
Venue
Guilin, China
Conference Dates
August 03-08, 2026
Full Paper Submission Date
June 1, 2026
Notification of acceptance date
July 1, 2026
Final Paper Submission Date
July 15, 2026
Registration Deadline
July 20, 2026
The Digital & Intelligent Frontier Academic Week (Guilin Session) will be grandly held in Guilin from August 3 to 8, 2026. Bringing together four world-leading frontier international academic conferences, this event covers hot research directions including deep learning, artificial intelligence, quantum computing, and computational imaging. It aims to build a high-level, open, interdisciplinary academic exchange platform for global scientific researchers, facilitating joint exploration of development paths for cutting-edge technological innovation and industrial application.
As a core constituent conference of the Digital & Intelligent Frontier Academic Week, the 1st International Conference on Computational Imaging and Artificial Intelligence (CIAI 2026) will officially kick off on August 7, 2026. Centering on the intersection of computational imaging and artificial intelligence, the conference gathers globally renowned experts, top scholars, researchers and industry professionals in relevant fields to conduct in-depth discussions on pivotal topics such as computational imaging theories, intelligent perception algorithms, and image reconstruction. Dedicated to establishing an efficient platform for academic exchange and achievement sharing, it will comprehensively present the latest research outcomes, technological progress and innovative applications in the discipline. Adopting diversified forms including high-level keynote reports, invited speeches, oral presentations and poster sessions, the conference strives to advance theoretical innovation, technological breakthroughs and profound industry-university-research integration in computational imaging and artificial intelligence, elevating academic research and industrial practice in related disciplines to a new level.

Basic theory and physical modeling of computational imaging
Computational optical imaging system and coding design
Super-resolution, light field and holographic computational imaging
Scattering media, non-line-of-sight and computational ghost imaging
Single-photon, quantum and adaptive optics imaging
Hyperspectral/multispectral/polarization computational imaging
Photoacoustic/OCT and computed tomography imaging
LiDAR and 3D computational imaging
Low-light and extreme environment computational imaging
Metasurface/metalens based computational imaging

AI-based solution for imaging inverse problems
Deep learning and machine learning methods for imaging
Lightweight AI model and compression algorithm for imaging
Few-shot and weakly-supervised learning for imaging applications
Generative AI for imaging simulation, reconstruction and enhancement
AI fusion algorithm for multimodal imaging data
Interpretability and evaluation system of imaging AI models
Privacy protection and federated learning for computational imaging
Edge intelligence and end-side deployment of imaging AI models
Image feature extraction, recognition and segmentation

End-to-end AI-driven imaging systems
AI-assisted imaging reconstruction and restoration
Intelligent super-resolution and enhancement imaging technology
AI-driven optical coding and system optimization
Intelligent multimodal computational imaging technology
Hardware-algorithm co-design for computational imaging
Intelligent optoelectronic sensing and imaging technology
AI-based automatic calibration and control of imaging systems
Hardware acceleration and embedded implementation of imaging AI
Intelligent computational imaging under extreme conditions

Biomedical imaging and clinical aided diagnosis
Industrial vision imaging and defect detection
Imaging for autonomous driving and intelligent transportation
Aerospace remote sensing imaging and image interpretation
Security monitoring and night vision imaging
Microscopic imaging and life science research
Endoscopic intraoperative imaging and surgical navigation
Imaging technology for cultural heritage conservation
Imaging monitoring for agriculture and ecological environment
All accepted full papers will be published in the conference proceedings and will be submitted to EI Compendex / Scopus for indexing.
Please send the full paper (Word+PDF) to Submission System.
Note: All submitted articles should report original research results, experimental or theoretical, not previously published or under consideration for publication elsewhere. Articles submitted to the conference should meet these criteria. We firmly believe that ethical conduct is the most essential virtue of academics. Hence, any act of plagiarism or other misconduct is totally unacceptable and cannot be tolerated.
(Conference Secretary)

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