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Sungyong Baik
Sungyong Baik
Verified email at hanyang.ac.kr - Homepage
Title
Cited by
Cited by
Year
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
4552019
Meta-Learning with Adaptive Hyperparameters
S Baik, M Choi, J Choi, H Kim, KM Lee
Advances in Neural Information Processing Systems (NeurIPS), 2020
1322020
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), 2021
1292021
Learning to forget for meta-learning
S Baik, S Hong, KM Lee
Computer Vision and Pattern Recognition (CVPR), 2020
1112020
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
582020
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
402022
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
402019
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
362019
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
252022
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
162021
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
142023
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
112021
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
102022
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
102020
Searching for controllable image restoration networks
H Kim, S Baik, M Choi, J Choi, KM Lee
International Conference on Computer Vision (ICCV), 2021
92021
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
82013
Visual tracking by adaptive continual meta-learning
J Choi, S Baik, M Choi, J Kwon, KM Lee
IEEE Access 10, 9022-9035, 2022
72022
Meil-nerf: Memory-efficient incremental learning of neural radiance fields
J Chung, K Lee, S Baik, KM Lee
arXiv preprint arXiv:2212.08328, 2022
52022
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
52019
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection and Localization
D Kim, S Baik, TH Kim
Advances in Neural Information Processing Systems (NeurIPS), 2023
2*2023
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