[visionlist] CAIP 2025 Call for Papers – Deadline Extension (April 30)

[Hazım Kemal Ekenel]

Dear colleagues,

*21st International Conference in Computer Analysis of Images and Patterns
will take place in Las Palmas de Gran Canaria, Spain between 22–25
September 2025.*

*IMPORTANT DATES*
Paper Submission: 30 April 2025 (extended!)
Author notification: 30 June 2025
Camera-ready paper due: 10 July 2025

*For more information: https://caip2025.com <https://caip2025.com>*

Please share this CFP with your network!

*WHY SUBMIT TO CAIP 2025?*
Join the 21st in the CAIP series of biennial forum for researchers and
practitioners in computer vision, image analysis, pattern recognition, and
machine learning. CAIP 2025 offers:
*• High-impact publication: Accepted papers will appear in Springer’s LNCS.*
*• Special issue: Selected papers invited to a Pattern Analysis and
Applications special issue.*


*• Keynote insights: Learn from pioneering experts:o Prof. Anil Jain (MSU):
World-renowned leader in biometrics, pattern recognition, and AI; recipient
of the IEEE Computer Society’s 2024 Computer Pioneer Award and the BBVA
Foundation Frontiers of Knowledge Award.o Prof. Nadia Bianchi-Berthouze
(UCL): Trailblazer in affective computing, human-centered AI, and
multimodal interaction; known for bridging AI with psychology and
healthcare.*
• Global visibility: Present your work to an international audience.
• Networking: Workshops, contests, and tutorials to foster collaboration.

FIELDS OF INTEREST
We welcome novel contributions in (but not limited to):
• 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
• ML 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


-----------------------------------------------
Prof. Dr.-Ing. Hazım Kemal Ekenel

SiMiT Lab - http://simitlab.itu.edu.tr/

Istanbul Technical University (ITU)
Department of Computer Engineering

Email: ekenel at itu.edu.tr
Web: http://web.itu.edu.tr/ekenel/
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