Light field image super-resolution with transformers Z Liang, Y Wang, L Wang, J Yang, S Zhou IEEE Signal Processing Letters 29, 563-567, 2022 | 92 | 2022 |
Occlusion-aware cost constructor for light field depth estimation Y Wang, L Wang, Z Liang, J Yang, W An, Y Guo Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022 | 71 | 2022 |
Learning non-local spatial-angular correlation for light field image super-resolution Z Liang, Y Wang, L Wang, J Yang, S Zhou, Y Guo Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2023 | 33 | 2023 |
NTIRE 2023 challenge on light field image super-resolution: Dataset, methods and results Y Wang, L Wang, Z Liang, J Yang, R Timofte, Y Guo, K Jin, Z Wei, A Yang, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 30 | 2023 |
Real-world light field image super-resolution via degradation modulation Y Wang, Z Liang, L Wang, J Yang, W An, Y Guo IEEE Transactions on Neural Networks and Learning Systems, 2024 | 19* | 2024 |
Lfnat 2023 challenge on light field depth estimation: Methods and results H Sheng, Y Liu, J Yu, G Wu, W Xiong, R Cong, R Chen, L Guo, Y Xie, ... Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023 | 10 | 2023 |
Angular‐flexible network for light field image super‐resolution Z Liang, Y Wang, L Wang, J Yang, S Zhou Electronics Letters 57 (24), 921-924, 2021 | 5 | 2021 |
Not all patches are equal: Hierarchical dataset condensation for single image super-resolution Q Ding, Z Liang, L Wang, Y Wang, J Yang IEEE Signal Processing Letters, 2023 | 1 | 2023 |