| SAR ship detection dataset (SSDD): Official release and comprehensive data analysis T Zhang, X Zhang, J Li, X Xu, B Wang, X Zhan, Y Xu, X Ke, T Zeng, H Su, ... Remote Sensing 13 (18), 3690, 2021 | 245 | 2021 |
| Deep learning for digital holography: a review T Zeng, Y Zhu, EY Lam Optics express 29 (24), 40572-40593, 2021 | 87 | 2021 |
| RedCap: residual encoder-decoder capsule network for holographic image reconstruction T Zeng, HKH So, EY Lam Optics Express 28 (4), 4876-4887, 2020 | 41 | 2020 |
| Computational image speckle suppression using block matching and machine learning T Zeng, HKH So, EY Lam Applied optics 58 (7), B39-B45, 2019 | 37 | 2019 |
| A group-wise feature enhancement-and-fusion network with dual-polarization feature enrichment for SAR ship detection X Xu, X Zhang, Z Shao, J Shi, S Wei, T Zhang, T Zeng Remote Sensing 14 (20), 5276, 2022 | 35 | 2022 |
| Full scene underwater imaging with polarization and an untrained network Y Zhu, T Zeng, K Liu, Z Ren, EY Lam Optics Express 29 (25), 41865-41881, 2021 | 26 | 2021 |
| RBFA-net: a rotated balanced feature-aligned network for rotated SAR ship detection and classification Z Shao, X Zhang, T Zhang, X Xu, T Zeng Remote Sensing 14 (14), 3345, 2022 | 23 | 2022 |
| Robust reconstruction with deep learning to handle model mismatch in lensless imaging T Zeng, EY Lam IEEE Transactions on Computational Imaging 7, 1080-1092, 2021 | 22 | 2021 |
| LightGAN: A deep generative model for light field reconstruction N Meng, Z Ge, T Zeng, EY Lam IEEE Access 8, 116052-116063, 2020 | 17 | 2020 |
| Synthetic aperture radar (SAR) meets deep learning T Zhang, T Zeng, X Zhang Remote Sensing 15 (2), 303, 2023 | 13 | 2023 |
| Spatial and angular reconstruction of light field based on deep generative networks N Meng, T Zeng, EY Lam 2019 IEEE International Conference on Image Processing (ICIP), 4659-4663, 2019 | 11 | 2019 |
| Digital holographic imaging via deep learning Z Ren, T Zeng, EY Lam Computational Optical Sensing and Imaging, CTu3A. 4, 2019 | 10 | 2019 |
| Model-based network architecture for image reconstruction in lensless imaging T Zeng, EY Lam Holography, Diffractive Optics, and Applications X 11551, 28-33, 2020 | 9 | 2020 |
| Speckle suppression using the convolutional neural network with an exponential linear unit T Zeng, Z Ren, EY Lam Computational Optical Sensing and Imaging, CW5B. 3, 2018 | 9 | 2018 |
| Scale in scale for SAR ship instance segmentation Z Shao, X Zhang, S Wei, J Shi, X Ke, X Xu, X Zhan, T Zhang, T Zeng Remote Sensing 15 (3), 629, 2023 | 6 | 2023 |
| Shadow-Enhanced Self-Attention and Anchor-Adaptive Network for Video SAR Moving Target Tracking J Bao, X Zhang, T Zhang, T Zeng, Z Yang, X Zhan, J Shi, S Wei IEEE Transactions on Geoscience and Remote Sensing 61, 1-13, 2023 | 5 | 2023 |
| Lensless sensing using the event sensor Z Ge, T Zeng, EY Lam Imaging Systems and Applications, ITu6B. 5, 2021 | 5 | 2021 |
| Image fusion using laplacian pyramid transform T Zeng, R Hu, Y He, Y Wang Rutgers, 2014 | 5 | 2014 |
| Perceptual loss for light field reconstruction in high-dimensional convolutional neural networks N Meng, T Zeng, EY Lam Computational Optical Sensing and Imaging, CW1A. 5, 2019 | 4 | 2019 |
| On the relationship between trial-to-trial response time variability and fNIRS-based functional connectivity T Zeng, L Zhu, Y Wang, L Najafizadeh Clinical and Translational Biophotonics, JW3A. 41, 2016 | 4 | 2016 |
Edmund LamProfessor in Electrical and Electronic Engineering, The University of Hong KongVerified email at eee.hku.hk
