Fumio Okura

Associate Professor

Osaka University

Japan

Research Interests

Explore related searches

Professors in Japan Professors in Computer Vision Computer Vision professors in Japan

Contact this professor

Get a free first email built on one of their papers, ready for you to edit and send yourself.

About

Fumio Okura is an Associate Professor at Osaka University in Japan. His research focuses on machine learning applications in cognitive impairment detection, instance segmentation, and image analysis techniques. Recent articles include advancements in dual-task performance analysis and innovative methods for leaf image generation and tree skeleton extraction.

Articles (10)

Year:

2025

Year:

2025

Year:

2025

Year:

2025

Year:

2024

Year:

2023

Year:

2023

Year:

2022

Year:

2022

Year:

2021

Collaborators (4)

Yasuyui Matsushita

Professor

Osaka University

JAPAN

View details

Yuto Satake

Assistant Professor

Osaka University

JAPAN

View details

Daigo Muramatsu

Professor

Seikei University

JAPAN

View details

Hideo Saito

Professor

Keio University

JAPAN

View details

ApplyKite TwinLearns as you apply

Make your next move.

Prepare your application

Review drafts before you send them.

Fumio Okura

Research Interests

Explore related searches

Contact this professor

About

Articles (10)

LeafGen: Structure-aware Leaf Image Generation for Annotation-free Leaf Instance Segmentation

Masks-to-Skeleton: Multi-View Mask-Based Tree Skeleton Extraction with 3D Gaussian Splatting

Predicting Future Cognitive Decline From Long-Term Observations of Dual-Task Performance Data

A Multi-modality Fusion Model based on Dual-task Measurement for the Automatic Detection of Early-stage Cognitive Impairment

PPGCN: Phase-Aligned Periodic Graph Convolutional Network for Dual-Task-Based Cognitive Impairment Detection

Shuffled Linear Regression with Outliers in Both Covariates and Responses

Accuracy Evaluation and Prediction of Single-Image Camera Calibration

Close-Contact Detection Using a Single Camera for Sports Considering Occlusion

Discrete Search Photometric Stereo for Fast and Accurate Shape Estimation

Detecting Lower MMSE Scores in Older Adults Using Cross-Trial Features From a Dual-Task With Gait and Arithmetic

Collaborators (4)

Yasuyui Matsushita

Yuto Satake

Daigo Muramatsu

Hideo Saito

Make your next move.