Publications

Top-tier conferences and journals have badges.

2024

  1. NeurIPS
    Diversify, contextualize, and adapt: Efficient entropy modeling for neural image codec
    Jun-Hyuk Kim, Seungeon Kim, Won-Hee Lee, and Dokwan Oh
    Advances in Neural Information Processing Systems, 2024
    arXiv HTML
  2. ICML
    Neural image compression with text-guided encoding for both pixel-level and perceptual fidelity
    Hagyeong Lee, Minkyu Kim, Jun-Hyuk Kim, Seungeon Kim, Dokwan Oh, and Jaeho Lee
    International Conference on Machine Learning, 2024
    arXiv HTML

2023

  1. AAAI
    Demystifying randomly initialized networks for evaluating generative models
    Junghyuk Lee, Jun-Hyuk Kim, and Jong-Seok Lee
    AAAI Conference on Artificial Intelligence, 2023
    arXiv HTML

2022

  1. Deep image destruction: Vulnerability of deep image-to-image models against adversarial attacks
    Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, and Jong-Seok Lee
    International Conference on Pattern Recognition, 2022
    arXiv HTML
  2. CVPR
    Joint global and local hierarchical priors for learned image compression
    Jun-Hyuk Kim, Byeongho Heo, and Jong-Seok Lee
    IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
    arXiv HTML
  3. Successive learned image compression: Comprehensive analysis of instability
    Jun-Hyuk Kim, Soobeom Jang, Jun-Ho Choi, and Jong-Seok Lee
    Neurocomputing, 2022
    HTML

2021

  1. ICCV
    Just one moment: Structural vulnerability of deep action recognition against one frame attack
    Jaehui Hwang, Jun-Hyuk Kim, Jun-Ho Choi, and Jong-Seok Lee
    IEEE/CVF International Conference on Computer Vision, 2021
    arXiv HTML
  2. Edge attention network for image deblurring and super-resolution
    Jong-Wook Han, Jun-Ho Choi, Jun-Hyuk Kim, and Jong-Seok Lee
    IEEE International Conference on Systems, Man, and Cybernetics, 2021
    HTML
  3. NTIRE 2021 challenge on image deblurring
    Seungjun Nah, Sanghyun Son, Suyoung Lee, Radu Timofte, Kyoung Mu Lee, Liangyu Chen, Jie Zhang, and 4 more authors
    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshop, 2021
    arXiv HTML
  4. Volatile-nonvolatile memory network for progressive image super-resolution
    Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, and Jong-Seok Lee
    IEEE Access, 2021
    HTML Code

2020

  1. Adversarially robust deep image super-resolution using entropy regularization
    Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, and Jong-Seok Lee
    Asian Conference on Computer Vision, 2020
    HTML
  2. Multi-scale adaptive residual network using total variation for real image super-resolution
    Keon-Hee Ahn, Jun-Hyuk Kim, Jun-Ho Choi, and Jong-Seok Lee
    IEEE International Conference on Consumer Electronics-Asia, 2020
    HTML
  3. Efficient bokeh effect rendering using generative adversarial network
    Min-Su Choi, Jun-Hyuk Kim, Jun-Ho Choi, and Jong-Seok Lee
    IEEE International Conference on Consumer Electronics-Asia, 2020
    HTML
  4. MM
    Instability of successive deep image compression
    Jun-Hyuk Kim, Soobeom Jang, Jun-Ho Choi, and Jong-Seok Lee
    ACM International Conference on Multimedia, 2020
    HTML
  5. LarvaNet: Hierarchical super-resolution via multi-exit architecture
    Geun-Woo Jeon, Jun-Ho Choi, Jun-Hyuk Kim, and Jong-Seok Lee
    European Conference on Computer Vision Workshop, 2020
    HTML
  6. AIM 2020 challenge on efficient super-resolution: Methods and results
    Kai Zhang, Martin Danelljan, Yawei Li, Radu Timofte, Jie Liu, Jie Tang, Gangshan Wu, and 4 more authors
    European Conference on Computer Vision Workshop, 2020
    arXiv
  7. AIM 2020 challenge on real image super-resolution: Methods and results
    Pengxu Wei, Hannan Lu, Radu Timofte, Liang Lin, Wangmeng Zuo, Zhihong Pan, Baopu Li, and 4 more authors
    European Conference on Computer Vision Workshop, 2020
    arXiv
  8. Efficient deep learning-based lossy image compression via asymmetric autoencoder and pruning
    Jun-Hyuk Kim, Jun-Ho Choi, Jaehyuk Chang, and Jong-Seok Lee
    IEEE International Conference on Acoustics, Speech and Signal Processing, 2020
    HTML
  9. SRZoo: An integrated repository for super-resolution using deep learning
    Jun-Ho Choi, Jun-Hyuk Kim, and Jong-Seok Lee
    IEEE International Conference on Acoustics, Speech and Signal Processing, 2020
    arXiv HTML Code
  10. MAMNet: Multi-path adaptive modulation network for image super-resolution
    Jun-Hyuk Kim, Jun-Ho Choi, Manri Cheon, and Jong-Seok Lee
    Neurocomputing, 2020
    arXiv HTML Code
  11. Deep learning-based image super-resolution considering quantitative and perceptual quality
    Jun-Ho Choi, Jun-Hyuk Kim, Manri Cheon, and Jong-Seok Lee
    Neurocomputing, 2020
    arXiv HTML Code

2019

  1. ICCV
    Evaluating robustness of deep image super-resolution against adversarial attacks
    Jun-Ho Choi, Huan Zhang, Jun-Hyuk Kim, Cho-Jui Hsieh, and Jong-Seok Lee
    IEEE/CVF International Conference on Computer Vision, 2019
    arXiv HTML
  2. TAC
    Prediction of car design perception using EEG and gaze patterns
    Seong-Eun Moon, Jun-Hyuk Kim, Sun-Wook Kim, and Jong-Seok Lee
    IEEE Transactions on Affective Computing, 2019
    HTML

2018

  1. Deep learning-based super-resolution for digital comics
    Jun-Hyuk Kim, Jun-Ho Choi, Choong-Hyun Seo, Jaehyuk Chang, and Jong-Seok Lee
    SIGGRAPH Asia 2018 Posters, 2018
    HTML
  2. Generative adversarial network-based image super-resolution using perceptual content losses
    Manri Cheon, Jun-Hyuk Kim, Jun-Ho Choi, and Jong-Seok Lee
    European Conference on Computer Vision Workshops, 2018
    arXiv HTML Code
  3. Deep residual network with enhanced upscaling module for super-resolution
    Jun-Hyuk Kim and Jong-Seok Lee
    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2018
    HTML Code
  4. NTIRE 2018 challenge on single image super-resolution: Methods and results
    Radu Timofte, Shuhang Gu, Jiqing Wu, and Luc Van Gool
    IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops, 2018
    HTML

2017

  1. Assessing product design using photos and real products
    Seong-Eun Moon, Jun-Hyuk Kim, Sun-Wook Kim, and Jong-Seok Lee
    CHI Conference Extended Abstracts on Human Factors in Computing Systems, 2017
    HTML

2016

  1. Travel photo album summarization based on aesthetic quality, interestingness, and memorableness
    Jun-Hyuk Kim and Jong-Seok Lee
    APSIPA Annual Summit and Conference, 2016
    HTML