YOKOYA Naoto
(Professor/Division of Transdisciplinary Sciences)
Department of Complexity Science and Engineering/Visual Information Processing
Career Summary
2008: Graduated from Department of Aeronautics and Astronautics (University of Tokyo) 2013: Received Ph.D. in Engineering (University of Tokyo) 2013-2017: Assistant Professor (University of Tokyo) 2015-2017: Alexander von Hunboldt Research Fellow (DLR and TUM) 2018-2023: Unit Leader (RIKEN) 2020-2022: Lecturer (University of Tokyo) 2022-2025: Associate Professor (University of Tokyo) 2023-present: Team Director (RIKEN) 2025-present: Professor (University of Tokyo)
Research Activities
We conduct research on accurately understanding and reconstructing physical, geometric, and semantic structures of the real world based on visual observation data, using image processing, machine learning, and modeling as core technologies. In particular, we are advancing the development of intelligent data processing frameworks that capture the “current state” of the Earth by leveraging remote sensing and geotagged ground-level data to monitor changes in urban and natural environments.
Other Activities
nstitute of Electrical and Electronics Engineers (IEEE) Remote Sensing Society of Japan (RSSJ) IEEE Geoscience and Remote Sensing Society (GRSS) Image Analysis and Data Fusion Technical Committee Chair (2019-2021) and Co-Chair (2017-2019) IEEE GRSS All Japan Joint Chapter Secretary (2018-2022) EARTHVISION@CVPR Organizer (2019-2020) spacer
Future Plan
Our goal is to develop an intelligent system to understand what is happening on the Earth from multimodal spatio-temporal data.
Messages to Students
Developing cutting-edge technologies in image processing and machine learning, as well as applying them to solve global problems such as environmental destruction and large-scale disasters, is exciting and rewarding. Everyone who has the spirit to change the world through your research, let's open up the frontiers together.