Scopes
(Including but not limited to the following topics)
Track 1: Computer Graphics
Fundamentals and Algorithms of Graphics
Realistic Graphics
Geometric Modeling and Processing
Computer Animation and Games
Non-realistic Graphics
Graphics Techniques Based on Images and Videos
Computer-Aided Geometric Design
Computer-Aided Design
Virtual Reality Technology and Applications
Mixed Reality Technology and Applications
Scientific Computing Visualization
Image and Video Processing and Digital Media Technology
Computer Simulation
Human-Computer Interaction Technology
Engineering Graphics and Applications Three-dimensional vision
Graphical User Interface
Track 2: Neural Networks
Neural network structure, Convolutional Neural Network
Recurrent Neural Network, Spiking Neural Network
Graph Neural Network Attention mechanism
Network optimization, transfer learning
Neural information processing
Biologically inspired neural models
Reinforcement learning
Self-organizing networks
Federated neural learning
Interpretable neural models
Neural computing for human-computer interaction
Track 3: Deep learning
Deep representation learning
Generative models
Multimodal deep learning
Self-supervised learning Large language model
Deep reinforcement learning
Small sample and zero sample learning
Interpretable deep learning
Edge and cloud-based deep learning
Trustworthy artificial intelligence
The application of deep learning in human-computer interaction
Visual language model
Computer vision
Object detection learning
Emotion recognition
Adaptive deep system
The application of deep learning in robots ......
Track 1: Computer Graphics
Fundamentals and Algorithms of Graphics
Realistic Graphics
Geometric Modeling and Processing
Computer Animation and Games
Non-realistic Graphics
Graphics Techniques Based on Images and Videos
Computer-Aided Geometric Design
Computer-Aided Design
Virtual Reality Technology and Applications
Mixed Reality Technology and Applications
Scientific Computing Visualization
Image and Video Processing and Digital Media Technology
Computer Simulation
Human-Computer Interaction Technology
Engineering Graphics and Applications Three-dimensional vision
Graphical User Interface
Track 2: Neural Networks
Neural network structure, Convolutional Neural Network
Recurrent Neural Network, Spiking Neural Network
Graph Neural Network Attention mechanism
Network optimization, transfer learning
Neural information processing
Biologically inspired neural models
Reinforcement learning
Self-organizing networks
Federated neural learning
Interpretable neural models
Neural computing for human-computer interaction
Track 3: Deep learning
Deep representation learning
Generative models
Multimodal deep learning
Self-supervised learning Large language model
Deep reinforcement learning
Small sample and zero sample learning
Interpretable deep learning
Edge and cloud-based deep learning
Trustworthy artificial intelligence
The application of deep learning in human-computer interaction
Visual language model
Computer vision
Object detection learning
Emotion recognition
Adaptive deep system
The application of deep learning in robots ......
Important Dates/重要日期
- Submission Deadline: 2026.7.21
- Registration Deadline: 2026.7.28
- Conference Date: 2026.8.5
- Notification Date: About a week after the submission
Submission Portal/投稿方式
Mail Address: icmbga_conf@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
徐老师
+86-15680829715(微信同号)
1347638002
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