Hak Gu Kim

I am an Assistant Professor at Graduate School of Advanced Imaging Science, Multimedia & Films (GSAIM), Chung-Ang University, where I am leading Immersive Reality & Intelligent Systems Lab (IRIS LAB).

Before joining Chung-Ang University, I was a postdoctoral researcher in School of Computer and Communication Sciences (IC), a visiting postdoctoral researcher in Electrical Engineering at École Polytechnique Fédérale de Lausanne (EPFL), Lausanne, Switzerland, and a postdoctoral researcher in School of Electrical Engineering at KAIST, Daejeon, Korea. I received the B.S. and M.S. degrees in School of Electronic Engineering at Inha University, Incheon, Korea, in 2012 and 2014, respectively. I received the Ph.D. degree in School of Electrical Engineering at KAIST, Daejeon, Korea, in 2019.

My research interests include 3D/AR/VR/Metaverse Image and Video Processing, Human Visual Perception, Computer Vision, Machine Learning and Artificial Intelligence, particularly Convergence of AI & Reality, eXplainable AI (XAI), and the vulnerability of deep neural network.


Experience
  • Chung-Ang University
    Chung-Ang University
    Assistant Professor
    Sep. 2021 - present
  • École Polytechnique Fédérale de Lausanne (EPFL)
    École Polytechnique Fédérale de Lausanne (EPFL)
    Postdoctral Researcher
    Sep. 2019 - Aug. 2021
  • Korea Advanced Institute of Science & Technology (KAIST)
    Korea Advanced Institute of Science & Technology (KAIST)
    Postdoctral Researcher
    Mar. 2019 - Aug. 2019
Education
  • Korea Advanced Institute of Science & Technology (KAIST)
    Korea Advanced Institute of Science & Technology (KAIST)
    Ph.D. in School of Electrical Engineering
    Mar. 2014 - Feb. 2019
  • Inha University
    Inha University
    M.S. in Department of Electronic Engineering
    Mar. 2012 - Feb. 2014
  • Inha University
    Inha University
    B.S. in Department of Electronic Engineering
    Mar. 2007 - Feb. 2012
Selected Publications (view all )
MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection

Taeheon Kim, Sangyun Chung, Damin Yeom, Youngjoon Yu, Hak Gu Kim, Yong Man Ro

IEEE Trans. Circuits and Systems for Video Technology (TCSVT) 2025

MSCoTDet: Language-driven Multi-modal Fusion for Improved Multispectral Pedestrian Detection

Taeheon Kim, Sangyun Chung, Damin Yeom, Youngjoon Yu, Hak Gu Kim, Yong Man Ro

IEEE Trans. Circuits and Systems for Video Technology (TCSVT) 2025

Analyzing Visible Articulatory Movements in Speech Production For Speech-Driven 3D Facial Animation

Hyung Kyu Kim, Sangmin Lee, Hak Gu Kim

International Conference on Image Processing (ICIP) 2024

Analyzing Visible Articulatory Movements in Speech Production For Speech-Driven 3D Facial Animation

Hyung Kyu Kim, Sangmin Lee, Hak Gu Kim

International Conference on Image Processing (ICIP) 2024

Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection

Taeheon Kim, Sebin Shin, Youngjoon Yu, Hak Gu Kim, Yong Man Ro

Computer Vision and Pattern Recognition (CVPR) 2024

Causal Mode Multiplexer: A Novel Framework for Unbiased Multispectral Pedestrian Detection

Taeheon Kim, Sebin Shin, Youngjoon Yu, Hak Gu Kim, Yong Man Ro

Computer Vision and Pattern Recognition (CVPR) 2024

Super-Resolution Neural Radiance Field via Learning High Frequency Details for High-Fidelity Novel View Synthesis

Han-nyoung Lee, Hak Gu Kim

IEEE Signal Processing Letters (SPL) 2024

Super-Resolution Neural Radiance Field via Learning High Frequency Details for High-Fidelity Novel View Synthesis

Han-nyoung Lee, Hak Gu Kim

IEEE Signal Processing Letters (SPL) 2024

All publications