Sungyong Baik

Orcid: 0000-0001-5702-4618

According to our database1, Sungyong Baik authored at least 25 papers between 2019 and 2024.

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Bibliography

2024
Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning.
IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

CoLaNet: Adaptive Context and Latent Information Blending for Face Image Inpainting.
IEEE Signal Process. Lett., 2024

Rethinking RGB Color Representation for Image Restoration Models.
CoRR, 2024

2023
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows.
Proceedings of the International Conference on Machine Learning, 2023

Semantic-Aware Dynamic Parameter for Video Inpainting Transformer.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Variational Bayesian Modeling of Haze Degradation Process.
Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022
Test-Time Adaptation for Video Frame Interpolation via Meta-Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields.
CoRR, 2022

Visual Tracking by Adaptive Continual Meta-Learning.
IEEE Access, 2022

Batch Normalization Tells You Which Filter is Important.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution.
Proceedings of the Computer Vision - ECCV 2022, 2022

2021
Searching for Controllable Image Restoration Networks.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020
Domain Adaptation of Learned Features for Visual Localization.
CoRR, 2020

Meta-Learning with Adaptive Hyperparameters.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Scene-Adaptive Video Frame Interpolation via Meta-Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Forget for Meta-Learning.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Domain Adaptation of Learned Featuresfor Visual Localization.
Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019
Learning to Remember Past to Predict Future for Visual Tracking.
Proceedings of the 2019 IEEE International Conference on Image Processing, 2019



NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019


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