Kazuto Nakashima

Orcid: 0000-0002-6773-7811

According to our database1, Kazuto Nakashima authored at least 25 papers between 2014 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

Legend:

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PhD thesis 
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Links

On csauthors.net:

Bibliography

2024
Gait Sequence Upsampling using Diffusion Models for Single LiDAR Sensors.
CoRR, 2024

RGB-Based Gait Recognition With Disentangled Gait Feature Swapping.
IEEE Access, 2024

Sensor Pods and ROS2-TMS for Construction for Cyber-Physical System at Earthwork Sites.
Proceedings of the IEEE International Symposium on Safety Security Rescue Robotics, 2024

Development of a Retrofit Backhoe Teleoperation System Using Cat Command.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2024

Fast LiDAR Upsampling using Conditional Diffusion Models.
Proceedings of the 33rd IEEE International Conference on Robot and Human Interactive Communication, 2024

LiDAR Data Synthesis with Denoising Diffusion Probabilistic Models.
Proceedings of the IEEE International Conference on Robotics and Automation, 2024

2023
Learning Viewpoint-Invariant Features for LiDAR-Based Gait Recognition.
IEEE Access, 2023

Generative Range Imaging for Learning Scene Priors of 3D LiDAR Data.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2023

Analysis of Force Applied to Horizontal and Vertical Handrails with Impaired Motor Function.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2023

2022
Understanding Humanitude Care for Sit-to-stand Motion by Wearable Sensors.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

Gait Recognition using Identity-Aware Adversarial Data Augmentation.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

2V-Gait: Gait Recognition using 3D LiDAR Robust to Changes in Walking Direction and Measurement Distance.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2022

2021
Learning to Drop Points for LiDAR Scan Synthesis.
Proceedings of the IEEE/RSJ International Conference on Intelligent Robots and Systems, 2021

2020
Virtual IR Sensing for Planetary Rovers: Improved Terrain Classification and Thermal Inertia Estimation.
IEEE Robotics Autom. Lett., 2020

2019
Fukuoka datasets for place categorization.
Int. J. Robotics Res., 2019

TU-Net and TDeepLab: Deep Learning-Based Terrain Classification Robust to Illumination Changes, Combining Visible and Thermal Imagery.
Proceedings of the 2nd IEEE Conference on Multimedia Information Processing and Retrieval, 2019

MU-Net: Deep Learning-Based Thermal IR Image Estimation From RGB Image.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

2018
Learning geometric and photometric features from panoramic LiDAR scans for outdoor place categorization.
Adv. Robotics, 2018

Virtual Sensors Determined Through Machine Learning.
Proceedings of the 2018 World Automation Congress, 2018

Fourth-Person Captioning: Describing Daily Events by Uni-supervised and Tri-regularized Training.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2018

2017
Recognizing outdoor scenes by convolutional features of omni-directional LiDAR scans.
Proceedings of the IEEE/SICE International Symposium on System Integration, 2017

Previewed reality: Near-future perception system.
Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

Feasibility study of IoRT platform "Big Sensor Box".
Proceedings of the 2017 IEEE International Conference on Robotics and Automation, 2017

2016
Automatic houseware registration system for informationally-structured environment.
Proceedings of the 2016 IEEE/SICE International Symposium on System Integration, 2016

2014
Fourth-Person Sensing for Pro-active Services.
Proceedings of the Fifth International Conference on Emerging Security Technologies, 2014


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