Naoki Saito

Orcid: 0000-0001-7611-2461

Affiliations:

National Institute of Technology, Kushiro College, Department of Creative Engineering, Japan
Hokkaido University, Faculty of Information Science and Technology, Sapporo, Japan (PhD 2019)

According to our database¹, Naoki Saito authored at least 20 papers between 2016 and 2024.

Collaborative distances:

Dijkstra number² of five.
Erdős number³ of four.

Timeline

Legend:

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Article

PhD thesis

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Other

Bibliography

2024

Expert-Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism.

[BibT_eX]

[DOI]

Sensors, May, 2024

Multi-Modal Gaussian Process Latent Variable Model With Semi-Supervised Label Dequantization.

[BibT_eX]

[DOI]

IEEE Access, 2024

Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2024

Zero-shot Composed Video Retrieval with Projection Module Bridging Modality Gap.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

Personalized Visual Emotion Classification via In-context Learning in Multimodal LLM.

[BibT_eX]

[DOI]

Proceedings of the 13th IEEE Global Conference on Consumer Electronics, 2024

2023

Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model.

[BibT_eX]

[DOI]

J. Robotics Mechatronics, October, 2023

Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA.

[BibT_eX]

[DOI]

Proceedings of the International Conference on Consumer Electronics - Taiwan, 2023

Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network.

[BibT_eX]

[DOI]

Proceedings of the 12th IEEE Global Conference on Consumer Electronics, 2023

2021

Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions.

[BibT_eX]

[DOI]

Sensors, 2021

Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation.

[BibT_eX]

[DOI]

IEEE Access, 2021

Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCA.

[BibT_eX]

[DOI]

Proceedings of the 2nd IEEE Global Conference on Life Sciences and Technologies, 2020

2019

Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection Model.

[BibT_eX]

[DOI]

IEEE Access, 2019

Chronic Gastritis Detection from Gastric X-ray Images via Deep Autoencoding Gaussian Mixture Models.

[BibT_eX]

[DOI]

Proceedings of the IEEE 1st Global Conference on Life Sciences and Technologies, 2019

Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE 1st Global Conference on Life Sciences and Technologies, 2019

Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Consumer Electronics - Taiwan, 2019

Interest Estimation for Images Based on Eye Gaze-based Visual and Text Features.

[BibT_eX]

[DOI]

Proceedings of the IEEE 8th Global Conference on Consumer Electronics, 2019

2018

Tourism Category Classification on Image Sharing Services Through Estimation of Existence of Reliable Results.

[BibT_eX]

[DOI]

Proceedings of the 2018 ACM on International Conference on Multimedia Retrieval, 2018

Missing Image Data Estimation via Iterative Convolutional Sparse Coding.

[BibT_eX]

[DOI]

Proceedings of the IEEE 7th Global Conference on Consumer Electronics, 2018

2016

A tourism category classification method based on estimation of reliable decision.

[BibT_eX]

[DOI]

Proceedings of the IEEE 5th Global Conference on Consumer Electronics, 2016

Naoki Saito

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