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Author

Naoki Ogawa

Institution: Hokkaido University
Observed institution: Hokkaido University
ORCID: 0000-0002-3884-7325
Observed ORCID: 0000-0002-3884-7325
OpenAlex ID: A5042632464
Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection
2022 · Naoki Ogawa, Keisuke Maeda, et al. · Sensors · 7
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Correlation-Aware Attention Branch Network Using Multi-Modal Data For Deterioration Level Estimation Of Infrastructures
2021 · Naoki Ogawa, Keisuke Maeda, et al. · Proceedings - International Conference on Image Processing · 6
Damage‐level classification considering both correlation between image and text data and confidence of attention map
2024 · Keisuke Maeda, Naoki Ogawa, et al. · Computer-Aided Civil and Infrastructure Engineering · 5
Estimation of Degradation Degree in Road Infrastructure Based on Multi-Modal ABN Using Contrastive Learning
2023 · Takaaki Higashi, Naoki Ogawa, et al. · Sensors · 5
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Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts’ Knowledge
2021 · Naoki Ogawa, Keisuke Maeda, et al. · IEEE Access · 5
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Distress Level Classification of Road Infrastructures via CNN Generating Attention Map
2020 · Naoki Ogawa, Keisuke Maeda, et al. · IEEE Global Conference on Life Sciences and Technologies (LifeTech) · 4
Automatic Findings Generation for Distress Images Using In-Context Few-Shot Learning of Visual Language Model Based on Image Similarity and Text Diversity
2024 · Yuto Watanabe, Naoki Ogawa, et al. · Journal of Robotics and Mechatronics · 3
Personalized Content Recommender System via Non-verbal Interaction Using Face Mesh and Facial Expression
2023 · Yuya Moroto, Rintaro Yanagi, et al. · ACM International Conference on Multimedia (ACM MM) · 2
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Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection
2021 · Keisuke Maeda, Naoki Ogawa, et al. · Journal of Imaging · 1
Degradation Level Estimation of Road Structures via Attention Branch Network with Text Data
2021 · Naoki Ogawa, Keisuke Maeda, et al. · IEEE International Conference on Consumer Electronics - Taiwan (ICCE-Taiwan) · 1
Region-based Distress Classification of Road Infrastructures via CNN without Region Annotation
2019 · Naoki Ogawa, Keisuke Maeda, et al. · IEEE Global Conference on Consumer Electronics (GCCE)
Works count: 12
Citation count: 39
H-index: 5
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