Kaoru Hirota
Biographic Data
| ID | 9419231 |
|---|---|
| NAME | Kaoru Hirota |
| GIVEN NAMES | Kaoru |
| FAMILY NAME | Hirota |
| SIGNATURE | HIROTA K |
| AFFILIATIONS | Tokyo Institute of Technology |
| ORCID | 0000-0002-3059-348X |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2015 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Skeleton-Based Action Recognition Using Multibranch Adaptive Graph Convolutional Network With Pose Refinement
A multibranch adaptive graph convolutional network is proposed for human action recognition by combining graph convolutional networks (GCNs), adaptive learning, and multibranch feature extraction. Through the adaptive graph convolution module, this method can adaptively change parameters during the training process, thereby enhancing the flexibility of the model. Furthermore, the integration of shallow-level features (skeleton joints), with deep-…
Emotion-Age-Gender-Nationality Based Intention Understanding in Human–Robot Interaction Using Two-Layer Fuzzy Support Vector Regression
No prominent works on this page.
Emotion-Age-Gender-Nationality Based Intention Understanding in Human–Robot Interaction Using Two-Layer Fuzzy Support Vector Regression
Skeleton-Based Action Recognition Using Multibranch Adaptive Graph Convolutional Network With Pose Refinement
A multibranch adaptive graph convolutional network is proposed for human action recognition by combining graph convolutional networks (GCNs), adaptive learning, and multibranch feature extraction. Through the adaptive graph convolution module, this method can adaptively change parameters during the training process, thereby enhancing the flexibility of the model. Furthermore, the integration of shallow-level features (skeleton joints), with deep-…
Artificial Intelligence (2 works) · Computer Science (2 works) · Action Recognition (1 works) · Anomaly Detection Techniques and Applications (1 works) · Artificial neural network (1 works) · Color perception and design (1 works) · Combinatorics (1 works) · Convolutional neural network (1 works) · Emotion and Mood Recognition (1 works) · Face and Expression Recognition (1 works)