| 2026 | ICPRAM | SwapPF: Correcting HPE Left-Right Swaps for Gait Analysis Using Particle Filters. | Kosuke Aoyagi, Miho Adachi, Hiroyuki Yomo, Ryusuke Miyamoto |
| 2025 | DSN | Effect of Human-Selected Hard Examples to Improve Accuracy of Semantic Segmentation. | Yuriko Ueda, Marin Wada, Miho Adachi, Ryusuke Miyamoto |
| 2024 | CoDIT | Area-wise Augmentation on Segmentation Datasets from 3D Scanned Data Used for Visual Navigation. | Marin Wada, Yuriko Ueda, Miho Adachi, Ryusuke Miyamoto |
| 2024 | Tencon | Score Calculation with Local and Global Features for Visual Place Recognition. | Iori Ikeda, Miho Adachi, Ryusuke Miyamoto |
| 2023 | CoDIT | Improvement of Visual Odometry Based on Robust Feature Extraction Considering Semantics. | Miho Adachi, Junfeng Xue, Kazufumi Honda, Marin Wada, Ryusuke Miyamoto |
| 2023 | CoDIT | Dataset Genreratoin for Semantic Segmentation from 3D Scanned Data Considering Domain Gap. | Marin Wada, Miho Adachi, Yuriko Ueda, Ryusuke Miyamoto |
| 2022 | CoDIT | Improvement of Visual Odometry Using Classic Features by Semantic Information. | Miho Adachi, Hiroki Ishida, Ryusuke Miyamoto |
| 2022 | SMC | Accuracy Improvement of Semantic Segmentation Trained with Data Generated from a 3D Model by Histogram Matching Using Suitable References. | Miho Adachi, Hayato Komatsuzaki, Marin Wada, Ryusuke Miyamoto |
| 2020 | SMC | Model-Based Estimation of Road Direction in Urban Scenes Using Virtual LiDAR Signals. | Miho Adachi, Ryusuke Miyamoto |
| 2019 | CoDIT | Accuracy Improvement of Semantic Segmentation Using Appropriate Datasets for Robot Navigation. | Ryusuke Miyamoto, Miho Adachi, Yuta Nakamura, Takeshi Nakajima, Hiroki Ishida, Shingo Kobayashi |
| 2019 | ICVS | Intersection Recognition Using Results of Semantic Segmentation for Visual Navigation. | Hiroki Ishida, Kouchi Matsutani, Miho Adachi, Shingo Kobayashi, Ryusuke Miyamoto |