Scholar
Shouno Hayaru
Google Scholar ID: CwYpG2AAAAAJ
University of Electro-Communications
Citations & Impact
Citations
1,064
H-index
12
i10-index
15
Publications
20
Co-authors
31
list available
Contact
No contact links provided.
Publications
Browse publications on Google Scholar (top-right) ↗
Resume (English only)
Research Experience
- Leads Shouno Lab. with active research projects including:
- - Machine learning approaches for spectral decomposition of measurements
- - Real-time 3D image recognition (RGBD SLAM)
- - Image-feature-based metal temperature estimation
- - Analysis of internal image representations in convolutional neural networks
- - Physics-informed explainable models using deep learning
Background
- Research focuses on image processing and machine learning (including neural circuit models and deep learning) based on visual information processing.
- Develops information processing techniques for measurement images using neural models and machine learning.
- Explores the relationship between deep convolutional neural networks (CNNs) and biological visual systems, investigating how closely deep learning mimics brain mechanisms.
- Studies the 'expert eye'—the superior ability of trained professionals (e.g., technicians, doctors) to recognize task-specific texture patterns—and aims to understand this through visual psychology.
- Aims to build interpretable machine learning applications that support expert decision-making in fields like materials science and medicine.
