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ORCIDSungyong Baik
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2020 – today
- 2024
[j6]Sungyong Baik
, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee:
Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning. IEEE Trans. Pattern Anal. Mach. Intell. 46(3): 1441-1454 (2024)- [j5]Jinsu Yoo, Jihoon Nam, Sungyong Baik, Tae Hyun Kim:
Looking beyond input frames: Self-supervised adaptation for video super-resolution. Pattern Recognit. 154: 110602 (2024) - [j4]Joonkyu Park, Cheeun Hong, Sungyong Baik, Kyoung Mu Lee:
CoLaNet: Adaptive Context and Latent Information Blending for Face Image Inpainting. IEEE Signal Process. Lett. 31: 91-95 (2024) - [c20]Changjin Kim, Tae Hyun Kim, Sungyong Baik:
LAN: Learning to Adapt Noise for Image Denoising. CVPR 2024: 25193-25202 - [c19]Junghun Oh, Sungyong Baik, Kyoung Mu Lee:
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning. ECCV (49) 2024: 18-35 - [c18]Dongjin Kim, Donggoo Jung, Sungyong Baik, Tae Hyun Kim:
sRGB Real Noise Modeling via Noise-Aware Sampling with Normalizing Flows. ICLR 2024 - [i12]Jaerin Lee, JoonKyu Park, Sungyong Baik, Kyoung Mu Lee:
Rethinking RGB Color Representation for Image Restoration Models. CoRR abs/2402.03399 (2024) - [i11]Gun Lee, Subin An, Sungyong Baik, Soochahn Lee:
CoAPT: Context Attribute words for Prompt Tuning. CoRR abs/2407.13808 (2024) - [i10]Junghun Oh, Sungyong Baik, Kyoung Mu Lee:
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning. CoRR abs/2410.05627 (2024) - 2023
- [c17]Eun Woo Im, Junsung Shin, Sungyong Baik, Tae Hyun Kim:
Deep Variational Bayesian Modeling of Haze Degradation Process. CIKM 2023: 895-904 - [c16]Eunhye Lee, Jinsu Yoo, Yunjeong Yang, Sungyong Baik, Tae Hyun Kim:
Semantic-Aware Dynamic Parameter for Video Inpainting Transformer. ICCV 2023: 12903-12912 - [c15]Seobin Park, Dongjin Kim, Sungyong Baik, Tae Hyun Kim:
Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows. ICML 2023: 27188-27203 - [c14]Daehyun Kim, Sungyong Baik, Tae Hyun Kim:
SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection. NeurIPS 2023 - 2022
- [j3]Janghoon Choi, Sungyong Baik, Myungsub Choi, Junseok Kwon, Kyoung Mu Lee:
Visual Tracking by Adaptive Continual Meta-Learning. IEEE Access 10: 9022-9035 (2022) - [j2]Sungyong Baik, Junghoon Oh, Seokil Hong, Kyoung Mu Lee:
Learning to Forget for Meta-Learning via Task-and-Layer-Wise Attenuation. IEEE Trans. Pattern Anal. Mach. Intell. 44(11): 7718-7730 (2022) - [j1]Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee:
Test-Time Adaptation for Video Frame Interpolation via Meta-Learning. IEEE Trans. Pattern Anal. Mach. Intell. 44(12): 9615-9628 (2022) - [c13]Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, Kyoung Mu Lee:
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution. ECCV (7) 2022: 367-383 - [c12]Cheeun Hong, Heewon Kim, Sungyong Baik, Junghun Oh, Kyoung Mu Lee:
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks. WACV 2022: 913-922 - [c11]Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee:
Batch Normalization Tells You Which Filter is Important. WACV 2022: 3351-3360 - [i9]Cheeun Hong, Sungyong Baik, Heewon Kim, Seungjun Nah, Kyoung Mu Lee:
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution. CoRR abs/2207.10345 (2022) - [i8]Jaeyoung Chung, Kanggeon Lee, Sungyong Baik, Kyoung Mu Lee:
MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields. CoRR abs/2212.08328 (2022) - 2021
- [c10]Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, Kyoung Mu Lee:
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning. ICCV 2021: 9445-9454 - [c9]Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, Kyoung Mu Lee:
Searching for Controllable Image Restoration Networks. ICCV 2021: 14214-14223 - [i7]Sungyong Baik, Janghoon Choi, Heewon Kim, Dohee Cho, Jaesik Min, Kyoung Mu Lee:
Meta-Learning with Task-Adaptive Loss Function for Few-Shot Learning. CoRR abs/2110.03909 (2021) - [i6]Junghun Oh, Heewon Kim, Sungyong Baik, Cheeun Hong, Kyoung Mu Lee:
Batch Normalization Tells You Which Filter is Important. CoRR abs/2112.01155 (2021) - 2020
- [c8]Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Christopher Sweeney:
Domain Adaptation of Learned Featuresfor Visual Localization. BMVC 2020 - [c7]Sungyong Baik, Seokil Hong, Kyoung Mu Lee:
Learning to Forget for Meta-Learning. CVPR 2020: 2376-2384 - [c6]Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee:
Scene-Adaptive Video Frame Interpolation via Meta-Learning. CVPR 2020: 9441-9450 - [c5]Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee:
Meta-Learning with Adaptive Hyperparameters. NeurIPS 2020 - [i5]Myungsub Choi, Janghoon Choi, Sungyong Baik, Tae Hyun Kim, Kyoung Mu Lee:
Scene-Adaptive Video Frame Interpolation via Meta-Learning. CoRR abs/2004.00779 (2020) - [i4]Sungyong Baik, Hyo Jin Kim, Tianwei Shen, Eddy Ilg, Kyoung Mu Lee, Chris Sweeney:
Domain Adaptation of Learned Features for Visual Localization. CoRR abs/2008.09310 (2020) - [i3]Sungyong Baik, Myungsub Choi, Janghoon Choi, Heewon Kim, Kyoung Mu Lee:
Meta-Learning with Adaptive Hyperparameters. CoRR abs/2011.00209 (2020) - [i2]Heewon Kim, Sungyong Baik, Myungsub Choi, Janghoon Choi, Kyoung Mu Lee:
Searching for Controllable Image Restoration Networks. CoRR abs/2012.11225 (2020)
2010 – 2019
- 2019
- [c4]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:
NTIRE 2019 Challenge on Video Deblurring: Methods and Results. CVPR Workshops 2019: 1974-1984 - [c3]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:
NTIRE 2019 Challenge on Video Super-Resolution: Methods and Results. CVPR Workshops 2019: 1985-1995 - [c2]Seungjun Nah, Sungyong Baik, Seokil Hong, Gyeongsik Moon, Sanghyun Son, Radu Timofte, Kyoung Mu Lee:
NTIRE 2019 Challenge on Video Deblurring and Super-Resolution: Dataset and Study. CVPR Workshops 2019: 1996-2005 - [c1]Sungyong Baik, Junseok Kwon, Kyoung Mu Lee:
Learning to Remember Past to Predict Future for Visual Tracking. ICIP 2019: 3068-3072 - [i1]Sungyong Baik, Seokil Hong, Kyoung Mu Lee:
Learning to Forget for Meta-Learning. CoRR abs/1906.05895 (2019)
Coauthor Index
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