Sungyong Baik

Sungyong Baik

Seoul National University

H-index: 10

Asia-South Korea

About Sungyong Baik

Sungyong Baik, With an exceptional h-index of 10 and a recent h-index of 10 (since 2020), a distinguished researcher at Seoul National University, specializes in the field of Computer Vision, Machine Learning.

His recent articles reflect a diverse array of research interests and contributions to the field:

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

Rethinking RGB Color Representation for Image Restoration Models

Learning to learn task-adaptive hyperparameters for few-shot learning

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

SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection

Semantic-Aware Dynamic Parameter for Video Inpainting Transformer

Deep Variational Bayesian Modeling of Haze Degradation Process

Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows

Sungyong Baik Information

University

Position

___

Citations(all)

924

Citations(since 2020)

916

Cited By

129

hIndex(all)

10

hIndex(since 2020)

10

i10Index(all)

10

i10Index(since 2020)

10

Email

University Profile Page

Seoul National University

Google Scholar

View Google Scholar Profile

Sungyong Baik Skills & Research Interests

Computer Vision

Machine Learning

Top articles of Sungyong Baik

Title

Journal

Author(s)

Publication Date

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

Dongjin Kim

Donggoo Jung

Sungyong Baik

Tae Hyun Kim

2024/5/7

Rethinking RGB Color Representation for Image Restoration Models

arXiv preprint arXiv:2402.03399

Jaerin Lee

JoonKyu Park

Sungyong Baik

Kyoung Mu Lee

2024/2/5

Learning to learn task-adaptive hyperparameters for few-shot learning

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Sungyong Baik

Myungsub Choi

Janghoon Choi

Heewon Kim

Kyoung Mu Lee

2023/3/24

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

IEEE Signal Processing Letters

Joonkyu Park

Cheeun Hong

Sungyong Baik

Kyoung Mu Lee

2023/12/8

SANFlow: Semantic-Aware Normalizing Flow for Anomaly Detection

Advances in Neural Information Processing Systems (NeurIPS)

Daehyun Kim

Sungyong Baik

Tae Hyun Kim

2023/11/2

Semantic-Aware Dynamic Parameter for Video Inpainting Transformer

Eunhye Lee*

Jinsu Yoo*

Yunjeong Yang

Sungyong Baik

Tae Hyun Kim

2023/10

Deep Variational Bayesian Modeling of Haze Degradation Process

Eun Woo Im*

Junsung Shin*

Sungyong Baik

Tae Hyun Kim

2023/10

Learning Controllable Degradation for Real-World Super-Resolution via Constrained Flows

Seobin Park*

Dongjin Kim*

Sungyong Baik

Tae Hyun Kim

2023/6/15

Batch normalization tells you which filter is important

Junghun Oh

Heewon Kim

Sungyong Baik

Cheeun Hong

Kyoung Mu Lee

2022

Meil-nerf: Memory-efficient incremental learning of neural radiance fields

arXiv preprint arXiv:2212.08328

Jaeyoung Chung

Kanggeon Lee

Sungyong Baik

Kyoung Mu Lee

2022/12/16

Cadyq: Content-aware dynamic quantization for image super-resolution

Cheeun Hong

Sungyong Baik

Heewon Kim

Seungjun Nah

Kyoung Mu Lee

2022/10/23

Visual tracking by adaptive continual meta-learning

IEEE Access

Janghoon Choi

Sungyong Baik

Myungsub Choi

Junseok Kwon

Kyoung Mu Lee

2022/1/14

Daq: Channel-wise distribution-aware quantization for deep image super-resolution networks

Cheeun Hong

Heewon Kim

Sungyong Baik

Junghun Oh

Kyoung Mu Lee

2022

Test-time adaptation for video frame interpolation via meta-learning

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Myungsub Choi

Janghoon Choi

Sungyong Baik

Tae Hyun Kim

Kyoung Mu Lee

2021/11/23

Learning to forget for meta-learning via task-and-layer-wise attenuation

IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI)

Sungyong Baik

Junghoon Oh

Seokil Hong

Kyoung Mu Lee

2021/8/4

Meta-learning with task-adaptive loss function for few-shot learning

Sungyong Baik

Janghoon Choi

Heewon Kim

Dohee Cho

Jaesik Min

...

2021

Searching for controllable image restoration networks

Heewon Kim

Sungyong Baik

Myungsub Choi

Janghoon Choi

Kyoung Mu Lee

2021

Meta-Learning with Adaptive Hyperparameters

Sungyong Baik

Myungsub Choi

Janghoon Choi

Heewon Kim

Kyoung Mu Lee

2020/10/31

Domain Adaptation of Learned Features for Visual Localization

Sungyong Baik

Hyo Jin Kim

Tianwei Shen

Eddy Ilg

Kyoung Mu Lee

...

2020/8/21

Scene-adaptive video frame interpolation via meta-learning

Myungsub Choi

Janghoon Choi

Sungyong Baik

Tae Hyun Kim

Kyoung Mu Lee

2020

See List of Professors in Sungyong Baik University(Seoul National University)

Co-Authors

H-index: 70
Kyoung Mu Lee

Kyoung Mu Lee

Seoul National University

H-index: 20
Junseok Kwon

Junseok Kwon

Chung-Ang University

H-index: 17
Seungjun Nah

Seungjun Nah

Seoul National University

H-index: 14
Tae Hyun Kim

Tae Hyun Kim

Hanyang University

H-index: 13
Kim, Heewon

Kim, Heewon

Seoul National University

H-index: 8
Janghoon Choi

Janghoon Choi

Seoul National University

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