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Ritsumeikan University, Japan

The advancements in computer vision, machine learning, and other related fields have led to an explosion of new techniques, tools, and applications for image and graphics processing. From deep learning-based image recognition to generative adversarial networks (GANs) for image synthesis, the possibilities are endless. This symposium provides a unique opportunity to exchange knowledge and ideas, as well as to network with leading experts in the field. We are excited to bring together researchers, engineers, and practitioners from around the world to share their latest findings, discuss emerging trends, and explore new directions.

Tél.: [001-518-478-2659];     Email.: aimee@iacsit.net

Track 1. Image Processing and Analysis - Image enhancement, restoration, and filtering - Image segmentation and object detection - Image compression, coding, and transmission - Medical image processing and analysis - Remote sensing and satellite image processing - Hyperspectral and multispectral image analysis Track 2. Computer Vision and Pattern Recognition - Object detection, tracking, and recognition - 3D vision and reconstruction - Motion analysis and action recognition - Scene understanding and semantic segmentation - Face, gesture, and pose recognition - Deep learning for computer vision tasks Track 3. Graphics and Visualization - Rendering techniques (real-time, photorealistic, non-photorealistic) - Geometric modeling and processing - Animation, simulation, and virtual reality - Augmented reality and mixed reality - Scientific and information visualization - GPU-based graphics and parallel computing