Track 1: Computational Optics and Novel Imaging Systems

• Computational Imaging Models and Inverse Problem Solving
• Metasurface Optics and Computational Optical Design
• Optical System Design and Computational Optics
• Non-Line-of-Sight Imaging and Scattering Imaging
• Polarization, Spectral, and Light-Field Imaging
• Single-Photon and Quantum Imaging Technologies
• Computational Microscopy and Macroscopic Imaging Systems
• Hardware-in-the-Loop Optimization for Imaging and Neural Rendering
• Novel Imaging Sensors and Processing Devices

Track 2: Machine Vision and Intelligent Information Processing

• Dedicated Vision Algorithms for Computational Optical Imaging
• Robust Visual Understanding Under Low-Quality and Irregular Imaging Data
• Physically Inspired and Model-Driven Deep Learning in Vision
• Multimodal Visual Fusion
• 3D Scene Reconstruction and Advanced Applications of Neural Radiance Fields (NeRF)
• Visual Foundation Models and Vision Applications of Large Language/Multimodal Models
• Embedded Vision and Edge AI Computing
• Vision-Large Models in Scientific Imaging
• Self-Supervised, Weakly-Supervised and Domain Adaptive Learning

Track 3: System Integration, Applications, and Emerging Frontiers

• End-to-End Intelligent Imaging System Design and Validation
• Industrial Machine Vision for Inspection and Precision Measurement
• Robotic Vision and Autonomous Driving
• Computational Photography and Mobile Imaging
• Biomedical Imaging and AI-Assisted Diagnosis
• Remote Sensing and Astronomical Image Processing
• Security, Privacy, and Standardization of Vision Systems
• Green and Energy-Efficient Visual Computing
• Vision Systems for Global-Scale Challenges