| Privacy-preserving deep neural networks with pixel-based image encryption considering data augmentation in the encrypted domain W Sirichotedumrong, T Maekawa, Y Kinoshita, H Kiya 2019 IEEE International Conference on Image Processing (ICIP), 674-678, 2019 | 115 | 2019 |
| Pixel-based image encryption without key management for privacy-preserving deep neural networks W Sirichotedumrong, Y Kinoshita, H Kiya Ieee Access 7, 177844-177855, 2019 | 100 | 2019 |
| Scene segmentation-based luminance adjustment for multi-exposure image fusion Y Kinoshita, H Kiya IEEE Transactions on Image Processing 28 (8), 4101-4116, 2019 | 62 | 2019 |
| An overview of compressible and learnable image transformation with secret key and its applications H Kiya, APM Maung, Y Kinoshita, S Imaizumi, S Shiota APSIPA Transactions on Signal and Information Processing 11 (1), 2022 | 48 | 2022 |
| Image to perturbation: An image transformation network for generating visually protected images for privacy-preserving deep neural networks H Ito, Y Kinoshita, M Aprilpyone, H Kiya IEEE Access 9, 64629-64638, 2021 | 43 | 2021 |
| Fast inverse tone mapping with Reinhard's global operator Y Kinoshita, S Shiota, H Kiya 2017 IEEE International Conference on Acoustics, Speech and Signal …, 2017 | 31 | 2017 |
| A privacy-preserving machine learning scheme using etc images A Kawamura, Y Kinoshita, T Nakachi, S Shiota, H Kiya IEICE Transactions on Fundamentals of Electronics, Communications and …, 2020 | 29 | 2020 |
| ITM-Net: Deep inverse tone mapping using novel loss function considering tone mapping operator Y Kinoshita, H Kiya IEEE Access 7, 73555-73563, 2019 | 29 | 2019 |
| Automatic exposure compensation using an image segmentation method for single-image-based multi-exposure fusion Y Kinoshita, H Kiya APSIPA Transactions on Signal and Information Processing 7, e22, 2018 | 27 | 2018 |
| Hue-correction scheme based on constant-hue plane for deep-learning-based color-image enhancement Y Kinoshita, H Kiya IEEE Access 8, 9540-9550, 2020 | 25 | 2020 |
| Fixed smooth convolutional layer for avoiding checkerboard artifacts in cnns Y Kinoshita, H Kiya ICASSP 2020-2020 IEEE International Conference on Acoustics, Speech and …, 2020 | 24 | 2020 |
| Adversarial robustness by one bit double quantization for visual classification M Aprilpyone, Y Kinoshita, H Kiya IEEE Access 7, 177932-177943, 2019 | 22 | 2019 |
| Automatic exposure compensation for multi-exposure image fusion Y Kinoshita, S Shiota, H Kiya 2018 25th IEEE International Conference on Image Processing (ICIP), 883-887, 2018 | 21 | 2018 |
| Image transformation network for privacy-preserving deep neural networks and its security evaluation H Ito, Y Kinoshita, H Kiya 2020 IEEE 9th Global Conference on Consumer Electronics (GCCE), 822-825, 2020 | 20 | 2020 |
| On the security of pixel-based image encryption for privacy-preserving deep neural networks W Sirichotedumrong, Y Kinoshita, H Kiya 2019 IEEE 8th Global Conference on Consumer Electronics (GCCE), 121-124, 2019 | 20 | 2019 |
| Privacy-preserving svm computing in the encrypted domain T Maekawa, A Kawamura, Y Kinoshita, H Kiya 2018 Asia-Pacific Signal and Information Processing Association Annual …, 2018 | 20 | 2018 |
| Pseudo multi-exposure fusion using a single image Y Kinoshita, T Yoshida, S Shiota, H Kiya 2017 Asia-Pacific Signal and Information Processing Association Annual …, 2017 | 20 | 2017 |
| An remapping operation without tone mapping parameters for hdr images Y Kinoshita, S Shiota, M Iwahashi, H Kiya IEICE Transactions on Fundamentals of Electronics, Communications and …, 2016 | 20 | 2016 |
| Privacy-preserving image classification using vision transformer Z Qi, AP MaungMaung, Y Kinoshita, H Kiya 2022 30th European Signal Processing Conference (EUSIPCO), 543-547, 2022 | 19 | 2022 |
| Convolutional neural networks considering local and global features for image enhancement Y Kinoshita, H Kiya 2019 IEEE International Conference on Image Processing (ICIP), 2110-2114, 2019 | 19 | 2019 |
Hitoshi KiyaProfessor Emeritus, Tokyo Metropolitan UniversityVerifierad e-postadress på tmu.ac.jp
