Sungyong Baik

According to our database, Sungyong Baik authored at least 31 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2024

Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning.

Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee

IEEE Trans. Pattern Anal. Mach. Intell., March, 2024

CoLaNet: Adaptive Context and Latent Information Blending for Face Image Inpainting.

Joonkyu Park, Cheeun Hong, Sungyong Baik, Kyoung Mu Lee

IEEE Signal Process. Lett., 2024

Looking beyond input frames: Self-supervised adaptation for video super-resolution.

Jinsu Yoo, Jihoon Nam, Sungyong Baik, Tae Hyun Kim

Pattern Recognit., 2024

LAN: Learning to Adapt Noise for Image Denoising.

Changjin Kim, Tae Hyun Kim, Sungyong Baik

CoRR, 2024

CoAPT: Context Attribute words for Prompt Tuning.

Gun Lee, Subin An, Sungyong Baik, Soochahn Lee

CoRR, 2024

Rethinking RGB Color Representation for Image Restoration Models.

Jaerin Lee, JoonKyu Park, Sungyong Baik, Kyoung Mu Lee

CoRR, 2024

sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows.

Dongjin Kim, Donggoo Jung, Sungyong Baik, Tae Hyun Kim

Proceedings of the Twelfth International Conference on Learning Representations, 2024

CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning.

Junghun Oh, Sungyong Baik, Kyoung Mu Lee

Proceedings of the Computer Vision - ECCV 2024, 2024

LAN: Learning to Adapt Noise for Image Denoising.

Changjin Kim, Tae Hyun Kim, Sungyong Baik

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection.

Daehyun Kim, Sungyong Baik, Tae Hyun Kim

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.

Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim

Proceedings of the International Conference on Machine Learning, 2023

Semantic-Aware Dynamic Parameter for Video Inpainting Transformer.

Eunhye Lee, Jinsu Yoo, Yunjeong Yang, Sungyong Baik, Tae Hyun Kim

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Deep Variational Bayesian Modeling of Haze Degradation Process.

Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim

Proceedings of the 32nd ACM International Conference on Information and Knowledge Management, 2023

2022

Test-Time Adaptation for Video Frame Interpolation via Meta-Learning.

Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee

IEEE Trans. Pattern Anal. Mach. Intell., 2022

Learning to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation.

Sungyong Baik, Junghoon Oh, Seokil Hong, Kyoung Mu Lee

IEEE Trans. Pattern Anal. Mach. Intell., 2022

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

Jaeyoung Chung, Kanggeon Lee, Sungyong Baik, Kyoung Mu Lee

CoRR, 2022

Visual Tracking by Adaptive Continual Meta-Learning.

Janghoon Choi, Sungyong Baik, Myungsub Choi, Junseok Kwon, Kyoung Mu Lee

IEEE Access, 2022

Batch Normalization Tells You Which Filter is Important.

Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee

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.

Cheeun Hong, Heewon Kim, Sungyong Baik, Junghun Oh, Kyoung Mu Lee

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution.

Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, Kyoung Mu Lee

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Searching for Controllable Image Restoration Networks.

Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, Kyoung Mu Lee

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning.

Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, Kyoung Mu Lee

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

Domain Adaptation of Learned Features for Visual Localization.

Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Chris Sweeney

CoRR, 2020

Meta-Learning with Adaptive Hyperparameters.

Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee

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.

Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Learning to Forget for Meta-Learning.

Sungyong Baik, Seokil Hong, Kyoung Mu Lee

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Domain Adaptation of Learned Featuresfor Visual Localization.

Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Christopher Sweeney

Proceedings of the 31st British Machine Vision Conference 2020, 2020

2019

Learning to Remember Past to Predict Future for Visual Tracking.

Sungyong Baik, Junseok Kwon, Kyoung Mu Lee

Proceedings of the 2019 IEEE International Conference on Image Processing, 2019

NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results.

Seungjun Nah, Radu Timofte, Shuhang Gu, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Xiao Liu, Chao Li, Dongliang He, Yukang Ding, Shilei Wen, Fatih Porikli, Ratheesh Kalarot, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Peng Yi, Zhongyuan Wang, Kui Jiang, Junjun Jiang, Jiayi Ma, Hang Dong, Xinyi Zhang, Zhe Hu, Kwan-Young Kim, Dong Un Kang, Se Young Chun, Kuldeep Purohit, A. N. Rajagopalan, Yapeng Tian, Yulun Zhang, Yun Fu, Chenliang Xu, Ahmet Murat Tekalp, Mustafa Akin Yilmaz, Cansu Korkmaz, Manoj Sharma, Megh Makwana, Anuj Badhwar, Ajay Pratap Singh, Avinash Upadhyay, Rudrabha Mukhopadhyay, Ankit Shukla, Dheeraj Khanna, A. S. Mandal, Santanu Chaudhury, Si Miao, Yongxin Zhu, Xiao Huo

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

NTIRE 2019 Challenge on Video Deblurring: Methods and Results.

Seungjun Nah, Radu Timofte, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Kyoung Mu Lee, Xintao Wang, Kelvin C. K. Chan, Ke Yu, Chao Dong, Chen Change Loy, Yuchen Fan, Jiahui Yu, Ding Liu, Thomas S. Huang, Hyeonjun Sim, Munchurl Kim, Dongwon Park, Jisoo Kim, Se Young Chun, Muhammad Haris, Greg Shakhnarovich, Norimichi Ukita, Syed Waqas Zamir, Aditya Arora, Salman H. Khan, Fahad Shahbaz Khan, Ling Shao, Rahul Kumar Gupta, Vishal M. Chudasama, Heena Patel, Kishor P. Upla, Hongfei Fan, Guo Li, Yumei Zhang, Xiang Li, Wenjie Zhang, Qingwen He, Kuldeep Purohit, A. N. Rajagopalan, Jeonghun Kim, Mohammad Tofighi, Tiantong Guo, Vishal Monga

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019

NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study.

Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, Kyoung Mu Lee

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2019