Computer Vision
Understand visual input.
Perceiving and gaining semantic understanding of our world via visual sensors. Automating this type of understanding is crucial for applications such as personal robotics, autonomous driving and factory automation.
Publications
Multi-View Neural Surface Reconstruction with Structured Light
By : Chunyu Li, Taisuke Hashimoto, Eiichi Matsumoto, Hiroharu Kato
Decomposing NeRF for Editing via Feature Field Distillation
NeurIPS 2022
By : Sosuke Kobayashi, Eiichi Matsumoto, Vincent Sitzmann
Surface-Aligned Neural Radiance Fields for Controllable 3D Human Synthesis
CVPR 2022
By : Tianhan Xu, Yasuhiro Fujita, Eiichi Matsumoto
Warp-Refine Propagation: Semi-Supervised Auto-labeling via Cycle-consistency
ICCV 2021
By : Aditya Ganeshan, Alexis Vallet, Yasunori Kudo, Shin-ichi Maeda, Tommi Kerola, Rares Ambrus, Dennis Park, Adrien Gaidon