| Ddunet: Dense dense u-net with applications in image denoising F Jia, WH Wong, T Zeng Proceedings of the IEEE/CVF international conference on computer vision, 354-364, 2021 | 60 | 2021 |
| A regularized convolutional neural network for semantic image segmentation F Jia, J Liu, XC Tai Analysis and Applications 19 (01), 147-165, 2021 | 54 | 2021 |
| A reflectance re-weighted retinex model for non-uniform and low-light image enhancement F Jia, HS Wong, T Wang, T Zeng Pattern Recognition 144, 109823, 2023 | 18 | 2023 |
| Pixel-attention CNN with color correlation loss for color image denoising F Jia, L Ma, Y Yang, T Zeng IEEE Signal Processing Letters 28, 1600-1604, 2021 | 13 | 2021 |
| Nonlocal regularized CNN for image segmentation F Jia, XC Tai, J Liu Inverse Problems & Imaging 14 (5), 891-911, 2020 | 13 | 2020 |
| Regularized UNet for automated Pancreas segmentation J Fan, X Tai Proceedings of the Third International Symposium on Image Computing and …, 2019 | 5 | 2019 |
| A variational model for nonuniform low-light image enhancement F Jia, S Mao, XC Tai, T Zeng SIAM Journal on Imaging Sciences 17 (1), 1-30, 2024 | 2 | 2024 |
| Detachable image decomposition and illumination mapping search for low-light image enhancement F Jia, S Mao, Z Huang, T Zeng Journal of Computational and Applied Mathematics 436, 115435, 2024 | 2 | 2024 |
| Low-light Image Enhancement via Dual Reflectance Estimation F Jia, T Wang, T Zeng Journal of Scientific Computing 98 (2), 36, 2024 | 1 | 2024 |
| Super-resolving Real-world Image Illumination Enhancement: A New Dataset and A Conditional Diffusion Model Y Liu, Y Liu, J Pan, Y Hui, F Jia, RH Chan, T Zeng arXiv preprint arXiv:2410.12961, 2024 | | 2024 |
| Regularized neural networks for semantic image segmentation F Jia Hong Kong Baptist University, 2020 | | 2020 |
