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ORCIDNaoki Saito 0006
Person information
- affiliation: National Institute of Technology, Kushiro College, Department of Creative Engineering, Japan
- affiliation (PhD 2019): Hokkaido University, Faculty of Information Science and Technology, Sapporo, Japan
Other persons with the same name
- Naoki Saito 0001
![[0000-0001-5234-4719]](https://dblp.uni-trier.de/img/orcid-mark.12x12.png "0000-0001-5234-4719")
— University of California, Davis, USA - Naoki Saito 0002 — Akita Prefectural University, Yurihonjo, Japan
- Naoki Saito 0003 — Shiseido Research Center, Hayabuchi, Tuduki-ku, Yokahama-shi, Kanagawa, Japan
- Naoki Saito 0004 — Tohoku University, Japan
- Naoki Saito 0005 — Tokyo University, Japan
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2020 – today
- 2024
[j6]Keisuke Maeda, Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Multi-Modal Gaussian Process Latent Variable Model With Semi-Supervised Label Dequantization. IEEE Access 12: 127244-127258 (2024)- [j5]Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Expert-Novice Level Classification Using Graph Convolutional Network Introducing Confidence-Aware Node-Level Attention Mechanism. Sensors 24(10): 3033 (2024) - [c12]Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Confidence-Aware Spatial-Temporal Attention Graph Convolutional Network for Skeleton-Based Expert-Novice Level Classification. ICASSP 2024: 1796-1800 - 2023
- [j4]Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Visual Emotion Recognition Through Multimodal Cyclic-Label Dequantized Gaussian Process Latent Variable Model. J. Robotics Mechatronics 35(5): 1321-1330 (2023) - [c11]Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Skill Level Classification Using Motion Data via Spatial Temporal Graph Convolutional Network. GCCE 2023: 243-244 - [c10]Tatsuki Seino, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Proficiency-level Estimation Using Heterogeneous Features via Label Dequantized CCA. ICCE-Taiwan 2023: 813-814 - 2021
- [j3]Masanao Matsumoto, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Supervised Fractional-Order Embedding Multiview Canonical Correlation Analysis via Ordinal Label Dequantization for Image Interest Estimation. IEEE Access 9: 21810-21822 (2021) - [j2]Ren Togo, Naoki Saito, Keisuke Maeda, Takahiro Ogawa, Miki Haseyama:
Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions. Sensors 21(6): 2088 (2021) - [c9]Masanao Matsumoto, Keisuke Maeda, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Multi-Modal Label Dequantized Gaussian Process Latent Variable Model for Ordinal Label Estimation. ICASSP 2021: 3985-3989 - 2020
- [c8]Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Interest Estimation for Images Using Eye Gaze-based Visual and Text Features via DLPCCA. LifeTech 2020: 3-4
2010 – 2019
- 2019
- [j1]Ren Togo, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Estimating Regions of Deterioration in Electron Microscope Images of Rubber Materials via a Transfer Learning-Based Anomaly Detection Model. IEEE Access 7: 162395-162404 (2019) - [c7]Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Interest Estimation for Images Based on Eye Gaze-based Visual and Text Features. GCCE 2019: 481-482 - [c6]Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Convolutional Sparse Coding-based Anomalous Event Detection in Surveillance Videos. ICCE-TW 2019: 1-2 - [c5]Taiga Matsui, Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Estimation of Emotions Evoked by Images Based on Multiple Gaze-based CNN Features. LifeTech 2019: 194-195 - [c4]Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Chronic Gastritis Detection from Gastric X-ray Images via Deep Autoencoding Gaussian Mixture Models. LifeTech 2019: 231-232 - 2018
- [c3]Masanao Matsumoto, Naoki Saito, Takahiro Ogawa, Miki Haseyama:
Missing Image Data Estimation via Iterative Convolutional Sparse Coding. GCCE 2018: 200-201 - [c2]Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
Tourism Category Classification on Image Sharing Services Through Estimation of Existence of Reliable Results. ICMR 2018: 493-496 - 2016
- [c1]Naoki Saito, Takahiro Ogawa, Satoshi Asamizu, Miki Haseyama:
A tourism category classification method based on estimation of reliable decision. GCCE 2016: 1-2
Coauthor Index
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