Wenqi Ren 任文琦

Assistant Professor

State Key Laboratory of Information Security, IIE, CAS.

Email: rwq.renwenqi@gmail.com


I am now an assistant professor with State Key Laboratory of Information Security, Institute of Information Engineering, Chinese Academy of Sciences. I received my Ph.D. degree in School of Computer Science and Technology, Tianjin University. My supervisor is Prof. Xiaochun CaoDuring 2015 to 2016, I was a visiting Ph.D. student in Vision and Learning Lab at Electrical Engineering and Computer Science, University of California at Merced, working with Prof. Ming-Hsuan Yang.

My research interest includes computer vision and image processing. 


  • One image deblurring paper is accepted in TPAMI 2018.
  • One image dehazing paper is accepted in CVPR 2018.
  • Start my visiting scholar at Tencent AI Lab, Aug, 2017.
  • One video deblurring paper is accepted in ICCV 2017.
  • One image deblurring paper is accepted in CVPR 2017.
  • Report at the ECCV tutorial on "Deep Learning Meets Model Optimization and Statistical Inference" in Amsterdam, Oct. 8, 2016. 
  • One image dehazing paper is accepted in ECCV 2016.
  • One image deblurring paper is accepted in TIP 2016.
  • Start my visiting student at University of California, Merced, Sept 2015

Publications [My Google Scholar]

Learning to Deblur Images with Exemplars
Jinshan Pan*Wenqi Ren*, Zhe Hu*, and Ming-Hsuan Yang
IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI), 2018.
Recolored Image Detection via a Deep Discriminative Model 
Yanyang Yan, Wenqi Ren, and XiaochunCao
IEEE Transactions on Information Forensics and Security (TIFS), 2018.
[Paper][Project Page][Dataset]
Gated Fusion Network for Single Image Dehazing 
Wenqi Ren, Lin Ma, Jiawei Zhang, Jinshan Pan, XiaochunCao, Wei Liu and Ming-Hsuan Yang
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Salt Lake City, June 2018.
[Paper][Project Page][Code]
Video Deblurring via Semantic Segmentation and Pixel-Wise Non-Linear Kernel 
Wenqi Ren, Jinshan Pan, XiaochunCao and Ming-Hsuan Yang
IEEE International Conference on Computer Vision (ICCV), Venice, Italy, October 2017.
[Paper][Project Page]
  Image Deblurring via  Extreme Channels Prior 
Yanyang Yan, Wenqi Ren, Yuanfang Guo, Rui Wang, and Xiaochun Cao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Hawaii, July 2017.
[Paper][Project Page][Matlab Code]
Single Image Dehazing via Multi-Scale Convolutional Neural Networks
Wenqi Ren, Si Liu, Hua Zhang, 
Jinshan Pan, Xiaochun Cao, and Ming-Hsuan Yang
European Conference on Computer Vision (ECCV), Amsterdam, October 2016.
[Paper][Project Page][Matlab Code]
Image Deblurring via Enhanced Low-Rank Prior
Wenqi Ren, Xiaochun Cao, Jinshan Pan, Xiaojie Guo, Wangmeng Zuo, and Ming-Hsuan Yang
IEEE Trans. on Image Processing(TIP), 25(7), 3426-3437, 2016.
[Paper] [Project Page] [Matlab Code]
SketchNet: Sketch Classification with Web Images
Hua Zhang, Si Liu, Changqing Zhang, Wenqi Ren, Rui Wang, Xiaochun Cao
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), Las Vegas, June 2016.
Scene Text Deblurring Using Text-specific Multi-scale Dictionaries
Xiaochun Cao, Wenqi Ren, Wangmeng Zuo, Xiaojie Guo and Hassan Foroosh
IEEE Transactions on Image Processing (TIP), 24(4), 1302-1314, 2015.
Anisotropic Second and Fourth Order Diffusion Models based on Convolutional Virtual Electric Field for Image Denoising
Yuanquan Wang, Wenqi Ren and Huaibin Wang
Computer & Mathematics with Applications, 66(10): 1729-1742 (2013)

GVC-based Fourth-order Anisotropic Diffusion for Image Denoising
Wenqi Ren and Yuanquan Wang
Optics and Precision Engineering, 21(10), 2713-2719 (2013)

Image Denoising using Anisotropic Second and Fourth Order Diffusions based on Gradient    Vector Convolution
Huaibin Wang, Yuanquan Wang, Wenqi Ren
Computer Science and Information Systems, 9(4): 1493-1511(2012)

Professional Service

       IEEE Transactions on Image Processing
         IEEE Transactions on Neural Networks and Learning System
         IEEE Transactions on Circuits and Systems for Video Technology
         Computer Vision and Image Understanding
         IEEE Signal Processing Letters
         IET Image Processing
         The Visual Computer

         CVPR 2017/2018, ICCV 2017, ECCV 2018, NIPS2018, ACCV2016/2018

Computer Vision Resources


Other Resources

         Latex Math Symbols