Difference between revisions of "Sungheon Park"

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<b>This page will no longer be updated. Check out my new personal page [http://sungheonpark.github.io here].</b>
 
<b>This page will no longer be updated. Check out my new personal page [http://sungheonpark.github.io here].</b>
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<b>I received ph.D. in Feb 2019 and joined to [https://www.sait.samsung.co.kr/saithome/main/main.do Samsung Advanced Institute of Technology (SAIT)] Computer Vision Lab as a staff researcher.</b>
 
<b>I received ph.D. in Feb 2019 and joined to [https://www.sait.samsung.co.kr/saithome/main/main.do Samsung Advanced Institute of Technology (SAIT)] Computer Vision Lab as a staff researcher.</b>
 
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Latest revision as of 22:27, 17 January 2022

Sungheonpark2.jpg Sungheon Park (박성헌)

Ph. D.
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
Google Scholar

This page will no longer be updated. Check out my new personal page here.
I received ph.D. in Feb 2019 and joined to Samsung Advanced Institute of Technology (SAIT) Computer Vision Lab as a staff researcher.

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 Advanced 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

  • Feb. 2019:
    Ph.D. in Intelligent Systems, 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.

Selected Publications

    Sungheon bmvc 2018.png 3D Human Pose Estimation with Relational Networks

    Sungheon Park and Nojun Kwak
    British Machine Vision Conference (BMVC), 2018
    [arXiv ]    [code ]    [video ]


    Sungheon ISMIR 2018.png Music Source Separation Using Stacked Hourglass Networks

    Sungheon Park, Taehoon Kim, Kyogu Lee and Nojun Kwak
    International Society for Music Information Retrieval Conference (ISMIR), 2018
    [arXiv ]    [code ]    [video ]


    ICA PR sungheon.png Independent Component Analysis by lp-norm Optimization

    Sungheon Park and Nojun Kwak
    Pattern Recognition (PR), Volume 76, Apr, 2018
    [paper ]     


    Sungheon tip.png Procrustean Regression: A Flexible Alignment-Based Framework for Nonrigid Structure Estimation

    Sungheon Park, Minsik Lee, and Nojun Kwak
    Transactions on Image Processing (TIP), Volume 27, Jan, 2018
    [paper ]     


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

    Sungheon Park and Nojun Kwak
    Asian Conference on Computer Vision (ACCV), 2016
    [paper]    [code ]


    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
    [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]