Dr. Shuhang Gu   


        Office: ETF C115

         Computer Vision Laboratory

        Sternwartstrasse 7, ETH Zentrum, CH - 8092 Zurich, Switzerland

        Email: shuhanggu@gmail.com

Work Experience

l    11/2017 ~ present            PostDoc, Computer Vision Lab, ETH Zurich, Switzerland


l    06/2013 ~ 09/2017              PhD, Dept. of Computing, The Hong Kong Polytechnic University(HKpolyU), Hong Kong, China. Supervisor: Lei Zhang

l    09/2010 ~ 03/2013              M.Sc.,  Institute of Pattern Recognition & Artificial Intelligence, Huazhong University of Science & Technology(HUST), Wuhan, China. Supervisor: Nong Sang

l    09/200 6~ 07/2010              B.Sc.,   School of Astronautics, Beijing University of Aeronautics and Astronautics(BUAA), Beijing, China.


Journal papers

    • J. Cai, S. Gu, L. Zhang, "Learning a Deep Single Image Contrast Enhancer from Multi-Exposure Images," in TIP 2018. (paper, code and dataset)
    • J. Jiao, Q. Yang, S. He, S. Gu, L. Zhang, "Joint Image Denoising and Disparity Estimation via Stereo Structure PCA and Noise-tolerant Cost," in IJCV 2017. (paper)
    • S. Gu, Q. Xie, D. Meng, W. Zuo, X. Feng, L. Zhang, "Weighted Nuclear Norm Minimization and Its Applications to Low Level Vision," in IJCV 2017. (paper, code_denoising, code_RPCA, code_MC)
    • W. Zuo, D. Ren, D. Zhang, S. Gu, L. Zhang, "Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution," in TIP 2016.
    • Y. Xie, S. Gu, Y. Liu, W. Zuo, W. Zhang, L. Zhang, "Weighted Schatten p-Norm Minimization for Image Denoising and Background Subtraction," in TIP 2016. (paper)

Conference papers

    • S. Gu, D. Meng, W. Zuo, L. Zhang, "Joint Convolutional Analysis and Synthesis Sparse Representation for Single Image Layer Separation," in ICCV 2017 (paper, sup)(code)
    • S. Gu, W. Zuo, S. Guo, Y. Chen, C. Chen and L. Zhang, "Learning Dynamic Guidance for Depth Image Enhancement," in CVPR 2017. (paper, code)
    • K. Zhang, W. Zuo, S. Gu and L. Zhang, "Learning Deep CNN Denoiser Prior for Image Restoration," in CVPR 2017. (paper, code)
    • K. Wang, L. Lin, W. Zuo, S. Gu and L. Zhang, "Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection," in CVPR 2016.
    • Q. Xie, Q. Zhao, D. Meng, Z. Xu, S. Gu, W. Zuo and L. Zhang, "Multispectral Images Denoising by Intrinsic Tensor Sparsity Regularization," in CVPR 2016.
    • S. Gu, W. Zuo, Q. Xie, D. Meng, X. Feng, L. Zhang. "Convolutional Sparse Coding for Image Super-resolution," in ICCV 2015. (paper, sup)
    • W. Zuo, D. Ren, S. Gu, L. Lin and L. Zhang, "Discriminative learning of iteration-wise priors for blind deconvolution," in CVPR 2015. (paper, sup)
    • S. Gu, L. Zhang, W. Zuo and X. Feng. "Projective dictionary pair learning for pattern classification." in NIPS 2014. (paper, sup, code)
    • S. Gu, L. Zhang, W. Zuo, and X. Feng, “Weighted Nuclear Norm Minimization with Application to Image Denoising,” in CVPR 2014. (paper) (sup)(code)
    • S. Gu, N. Sang, F. Ma, "Fast image super resolution via local regression," in 2012 International Conference on Pattern Recognition (ICPR2012).
    • X. Bai, S. Gu, F. Zhou, "Entropy powered image fusion based on multe scale top-hat transform,” in 2010 International Congress onImage and Signal Processing (CISP2010).

Technical Report

    • Q. Xie, D. Meng, S. Gu, L. Zhang, W. Zuo, X. Feng and Z. Xu, “On the Optimal Solution of Weighted Nuclear Norm Minimization,” Technical Report, arXiv: 1405.6012.(report)