Ding Liu
Ding Liu
ByteDance
Verified email at bytedance.com
Title
Cited by
Cited by
Year
Understanding convolution for semantic segmentation
P Wang, P Chen, Y Yuan, D Liu, Z Huang, X Hou, G Cottrell
2018 IEEE Winter Conference on Applications of Computer Vision (WACV), 1451-1460, 2018
9652018
Ntire 2017 challenge on single image super-resolution: Methods and results
R Timofte, E Agustsson, L Van Gool, MH Yang, L Zhang, B Lim, S Son, ...
Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017
8242017
Deep networks for image super-resolution with sparse prior
Z Wang, D Liu, J Yang, W Han, T Huang
Proceedings of the IEEE International Conference on Computer Vision, 370-378, 2015
7342015
Non-local recurrent network for image restoration
D Liu, B Wen, Y Fan, CC Loy, TS Huang
Advances in Neural Information Processing Systems 31, 1673-1682, 2018
3212018
Robust Single Image Super-Resolution via Deep Networks With Sparse Prior
D Liu, Z Wang, B Wen, J Yang, W Han, TS Huang
IEEE Transactions on Image Processing 25 (7), 3194-3207, 2016
2252016
Enlightengan: Deep light enhancement without paired supervision
Y Jiang, X Gong, D Liu, Y Cheng, C Fang, X Shen, J Yang, P Zhou, ...
IEEE Transactions on Image Processing 30, 2340-2349, 2021
2202021
Studying very low resolution recognition using deep networks
Z Wang, S Chang, Y Yang, D Liu, TS Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
2002016
D3: Deep dual-domain based fast restoration of JPEG-compressed images
Z Wang, D Liu, S Chang, Q Ling, Y Yang, TS Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2016
1692016
Robust video super-resolution with learned temporal dynamics
D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, T Huang
Computer Vision (ICCV), 2017 IEEE International Conference on, 2526-2534, 2017
1642017
Image super-resolution via dual-state recurrent networks
W Han, S Chang, D Liu, M Yu, M Witbrock, TS Huang
Proceedings of the IEEE Conference on Computer Vision and Pattern …, 2018
1442018
When image denoising meets high-level vision tasks: A deep learning approach
D Liu, B Wen, X Liu, Z Wang, TS Huang
arXiv preprint arXiv:1706.04284, 2017
1362017
Experiments on deep learning for speech denoising.
D Liu, P Smaragdis, M Kim
INTERSPEECH, 2685-2689, 2014
1072014
Image aesthetics assessment using Deep Chatterjee's machine
Z Wang, D Liu, S Chang, F Dolcos, D Beck, T Huang
2017 International Joint Conference on Neural Networks (IJCNN), 941-948, 2017
100*2017
Balanced two-stage residual networks for image super-resolution
Y Fan, H Shi, J Yu, D Liu, W Han, H Yu, Z Wang, X Wang, TS Huang
Computer Vision and Pattern Recognition Workshops (CVPRW), 2017 IEEE …, 2017
672017
Learning Temporal Dynamics for Video Super-Resolution: A Deep Learning Approach
D Liu, Z Wang, Y Fan, X Liu, Z Wang, S Chang, X Wang, TS Huang
IEEE Transactions on Image Processing 27 (7), 3432-3445, 2018
562018
Connecting image denoising and high-level vision tasks via deep learning
D Liu, B Wen, J Jiao, X Liu, Z Wang, TS Huang
IEEE Transactions on Image Processing 29, 3695-3706, 2020
542020
Improving Object Detection from Scratch via Gated Feature Reuse
Z Shen, H Shi, J Yu, H Phan, R Feris, L Cao, D Liu, X Wang, T Huang, ...
BMVC, 2019
51*2019
Survey of Face Detection on Low-quality Images
Y Zhou, D Liu, T Huang
2018 13th IEEE International Conference on Automatic Face & Gesture …, 2018
462018
Computed tomography super-resolution using convolutional neural networks
H Yu, D Liu, H Shi, H Yu, Z Wang, X Wang, B Cross, M Bramler, TS Huang
2017 IEEE International Conference on Image Processing (ICIP), 3944-3948, 2017
362017
Pyramid Attention Networks for Image Restoration
Y Mei, Y Fan, Y Zhang, J Yu, Y Zhou, D Liu, Y Fu, TS Huang, H Shi
arXiv preprint arXiv:2004.13824, 2020
352020
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