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Jinjin GU
Jinjin GU
The University of Sydney, School of Electrical and Information Engineering
Verified email at sydney.edu.au - Homepage
Title
Cited by
Cited by
Year
ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks
X Wang, K Yu, S Wu, J Gu, Y Liu, C Dong, Y Qiao, C Change Loy
European Conference on Computer Vision (ECCV) Workshop, 2018, 63-79, 2018
23392018
Interpreting the Latent Space of GANs for Semantic Face Editing
Y Shen, J Gu, X Tang, B Zhou
Computer Vision and Pattern Recognition (CVPR), 2020, 9243-9252, 2020
6212020
Blind Super-Resolution With Iterative Kernel Correction
J Gu, H Lu, W Zuo, C Dong
Computer Vision and Pattern Recognition (CVPR), 2019, 1604-1613, 2019
2962019
Image Processing Using Multi-Code GAN Prior
J Gu, Y Shen, B Zhou
Computer Vision and Pattern Recognition (CVPR), 2020, 3012-3021, 2020
2002020
Suppressing Model Overfitting for Image Super-Resolution Networks
R Feng, J Gu, Y Qiao, C Dong
Computer Vision and Pattern Recognition (CVPR) Workshop, 2019, 1964-1973, 2019
126*2019
Pipal: a large-scale image quality assessment dataset for perceptual image restoration
J Gu, H Cai, H Chen, X Ye, J Ren, C Dong
European Conference on Computer Vision (ECCV), 2020, 633-651, 2020
65*2020
NTIRE 2022 challenge on perceptual image quality assessment
J Gu, H Cai, C Dong, JS Ren, R Timofte
Computer Vision and Pattern Recognition (CVPR) Workshop, 2022,, 951-967, 2022
502022
Rethinking Learning-based Demosaicing, Denoising, and Super-Resolution Pipeline
G Qian, Y Wang, C Dong, JS Ren, W Heidrich, B Ghanem, J Gu
International Conference on Computational Photography (ICCP), 2022, 2022
40*2022
Interpreting Super-Resolution Networks with Local Attribution Maps
J Gu, C Dong
Computer Vision and Pattern Recognition (CVPR), 2021, 9199-9208, 2021
312021
Blind image super-resolution: A survey and beyond
A Liu, Y Liu, J Gu, Y Qiao, C Dong
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2022
272022
Image quality assessment for perceptual image restoration: A new dataset, benchmark and metric
J Gu, H Cai, H Chen, X Ye, J Ren, C Dong
arXiv preprint arXiv:2011.15002, 2020
272020
Single image reflection removal using deep encoder-decoder network
Z Chi, X Wu, X Shu, J Gu
arXiv preprint arXiv:1802.00094, 2018
252018
Attention in attention network for image super-resolution
H Chen, J Gu, Z Zhang
arXiv preprint arXiv:2104.09497, 2021
222021
Super Resolution Perception for Smart Meter Data
G Liu, J Gu, J Zhao, F Wen, G Liang
Information Sciences 526, 263-273, 2020
222020
Super resolution perception for improving data completeness in smart grid state estimation
G Liang, G Liu, J Zhao, Y Liu, J Gu, G Sun, Z Dong
Engineering 6 (7), 789-800, 2020
152020
Reflash Dropout in Image Super-Resolution
X Kong, X Liu, J Gu, Y Qiao, C Dong
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
142022
Two-phase Hair Image Synthesis by Self-Enhancing Generative Model
H Qiu, C Wang, H Zhu, X Zhu, J Gu, X Han
Computer Graphics Forum 38 (7), 403-412, 2019
82019
Blueprint Separable Residual Network for Efficient Image Super-Resolution
Z Li, Y Liu, X Chen, H Cai, J Gu, Y Qiao, C Dong
Computer Vision and Pattern Recognition (CVPR) Workshop, 2022, 2022
72022
Electricity-consumption data reveals the economic impact and industry recovery during the pandemic
X Wang, C Si, J Gu, G Liu, W Liu, J Qiu, J Zhao
Scientific Reports 11 (1), 1-13, 2021
72021
Super-Resolution Perception for Industrial Sensor Data
J Gu, H Chen, G Liu, G Liang, X Wang, J Zhao
arXiv preprint arXiv:1809.06687, 2018
42018
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