Scopes
(Including but not limited to the following topics)
Track 1: Computer Vision
Image classification and object recognition
Object detection and localization
Image semantic segmentation and instance segmentation
Object tracking and motion analysis
3D reconstruction and SLAM
Pose estimation and human action recognition
Behavior understanding and event detection
Scene understanding and visual reasoning
Multi-view geometry and stereo vision
Optical flow and motion estimation
Visual saliency detection
Image retrieval and re-identification
Person re-identification (ReID)
Remote sensing image interpretation
Video analysis and summarization Visual attention mechanism
Generative Adversarial Network (GAN) Visual Applications
Self-supervised and Semi-supervised Visual Learning
Small Sample and Zero Sample Visual Recognition
Visual Model Explainability
Track 2: Deep Learning
Deep Neural Network Architecture Design (CNN/Transformer/MLP)
Convolutional Neural Network (CNN)
Recurrent Neural Network and LSTM
Graph Neural Network (GNN)
Generative Adversarial Network (GAN)
Variational Autoencoder (VAE)
Diffusion Models
Transformer and Attention Mechanism
Self-supervised Learning
Contrastive Learning and Representation Learning
Meta Learning and Small Sample Learning
Multimodal Deep Learning
Federated Learning and Privacy-Preserving Deep Learning
Deep Reinforcement Learning
Neural Architecture Search (NAS)
Model Compression and Pruning
Quantization and Knowledge Distillation
Deep Learning Optimization Algorithms (Adam/Adaptive Learning Rate)
Deep Learning Generalization and Overfitting
Explainable Deep Learning
Track 3: Image Processing
Image Enhancement and Contrast Adjustment
Image Denoising and Filtering
Image Restoration and Deblurring
Image Super-Resolution Reconstruction
Image Interpolation and Resampling
Image Compression and Coding
Image Segmentation and Edge Detection Morphological image processing
Texture analysis and synthesis
Color space and color enhancement
Image pyramid and multi-scale processing
Frequency domain processing and wavelet transformation
Image registration and fusion
Image quality evaluation
Medical image processing (CT/MRI/PET)
Remote sensing image processing
Track 1: Computer Vision
Image classification and object recognition
Object detection and localization
Image semantic segmentation and instance segmentation
Object tracking and motion analysis
3D reconstruction and SLAM
Pose estimation and human action recognition
Behavior understanding and event detection
Scene understanding and visual reasoning
Multi-view geometry and stereo vision
Optical flow and motion estimation
Visual saliency detection
Image retrieval and re-identification
Person re-identification (ReID)
Remote sensing image interpretation
Video analysis and summarization Visual attention mechanism
Generative Adversarial Network (GAN) Visual Applications
Self-supervised and Semi-supervised Visual Learning
Small Sample and Zero Sample Visual Recognition
Visual Model Explainability
Track 2: Deep Learning
Deep Neural Network Architecture Design (CNN/Transformer/MLP)
Convolutional Neural Network (CNN)
Recurrent Neural Network and LSTM
Graph Neural Network (GNN)
Generative Adversarial Network (GAN)
Variational Autoencoder (VAE)
Diffusion Models
Transformer and Attention Mechanism
Self-supervised Learning
Contrastive Learning and Representation Learning
Meta Learning and Small Sample Learning
Multimodal Deep Learning
Federated Learning and Privacy-Preserving Deep Learning
Deep Reinforcement Learning
Neural Architecture Search (NAS)
Model Compression and Pruning
Quantization and Knowledge Distillation
Deep Learning Optimization Algorithms (Adam/Adaptive Learning Rate)
Deep Learning Generalization and Overfitting
Explainable Deep Learning
Track 3: Image Processing
Image Enhancement and Contrast Adjustment
Image Denoising and Filtering
Image Restoration and Deblurring
Image Super-Resolution Reconstruction
Image Interpolation and Resampling
Image Compression and Coding
Image Segmentation and Edge Detection Morphological image processing
Texture analysis and synthesis
Color space and color enhancement
Image pyramid and multi-scale processing
Frequency domain processing and wavelet transformation
Image registration and fusion
Image quality evaluation
Medical image processing (CT/MRI/PET)
Remote sensing image processing
Important Dates | 重要日期
- Submission Deadline: 2026.8.10
- Registration Deadline: 2026.8.17
- Conference Date: 2026.8.22
- Notification Date: About a week after the submission
Submission Portal | 投稿方式
Mail Address: paper_proc@163.com
If you have any question or need any assistance regarding the conference, please feel free to contact our conference specialists:
谢老师
15528045772
3825393354
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