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Junsik Jung

Ph.D. Student
KAIST
junsik.jung (at) kaist.ac.kr


About Me

I am a Ph.D. Candidate in the School of Computing at Korea Advanced Institute of Science and Technology (KAIST), advised by Prof. Sung-Eui Yoon.

Previously, I received my M.S. degree in Electrical & Electronic Engineering from Yonsei University (2020) and B.S. degree in Electrical & Computer Engineering from University of Seoul (2018).

Research Interests

My research interests lie in Computational Photography and Machine Learning, including but not limited to:

Education

Publications

  1. TMM
    Event-guided Blur Synthesis for Domain Adaptation in Motion Deblurring
    Junsik Jung, Seokryun Choi, Yoonki Cho, Woo Jae Kim, Andrew Jeong, Sung-Eui Yoon
    Submitted to IEEE Transactions on Multimedia (TMM)
    Under Review

  2. BMVC
    Learning Event-guided Exposure-agnostic Video Frame Interpolation via Adaptive Feature Blending
    Junsik Jung, Yoonki Cho, Woo Jae Kim, Lin Wang, Sung-Eui Yoon
    British Machine Vision Conference (BMVC), 2025
    PDF Code

  3. BMVC
    AegisRF: Adversarial Perturbations Guided with Sensitivity for Protecting Intellectual Property of Neural Radiance Fields
    Woo Jae Kim, Kyu Beom Han, Yoonki Cho, Youngju Na, Junsik Jung, Sooel Son, Sung-eui Yoon
    British Machine Vision Conference (BMVC), 2025
    PDF Code

  4. Nano Today
    Synergistic enhancement of long-term plasticity in solid-state electrolyte-gated synaptic transistors realized by introducing an ion-capturing layer
    Dong Hyun Choi, Jong Bin An, Jusung Chung, Kyungho Park, Hyunsik Lee, Junsik Jung, Byung Ha Kang, Hyun Jae Kim
    Nano Today, 2025
    PDF

  5. NeurIPS
    Generalizable person re-identification via balancing alignment and uniformity
    Yoonki Cho, Jaeyoon Kim, Woo Jae Kim, Junsik Jung, Sung-Eui Yoon
    Advances in Neural Information Processing Systems (NeurIPS), 2024
    PDF Code

  6. CVPR
    Feature separation and recalibration for adversarial robustness
    Woo Jae Kim, Yoonki Cho, Junsik Jung, Sung-Eui Yoon
    IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2023
    PDF Code Highlight

  7. ICASSP
    Deep video inpainting guided by audio-visual self-supervision
    Kyuyeon Kim, Junsik Jung*, Woo Jae Kim*, Sung-Eui Yoon (* Equal Contribution)
    IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2022
    PDF Code

  8. Access
    Wi-Fi based user identification using in-air handwritten signature
    Junsik Jung, Han-Cheol Moon, Jooyoung Kim, Donghyun Kim, Kar-Ann Toh
    IEEE Access, 2021
    PDF

  9. ICIP
    Transfer learning of Wi-Fi handwritten signature signals for identity verification based on the kernel and the range space projection
    Junsik Jung, Jooyoung Kim, Kar-Ann Toh
    IEEE International Conference on Image Processing (ICIP), 2019
    PDF

Honors & Awards

Teaching Experience


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