Scholar
Takuya Nakabayashi
Google Scholar ID: ibFwfHsAAAAJ
Keio University
Citations & Impact
Citations
44
H-index
3
i10-index
2
Publications
9
Co-authors
0
Resume (English only)
Academic Achievements
- Paper 'Ev4DGS: Novel-view Rendering of Non-Rigid Objects from Monocular Event Streams' accepted to BMVC2025; Paper 'Time-consistent Ball Tracking and Spin Estimation with Event Camera' published in MMSports2024; Paper 'E2gs: Event enhanced gaussian splatting' published in ICIP2024; Paper 'Multimodal Human Activity Recognition on Edge Devices' published in IW-P3HSE; Paper 'Event-based Ball Spin Estimation in Sports' published in CVPRW2024.
Research Experience
- Started an internship at Max Planck Institute for Informatics in Germany, advised by Dr. Vladislav Golyanik, staying until February 2025; Joined the 10th International Workshop on Computer Vision in Sports (CVsports) at CVPR 2024.
Education
- 2023-Present: Ph.D. of Science in Engineering, Keio University; 2023: Master of Science in Engineering, Keio University; 2022: Bachelor of Science in Engineering, Keio University.
Background
- Takuya Nakabayashi is a Ph.D. student at Keio University, Japan, advised by Prof. Hideo Saito. His research interests include event-based vision, 3D reconstruction, motion estimation, and edge computing.
Miscellany
- Received JST BOOST, Tanaka Memorial Scholarship, JST SPRING support, and JSPS Overseas Challenge Program for Young Researchers.
Co-authors