| Pseudo-sequence-based light field image compression D Liu, L Wang, L Li, Z Xiong, F Wu, W Zeng 2016 IEEE International Conference on Multimedia & Expo Workshops (ICMEW), 1-4, 2016 | 203 | 2016 |
| Hscnn: Cnn-based hyperspectral image recovery from spectrally undersampled projections Z Xiong, Z Shi, H Li, L Wang, D Liu, F Wu Proceedings of the IEEE International Conference on Computer Vision …, 2017 | 202 | 2017 |
| Hyperspectral image reconstruction using a deep spatial-spectral prior L Wang, C Sun, Y Fu, MH Kim, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 165 | 2019 |
| Dual-camera design for coded aperture snapshot spectral imaging L Wang, Z Xiong, D Gao, G Shi, F Wu Applied Optics 54 (4), 848-858, 2015 | 163 | 2015 |
| Adaptive Nonlocal Sparse Representation for Dual-Camera Compressive Hyperspectral Imaging L Wang, Z Xiong, G Shi, F Wu, W Zeng IEEE transactions on pattern analysis and machine intelligence 39 (1), 2104 …, 2017 | 155 | 2017 |
| Hyperreconnet: Joint coded aperture optimization and image reconstruction for compressive hyperspectral imaging L Wang, T Zhang, Y Fu, H Huang IEEE Transactions on Image Processing 28 (5), 2257-2270, 2018 | 144 | 2018 |
| High-speed hyperspectral video acquisition with a dual-camera architecture L Wang, Z Xiong, D Gao, G Shi, W Zeng, F Wu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2015 | 102 | 2015 |
| Dnu: Deep non-local unrolling for computational spectral imaging L Wang, C Sun, M Zhang, Y Fu, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 92 | 2020 |
| Hyperspectral image reconstruction using deep external and internal learning T Zhang, Y Fu, L Wang, H Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 69 | 2019 |
| Computational hyperspectral imaging based on dimension-discriminative low-rank tensor recovery S Zhang, L Wang, Y Fu, X Zhong, H Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 65 | 2019 |
| Coded hyperspectral image reconstruction using deep external and internal learning Y Fu, T Zhang, L Wang, H Huang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (7), 3404-3420, 2021 | 59 | 2021 |
| Snapshot hyperspectral light field imaging Z Xiong, L Wang, H Li, D Liu, F Wu Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2017 | 55 | 2017 |
| High-speed hyperspectral video acquisition by combining nyquist and compressive sampling L Wang, Z Xiong, H Huang, G Shi, F Wu, W Zeng IEEE transactions on pattern analysis and machine intelligence 41 (4), 857-870, 2018 | 48 | 2018 |
| Learning tensor low-rank prior for hyperspectral image reconstruction S Zhang, L Wang, L Zhang, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021 | 41 | 2021 |
| Simultaneous depth and spectral imaging with a cross-modal stereo system L Wang, Z Xiong, G Shi, W Zeng, F Wu IEEE Transactions on Circuits and Systems for Video Technology 28 (3), 812-817, 2016 | 36 | 2016 |
| Spectral-depth imaging with deep learning based reconstruction M Yao, Z Xiong, L Wang, D Liu, X Chen Optics express 27 (26), 38312-38325, 2019 | 26 | 2019 |
| PIRM2018 challenge on spectral image super-resolution: methods and results M Shoeiby, A Robles-Kelly, R Timofte, R Zhou, F Lahoud, S Susstrunk, ... Proceedings of the European Conference on Computer Vision (ECCV) Workshops, 0-0, 2018 | 19 | 2018 |
| Compressive hyperspectral imaging with complementary RGB measurements L Wang, Z Xiong, G Shi, W Zeng, F Wu 2016 Visual Communications and Image Processing (VCIP), 1-4, 2016 | 19 | 2016 |
| Joint low rank embedded multiple features learning for audio–visual emotion recognition Z Wang, L Wang, H Huang Neurocomputing 388, 324-333, 2020 | 17 | 2020 |
| Quantization-aware deep optics for diffractive snapshot hyperspectral imaging L Li, L Wang, W Song, L Zhang, Z Xiong, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2022 | 14 | 2022 |
Zhiwei XiongUniversity of Science and Technology of China在 ustc.edu.cn 的电子邮件经过验证
