- 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
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:
- Opening challenge date: 01 December 2024
- Deadline for submissions: 31 January 2025
- Technical report submission: 07 February 2025
- 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
- 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
- February 28 or March 3 or 4, 2025