| 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 | 19 | 2022 |
| 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 | 14 | 2022 |
| Unsupervised image denoising with frequency domain knowledge N Kim, D Jang, S Lee, B Kim, DS Kim arXiv preprint arXiv:2111.14362, 2021 | 8 | 2021 |
| 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 | 3 | 2022 |
| Maximizing discrimination capability of knowledge distillation with energy function S Kim, G Ham, S Lee, D Jang, D Kim Knowledge-Based Systems 296, 111911, 2024 | 2 | 2024 |
| 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 | 1 | 2023 |
| 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 | 1 | 2022 |
| 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 |
| A Subdomain-Specific Knowledge Distillation for Unsupervised Domain Adaptation in Adverse Weather Conditions G Choi, Y Lee, D Jang, DS Kim International Conference on Computer Vision (ICCV) 2023, 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 |
