• Jiyoung Lee

    Researcher
    Ph.D. Candidate
    Computer Vision & AI

    Welcome

    Yonsei University
    Ph.D. Candidate

    Researcher
    Computer Vision & AI

    Developer
    A.I. & Web & Program


    News

    08/2019, Our paper related to emotion recognition was posted at TechXplore
    08/2019, Our team won the 3rd place in 'video summarization with action and scene recognition in untrimmed videos' task of CoVieW'19 (ICCV Workshop)
    07/2019, Our paper was accepted to ICCV 2019
    05/2019, Our paper was accepted to ICIP 2019

  • I'm Jiyoung Lee,

    Ph.D. Candidate at the School of Electrical & Electronic Engineering,
    Yonsei University, Seoul, Korea.
    My work explores topics in computer vision and deep learning.
    For more check out my CV and contact me by email.

    CV

    Programming
    Python, C/C++, Java, Lua, MATLAB, Linux

    Deep Learning Library
    PyTorch, Tensorflow, Torch, Caffe, MatConvNet

    Web
    Django, Ruby on Rails, HTML5/CSS, Javascript

  • Publication

    Jungin Park, Jiyoung Lee, Sangryul Jeon, and Kwanghoon Sohn
    Video Summarization by Learning Relationships between Action and Scene Pdf
    in IEEE International Conference on Computer Vision Workshop (ICCV Workshop), Oct. 2019.

    Jiyoung Lee, Seungryong Kim, Sunok Kim, Jungin Park and Kwanghoon Sohn
    Context-Aware Emotion Recognition Networks Pdf Cite
    in IEEE International Conference on Computer Vision (ICCV), Oct. 2019.

    Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn
    Tri-modal Recurrent Attention Networks for Emotion Recognition Pdf
    in IEEE Transaction on Image Processing, (TIP), (Under Review). 2019.

    Jungin Park, Jiyoung Lee, Sangryul Jeon, Seungryong Kim, and Kwanghoon Sohn
    Graph Regularization Network With Semantic Affinity for Weakly-supervised Temporal Action Localization Pdf
    in Proc. IEEE International Conference on Image Processing (ICIP), Sep. 2019.

    Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn
    Audio-Visual Attention Networks for Emotion Recognition Pdf
    in Proc. ACM Multimedia Workshop- Workshop on Audio-Visual Scene Understanding for Immersive Multimedia (MMW), Oct. 2018.

    Jungin Park, Sangryul Jeon, Seungryong Kim, Jiyoung Lee, Sunok Kim, and Kwanghoon Sohn
    Learning to Detect, Associate, and Recognize Human Actions and Surrounding Scenes in Untrimmed Videos Pdf
    in Proc. ACM Multimedia Workshop- The 1st Workshop and Challenge on Comprehensive Vidoe Understanding in the Wild (MMW), Oct. 2018.

    Jiyoung Lee, Sunok Kim, Seungryong Kim, and Kwanghoon Sohn
    Spatiotemporal Attention Based Deep Neural Networks for Emotion Recognition Pdf
    in Proc. IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Apr. 2018.

    Jiyoung Lee, Hyungjoo Jung, Youngjung Kim, and Kwanghoon Sohn
    Automatic 2D-to-3D Conversion using Multi-scale Deep Neural Network Pdf
    in Proc. IEEE International Conference on Image Processing (ICIP), Sep. 2017.

  • Project

    Research on Fundamental Technology
    for Deep Learning-Based Semantic State Understanding

    Funded by National Research Foundation Ministry of Science
    2017 - Present

    Developed an algorithm for understanding untrimmed videos

    Intelligent Virtual Reality:
    Deep Audio-Visual Representation Learning
    for Multimedia Perception and Reproduction

    Funded by Institute of Information & Communication Technology
    2017 - Present

    Developed deep network using audio-visual data

    Emotional Intelligence Technology to
    Infer Human Emotion and Carry on Dialogue Accordingly

    Funded by Institute of Information \& Communication Technology
    2017 - 2018

    Developed an algorithm for inferring human emotion from multi-spectral images

    High Quality 2D-to-Multiview Contents Generation
    from Large-Scale RGB+D Database

    Funded by Institute of Information & Communication Technology
    2016 - 2017

    Developed deep network for inferring high-quality depth from a single 2-D image

  • Media Coverages

    TechXplore, August 28, 2019
    A deep learning technique for context-aware emotion recognition View