The International Conference on Image Processing and Pattern Recognition (IC-IPPR 2026)

The International Conference on Image Processing and Pattern Recognition (IC-IPPR 2026) presents advancements in image processing, pattern recognition, and computer vision technologies for diverse real-world applications.

Key Topics

• Adaptive image segmentation algorithms
• AR/MR real-time registration and interaction
• Automated screening and diagnosis of pathological images
• Behavior and emotion recognition
• Biometric anti-spoofing
• Controllable image generation using diffusion models and GANs
• Cross-modal retrieval for image-text and video-text
• Deepfake detection
• Digital watermarking and anti-adversarial attack forgery prevention
• Explainable AI (XAI)
• Frontiers in computational photography
• High-precision industrial defect detection
• Immersive projection and haptic feedback systems
• Image restoration in noisy environments
• Long-term cross-camera object tracking
• Low-light image enhancement
• Lightweight neural networks
• Model robustness enhancement
• Multi-center medical federated learning
• Multi-sensor fusion
• Multi-temporal remote sensing image change detection
• Neural radiance field (NeRF) optimization and real-time rendering
• Object detection and tracking
• Real-time encoding for AR/VR applications
• Real-time monitoring in crowded scenes
• Self-supervised / few-shot learning
• Spatio-temporal action localization
• Super-resolution reconstruction
• Text/sketch-driven 3D content generation
• UAV visual navigation and obstacle avoidance
• Video captioning / description generation
• Privacy-preserving visual computing
• High-precision industrial defect detection

Who should Attend

• Researchers and engineers in pattern recognition and machine learning
• Computer vision technology developers
• Experts in fundamental image processing techniques
• Professionals working on cross-domain applications and system integration
• AR/VR and immersive system designers
• Medical imaging and diagnostic specialists
• UAV and autonomous navigation engineers
• Academics and students in AI and visual computing
• Industrial inspection and quality control experts
• AI security and anti-spoofing researchers