Publications

2023

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    ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization
    Jae-Hyeok Lee, and Dae-Shik Kim
    International Conference on Computer Vision (ICCV), 2023
    Project HTML PDF
  2. Towards Robust Face Swapping via Adaptive Identity Collecting from Multiple Sources
    Jae-Hyeok Lee, Gyeongdo Ham, Sunhyeok Lee, Sanghyeok Son, and 1 more author
    Under review, 2023
  3. Ambiguity-aware robust teacher (ART): Enhanced self-knowledge distillation framework with pruned teacher network
    Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, and Dae-Shik Kim
    Pattern Recognition, 2023
    HTML

2022

  1. P-PseudoLabel: Enhanced Pseudo-Labeling Framework With Network Pruning in Semi-Supervised Learning
    Yucheol Cho, Gyeongdo Ham, Jae-Hyeok Lee, and Dae-Shik Kim
    IEEE Access, 2022
    HTML
  2. A Multiple‐State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning
    Ji-Man Yu, Gyeongdo Ham, Chungryeol Lee, Jae-Hyeok Lee, and 8 more authors
    Advanced Intelligent Systems, 2022
    HTML

2020

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    MCSIP Net: Multichannel Satellite Image Prediction via Deep Neural Network
    Jae-Hyeok Lee, S. Sangmin Lee, Hak Gu Kim, Sa-Kwang Song, and 2 more authors
    IEEE Transactions on Geoscience and Remote Sensing (TGRS), 2020
    HTML

2019

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    Probenet: Probing Deep Networks
    Jae-Hyeok Lee, Seong Tae Kim, and Yong Man Ro
    International Conference on Image Processing (ICIP) (Oral), 2019
    HTML
  2. Visual evidence for interpreting diagnostic decision of deep neural network in computer-aided diagnosis
    Seong Tae Kim, Jae-Hyeok Lee, and Yong Man Ro
    SPIE Medical Imaging 2019: Computer-Aided Diagnosis, 2019
    HTML
  3. Realistic Breast Mass Generation Through BIRADS Category
    Hakmin Lee, Seong Tae Kim, Jae-Hyeok Lee, and Yong Man Ro
    International Conference on Medical Image Computing and Computer Assisted Intervention (MICCAI), 2019
    HTML

2018

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    Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation
    Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, and Yong Man Ro
    European Conference on Computer Vision Workshop (ECCVW), 2018
    HTML PDF
  2. Visually interpretable deep network for diagnosis of breast masses on mammograms
    Seong Tae Kim, Jae-Hyeok Lee, Hakmin Lee, and Yong Man Ro
    Physics in Medicine & Biology, 2018
    HTML
  3. OPT: Optimal human visual system-aware and power-saving color transformation for mobile AMOLED displays
    Jeong-Chan Jin, Jae-Hyeok Lee, Eun-Sil Kim, and Young-Jin Kim
    Multimedia Tools and Applications, 2018
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