About Me

Who Am I?

I'm Zhe Hu. I am working at Apple now.

Before joining Apple, I worked at Hikvision and Light for a few years.

I received my Phd in Computer Science at University of California, Merced, working with Prof. Ming-Hsuan Yang. My research interests include computer vision, computational photography and machine learning.

Here is my CV and Google Scholar page.

Education

Education

2009-2015, Ph.D. in Computer Science

University of California, Merced

2005-2009, B.S. in Mathematics (Honor)

Zhejiang University

Publications

Recent Work

  • Non-Local Spatial Propagation Network for Depth Completion
    Jinsun Park, Kyungdon Joo, Zhe Hu, Chi-Kuei Liu and In So Kweon
    Proceedings of European Conference on Computer Vision (ECCV 2020).
    [Paper] [Code]

  • Multi-Scale Boosted Dehazing Network with Dense Feature Fusion
    Hang Dong, Jinshan Pan, Xiang Lei, Zhe Hu, Xinyi Zhang, Fei Wang and Ming-Hsuan Yang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2020).
    [Paper] [Code]

  • Gated Fusion Network for Degraded Image Super Resolution
    Hang Dong, Xinyi Zhang, Zhe Hu, Wei-Sheng Lai, Fei Wang and Ming-Hsuan Yang
    accepted in International Journal on Computer Vision (IJCV).

  • Learning to Extract Flawless Slow Motion from Blurry Videos
    Meiguang Jin, Zhe Hu and Paolo Favaro
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2019).
    [Paper] [Code]

  • Efficient Super Resolution Using Binarized Neural Network
    Yinglan Ma, Hongyu Xiong, Zhe Hu and Lizhuang Ma
    Compact and Efficient Feature Representation and Learning, workshop in conjunction with IEEE Conference on Computer Vision and Pattern Recognition (CVPRW 2019).(Oral presentation)

  • Gated Fusion Network for Joint Image Deblurring and Super-Resolution
    Xinyi Zhang, Hang Dong, Zhe Hu, Wei-Sheng Lai, Fei Wang and Ming-Hsuan Yang
    Proceedings of British Machine Vision Conference (BMVC 2018). (Oral presentation)
    [Project page] [Code]

  • 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.
    [Project page]

  • Deblurring Low-light Images with Light Streaks
    Zhe Hu, Sunghyun Cho, Jue Wang and Ming-Hsuan Yang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2017.

  • L0-Regularized Intensity and Gradient Prior for Deblurring Text Images and Beyond
    Jinshan Pan, Zhe Hu, Zhixun Su and Ming-Hsuan Yang
    IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2016.
    [Project page]

  • Image Deblurring using Smartphone Inertial Sensors
    Zhe Hu, Lu Yuan, Steve Lin and Ming-Hsuan Yang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) , Las Vegas, US, 2016.

  • A Comparative Study for Single-Image Blind Deblurring
    Wei-Sheng Lai, Jia-Bin Huang, Zhe Hu, Narendra Ahuja and Ming-Hsuan Yang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) , Las Vegas, US, 2016. (Spotlight oral presentation)

  • [Project page]
  • Soft-Segmentation Guided Object Motion Deblurring
    Jinshan Pan, Zhe Hu, Zhixun Su, Hsin-Ying Lee and Ming-Hsuan Yang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2016) , Las Vegas, US, 2016.

  • Deblurring Face Images with Exemplars
    Jinshan Pan*, Zhe Hu*, Zhixun Su and Ming-Hsuan Yang (* indicates equal contribution)
    Proceedings of European Conference on Computer Vision (ECCV 2014) , Zurich, Switzerland, 2014.
    [Project page] [PDF] [MATLAB code]

  • Deblurring Low-light Images with Light Streaks
    Zhe Hu, Sunghyun Cho, Jue Wang and Ming-Hsuan Yang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), Columbus, Ohio, US, 2014.
    [Project page] [PDF] [MATLAB code]

  • Joint Depth Estimation and Camera Shake Removal from Single Blurry Image
    Zhe Hu, Li Xu and Ming-Hsuan Yang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), Columbus, Ohio, US, 2014.
    [Project page] [PDF] MATLAB code

  • Deblurring Text Images via L0-Regularized Intensity and Gradient Prior
    Jinshan Pan, Zhe Hu, Zhixun Su and Ming-Hsuan Yang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR 2014), Columbus, Ohio, US, 2014.
    [Project page] [PDF] [MATLAB code]

  • Good Regions to Deblur
    Zhe Hu and Ming-Hsuan Yang
    Proceedings of European Conference on Computer Vision (ECCV 2012), Firenze, Italy, October, 2012. (Oral presentation, Acceptance rate: 2.8%)
    [Project page] [PDF] [MATLAB code]
    Learning Good Regions to Deblur Image
    Zhe Hu and Ming-Hsuan Yang
    International Journal on Computer Vision (IJCV) 2015

  • Fast Non-uniform Deblurring using Constrained Camera Pose Subspace
    Zhe Hu and Ming-Hsuan Yang
    Proceedings of British Machine Vision Conference (BMVC 2012), Guildford, UK, September, 2012. (Oral presentation, Acceptance rate: 8.0%)
    [Project page] [PDF] [MATLAB code]

  • Single Image Deblurring with Adaptive Dictionary Learning
    Zhe Hu, Jia-Bin Huang and Ming-Hsuan Yang
    Proceedings of IEEE International Conference on Image Processing (ICIP 2010), Hong Kong, China, September, 2010.
    [Project page] [PDF] [Poster] [MATLAB code]

Services

Academic Services

  • Area chair: WACV 2020, AVSS 2019

  • Co-chair: Emerging Topics on Image Restoration and Enhancement (IREw) workshop in ACCV 2014

  • Outstanding Reviewers:
    - CVPR 2019,2020
    - ECCV 2020

  • Journal Reviewer:
    - IEEE Transactions on Pattern Analysis and Machine Intelligence
    - IEEE Transaction on Image Processing
    - Computer Vision and Image Understanding - The Visual Computer
    - Eurographics
    - Pattern Recognition Letters
    - IEEE Transaction on Cybernetics

  • Senior Program Committee:
    - AAAI 2021

  • Program Committee/Reviewer:
    - CVPR 2016,2017,2018,2019,2020
    - ECCV 2014,2016,2018,2020
    - ICCV 2015,2017,2019
    - NIPS 2016,2017,2018,2019
    - ACCV 2014
    - ...

Get in Touch

Contact

5201 Great America Pkwy, Suite 220, Santa Clara, CA 95054