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
Track 4. Machine Learning and AI for Image and Graphics
- Deep learning for image and graphics applications
- Generative models (GANs, VAEs, diffusion models)
- Reinforcement learning in visual tasks
- Transfer learning and domain adaptation
- Explainable AI for image and graphics
- Neural rendering and neural networks for graphics
Track 5. Multimedia Systems and Applications
- Multimedia content analysis and retrieval
- Multimedia compression and streaming
- Interactive multimedia systems and user interfaces
- Multimedia security, watermarking, and forensics
- Social media analysis and recommendation systems
- Applications in gaming, entertainment, and
education
Track 6. Emerging Technologies and Interdisciplinary Applications
- Quantum image processing and computing
- Neuromorphic computing for image and graphics
- Edge and fog computing for visual data processing
- Ethical and societal implications of image and
graphics technologies
- Applications in autonomous vehicles, robotics, and
drones