Sungheon Park

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Sungheonpark2.jpg Sungheon Park (박성헌)

Ph. D. Candidate
Program in Intelligent Systems
Department of Transdisciplinary Studies
Graduate School of Convergence Science and Technology
Seoul National University


Tel: +82-31-888-9579
e-mail: sungheonpark@snu.ac.kr

I am a PhD student in the Graduate School of Convergence Science and Technology at Seoul National University, Korea. I am in the Machine Intelligence and Pattern Analysis Lab under the supervision of Prof. Nojun Kwak. Before joining to MIPA Lab, I received B.S. and M.S. degree at Korea Institute of Science and Technology (KAIST), majoring in computer science. My research interest covers broad range of computer vision and machine learning. Especially, I'm interested in applying deep learning algorithms to computer vision problems.

Education

  • Present:
    Ph.D. Candidate in Graduate School of Convergence Science and Technology, Seoul National University, Seoul, Korea.
  • Feb. 2014:
    M.S. in Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea.
  • Feb. 2012:
    B.S. in Computer Science, Korea Advanced Institute of Science and Technology, Daejeon, Korea.

Publications

    Park accv16.png Analysis on the Dropout Effect in Convolutional Neural Networks

    Sungheon Park and Nojun Kwak
    Asian Conference on Computer Vision (ACCV), 2016 (Accepted)


    Park eccvw16.png 3D Human Pose Estimation Using Convolutional Neural Networks with 2D Pose Information

    Sungheon Park, Jihye Hwang, and Nojun Kwak
    Geometry Meets Deep Learning Workshop (ECCV Workshop), 2016 (Accepted)
    [arXiv paper ]     


    Cvprw2015.png Cultural Event Recognition by Subregion Classification with Convolutional Neural Network

    Sungheon Park and Nojun Kwak
    ChaLearn Looking at the People Workshop (CVPR Workshop), 2015
    Ranked 3rd in the cultural event classification challenge
    [paper]     


    Icip2015.png Illumination Robust Optical Flow Estimation by Illumination-Chromaticity Decoupling

    Sungheon Park and Nojun Kwak
    International Conference on Image Processing (ICIP), 2015
    [paper]