| Deep neural network for multi-depth hologram generation and its training strategy J Lee, J Jeong, J Cho, D Yoo, B Lee, B Lee Optics Express 28 (18), 27137-27154, 2020 | 94 | 2020 |
| Holographically customized optical combiner for eye-box extended near-eye display J Jeong, J Lee, C Yoo, S Moon, B Lee, B Lee Optics Express 27 (26), 38006-38018, 2019 | 56 | 2019 |
| FinsNet: end-to-end separation of overlapped fingerprints using deep learning D Yoo, J Cho, J Lee, M Chae, B Lee, B Lee IEEE Access 8, 209020-209029, 2020 | 6 | 2020 |
| Complex hologram generation of multi-depth images using deep neural network J Lee, J Jeong, J Cho, D Yoo, B Lee 3D Image Acquisition and Display: Technology, Perception and Applications …, 2020 | 5 | 2020 |
| Deep learning in holography B Lee, J Lee, D Yoo, E Lee AI and Optical Data Sciences II 11703, 57-62, 2021 | 1 | 2021 |
| Multi-Depth Hologram Generation with Deep Neural Network Using Focal Stacks E Lee, D Yoo, J Lee, B Lee Digital Holography and Three-Dimensional Imaging, DF4C. 6, 2021 | | 2021 |
| High resolution holographic display system by holographic printer with UHD spatial light modulator J Jeong, C Yoo, J Cho, J Lee, B Lee Ultra-High-Definition Imaging Systems III 11305, 45-50, 2020 | | 2020 |
Byoungho LeeSeoul National University, Professor of School of Electrical and Computer EngineeringVerified email at snu.ac.kr
