| Covariance-aware Feature Alignment with Pre-computed Source Statistics for Test-time Adaptation to Multiple Image Corruptions K Adachi, S Yamaguchi, A Kumagai 2023 IEEE International Conference on Image Processing (ICIP), 800-804, 2023 | 4 | 2023 |
| Fast regularized discrete optimal transport with group-sparse regularizers Y Ida, S Kanai, K Adachi, A Kumagai, Y Fujiwara Proceedings of the AAAI Conference on Artificial Intelligence 37 (7), 7980-7987, 2023 | 1 | 2023 |
| Test-time Adaptation Meets Image Enhancement: Improving Accuracy via Uncertainty-aware Logit Switching S Enomoto, N Hasegawa, K Adachi, T Sasaki, S Yamaguchi, S Suzuki, ... arXiv preprint arXiv:2403.17423, 2024 | | 2024 |
| Test-time Similarity Modification for Person Re-identification toward Temporal Distribution Shift K Adachi, S Enomoto, T Sasaki, S Yamaguchi arXiv preprint arXiv:2403.14114, 2024 | | 2024 |
| Adaptive Random Feature Regularization on Fine-tuning Deep Neural Networks S Yamaguchi, S Kanai, K Adachi, D Chijiwa arXiv preprint arXiv:2403.10097, 2024 | | 2024 |
| Learning Robust Convolutional Neural Networks with Relevant Feature Focusing Via Explanations K Adachi, S Yamaguchi 2022 IEEE International Conference on Multimedia and Expo (ICME), 1-6, 2022 | | 2022 |
| Improving Accuracy on Biased Datasets via Explanations of Deep Neural Networks K Adachi, S Yamaguchi IEICE Technical Report; IEICE Tech. Rep. 120 (409), 139-144, 2021 | | 2021 |
| 注目領域に基づいた CNN の特徴マップに対する正則化 足立一樹， 濱上知樹 電子情報通信学会論文誌 D 102 (3), 185-193, 2019 | | 2019 |
| CNN における事前知識を利用した学習方法の検討 足立一樹， 濱上知樹 電気学会研究会資料. ST/システム研究会 [編] 2018 (85-102・104-118), 53-58, 2018 | | 2018 |
| 生殖医療支援を目的とした顕微鏡動画像における精子検出 佐々木勇人， 足立一樹， 濱上知樹， 山本みずき， 竹島徹平， 湯村寧 IEICE Conferences Archives, 2017 | | 2017 |
| 転移学習による Deep Q-Network の学習高速化に向けた検討 足立一樹， 佐々木勇人， 中田雅也， 濱津文哉， 濱上知樹 第 79 回全国大会講演論文集 2017 (1), 217-218, 2017 | | 2017 |
