About Me

I’m currently a PhD candidate student in Computer Vision at NLPR, CASIA. My research intersts include image processing, computer vision, deep learning and reinforcement learning. I’m focusing on dense image prediction, neural architecture search and model acceleration.

[Resume: Industry/Academia] [GitHub] [Google Scholar] [Mail]

News

  • 2019.07: One paper is accepted by ICCV 2019.
  • 2019.07: One paper is accepted by ACMMM 2019, oral.
  • 2019.05: One paper is accepted by TIP.
  • 2019.04: Survey for Neural Architecture Search—AWESOME NAS.
  • 2019.04: Release a website for DEMOS of the past research.
  • 2018.02: Two papers are accepted by CVPR 2018.

Research

2019

  • FastFCN: Rethinking Dilated Convolution in the Backbone for Semantic Segmentation
    Huikai Wu, Junge Zhang, Kaiqi Huang, Kongming Liang, Yizhou Yu
    arXiv preprint arXiv:1903.11816
    [Project] [Paper] [arXiv] [GitHub]

2018

  • SparseMask: Differentiable Connectivity Learning for Dense Image Prediction
    Huikai Wu, Junge Zhang, Kaiqi Huang
    IEEE International Conference on Computer Vision (ICCV), 2019
    [Project] [Paper] [arXiv] [GitHub]
  • Fast A3RL: Aesthetics-Aware Adversarial Reinforcement Learning for Image Cropping
    Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
    IEEE Transactions on Image Processing ( Volume: 28 , Issue: 10 , Oct. 2019 )
    [Paper]

2017

  • Fast End-to-End Trainable Guided Filter
    Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    [Project] [Paper] [arXiv] [Demo] [GitHub]
  • A2-RL: Aesthetics Aware Reinforcement Learning for Image Cropping
    Debang Li, Huikai Wu, Junge Zhang, Kaiqi Huang
    IEEE Conference on Computer Vision and Pattern Recognition (CVPR), 2018
    [Project] [arXiv] [Demo] [GitHub]
  • MSC: A Dataset for Macro-Management in StarCraft II
    Huikai Wu, Junge Zhang, Kaiqi Huang
    arXiv preprint arXiv:1710.03131
    [arXiv] [GitHub]
  • GP-GAN: Towards Realistic High-Resolution Image Blending
    Huikai Wu, Shuai Zheng, Junge Zhang, Kaiqi Huang
    ACM International Conference on Multimedia (ACMMM), 2019, oral
    [Project] [arXiv] [GitHub]

Project

2019

  • DeepJS
    Online demos for my research on image processing and computer vision based on deep learning.

2018

  • FaceSwap
    Swap faces between two photos with Python 3, OpenCV and dlib.

2017

2016

2015

  • SophiaGL & OpenGLWrapper
    SophiaGL provides a set of easy-to-use APIs for OpenGL 3 and above, while OpenGLWrapper contains wrappers for OpenGL to provide easy_use API for rendering 3D world.

Experience

Education

Internship

Reviewer

  • CVPR 2019-2020, ICCV 2019, AAAI 2020
  • TMI, TSMC, TETCI

Awards

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