| Robust depth estimation for light field via spinning parallelogram operator S Zhang, H Sheng, C Li, J Zhang, Z Xiong Computer Vision and Image Understanding 145, 148-159, 2016 | 307 | 2016 |
| Residual networks for light field image super-resolution S Zhang, Y Lin, H Sheng Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019 | 207 | 2019 |
| A taxonomy and evaluation of dense light field depth estimation algorithms O Johannsen, K Honauer, B Goldluecke, A Alperovich, F Battisti, Y Bok, ... Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 118 | 2017 |
| Occlusion-aware depth estimation for light field using multi-orientation EPIs H Sheng, P Zhao, S Zhang, J Zhang, D Yang Pattern Recognition 74, 587-599, 2018 | 101 | 2018 |
| End-to-end light field spatial super-resolution network using multiple epipolar geometry S Zhang, S Chang, Y Lin IEEE Transactions on Image Processing 30, 5956-5968, 2021 | 79 | 2021 |
| Attention-based multi-level fusion network for light field depth estimation J Chen, S Zhang, Y Lin Proceedings of the AAAI conference on artificial intelligence 35 (2), 1009-1017, 2021 | 62 | 2021 |
| Geometric occlusion analysis in depth estimation using integral guided filter for light-field image H Sheng, S Zhang, X Cao, Y Fang, Z Xiong IEEE Transactions on Image Processing 26 (12), 5758-5771, 2017 | 41 | 2017 |
| 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 | 34 | 2023 |
| Micro-lens-based matching for scene recovery in lenslet cameras S Zhang, H Sheng, D Yang, J Zhang, Z Xiong IEEE Transactions on Image Processing 27 (3), 1060-1075, 2017 | 32 | 2017 |
| Occlusion-aware bi-directional guided network for light field salient object detection D Jing, S Zhang, R Cong, Y Lin Proceedings of the 29th ACM International Conference on Multimedia, 1692-1701, 2021 | 31 | 2021 |
| Relative location for light field saliency detection H Sheng, S Zhang, X Liu, Z Xiong 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 26 | 2016 |
| Micro-lens image stack upsampling for densely-sampled light field reconstruction S Zhang, S Chang, Z Shen, Y Lin IEEE Transactions on Computational Imaging 7, 799-811, 2021 | 25 | 2021 |
| Light field reconstruction using efficient pseudo 4d epipolar-aware structure Y Chen, S Zhang, S Chang, Y Lin IEEE Transactions on Computational Imaging 8, 397-410, 2022 | 21 | 2022 |
| Enhanced spinning parallelogram operator combining color constraint and histogram integration for robust light field depth estimation W Wang, Y Lin, S Zhang IEEE Signal Processing Letters 28, 1080-1084, 2021 | 18 | 2021 |
| Saliency analysis based on depth contrast increased H Sheng, X Liu, S Zhang 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 16 | 2016 |
| Removing Foreground Occlusions in Light Field using Micro-lens Dynamic Filter. S Zhang, Z Shen, Y Lin IJCAI, 1302-1308, 2021 | 15 | 2021 |
| 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 | 11 | 2023 |
| Multi-stream progressive restoration for low-light light field enhancement and denoising X Wang, Y Lin, S Zhang IEEE Transactions on Computational Imaging 9, 70-82, 2023 | 10 | 2023 |
| Local regression ranking for saliency detection YY Zhang, S Zhang, P Zhang, HZ Song, XG Zhang IEEE Transactions on Image Processing 29, 1536-1547, 2019 | 10 | 2019 |
| Saliency detection via background and foreground null space learning YY Zhang, S Zhang, P Zhang, XG Zhang Signal Processing: Image Communication 70, 271-281, 2019 | 10 | 2019 |
