manipulation, and potential harm when used unethically. 
Synthetic Realities and Data in Biometric Analysis and Security (SynRDinBAS) is a workshop that aims to explore the diverse applications of synthetic realities and data in biometric analysis, while also addressing critical security issues such as data privacy and ethical concerns of data manipulation. 
Topics of interest include, but are not limited to:
  • Novel generative models for synthesis of biometric data,
  • Synthetic realities in immersive media for biometric interaction and analysis,
  • Synthetic realities for behavioral biometric data collection and analysis,
  • Label generation for synthetic data,
  • Information leakage in synthetic data,
  • Data factories for training biometric (detection, landmarking, recognition) models,
  • Synthetic data for data augmentation,
  • Data synthesis for bias mitigation and fairness,
  • Quality assessment for synthetic data,
  • Synthetic data for privacy protection,
  • Novel applications of synthetic data,
  • New synthetic datasets and performance benchmarks,
  • Applications of synthetic data, e.g., deepfakes, virtual try-on, face and gesture editing,
  • Partially or fully synthetically generated attacks on biometric systems for identification and verification,
  • Detection of manipulated and synthetic content,
  • Forensic analysis of synthetic data.
 
*** Submission *** 
 
*** Important Dates *** 
 
Full Paper Submission: December 12, 2024, 11:59pm PST 
Acceptance Notice: January 6, 2025, 11:59pm PST 
 
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