Scholar
Fan Yang
Google Scholar ID: LndV87gAAAAJ
Fujitsu
Citations & Impact
Citations
972
H-index
11
i10-index
11
Publications
20
Co-authors
0
Publications
Resume
Academic Achievements
- Paper 'Is Weakly-supervised Action Segmentation Ready For Human-Robot Interaction? No, Let’s Improve It With Action-union Learning' selected as IROS Best Paper Award Finalist on Cognitive Robotics; Developed the Fujitsu Gymnastic Judging Support System, which was successfully applied in 10 apparatuses at the 52nd FIG Artistic Gymnastics World Championships, and applied for multiple patents.
Research Experience
- Responsible for developing the multi-camera gymnast detection and tracking modules for the Fujitsu Gymnastic Judging Support System. Published related techniques in multiple international conferences and journals.
Education
- Bachelor's degree from Nanjing University (China); Master's and Doctoral degrees from Nara Institute of Science and Technology (Japan).
Background
- Currently working as a senior researcher at Fujitsu Research, with research interests including multi-camera motion capturing, pose estimation, and action recognition.
Miscellany
- Email: hongheyangfan@gmail.com