Call For Papers

The topics of interest for submission include, but are not limited to:

◕ Machine learning

  • Deep Learning

  • Neural Networks

  • Visual Feature Learning

  • Object Detection and Image Segmentation Algorithms

  • Multimodal Visual Information Fusion

  • 3D Vision and Point Cloud Data Learning

  • Machine Learning Applications in Medical Imaging

  • Visual Perception under Multi-sensor Fusion

  • Self-supervised Learning

  • Reinforcement Learning and Multi-agent Systems

  • Transfer Learning and Lifelong Learning

  • Federated Learning and Privacy Protection

  • Automated Machine Learning (AutoML)

  • Neural Architecture Search (NAS)

  • Adversarial Machine Learning

  • Model Interpretability

  • Model Robustness and Security

  • Quantum Machine Learning


◕ Large Model Technologies

  • Generative Large-scale Models

  • Visual Pretrained Model Architectures

  • Large-scale Models Integrating Visual and Optical Sensing

  • Pretrained Language Models

  • Multimodal Fusion

  • Training and Optimization of Large-scale Models

  • Large-scale Distributed Training

  • Model Compression

  • Hardware Acceleration and Heterogeneous Computing

  • Interpretability and Robustness Analysis of Visual Large-scale Models


◕ Application Practices of Machine Learning and Large Models

  • Image Enhancement and Restoration Technologies

  • Object Detection and Semantic Segmentation

  • 3D Reconstruction and Volumetric Imaging

  • Multispectral and Hyperspectral Image Analysis

  • Visual Processing and Analysis of Medical Imaging

  • Autonomous Driving and Robotic Visual Perception

  • Natural Language Processing

  • Computer Vision

  • Speech Recognition

  • Speech Synthesis

  • Multimodal Interaction

  • Bioinformatics