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       Shuhang Gu   PhD Candidate

        Department of Computing 
        The Hong Kong Polytechnic University

        Hung Hom, Kowloon, Hong Kong

        Supervisor: Zhang Lei

        Office: PQ 719

        Email: shuhanggu@gmail.com


Education

l    06/2013 ~ now                    PhD Candidate, Dept. of Computing, The Hong Kong Polytechnic University(HKpolyU), Hong Kong, China.

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.


Publications


Journal papers

l 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)

l 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)

l W. Zuo, D. Ren, D. Zhang, S. Gu, L. Zhang, "Learning Iteration-wise Generalized Shrinkage-Thresholding Operators for Blind Deconvolution," in TIP 2016.

l 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


l S. Gu, W. Zuo, S. Guo, Y. Chen, C. Chen and L. Zhang, "Learning Dynamic Guidance for Depth Image Enhancement,"  to appear in CVPR 2017. (paper, code)

l K. Zhang, W. Zuo, S. Gu and L. Zhang, "Learning Deep CNN Denoiser Prior for Image Restoration,"  to appear in CVPR 2017. (paper, code)

l K. Wang, L. Lin, W. Zuo, S. Gu and L. Zhang, "Dictionary Pair Classifier Driven Convolutional Neural Networks for Object Detection,"  in CVPR 2016.

l 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.

l S. Gu, W. Zuo, Q. Xie, D. Meng, X. Feng, L. Zhang. "Convolutional Sparse Coding for Image Super-resolution," in ICCV 2015. (papersup)

l W. Zuo, D. Ren, S. Gu, L. Lin and L. Zhang, "Discriminative learning of iteration-wise priors for blind deconvolution," in CVPR 2015. (papersup)

l S.Gu, L. Zhang, W. Zuo and X. Feng. "Projective dictionary pair learning for pattern classification." in NIPS 2014. (paper, sup, code)

l    S. Gu, L. Zhang, W. Zuo, and X. Feng, “Weighted Nuclear Norm Minimization with Application to Image Denoising,” in CVPR 2014. (paper) (sup)(code)

l    S. Gu, N. Sang, F. Ma, "Fast image super resolution via local regression,"  in 2012 International Conference on Pattern Recognition (ICPR2012).

l    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


l   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

Patent

l   N. SangS. Gu, et al., “A computer vision based approach for smoke detection,”  Publication No. CN102509414 B. (In Chinese).

Thesis

l   Sparse and Low-rank Models for Image Restoration, submitted.