Articles with public access mandates - Jinjin GULearn more
Available somewhere: 26
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
Mandates: National Natural Science Foundation of China, Research Grants Council, Hong Kong
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
Mandates: Research Grants Council, Hong Kong
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
Mandates: National Natural Science Foundation of China
Image Processing Using Multi-Code GAN Prior
J Gu, Y Shen, B Zhou
Computer Vision and Pattern Recognition (CVPR), 2020, 3012-3021, 2020
Mandates: Research Grants Council, Hong Kong
Interpreting Super-Resolution Networks with Local Attribution Maps
J Gu, C Dong
Computer Vision and Pattern Recognition (CVPR), 2021, 9199-9208, 2021
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
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
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
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
Mandates: National Natural Science Foundation of China
Dual Aggregation Transformer for Image Super-Resolution
Z Chen, Y Zhang, J Gu, L Kong, X Yang, F Yu
International Conference on Computer Vision (ICCV), 2023, 2023
Mandates: National Natural Science Foundation of China
Cross Aggregation Transformer for Image Restoration
C Zheng, Y Zhang, J Gu, Y Zhang, L Kong, X Yuan
Neural Information Processing Systems (NeurIPS), 2022, 2022
Mandates: National Natural Science Foundation of China
Reflash Dropout in Image Super-Resolution
X Kong, X Liu, J Gu, Y Qiao, C Dong
Computer Vision and Pattern Recognition (CVPR), 2022, 2022
Mandates: National Natural Science Foundation of China
Efficient Image Super-Resolution using Vast-Receptive-Field Attention
L Zhou, H Cai, J Gu, Z Li, Y Liu, X Chen, Y Qiao, C Dong
European Conference on Computer Vision (ECCV) Workshop, 2022, 2022
Mandates: National Natural Science Foundation of China
Rethinking Alignment in Video Super-Resolution Transformers
S Shi, J Gu, L Xie, X Wang, Y Yang, C Dong
Neural Information Processing Systems (NeurIPS), 2022, 2022
Mandates: National Natural Science Foundation of China
Masked Image Training for Generalizable Deep Image Denoising
H Chen, J Gu, Y Liu, SA Magid, C Dong, Q Wang, H Pfister, L Zhu
Computer Vision and Pattern Recognition (CVPR), 2023, 2023
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
AI-enabled image fraud in scientific publications
J Gu, X Wang, C Li, J Zhao, W Fu, G Liang, J Qiu
Patterns 3 (7), 2022
Mandates: National Natural Science Foundation of China
Super Resolution Perception for Smart Meter Data
G Liu, J Gu, J Zhao, F Wen, G Liang
Information Sciences 526, 263-273, 2020
Mandates: National Natural Science Foundation of China
Hierarchical Integration Diffusion Model for Realistic Image Deblurring
Z Chen, Y Zhang, D Liu, B Xia, J Gu, L Kong, X Yuan
Neural Information Processing Systems (NeurIPS), 2023, 2023
Mandates: National Natural Science Foundation of China
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
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
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), 19960, 2021
Mandates: National Natural Science Foundation of China
Evaluating the generalization ability of super-resolution networks
Y Liu, H Zhao, J Gu, Y Qiao, C Dong
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2023
Mandates: Chinese Academy of Sciences, National Natural Science Foundation of China
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