| Ntire 2019 challenge on video deblurring and super-resolution: Dataset and study S Nah, S Baik, S Hong, G Moon, S Son, R Timofte, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 302 | 2019 |
| Meta-Learning with Adaptive Hyperparameters S Baik, M Choi, J Choi, H Kim, KM Lee Advances in Neural Information Processing Systems, 2020, 2020 | 76 | 2020 |
| Learning to forget for meta-learning S Baik, S Hong, KM Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020 | 70 | 2020 |
| Meta-learning with task-adaptive loss function for few-shot learning S Baik, J Choi, H Kim, D Cho, J Min, KM Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 54 | 2021 |
| Scene-adaptive video frame interpolation via meta-learning M Choi, J Choi, S Baik, TH Kim, KM Lee Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2020 | 42 | 2020 |
| Ntire 2019 challenge on video deblurring: Methods and results S Nah, R Timofte, S Baik, S Hong, G Moon, S Son, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 34 | 2019 |
| Ntire 2019 challenge on video super-resolution: Methods and results S Nah, R Timofte, S Gu, S Baik, S Hong, G Moon, S Son, K Mu Lee Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2019 | 31 | 2019 |
| Daq: Channel-wise distribution-aware quantization for deep image super-resolution networks C Hong, H Kim, S Baik, J Oh, KM Lee Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 22* | 2022 |
| Learning to forget for meta-learning via task-and-layer-wise attenuation S Baik, J Oh, S Hong, KM Lee IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (11), 7718 …, 2021 | 8 | 2021 |
| Searching for controllable image restoration networks H Kim, S Baik, M Choi, J Choi, KM Lee Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2021 | 8 | 2021 |
| Noninvasive self-tuning output capacitor time constant estimator for low power digitally controlled dc-dc converters A Radić, D Baik, A Straka, A Prodić, R de Nie 2013 Twenty-Eighth Annual IEEE Applied Power Electronics Conference and …, 2013 | 8 | 2013 |
| Domain Adaptation of Learned Features for Visual Localization S Baik, HJ Kim, T Shen, E Ilg, KM Lee, C Sweeney 2020 British Machine Vision Conference (BMVC), 2020 | 7 | 2020 |
| CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution C Hong, S Baik, H Kim, S Nah, KM Lee Computer Vision–ECCV 2022: 17th European Conference, Tel Aviv, Israel …, 2022 | 6 | 2022 |
| Batch normalization tells you which filter is important J Oh, H Kim, S Baik, C Hong, KM Lee Proceedings of the IEEE/CVF Winter Conference on Applications of Computer …, 2022 | 5 | 2022 |
| Test-Time Adaptation for Video Frame Interpolation via Meta-Learning M Choi, J Choi, S Baik, TH Kim, KM Lee IEEE Transactions on Pattern Analysis and Machine Intelligence 44 (12), 9615 …, 2021 | 5 | 2021 |
| Learning to remember past to predict future for visual tracking S Baik, J Kwon, KM Lee 2019 IEEE International Conference on Image Processing (ICIP), 3068-3072, 2019 | 5 | 2019 |
| Visual tracking by adaptive continual meta-learning J Choi, S Baik, M Choi, J Kwon, KM Lee IEEE Access 10, 9022-9035, 2022 | 3 | 2022 |
| Learning to learn task-adaptive hyperparameters for few-shot learning S Baik, M Choi, J Choi, H Kim, KM Lee IEEE Transactions on Pattern Analysis and Machine Intelligence, 2023 | 1 | 2023 |
| MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields J Chung, K Lee, S Baik, KM Lee arXiv preprint arXiv:2212.08328, 2022 | | 2022 |
| Task-Adaptive Meta-Learning for Few-Shot Learning S BAIK Seoul National University, 2022 | | 2022 |
Kyoung Mu LeeProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityVerified email at snu.ac.kr
