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. The scientific program of the
conference will include keynotes and contributed papers in a single
track. CAIP 2025 will also feature workshops, contests, and tutorials
before the main event.

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
• Biometrics
• Computer vision (CV) & creative computing
• Document analysis
• Explainable AI for CV
• Feature extraction
• Graph-based methods
• Human pose estimation
• Image restoration
• Keypoint detection
• Mobile multimedia
• Motion and tracking
• Segmentation
• Shape representation and analysis
• Biomedical image and pattern analysis
• Brain-inspired methods
• Deep Learning
• Egocentric Vision
• Face and gestures
• Generative AI for visual content
• High-dimensional topology methods
• Image and video forensics
• Image/video indexing & retrieval
• ML for image and pattern analysis
• Model-based vision
• Object recognition
• Self and Semi-supervised learning for CV
• Vision for robotics / drones / UAVs

IMPORTANT DATES
Paper Submission: 10 April 2025
Author notification: 10 June 2025
Camera-ready paper due: 20 June 2025
Conference dates: 22 – 25 September 2025

Submissions to CAIP 2025 should have no substantial overlap with any
other paper already submitted or published, or to be submitted during
the CAIP 2025 review period. All authors should be aware that
the paper is submitted to CAIP 2025. The proceedings of the conference
will be published in the Springer Verlag’s series Lecture Notes in
Computer Science (LNCS), therefore we strongly encourage prospective
authors to respect the submission guidelines.

Visit https://caip2025.com for additional information.