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 | 228 | 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 | 217 | 2021 |
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 | 191 | 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 | 181 | 2020 |
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 | 181 | 2019 |
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 | 179 | 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 | 156 | 2018 |
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 | 140 | 2021 |
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 | 116 | 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 | 106 | 2016 |
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 | 105 | 2020 |
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 | 93 | 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 | 80 | 2019 |
LE-GAN: Unsupervised low-light image enhancement network using attention module and identity invariant loss Y Fu, Y Hong, L Chen, S You Knowledge-Based Systems 240, 108010, 2022 | 79 | 2022 |
Physics-based noise modeling for extreme low-light photography K Wei, Y Fu, Y Zheng, J Yang IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 8520 …, 2021 | 78 | 2021 |
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 | 76 | 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 | 74 | 2021 |
Easyquant: Post-training quantization via scale optimization D Wu, Q Tang, Y Zhao, M Zhang, Y Fu, D Zhang arXiv preprint arXiv:2006.16669, 2020 | 70 | 2020 |
Bidirectional 3D quasi-recurrent neural network for hyperspectral image super-resolution Y Fu, Z Liang, S You IEEE Journal of Selected Topics in Applied Earth Observations and Remote …, 2021 | 65 | 2021 |
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 | 64 | 2018 |