Conferences
Diversify, contextualize, and adapt: Efficient entropy modeling for neural image codec
J.-H. Kim, S. Kim, W.-H. Lee, D. Oh
Advances in Neural Information Processing Systems (NeurIPS), Dec. 2024
arXiv
Neural image compression with text-guided encoding for both pixel-level and perceptual fidelity
H. Lee, M. Kim, J.-H. Kim, S. Kim, D. Oh, J. Lee
International Conference on Machine Learning (ICML), Jul. 2024
Detail /
arXiv
Demystifying randomly initialized networks for evaluating generative models
J. Lee, J.-H. Kim, J.-S. Lee
AAAI Conference on Artificial Intelligience (AAAI), Feb. 2023
arXiv
Deep image destruction: Vulnerability of deep image-to-image models against adversarial attacks
J.-H. Choi, H. Zhang, J.-H. Kim, C.-J. Hsieh, J.-S. Lee
International Conference on Pattern Recognition (ICPR), Aug. 2022
arXiv
Joint global and local hierarchical priors for learned image compression
J.-H. Kim, B. Heo, J.-S. Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp. 5992-6001, Jun. 2022
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arXiv
Just one moment: Structural vulnerability of deep action recognition against one frame attack
J. Hwang, J.-H. Kim, J.-H. Choi, J.-S. Lee
IEEE International Conference on Computer Vision (ICCV), pp. 7668-7676, Oct. 2021
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arXiv
Edge attention network for image deblurring and super-resolution
J.-W. Han, J.-H. Choi, J.-H. Kim, J.-S. Lee
IEEE International Conference on Systems, Man, and Cybernetics (SMC), pp. 2393-2398, Oct. 2021
Detail
NTIRE 2021 challenge on image deblurring
S. Nah et al. (including J.-H. Kim)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, Jun. 2021
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arXiv
Adversarially robust deep image super-resolution using entropy regularization
J.-H. Choi, H. Zhang, J.-H. Kim, C.-J. Hsieh, J.-S. Lee
Asian Conference on Computer Vision (ACCV), Nov. 2020
Detail
Multi-scale adaptive residual network using total variation for real image super-resolution
K.-H. Ahn, J.-H. Kim, J.-H. Choi, J.-S. Lee
International Conference on Consumer Electronics Asia (ICCE-Asia), pp. 349-352, Nov. 2020
Detail
Efficient bokeh effect rendering using generative adversarial network
M.-S. Choi, J.-H. Kim, J.-H. Choi, J.-S. Lee
International Conference on Consumer Electronics Asia (ICCE-Asia), pp. 404-408, Nov. 2020
Detail
Instability of successive deep image compression
J.-H. Kim, S. Jang, J.-H. Choi, J.-S. Lee
ACM Multimedia (MM), pp. 247-255, Oct. 2020
Detail
LarvaNet: Hierarchical super-resolution via multi-exit architecture
G.-W. Jeon, J.-H. Choi, J.-H. Kim, J.-S. Lee
European Conference on Computer Vision (ECCV) Workshops, Aug. 2020
Detail
AIM 2020 challenge on efficient super-resolution: methods and results
K. Zhang et al. (including J.-H. Kim)
European Conference on Computer Vision (ECCV) Workshops, Aug. 2020
arXiv
AIM 2020 challenge on real image super-resolution: methods and results
P. Wei et al. (including J.-H. Kim)
European Conference on Computer Vision (ECCV) Workshops, Aug. 2020
arXiv
Efficient deep learning-based lossy image compression via asymmetric autoencoder and pruning
J.-H. Kim, J.-H. Choi, J. Chang, J.-S. Lee
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2063-2067, May 2020
Detail
SRZoo: An integrated repository for super-resolution using deep learning
J.-H. Choi, J.-H. Kim, J.-S. Lee
IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), pp. 2508-2512, May 2020
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arXiv /
GitHub
Evaluating robustness of deep image super-resolution against adversarial attacks
J.-H. Choi, H. Zhang, J.-H. Kim, C.-J. Hsieh, J.-S. Lee
IEEE International Conference on Computer Vision (ICCV), pp. 303-311, Oct. 2019
Detail / arXiv
Deep learning-based super-resolution for digital comics
J.-H. Kim, J.-H. Choi, C.-H. Seo, J. Chang, J.-S. Lee
SIGGRAPH Asia 2018 Posters, Article 19, Dec. 2018
Detail
Generative adversarial network-based image super-resolution using perceptual content losses
M. Cheon, J.-H. Kim, J.-H. Choi, J.-S. Lee
European Conference on Computer Vision (ECCV) Workshops, pp. 51-62, Sep. 2018
Detail / arXiv / GitHub
Deep residual network with enhanced upscaling module for super-resolution
J.-H. Kim, J.-S. Lee
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 913-921, Jun. 2018
Detail / GitHub
NTIRE 2018 challenge on single image super-resolution: methods and results
R. Timofte et al. (including J.-H. Kim)
IEEE Conference on Computer Vision and Pattern Recognition (CVPR) Workshops, pp. 965-976, Jun. 2018
Detail
Assessing product design using photos and real products
S.-E. Moon, J.-H. Kim, S.-W. Kim, J.-S. Lee
ACM Conf. Human Factors in Computing Systems (CHI), Extended Abstract, pp. 1100-1107, May 2017
Detail
Travel photo album summarization based on aesthetic quality, interestingness, and memorableness
J.-H. Kim, J.-S. Lee
APSIPA Annual Summit and Conference, Dec. 2016
Detail
Journals
Successive learned image compression: Comprehensive analysis of instability
J.-H. Kim, S. Jang, J.-H. Choi, J.-S. Lee
Neurocomputing, vol. 506, pp. 12-24, Sep. 2022
Detail
Volatile-nonvolatile memory network for progressive image super-resolution
J.-H. Choi, J.-H. Kim, M. Cheon, J.-S. Lee
IEEE Access, vol. 9, pp. 37487-37496, Mar. 2021
Detail / GitHub
Prediction of car design perception using EEG and gaze patterns
S.-E. Moon, J.-H. Kim, S.-W. Kim, J.-S. Lee
IEEE Transactions on Affective Computing, vol. 12, no. 4, pp. 843-856, 2021
Detail
MAMNet: Multi-path adaptive modulation network for image super-resolution
J.-H. Kim, J.-H. Choi, M. Cheon, J.-S. Lee
Neurocomputing, vol. 402, pp. 38-49, Aug. 2020
Detail / arXiv / GitHub
Deep learning-based image super-resolution considering quantitative and perceptual quality
J.-H. Choi, J.-H. Kim, M. Cheon, J.-S. Lee
Neurocomputing, vol. 398, pp. 347-359, Jul. 2020
Detail /
arXiv / GitHub
