| CNN-based classification of degraded images with awareness of degradation levels K Endo, M Tanaka, M Okutomi IEEE Transactions on Circuits and Systems for Video Technology 31 (10), 4046 …, 2020 | 16 | 2020 |
| Classifying degraded images over various levels of degradation K Endo, M Tanaka, M Okutomi 2020 IEEE International Conference on Image Processing (ICIP), 1691-1695, 2020 | 12 | 2020 |
| Cnn-based classification of degraded images K Endo, M Tanaka, M Okutomi Electronic Imaging 32, 1-7, 2020 | 7 | 2020 |
| Cnn-based classification of degraded images without sacrificing clean images K Endo, M Tanaka, M Okutomi IEEE Access 9, 116094-116104, 2021 | 5 | 2021 |
| ILIAC: Efficient classification of degraded images using knowledge distillation with cutout data augmentation D Daultani, M Tanaka, M Okutomi, K Endo Electronic Imaging 35, 1-6, 2023 | 2 | 2023 |
| Semantic Segmentation of Degraded Images Using Layer-Wise Feature Adjustor K Endo, M Tanaka, M Okutomi Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2023 | 1 | 2023 |
| Determination of Thermal Effusivity of Lunar Regolith Simulant Particle Using Thermal Microscopy R Endo, Y Suganuma, K Endo, T Nishi, H Ohta, S Tachikawa International Journal of Thermophysics 43 (7), 103, 2022 | 1 | 2022 |
| Data augmentation technique for degraded images without losing the classification ability of clean images K Endo Journal of Electronic Imaging 33 (2), 023009-023009, 2024 | | 2024 |
Masatoshi OkutomiTokyo Institute of TechnologyVerified email at ctrl.titech.ac.jp
