Zero-shot hyperspectral image denoising with separable image prior R Imamura, T Itasaka, M Okuda Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 44 | 2019 |
Self-supervised hyperspectral image restoration using separable image prior R Imamura, T Itasaka, M Okuda arXiv preprint arXiv:1907.00651, 2019 | 7 | 2019 |
MLF-SC: Incorporating multi-layer features to sparse coding for anomaly detection R Imamura, K Azuma, A Hanamoto, A Kanemura arXiv preprint arXiv:2104.04289, 2021 | 6 | 2021 |
Expert Human-Level Driving in Gran Turismo Sport Using Deep Reinforcement Learning with Image-based Representation R Imamura, T Seno, K Kawamoto, M Spranger Deep RL Workshop NeurIPS 2021, 2021 | 3 | 2021 |
DNN-based hyperspectral image denoising with spatio-spectral pre-training T Itasaka, R Imamura, M Okuda 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE), 568-572, 2019 | 2 | 2019 |
MOCAP signal interpolation using low-rank matrix recovery R Imamura, M Okuda 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 1 | 2018 |
PUAD: Frustratingly Simple Method for Robust Anomaly Detection S Sugawara, R Imamura arXiv preprint arXiv:2402.15143, 2024 | | 2024 |
Operation program, operation method, and operation device A Hanamoto, R Imamura US Patent App. 17/479,878, 2022 | | 2022 |
低ランク制約に基づく 3 次元 MOCAP 信号復元 今村竜二, 奥田正浩 IEICE Conferences Archives, 2019 | | 2019 |
DNN を用いたハイパースペクトル画像のゼロショット復元 今村竜二, 奥田正浩 電子情報通信学会技術研究報告= IEICE technical report: 信学技報 118 (500 …, 2019 | | 2019 |
3 次元 MOCAP 信号の補間に関する考察 (回路とシステム) 今村竜二, 奥田正浩 電子情報通信学会技術研究報告= IEICE technical report: 信学技報 118 (82), 27-31, 2018 | | 2018 |
3 次元 MOCAP 信号の補間に関する考察 今村竜二, 奥田正浩 電子情報通信学会技術研究報告; 信学技報 118 (84), 27-31, 2018 | | 2018 |