Call for papers
CAIP 2025 is the 21st in the CAIP series of biennial international conferences devoted to all aspects of computer vision, image analysis and processing, pattern recognition, and related fields. CAIP 2025 invites researchers, practitioners, and industry professionals to submit original contributions addressing the latest advancements, challenges, and future directions in the fields of image processing, pattern recognition, and related areas.
Previous editions were held in Limassol, Salerno, Ystad, Valletta, York, Seville, Münster, Vienna, Paris, etc. The scientific program of the conference will consist of plenary lectures and contributed papers presented in a single track.
Furthermore, CAIP 2025 will feature workshops, contests, and tutorials preceding the main conference event. CAIP 2025 will also host a paper competition sponsored by Springer Verlag.
Fields of interest
The conference invites novel contributions to the automatic analysis of images and patterns, encompassing both new challenging application areas and substantial new theoretical developments in the field.
3D Vision
Biomedical image and pattern analysis
Biometrics
Brain – inspired methods
Computer vision (CV) & creative computing
Deep learning
Document analysis
Egocentric vision
Explainable AI for CV
Face and gestures
Feature extraction
Generative AI for visual content
Graph-based methods
High – dimensional topology methods
Human pose estimation
Image and video forensics
Image restoration
Image/video indexing & retrieval
Keypoint detection
Machine learning for image and pattern analysis
Mobile multimedia
Model-based vision
Motion and tracking
Object recognition
Segmentation
Self and Semi-supervised learning for CV
Shape representation and analysis
Vision for robotics / drones / UAVs
The Microsoft CMT service is used for managing the peer-reviewing process for this conference. This service was provided for free by Microsoft and they bore all expenses, including costs for Azure cloud services as well as for software development and support.
