CV
Education
- B.S. in Engineering, Keio University, 2016
- M.S. in Engineering, Keio University, 2018
- Ph.D in Engineering, Keio University, 2021.
Work experience
- Aug. 2015 - Oct. 2015: Internship
- Jun. 2016 - Jul. 2016: Internship
- Microsoft Development Japan
- Jan. 2019 - Mar. 2019: Visiting researcher
- Aug. 2019 - Dec. 2019: Visiting researcher
- Carnegie Mellon University
- Apr. 2021 - Jun. 2023: Computer Vision Engineer/Researcher
- Jul. 2021 - Jan. 2023: Project Assistant Professor
- Jul. 2023 - : Research Scientist
Award
- Ryo Hachiuma, Wentong Liao, Manuel Nickel, and Giovanna Pappalardo, Honorable Mention Award Essay Competition - The Social Impact of Computer Vision in International Computer Vision Summer School 2019.
- Ryo Hachiuma, Best paper Award Asia Pacific Workshop on Mixed and Augmented Reality (APMAR) 2019 Link
- 齋藤祐貴,八馬遼,山口真弘,斎藤英雄 優秀賞, 情報処理学会CVIM研究会, 2020年5月15日受賞 Link
- 八馬遼, 斎藤英雄 最優秀賞, 情報処理学会CVIM研究会 主査 向川康博, 2016年5月13日受賞 Link
Academic experience
- ISMAR 2019, 2020, 2021 Reviewer
- IEEE VR 2019 Reviewer
- IEEE Access Reviewer
- IPSJ Computer Vision and Applications Reviewer
- CVPR 2023 Reviewer
- SIGGRAPH 2023 Reviewer
- ICIP 2022 Reviewer
- CVPR 2023 Reviewer
- ICCV 2023 Reviewer
- SIGGRAPH 2023 Reviewer
Competitions
- Diabetic Foot Ulcer Challenge in MICCAI 2020 1st Place Link code
- AI Edge Contest Semantic Segmentation Challenge 2019 10th Prize Link
- The 2020 CORSMAL Challenge 2nd Place Link
Publications
International Conference
- Ryo Hachiuma, Tomohiro Shimizu, Hideo Saito, Hiroki Kajita, Yoshihumi Takatsume, “Deep Selection: A Fully Supervised Camera Selection Network for Surgery Recordings”, 23rd International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI 2020), 2020. paper.
- Reina Ishikawa, Ryo Hachiuma, Akiyoshi Kurobe, Hideo Saito, “Single-modal Incremental Terrain Clustering from Self-Supervised Audio-Visual Feature Learning”, International Conference on Pattern Recognition (ICPR), 2020.
- Ryosuke Hori, Ryo Hachiuma, Hideo Saito, Mariko Isogawa, Dan Mikami, “Silhouette-based Synthetic Data Generation for 3D Human Pose Estimation with a Single Wrist-mounted 360° Camera”, International Conference on Image Processing (ICIP 2021). paper
- Mana Masuda, Ryo Hachiuma, Ryo Fujii, Hideo Saito, Yusuke Sekikawa, “Toward Unsupervised 3D Point Cloud Anomaly Detection using Variational Autoencoder”, International Conference on Image Processing (ICIP 2021). paper
- Zhengyi Luo, Ryo Hachiuma, Ye Yuan, Kris Kitani, “Dynamics-Regulated Kinematic Policy for Egocentric Pose Estimation”, NeurIPS 2021 paper. See all publications here.