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 | 114 | 2019 |
Single image reflection removal exploiting misaligned training data and network enhancements K Wei, J Yang, Y Fu, D Wipf, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 108 | 2019 |
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 | 104 | 2018 |
A physics-based noise formation model for extreme low-light raw denoising K Wei, Y Fu, J Yang, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 101 | 2020 |
Partial fc: Training 10 million identities on a single machine X An, X Zhu, Y Gao, Y Xiao, Y Zhao, Z Feng, L Wu, B Qin, M Zhang, ... Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 94 | 2021 |
Incremental learning using conditional adversarial networks Y Xiang, Y Fu, P Ji, H Huang Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019 | 85 | 2019 |
3-D quasi-recurrent neural network for hyperspectral image denoising K Wei, Y Fu, H Huang IEEE transactions on neural networks and learning systems 32 (1), 363-375, 2020 | 74 | 2020 |
Tuning-free plug-and-play proximal algorithm for inverse imaging problems K Wei, A Aviles-Rivero, J Liang, Y Fu, CB Schönlieb, H Huang International Conference on Machine Learning, 10158-10169, 2020 | 70 | 2020 |
Exploiting spectral-spatial correlation for coded hyperspectral image restoration Y Fu, Y Zheng, I Sato, Y Sato Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016 | 70 | 2016 |
Hyperspectral image super-resolution with optimized RGB guidance Y Fu, T Zhang, Y Zheng, D Zhang, H Huang Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 56 | 2019 |
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 | 51 | 2020 |
Joint camera spectral sensitivity selection and hyperspectral image recovery Y Fu, T Zhang, Y Zheng, D Zhang, H Huang Proceedings of the European Conference on Computer Vision (ECCV), 788-804, 2018 | 49 | 2018 |
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 | 48 | 2019 |
Adaptive spatial-spectral dictionary learning for hyperspectral image restoration Y Fu, A Lam, I Sato, Y Sato International Journal of Computer Vision 122, 228-245, 2017 | 45 | 2017 |
Learning temporal consistency for low light video enhancement from single images F Zhang, Y Li, S You, Y Fu Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2021 | 39 | 2021 |
Separating reflective and fluorescent components using high frequency illumination in the spectral domain Y Fu, A Lam, I Sato, T Okabe, Y Sato Proceedings of the IEEE International Conference on Computer Vision, 457-464, 2013 | 39 | 2013 |
Spectral reflectance recovery from a single RGB image Y Fu, Y Zheng, L Zhang, H Huang IEEE Transactions on Computational Imaging 4 (3), 382-394, 2018 | 36 | 2018 |
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 | 33 | 2019 |
Hyperspectral image super-resolution with a mosaic RGB image Y Fu, Y Zheng, H Huang, I Sato, Y Sato IEEE Transactions on Image Processing 27 (11), 5539-5552, 2018 | 32 | 2018 |
Adaptive spatial-spectral dictionary learning for hyperspectral image denoising Y Fu, A Lam, I Sato, Y Sato Proceedings of the IEEE International Conference on Computer Vision, 343-351, 2015 | 31 | 2015 |