| Type | Author(s) | Title | Other Titles | Citation | Citation(alt) | Issue Date |
| article | Ogawa, Naoki; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, Miki | Deterioration Level Estimation Based on Convolutional Neural Network Using Confidence-Aware Attention Mechanism for Infrastructure Inspection | - | Sensors | - | Jan-2022 |
| article | Maeda, Keisuke; Ogawa, Naoki; Ogawa, Takahiro; Haseyama, Miki | Reliable Estimation of Deterioration Levels via Late Fusion Using Multi-View Distress Images for Practical Inspection | - | Journal of Imaging | - | 9-Dec-2021 |
| article | Kamikawa, Kyohei; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, Miki | Feature Integration Through Semi-Supervised Multimodal Gaussian Process Latent Variable Model With Pseudo-Labels for Interest Level Estimation | - | IEEE Access | - | 1-Dec-2021 |
| article | Nakagawa, Nao; Togo, Ren; Ogawa, Takahiro; Haseyama, Miki | Disentangled Representation Learning in Real-World Image Datasets via Image Segmentation Prior | - | IEEE Access | - | 30-Jul-2021 |
| article | Hirasawa, Kaito; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, Miki | Detection of Important Scenes in Baseball Videos via Bidirectional Time Lag Aware Deep Multiset Canonical Correlation Analysis | - | IEEE Access | - | 18-Jun-2021 |
| article | Togo, Ren; Kotera, Megumi; Ogawa, Takahiro; Haseyama, Miki | Text-Guided Style Transfer-Based Image Manipulation Using Multimodal Generative Models | - | IEEE Access | - | 8-Jun-2021 |
| article | Ogawa, Naoki; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, Miki | Distress Image Retrieval for Infrastructure Maintenance via Self-Trained Deep Metric Learning Using Experts' Knowledge | - | IEEE Access | - | 5-May-2021 |
| article | Togo, Ren; Saito, Naoki; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, Miki | Rubber Material Property Prediction Using Electron Microscope Images of Internal Structures Taken under Multiple Conditions | - | Sensors | - | 16-Mar-2021 |
| article | Hirasawa, Kaito; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, Miki | Detection of Important Scenes in Baseball Videos via a Time-Lag-Aware Multimodal Variational Autoencoder | - | Sensors | - | Mar-2021 |
| article | Moroto, Yuya; Maeda, Keisuke; Ogawa, Takahiro; Haseyama, Miki | Human-Centric Emotion Estimation Based on Correlation Maximization Considering Changes With Time in Visual Attention and Brain Activity | - | IEEE Access | - | 12-Jan-2021 |
| article | Maeda, Keisuke; Horii, Kazaha; Ogawa, Takahiro; Haseyama, Miki | Multi-Task Convolutional Neural Network Leading to High Performance and Interpretability via Attribute Estimation | - | IEICE transactions on fundamentals of electronics communications and computer sciences | - | Dec-2020 |
| article | Ogawa, Takahiro; Maeda, Keisuke; Haseyama, Miki | Inpainting via Sparse Representation Based on a Phaseless Quality Metric | - | IEICE transactions on fundamentals of electronics communications and computer sciences | - | Dec-2020 |
| article (author version) | Maeda, Keisuke; Takahashi, Sho; Ogawa, Takahiro; Haseyama, Miki | Deterioration level estimation via neural network maximizing category-based ordinally supervised multi-view canonical correlation | - | Multimedia tools and applications | - | 20-Nov-2020 |
| article | Suzuki, Genki; Takahashi, Sho; Ogawa, Takahiro; Haseyama, Miki | A Method for Player Importance Prediction from Player Network Using Gaze Position Estimated by LSTM | - | ITE Transactions on Media Technology and Applications | - | 25-Aug-2020 |
| article (author version) | Togo, Ren; Watanabe, Haruna; Ogawa, Takahiro; Haseyama, Miki | Deep convolutional neural network-based anomaly detection for organ classification in gastric X-ray examination | - | Computers in biology and medicine | - | Aug-2020 |
| article | Maeda, Keisuke; Kushima, Tetsuya; Takahashi, Sho; Ogawa, Takahiro; Haseyama, Miki | Estimation of Interest Levels From Behavior Features via Tensor Completion Including Adaptive Similar User Selection | - | IEEE Access | - | 8-Jul-2020 |
| article | Kanai, Misaki; Togo, Ren; Ogawa, Takahiro; Haseyama, Miki | Chronic atrophic gastritis detection with a convolutional neural network considering stomach regions | - | World Journal of Gastroenterology (The WJG Press) | - | 7-Jul-2020 |
| article | Maeda, Keisuke; Genma, Susumu; Ogawa, Takahiro; Haseyama, Miki | Image Retrieval Based on Supervised Local Regression and Global Alignment with Relevance Feedback for Insect Identification | - | ITE Transactions on Media Technology and Applications | - | 1-Jul-2020 |
| article | Maeda, Keisuke; Ito, Yoshiki; Ogawa, Takahiro; Haseyama, Miki | Supervised Fractional-Order Embedding Geometrical Multi-View CCA (SFGMCCA) for Multiple Feature Integration | - | IEEE Access | - | 19-Jun-2020 |
| article (author version) | Li, Zongyao; Togo, Ren; Ogawa, Takahiro; Haseyama, Miki | Chronic gastritis classification using gastric X-ray images with a semi-supervised learning method based on tri-training | - | Medical & Biological Engineering & Computing | - | Jun-2020 |
