Jinjin GU
Jinjin GU
School of Electrical and Information Engineering, The University of Sydney
在 sydney.edu.au 的电子邮件经过验证 - 首页
标题
引用次数
引用次数
年份
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
12092018
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, 2019
2362019
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
1302019
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
85*2019
Image Processing Using Multi-Code GAN Prior
J Gu, Y Shen, B Zhou
Computer Vision and Pattern Recognition (CVPR), 2020, 3012-3021, 2019
732019
Rethinking the Pipeline of Demosaicing, Denoising and Super-Resolution
G Qian, Y Wang, C Dong, JS Ren, W Heidrich, B Ghanem, J Gu
arXiv preprint arXiv:1905.02538, 2019
19*2019
Single image reflection removal using deep encoder-decoder network
Z Chi, X Wu, X Shu, J Gu
arXiv preprint arXiv:1802.00094, 2018
192018
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
17*2020
NTIRE 2021 challenge on perceptual image quality assessment
J Gu, H Cai, C Dong, JS Ren, Y Qiao, S Gu, R Timofte, M Cheon, S Yoon, ...
Computer Vision and Pattern Recognition (CVPR) Workshop, 2021, 2021
152021
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
102020
Super Resolution Perception for Smart Meter Data
G Liu, J Gu, J Zhao, F Wen, G Liang
Information Sciences 526, 263-273, 2020
92020
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
62020
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
42019
Interpreting Super-Resolution Networks with Local Attribution Maps
J Gu, C Dong
Computer Vision and Pattern Recognition (CVPR), 2021, 9199-9208, 2020
32020
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
32018
Blind Image Super-Resolution: A Survey and Beyond
A Liu, Y Liu, J Gu, Y Qiao, C Dong
arXiv preprint arXiv:2107.03055, 2021
12021
Discovering" Semantics" in Super-Resolution Networks
Y Liu, A Liu, J Gu, Z Zhang, W Wu, Y Qiao, C Dong
arXiv preprint arXiv:2108.00406, 2021
2021
Attention in Attention Network for Image Super-Resolution
H Chen, J Gu, Z Zhang
arXiv preprint arXiv:2104.09497, 2021
2021
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