Volgen
Ying Fu
Ying Fu
Geverifieerd e-mailadres voor bit.edu.cn - Homepage
Titel
Geciteerd door
Geciteerd door
Jaar
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
1872021
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
1822020
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
1602019
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
1542019
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
1502020
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
1502019
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
1402018
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
992021
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
972020
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
942016
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
892020
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
822019
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
692019
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
632019
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
592018
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
582021
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
582017
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
572021
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
542021
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
532020
Het systeem kan de bewerking nu niet uitvoeren. Probeer het later opnieuw.
Artikelen 1–20