2026 International Conference on Computer Perception and Neural Networks
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The 2026 International Conference on Computer Perception and Neural Networks (CPNN 2026) welcomes scholars to submit their contributions.

Topics of interest include, but are not limited to:

 

Track 1: Computer Perception and Vision Systems Track 2: Neural Networks and Learning Algorithm
  • Computer vision and pattern recognition
  • Image and video analysis
  • Object detection and tracking
  • Scene understanding and visual perception
  • 3D vision and point cloud processing
  • Multimodal perception and sensor fusion
  • Human–computer interaction and visual interfaces
  • Biometric recognition and visual security
  • Perception for robotics and autonomous systems
  • Neural network architectures and models
  • Deep learning methods and optimization
  • Convolutional, recurrent, and graph neural networks
  • Representation learning and feature extraction
  • Self-supervised and reinforcement learning
  • Robust, efficient, and interpretable neural networks
  • Distributed and federated learning
  • Brain-inspired and neuromorphic computing
  • Neural networks for perception and intelligent systems