2026 International Conference on Computer Perception and Neural Networks
Due to other scheduling priorities, CPNN 2026 was rescheduled from August 28–30 in Shenzhen to August 26–28 in Zhuhai and held online. It was conducted as a parallel online session in conjunction with the Embodied Intelligence Wave: AI + Robotics Innovation Talent Training Forum.
The 2026 International Conference on Computer Perception and Neural Networks (CPNN 2026) will be held during August 26 to 28, 2026. Sponsored by the Guangdong Digital Intelligence Science and Technology Association, the conference aims to provide a high-level international forum for researchers, scholars, and professionals to present and exchange recent advances in computer perception and neural network technologies.
CPNN 2026 focuses on two main research tracks: Computer Perception and Vision Systems and Neural Networks and Learning Algorithms. The conference will cover key topics including computer vision, image and video analysis, object detection and tracking, multimodal perception, deep learning methods, neural network architectures, representation learning, and brain-inspired computing. By addressing both theoretical foundations and practical systems, the conference highlights the close integration of perception and learning in modern intelligent systems.
The conference seeks to promote in-depth academic exchange, foster interdisciplinary collaboration, and encourage innovation in related research fields. Researchers, engineers, and industry practitioners are warmly invited to participate in CPNN 2026 to share their latest research findings, discuss emerging challenges, and contribute to the continued development of computer perception and neural network technologies.
Full Paper Submission Date: August 19, 2026
Registration Deadline: August 22, 2026
Final Paper Submission Date: August 22, 2026
Conference Dates: August 26-28, 2026
All submitted papers will be peer reviewed by 2-3 experts from the organizing committees. Accepted papers, following proper registration and presentation, will be included in the conference proceedings and submitted for indexing in EI Compendex and Scopus.
| Track 1: Computer Perception and Vision Systems | Track 2: Neural Networks and Learning Algorithms |
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| Sponsored By | ||
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Guangdong Digital Intelligence Science and Technology Association (GDISTA) |
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| Supported By | ||
| Shenzhen Polytechnic University | ||
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| South China University of Technology | Southern University of Science and Technology | |
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| Guangdong Computer Academy | Shenzhen Technology University | |
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| Guangdong University of Technology | Macao Technology And Cultural Exchange Association | |
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