Kazuto Nakashima, PhD
Associate Professor at Kyushu University

I am an Associate Professor at Kyushu University, affiliated with the Department of Interdisciplinary Informatics and the Department of Mechanical Engineering. I received my PhD at Kyushu University in 2020 under the supervision of Prof. Ryo Kurazume. My research interests lie at the intersection of computer vision and robotics, with a particular focus on 3D scene understanding and human–robot interaction. For more information, please see my curriculum vitae, research, and publications.

Email:
kazuto (at) ieee (dot) org
Affiliation:
Department of Interdisciplinary Informatics, Faculty of Information Science and Electrical Engineering, Kyushu University
Human Centered Robotics Lab (HCR), Department of Mechanical Engineering, Faculty of Engineering, Kyushu University

News #

Feb 2026
One paper accepted to ICRA 2026 (details will be announced later)
Nov 2025
Six papers accepted to SII 2026
Jun 2025
Papers accepted to SMC 2025 and CASE 2025
Jan 2025
One paper accepted to ICRA 2025
Dec 2024
Received the Award for Outstanding Young Researchers from SICE SI
Dec 2024
Nov 2024
Two papers accepted to SII 2025
Nov 2024
Promoted to Associate Professor!
Oct 2024
New preprint on gait recognition is out
Sep 2024
One paper accepted to SSSR 2024

All news →

Selected Publications #

Please see here for the full list.

DRUM: Diffusion-based Raydrop-aware Unpaired Mapping for Sim2Real LiDAR Segmentation
Tomoya Miyawaki, Kazuto Nakashima, Yumi Iwashita, Ryo Kurazume
IEEE International Conference on Robotics and Automation (ICRA), 2026
Vienna, Austria
Acceptance rate: 38.0%
Fast LiDAR Data Generation with Rectified Flows
Kazuto Nakashima, Xiaowen Liu, Tomoya Miyawaki, Yumi Iwashita, Ryo Kurazume
Website arXiv Code Demo Slide Poster
IEEE International Conference on Robotics and Automation (ICRA), 2025
Atlanta, USA
Acceptance rate: 38.7%
LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models
Kazuto Nakashima, Ryo Kurazume
Website arXiv Code Demo Slide Poster
IEEE International Conference on Robotics and Automation (ICRA), 2024
Yokohama, Japan
Acceptance rate: 44.8%
Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data
Kazuto Nakashima, Yumi Iwashita, Ryo Kurazume
Website arXiv Code Slide Poster
IEEE/CVF Winter Conference on Applications of Computer Vision (WACV), 2023
Waikoloa, USA
Acceptance rate: 40.6%
Learning to Drop Points for LiDAR Scan Synthesis
Kazuto Nakashima, Ryo Kurazume
Website arXiv Code Slide
IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS), 2021
Online
Acceptance rate: 45.5%