Call for Papers: Uncertainty Quantification for Computer Vision Workshop & Challenge at CVPR 2025
The 4th edition of the Uncertainty Quantification for Computer Vision Workshop & Challenge at CVPR 2025 is now accepting submissions. Explore recent advancements in uncertainty quantification methodologies and their applications in computer vision.
The 4th edition of the ‘Uncertainty Quantification for Computer Vision’ Workshop & Challenge at CVPR 2025 is now accepting submissions. The event aims to explore recent advancements in uncertainty quantification methodologies and their applications in computer vision.
Submissions are invited in two categories:
- Regular Papers: Novel contributions not previously published.
- Extended Abstracts: Preliminary works or short versions of papers already accepted or under review in major conferences or journals.
Key topics include:
- Applications of uncertainty quantification in computer vision
- Reliability of multi-modal models
- Uncertainty quantification in open-vocabulary approaches
- Failure prediction and robustness in computer vision
- Safety-critical applications
- Domain-shift in computer vision
- Deep probabilistic models
- Methods for uncertainty quantification
- Output ambiguity, label noise, and diversity
- Uncertainty quantification in GenAI approaches
The workshop will also host the BRAVO Challenge 2025, focusing on the reliability of semantic segmentation models under realistic perturbations and unknown out-of-distribution scenarios.
Important Dates:
- Submission deadline: Mar 14th, 2025
- Notification of acceptance: April 1st, 2025
- Camera-ready deadline: April 7th, 2025
For more information and to submit your paper, visit the official website or the submission site.
Tags: uncertainty quantification, computer vision, CVPR 2025, workshop, challenge, BRAVO Challenge, semantic segmentation