Selfreg: Self-supervised contrastive regularization for domain generalization D Kim, Y Yoo, S Park, J Kim, J Lee Proceedings of the IEEE/CVF International Conference on Computer Vision ¡¦, 2021 | 333 | 2021 |
Towards unified scene text spotting based on sequence generation T Kil, S Kim, S Seo, Y Kim, D Kim Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern ¡¦, 2023 | 24 | 2023 |
A performance comparison of super resolution model with different activation functions Y Yoo, D Kim, J Lee KIPS Transactions on Software and Data Engineering 9 (10), 303-308, 2020 | 9 | 2020 |
Bridging the domain gap towards generalization in automatic colorization H Lee, D Kim, D Lee, J Kim, J Lee European Conference on Computer Vision, 527-543, 2022 | 7 | 2022 |
Visually-Situated Natural Language Understanding with Contrastive Reading Model and Frozen Large Language Models G Kim, H Lee, D Kim, H Jung, S Park, Y Kim, S Yun, T Kil, B Lee, S Park Proceedings of the 2023 Conference on Empirical Methods in Natural Language ¡¦, 2023 | 6 | 2023 |
Fall detection using biometric information based on multi-horizon forecasting I Kim, D Kim, S Kwon, S Lee, J Lee 2022 26th International Conference on Pattern Recognition (ICPR), 1364-1370, 2022 | 4 | 2022 |
Inter-domain curriculum learning for domain generalization D Kim, J Kim, J Lee ICT Express 8 (2), 225-229, 2022 | 4 | 2022 |
1D CNN and Machine Learning Methods for Fall Detection I Kim, D Kim, S Noh, J Lee KIPS Transactions on Software and Data Engineering 10 (3), 85-90, 2021 | 4 | 2021 |
Performance analysis of various activation functions in super resolution model YJ Yoo, DH Kim, JK Lee Proceedings of the Korea Information Processing Society Conference, 504-507, 2020 | 3 | 2020 |
SCOB: Universal Text Understanding via Character-wise Supervised Contrastive Learning with Online Text Rendering for Bridging Domain Gap D Kim, Y Kim, DH Kim, Y Lim, G Kim, T Kil Proceedings of the IEEE/CVF International Conference on Computer Vision ¡¦, 2023 | 2 | 2023 |
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Temporal Fusion Transformers and Deep Learning Methods for Multi-Horizon Time Series Forecasting IK Kim, DH Kim, J Lee KIPS Transactions on Software and Data Engineering 11 (2), 81-86, 2022 | | 2022 |
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Enhancing Domain Generalization Performance on Lightweight Convolutional Neural Network Y Yoo, D Kim, I Kim, J Lee Çѱ¹Åë½ÅÇÐȸ Çмú´ëȸ³í¹®Áý, 166-167, 2021 | | 2021 |
Multi-horizon Time Series Forecasting Using Temporal Fusion Transformer I Kim, D Kim, J Lee Proceedings of the Korea Information Processing Society Conference, 479-482, 2021 | | 2021 |
Machine Learning based Fall Detection IK Kim, DH Kim, S Heo, JK Lee Proceedings of the Korea Information Processing Society Conference, 547-550, 2020 | | 2020 |