International Conference on Medical Image Computing and Computer-Assisted Intervention · 2025
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Resume (English only)
Academic Achievements
Papers presented at MIRU 2025, BMVC 2025, MICCAI 2025, and other international conferences, winning several awards.
Research Experience
Research areas include Computer Vision (Human Behavior Estimation, Image Inpainting, 3D Reconstruction), Sensing (Sensor Technology, Signal Processing, Data Acquisition), and Deep Learning (Neural Networks, Generative Models, GPU Programming).
Background
Located at the Faculty of Science and Technology, Department of Information and Computer Science, Keio University. The lab focuses on computer vision to understand human/objects in a scene and image/video synthesis for generating rich information. It also works on machine learning and sensing techniques.
Miscellany
Collaborates with universities and institutes such as Kyoto University, Kyushu University, Nagoya University; corporate partners include NTT, SONY, etc.