| 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 Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 | 552 | 2019 |
| Meta-learning with task-adaptive loss function for few-shot learning S Baik, J Choi, H Kim, D Cho, J Min, KM Lee International Conference on Computer Vision (ICCV) Oral, 2021 | 158 | 2021 |
| Meta-Learning with Adaptive Hyperparameters S Baik, M Choi, J Choi, H Kim, KM Lee Advances in Neural Information Processing Systems (NeurIPS), 2020 | 155 | 2020 |
| Learning to forget for meta-learning S Baik, S Hong, KM Lee Computer Vision and Pattern Recognition (CVPR), 2020 | 121 | 2020 |
| Scene-adaptive video frame interpolation via meta-learning M Choi, J Choi, S Baik, TH Kim, KM Lee Computer Vision and Pattern Recognition (CVPR), 2020 | 59 | 2020 |
| Daq: Channel-wise distribution-aware quantization for deep image super-resolution networks C Hong, H Kim, S Baik, J Oh, KM Lee Winter Conference on Applications of Computer Vision (WACV), 2022 | 54 | 2022 |
| 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 Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 | 41 | 2019 |
| Ntire 2019 challenge on video deblurring: Methods and results S Nah, R Timofte, S Baik, S Hong, G Moon, S Son, K Mu Lee Computer Vision and Pattern Recognition (CVPR) Workshops, 2019 | 40 | 2019 |
| Cadyq: Content-aware dynamic quantization for image super-resolution C Hong, S Baik, H Kim, S Nah, KM Lee European Conference on Computer Vision (ECCV), 2022 | 38 | 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 (TPAMI), 2023 | 35 | 2023 |
| 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 (TPAMI) 44 …, 2021 | 21 | 2021 |
| 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 (TPAMI) 44 …, 2021 | 15 | 2021 |
| Batch normalization tells you which filter is important J Oh, H Kim, S Baik, C Hong, KM Lee Winter Conference on Applications of Computer Vision (WACV), 2022 | 12 | 2022 |
| Visual tracking by adaptive continual meta-learning J Choi, S Baik, M Choi, J Kwon, KM Lee IEEE Access 10, 9022-9035, 2022 | 10 | 2022 |
| 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 | 10 | 2020 |
| Searching for controllable image restoration networks H Kim, S Baik, M Choi, J Choi, KM Lee International Conference on Computer Vision (ICCV), 2021 | 9 | 2021 |
| Meil-nerf: Memory-efficient incremental learning of neural radiance fields J Chung, K Lee, S Baik, KM Lee arXiv preprint arXiv:2212.08328, 2022 | 8 | 2022 |
| 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 |
| SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection and Localization D Kim, S Baik, TH Kim Advances in Neural Information Processing Systems (NeurIPS), 2023 | 7* | 2023 |
| 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 | 6 | 2019 |
Kyoung Mu LeeProfessor, Department of Electrical and Computer Engineering, Seoul National UniversityEmail verificata su snu.ac.kr