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Donggon Jang
Donggon Jang
Verified email at kaist.ac.kr
Title
Cited by
Cited by
Year
Learning color representations for low-light image enhancement
B Kim, S Lee, N Kim, D Jang, DS Kim
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022
132022
Strengthening the transferability of adversarial examples using advanced looking ahead and self-cutmix
D Jang, S Son, DS Kim
Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2022
102022
Unsupervised image denoising with frequency domain knowledge
N Kim, D Jang, S Lee, B Kim, DS Kim
arXiv preprint arXiv:2111.14362, 2021
62021
A Multiple‐State Ion Synaptic Transistor Applicable to Abnormal Car Detection with Transfer Learning
JM Yu, G Ham, C Lee, JH Lee, JK Han, JK Kim, D Jang, N Kim, MS Kim, ...
Advanced Intelligent Systems 4 (6), 2100231, 2022
22022
Accurate Hippocampus Segmentation Based on Self-supervised Learning with Fewer Labeled Data
K Kunanbayev, D Jang, W Jeong, N Kim, DS Kim
International Workshop on Machine Learning in Clinical Neuroimaging, 42-51, 2022
12022
Maximizing discrimination capability of knowledge distillation with energy function
S Kim, G Ham, S Lee, D Jang, D Kim
Knowledge-Based Systems, 111911, 2024
2024
Maximizing Discrimination Capability of Knowledge Distillation with Energy-based Score
S Kim, G Ham, S Lee, D Jang, D Kim
arXiv preprint arXiv:2311.14334, 2023
2023
Temporally Averaged Regression for Semi-Supervised Low-Light Image Enhancement
S Lee, D Jang, DS Kim
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2023
2023
20 and 40-Hz Flickering-Light Stimulation Induces Changes in Functional Connectivity of Memory-Related Areas
J Lee, D Jang, K Kunanbayev, DS Kim
Conference on Cognitive Computational Neuroscience, CCN 2022, 2022
2022
Towards Precise and Robust Hippocampus Segmentation using Self-Supervised Contrastive Learning
K Kunanbayev, D Jang, J Lee, DS Kim
Conference on Cognitive Computational Neuroscience, CCN 2022, 2022
2022
Variance-Invariance-Covariance Regularization with Local Self-Supervised Learning Improves Hippocampus Segmentation with Fewer Labels
K Kunanbayev, D Jang, J Lee, DS Kim
Conference on Cognitive Computational Neuroscience, CCN 2022, 2022
2022
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Articles 1–11