Sungyong Baik

Hanyang University — South Korea

Computer Science · Physical Sciences

11h-index940citations41works2.12yr avg
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Research Topics

Advanced Image Processing Techniques(13), Advanced Vision and Imaging(11), Domain Adaptation and Few-Shot Learning(11), Image and Signal Denoising Methods(9), Human Pose and Action Recognition(7)

Publications41 total

Prompt Tuning for Vision-Language Models via Meta-Training
Journal of Broadcast Engineering·2025Open Access
CoAPT: Context Attribute words for Prompt Tuning
Knowledge-Based Systems·2025· 1 cited
Difficulty, Diversity, and Plausibility: Dynamic Data-Free Quantization
2025· 1 cited
MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields
IEEE Access·2025· 2 citedOpen Access
LAN: Learning to Adapt Noise for Image Denoising
arXiv (Cornell University)·2024Open Access
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
Lecture notes in computer science·2024· 5 cited
CLOSER: Towards Better Representation Learning for Few-Shot Class-Incremental Learning
arXiv (Cornell University)·2024Open Access
CoAPT: Context Attribute words for Prompt Tuning
arXiv (Cornell University)·2024Open Access
LAN: Learning to Adapt Noise for Image Denoising
2024· 12 cited
Looking beyond input frames: Self-supervised adaptation for video super-resolution
Pattern Recognition·2024· 2 cited
Rethinking RGB Color Representation for Image Restoration Models
arXiv (Cornell University)·2024Open Access
CoLaNet: Adaptive Context and Latent Information Blending for Face Image Inpainting
IEEE Signal Processing Letters·2023· 2 cited
Deep Variational Bayesian Modeling of Haze Degradation Process
2023· 1 citedOpen Access
Semantic-Aware Dynamic Parameter for Video Inpainting Transformer
2023· 4 cited
Learning to Learn Task-Adaptive Hyperparameters for Few-Shot Learning
IEEE Transactions on Pattern Analysis and Machine Intelligence·2023· 43 cited
MEIL-NeRF: Memory-Efficient Incremental Learning of Neural Radiance Fields
arXiv (Cornell University)·2022· 3 citedOpen Access
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
arXiv (Cornell University)·2022· 2 citedOpen Access
Batch Normalization Tells You Which Filter is Important
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)·2022· 2 citedOpen Access
CADyQ: Content-Aware Dynamic Quantization for Image Super-Resolution
Lecture notes in computer science·2022· 33 cited
DAQ: Channel-Wise Distribution-Aware Quantization for Deep Image Super-Resolution Networks
2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV)·2022· 39 cited
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Frequent Co-authors

Kyoung Mu Lee(28), Janghoon Choi(8), Heewon Kim(7), Cheeun Hong(7), Myungsub Choi(6), Seungjun Nah(5), Seokil Hong(5), Junghun Oh(5), Tae Hyun Kim(5), Gyeongsik Moon(3), Sanghyun Son(3), Radu Timofte(3), Heewon Kim(3), Dohee Cho(2), Jaesik Min(2), Xintao Wang(2), Kelvin C. K. Chan(2), Ke Yu(2), Chao Dong(2), Chen Change Loy(2)