- Pattern Recognition Workshop /
- Pattern Recognition Workshop 2025
Workshop Description
The Pattern Recongition Workshop 2025 (PRW25), will be held on the 29th of January 2025 in Graz, Austria, providing a platform to present and discuss current research and projects within the fields of pattern recongition, machine learning, and computer vision. The aim of this PRW25 Workshop would be to bring together researchers and students working on interdisciplinary topics for discussion and establishing potential collaborations.
General topics of interest include but are not limited to:
- Active learning, interactive machine learning, and human-in-the-loop
- Embedded and mobile computer vision / machine learning
- (Bio-)Medical image analysis
- Object/scene detection, recognition, and categorization
- Pattern analysis (visual and non-visual data)
- Robot vision and embedded intelligence
- Sensors and information fusion
- Statistical methods and machine learning
- Video analysis and event recognition
Paper Submission
We solicit full papers (8 pages) of original, unpublished work. Paper lengths include references. All submitted papers will undergo a single-blind peer review process by the program committee.
The papers need to be submitted via
https://cmt3.research.microsoft.com/PRW2025
following the format given in the official template (LaTex , Word or on Overleaf). For camera ready submission, please use the camera-ready flag.
Important Dates
- Paper registration: November 24, 2024
- Paper submission deadline: Dezember 22, 2024
- Review submission: January 22, 2025
- Notification of acceptance: January 23, 2025
- Final papers due: February 16, 2025
- Workshop in Graz: January 29, 2025
Programme
January 29, 2025
Oral Session 1 (14:00)
- Peter Roth (opening, 14:00)
- Yuxi Hu (contributed talk, 14:05)
- Kuangyi Chen (contributed talk, 14:30)
- Andrea Acaro Narvaez (contributed talk, 14:55)
Break
Oral Session 2 (15:30)
- Abhiram Kolli (contributed talk, 15:30)
- Alexander Prutsch (contributed talk, 15:55)
- Peter Roth (closing, 16:20)