| 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 | 251 | 2017 |
| 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 | 217 | 2016 |
| 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 | 206 | 2019 |
| 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 | 191 | 2017 |
| 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 | 189 | 2015 |
| 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 | 169 | 2018 |
| 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 | 127 | 2020 |
| 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 | 113 | 2015 |
| 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 | 86 | 2021 |
| 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 | 85 | 2019 |
| 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 | 81 | 2019 |
| 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 | 65 | 2017 |
| 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 | 62 | 2021 |
| 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 | 62 | 2018 |
| 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 | 44 | 2016 |
| 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 | 39 | 2022 |
| Learnability enhancement for low-light raw denoising: Where paired real data meets noise modeling H Feng, L Wang, Y Wang, H Huang Proceedings of the 30th ACM International Conference on Multimedia, 1436-1444, 2022 | 33 | 2022 |
| 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 | 30 | 2019 |
| 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 | 25 | 2016 |
| High-Accuracy Image Formation Model for Coded Aperture Snapshot Spectral Imaging L Song, L Wang, MH Kim, H Huang IEEE Transactions on Computational Imaging 8, 188-200, 2022 | 23 | 2022 |
Zhiwei XiongUniversity of Science and Technology of ChinaDirección de correo verificada de ustc.edu.cn