Profile
Takahiro Maeda received B.Eng. from Toyota Technological Institute (TTI), Japan, in 2019. Then, he also received M.Eng. from TTI, under the supervision of Dr.Norimichi Ukita at Intelligent Information Media Laboratory, in 2021. He is currently a PhD candidate at the same lab from 2021.
Education
- B.Eng., Toyota Technological Institute, 2019
- M.Eng., Toyota Technological Institute, 2021
Work experience
- Research Assistant
- Toyota Technological Institute, Nagoya, Japan
- Supervisor: Norimichi Ukita
- Intern
- Frontier Research Center, Toyota Motor Corp. (May - August, 2023)
Publications
Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction
T. Maeda and N. Ukita, "Fast Inference and Update of Probabilistic Density Estimation on Trajectory Prediction" ICCV2023
MotionAug: Augmentation with Physical Correction for Human Motion Prediction
T. Maeda and N. Ukita, "MotionAug: Augmentation with Physical Correction for Human Motion Prediction" CVPR2022
NTIRE 2021 Challenge on Burst Super-Resolution: Methods and Results
Bhat, G., Danelljan, M., & Timofte, R. (2021). NTIRE 2021 challenge on burst super-resolution: Methods and results. In Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (pp. 613-626).
Data Augmentation for Human Motion Prediction
T. Maeda and N. Ukita, "Data Augmentation for Human Motion Prediction," 2021 17th International Conference on Machine Vision and Applications (MVA), 2021, pp. 1-5, doi: 10.23919/MVA51890.2021.9511368.
Grasp and Motion Planning for Dexterous Manipulation for the Real Robot Challenge
Yoneda, T., Schaff, C., Maeda, T., & Walter, M. (2021). Grasp and motion planning for dexterous manipulation for the real robot challenge. arXiv preprint arXiv:2101.02842.
Human Pose Annotation Using a Motion Capture System for Loose-Fitting Clothes
Matsumoto, T., Shimosato, K., Maeda, T., Murakami, T., Murakoso, K., Mino, K., & Ukita, N. (2020). Human Pose Annotation Using a Motion Capture System for Loose-Fitting Clothes. IEICE Transactions on Information and Systems, 103(6), 1257-1264.
Automatic human pose annotation for loose-fitting clothes
Matsumoto, T., Shimosato, K., Maeda, T., Murakami, T., Murakoso, K., Mino, K., & Ukita, N. (2019, May). Automatic human pose annotation for loose-fitting clothes. In 2019 16th International Conference on Machine Vision Applications (MVA) (pp. 1-6). IEEE.
Skills
- Coding skill: python, C/C++
- Deep Learning Framework: tensorflow/Pytorch
- Physics Simulator: Bullet Physics
- Certified Care Worker in Japan (licensed 2022 April)
Honor & Award
The first place, €12500 granted
Real Robot Challenge, 2020, the Max Planck Institute for Intelligent Systems
Best Poster Award
Machine Vision and Applications Organization
Tokyo, Japan, 2019