Publications

2025

  1. Focus Where It Matters: LLM-Guided Regional Identification for Instruction-based Image Editing
    Minho Park, Young-Joo Jo, Jae-Hyeok Lee, Ji-Yong Lee, and 2 more authors
    ACM International Conference on Multimedia (ACM-MM), 2025
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  2. Generality-aware self-supervised transformer for multivariate time series anomaly detection
    Yucheol Cho, Jae-Hyeok Lee, Gyeongdo Ham, Donggon Jang, and 1 more author
    Applied Intelligence, 2025
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  3. Adaptive Cross-Attention Gated Network for Radar-Camera Fusion in BEV Space
    Ji-Yong Lee, Jae-Hyeok Lee, and Dong-oh Kang
    International Conference on Advanced Communication Technology (ICACT), 2025
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2024

  1. Difficulty Level-based Knowledge Distillation
    Gyeongdo Ham, Yucheol Cho, Jae-Hyeok Lee, Minchan Kang, and 2 more authors
    Neurocomputing, 2024
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  2. Geometry and Depth-Informed Texture Compositing for Realistic Texture Synthesis
    Suin Lee, Jae-Hyeok Lee, and Dae-Shik Kim
    IEEE/CVF CVPR Workshop on Compositional 3D Vision (CVPR-C3DV), 2024
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2023

  1. ICE-NeRF: Interactive Color Editing of NeRFs via Decomposition-Aware Weight Optimization
    Jae-Hyeok Lee and Dae-Shik Kim
    IEEE/CVF International Conference on Computer Vision (ICCV), 2023
    Project HTML PDF
  2. 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
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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
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  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
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2020

  1. 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
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2019

  1. Probenet: Probing Deep Networks
    Jae-Hyeok Lee, Seong Tae Kim, and Yong Man Ro
    International Conference on Image Processing (ICIP) (Oral), 2019
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  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
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  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
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2018

  1. Feature2Mass: Visual Feature Processing in Latent Space for Realistic Labeled Mass Generation
    Jae-Hyeok Lee, Seong Tae Kim, Hakmin Lee, and Yong Man Ro
    ECCV Workshop on Bio-Image Computing (ECCV-BIC), 2018
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  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
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  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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