2026 International Symposium on Computer Vision and Artificial Intelligence (CVAI 2026)
Mar. 27-29, 2026 | Shanghai, China
https://www.cvai2026.org/

2026 International Symposium on Computer Vision and Artificial Intelligence (CVAI 2026) will be held in Shanghai, China from Mar. 27 to 29, 2026. CVAI 2026 Symposium is organized by Asia Pacific Institute of Science and Engineering(APISE).

●Publication and Indexing
All the registered and presented papers will be submitted to the publisher for review, and papers that meet the requirements will be published. Selected papers with high quality, which are presented on conference, will be recommended to publish in the international journals.

●Topics
This symposium has 5 tracks, and topics of interest for each track include (but are not limited to):

Track 1: Machine and Deep Learning
Big data visualization
Cellular computing
Cloud computing
Cognitive intelligence
Complex Systems
Deep learning
Expert systems
Feature elicitation
Game AI
Image classification
Intelligent systems
Learning theory
Multitasking and transfer learning
Natural language processing
Neural networks and applications
Real-time decisions
Recommender systems
Reinforcement learning
Structure discovery
Supervised and unsuprvised learning
System interpretability

Track 2: Computational Intelligence
Combinatorial and numerical optimization
Differential evolution
Evolutionary computing
Fuzzy quadratic programming
Fuzzy systems
Gene expression
Genetic algorithm
Genetic programming
Multi criteria decision making
Natural heuristic methods
Nature inspired computing
Nature-inspired metaheuristic algorithms
Rough sets
Soft computing
Swarm intelligence

Track 3: Robotics and Automation
Agricultural Robotics
Applications of Autonomous Intelligent Robots
Autonomous Robotic Systems
Computer Vision and Image Processing
Control Architectures and Programming
Cooperative Perception
Cooperative Planning and Task Allocation
Dexterous Manipulation and Grasping
Educational Robotics
Entertainment Robots
Evolutionary Robotics
Humanoid Robotics
Human-Robot Interaction
Intelligent Control systems
Localization, Mapping, and Navigation
Locomotion and Actuation Systems
Multi-Robot Coordination
Multi-Robot Systems
Planning, Reasoning and Modelling
Recognition and Tracking
Robot Learning
Robotic Competitions

Track 4: Mining and Data Analysis
Classification and Clustering
Consistent Data Model
Data Access
Data and Knowledge Representation
Data Mining Applications
Data Streams Mining, Graph Mining
Databases
Integrating Constraints and Knowledge in the KDD Process
Interactive Data Exploration/Visualization and Discovery
Knowledge Discovery Framework and Process
Knowledge Processing
Languages and Interfaces for Data Mining
Mining Trends
Multimedia Data Mining
Parallel and Distributed Data mining Algorithms
Pre-processing Techniques
Security and Information Hiding in Data Mining
Social Networks
Spatial Data mining, Text Video
Statistical Techniques for Generating a Robust
Visualization
Web Mining

Track 5: Image Processing and Computer Vision
Activity Detection/ Recognition
Biometrics, Forensics, Content Protection
Computational Imaging
Compressed Image/ Video Analytics
Document Image Analysis
Document and Synthetic Visual Processing
Human Computer Interaction
Image/ Video Scene Understanding
Image/ Video Retrieval
Image Enhancement /Super Resolution / Restoration
Image/ Video Processing for Autonomous Vehicles
Image/ Video Security
Medical Image Analysis
Motion and Tracking
Remote Sensing, Hyperspectral Image Processing
Segmentation and Shape Representation
Visual Sensor Hardware
Vision based Human GAIT Analysis

●Submission Method
It is only supported to submit manuscript via Electronical Submission System
https://cmt3.research.microsoft.com/CVAI2026


●Notice
1) Manuscripts must be written in English;
2) The manuscript should be written in accordance with the standard of template;
3) Plagiarism is prohibited;
4) Duplicate submission is prohibited.

●Call for participants
1,Presenter: If you are interested in giving presentation on conference, without publishing, you need to submit the abstract and title of your presentation to us: cvai@apise.org
2,Listener: You are welcome to attend this great event. You need to complete the registration as Listener before the registration deadline.
3,Reviewer: We sincerely welcome professors, associate professors, teachers and other experts in the areas above join the conference as a reviewer.

●Contact Us
Ms. Cici Chou
Phone: 19136072802
Email: cvai@apise.org
Web: https://www.cvai2026.org/