Jinjin Gu

12 object(s)
 

Research

Reseach

I study computer vision, image processing. I am also interested in the interpretability of deep learning algorithms and the applications of machine learning in industrial.

Check my Google Scholar Profile for more information
* = equal contribution, and ✉ = corresponding author

Conference Publications

Interpreting Super-Resolution Networks with Local Attribution Maps.
Jinjin Gu, Chao Dong
Computer Vision and Pattern Recognition (CVPR), 2021
[PDF] [Project] [Colab Demo] [Youtube] [Bilibili]
[X-Low-Level-Vision]
[Talk 2021.3 (CN)] [Talk 2021.5 (CN)] [Talk 2021.7 (CN)]

PIPAL: a Large-Scale Image Quality Assessment Dataset for Perceptual Image Restoration.
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong.
European Conference on Computer Vision (ECCV), 2020
[PDF] [Project] [Dataset] [Extended]
[Benchmark] [Youtube] [Bilibili]
[CVPR 2021 NTIRE Challenge]

Image Processing Using Multi-Code GAN Prior.
Jinjin Gu, Yujun Shen, Bolei Zhou.
Computer Vision and Pattern Recognition (CVPR), 2020
[PDF] [Project] [Code]

Interpreting the Latent Space of GANs for Semantic Face Editing.
Yujun Shen, Jinjin Gu, Xiaoou Tang, Bolei Zhou.
Computer Vision and Pattern Recognition (CVPR), 2020
[PDF] [Project] [Code] [Video]

Blind Super-Resolution With Iterative Kernel Correction.
Jinjin Gu, Hannan Lu, Wangmeng Zuo, Chao Dong.
Computer Vision and Pattern Recognition (CVPR), 2019
[PDF] [Project]

Journal Publications

Electricity-Consumption Data Reveals the Economic Impact and Industry Recovery during the Pandemic.
Xinlei Wang*, Caomingzhe Si*, Jing Qiu, Jinjin Gu, Guolong Liu, Wenxuan Liu, Junhua Zhao.
Scientific Reports, 2021

Super Resolution Perception for Improving Data Completeness in Smart Grid State Estimation.
Gaoqi Liang, Guolong Liu, Junhua Zhao, Yanli Liu, Jinjin Gu, Guang-Zhong Sun, Zhaoyang Dong.
Engineering, Volume 6, Issue 7, Pages 789-800, July 2020
Proceedings of the Chinese Academy of Engineering
[PDF] [Dataset]

Super Resolution Perception for Smart Meter Data.
Guolong Liu, Jinjin Gu, Junhua Zhao, Fushuan Wen, Gaoqi Liang.
Information Sciences, Volume 526, Pages 263-273, July 2020
[PDF] [Dataset]

Two-phase Hair Image Synthesis by Self-Enhancing Generative Model.
Haonan Qiu, Chuan Wang, Hang Zhu, Xiangyu Zhu, Jinjin Gu, Xiaoguang Han.
Computer Graphics Forum, Volume 38 (2019), Number 7, Pages 403-412
In Proceeding Pacific Graphics (PG), 2019
[PDF] [arXiv] [Dataset]

Workshop Publications

NTIRE 2021 Challenge on Perceptual Image Quality Assessment.
Jinjin Gu, Haoming Cai, Chao Dong, Jimmy S. Ren, Shuhang Gu, Radu Timofte
Computer Vision and Pattern Recognition Workshop (CVPRW), 2021
[PDF] [Challenge]
[Talk]

Suppressing Model Overfitting for Image Super-Resolution Networks.
Ruicheng Feng, Jinjin Gu, Chao Dong, Yu Qiao.
Computer Vision and Pattern Recognition Workshop (CVPRW), 2019
Winner, in the NTIRE Real-Image SR Challenge, CVPR
[PDF] [Challenge] [Challenge Report]

ESRGAN: Enhanced Super-Resolution Generative Adversarial Networks.
Xintao Wang, Ke Yu, Shixiang Wu, Jinjin Gu, Yihao Liu, Chao Dong, Yu Qiao, Chen Change Loy.
European Conference on Computer Vision Workshop (ECCVW), 2018
Champion, Region 3 in the PIRM2018-SR Challenge, ECCV
[PDF] [Code] [Challenge]

Technical Reports

Discovering “Semantics” in Super-Resolution Networks.
Yihao Liu*, Anran Liu*, Jinjin Gu, Zhipeng Zhang, Wenhao Wu, Yu Qiao, Chao Dong .
[arXiv] [Project]
[X-Low-Level-Vision]

Blind Image Super-Resolution: A Survey and Beyond.
Anran Liu, Yihao Liu, Jinjin Gu, Yu Qiao, Chao Dong.
[arXiv]

Image Quality Assessment for Perceptual Image Restoration: A New Dataset, Benchmark and Metric.
Jinjin Gu, Haoming Cai, Haoyu Chen, Xiaoxing Ye, Jimmy S. Ren, Chao Dong.
[arXiv]

Rethinking the Pipeline of Demosaicing, Denoising and Super-Resolution.
Guocheng Qian*, Yuanhao Wang*, Chao Dong, Jimmy S. Ren, Wolfgang Heidrich, Bernard Ghanem, Jinjin Gu
[arXiv] [Code] [Dataset]

Super-Resolution Perception of Industrial Sensor Data.
Jinjin Gu, Haoyu Chen, Guolong Liu, Gaoqi Liang, Xinlei Wang, Junhua Zhao
[arXiv] [Dataset]

Single Image Reflection Removal Using Deep Encoder-Decoder Network.
Zhixiang Chi, Xiaolin Wu, Xiao Shu, Jinjin Gu
[arXiv]

Research Projects

SenseSR - Intelligent Photography Solution for Mobile Devices.
Research at Sensetime Research, 2018
Denoising and super-resolution of multiple unaligned observation pictures with unknown noise and unknown blur under the limited computing conditions and time constraints on mobile devices.
[Technology] [Product] [Media Coverage (CN)]




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