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CVIP 2025 : 10th International Conference on Computer Vision & Image Processing | |||||||||||||
Link: https://iitrpr.ac.in/cvip2025 | |||||||||||||
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Call For Papers | |||||||||||||
CVIP 2025 warmly invites pioneering research that pushes the boundaries of computer vision, image processing, and their related fields, including AI and deep learning applications specific to these domains. We welcome submissions that present innovative methodologies and practical solutions to emerging challenges.
Whether you are an established expert or an up-and-coming researcher, your contribution is vital to driving forward these exciting areas of study. Research Topics Topics of interest cover all aspects of computer vision and image processing including, but not limited to: AI-Powered Image Analysis / Computer Vision Biometrics, Forensics, Content Protection Compressed Image/ Video Analytics Computational Imaging Datasets and Evaluation Deep Learning for Computer Vision Document and Synthetic Visual Processing Document Image Analysis Explainable AI / Gen AI for Computer Vision Face, Iris, Emotion, Sign Language and Gesture Recognition Human Computer Interaction Image Restoration/Super Resolution Image/ Video Processing for Autonomous Vehicles / Motion / Tracking Image/ Video Retrieval / Forensics Image/ Video Scene Understanding Image/ Video Security and Quality Assessment Medical Image Analysis Pattern Recognition / Activity Detection Quantum Computer Vision Remote Sensing, Hyperspectral Image Processing Segmentation and Shape Representation Vision based Human Gait Analysis Visual Sensor Hardware, Visual Surveillance 3D/X-ray/Thermal Image/Video Processing Publication and Indexing All previous editions of CVIP have been successfully published in Springer, Communications in Computer and Information Science series (CCIS). Conference Proceedings will be abstracted and indexed in DBLP, Google Scholar, EI-Compendex, Mathematical Reviews, ISI Proceedings, SCImago, and Scopus. CVIP 2025 Proceedings will also be published in scopus indexed Springer CCIS series. |
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