Sanghyun Woo

Sanghyun Woo

KAIST

H-index: 22

Asia-South Korea

About Sanghyun Woo

Sanghyun Woo, With an exceptional h-index of 22 and a recent h-index of 21 (since 2020), a distinguished researcher at KAIST, specializes in the field of Computer Vision, Machine Learning.

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

MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark

SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting

Per-clip video object segmentation using machine learning

Learning classifiers of prototypes and reciprocal points for universal domain adaptation

Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management

Bidirectional domain mixup for domain adaptive semantic segmentation

Video panoptic segmentation

Mask-guided Matting in the Wild

Sanghyun Woo Information

University

Position

___

Citations(all)

19252

Citations(since 2020)

19188

Cited By

2347

hIndex(all)

22

hIndex(since 2020)

21

i10Index(all)

23

i10Index(since 2020)

23

Email

University Profile Page

KAIST

Google Scholar

View Google Scholar Profile

Sanghyun Woo Skills & Research Interests

Computer Vision

Machine Learning

Top articles of Sanghyun Woo

Title

Journal

Author(s)

Publication Date

MTMMC: A Large-Scale Real-World Multi-Modal Camera Tracking Benchmark

arXiv preprint arXiv:2403.20225

Sanghyun Woo

Kwanyong Park

Inkyu Shin

Myungchul Kim

In So Kweon

2024/3/29

SwitchLight: Co-design of Physics-driven Architecture and Pre-training Framework for Human Portrait Relighting

arXiv preprint arXiv:2402.18848

Hoon Kim

Minje Jang

Wonjun Yoon

Jisoo Lee

Donghyun Na

...

2024/2/29

Per-clip video object segmentation using machine learning

2024/1/4

Learning classifiers of prototypes and reciprocal points for universal domain adaptation

Sungsu Hur

Inkyu Shin

Kwanyong Park

Sanghyun Woo

In So Kweon

2023

Test-time Adaptation in the Dynamic World with Compound Domain Knowledge Management

IEEE Robotics and Automation Letters

Junha Song

Kwanyong Park

InKyu Shin

Sanghyun Woo

Chaoning Zhang

...

2023/8/23

Bidirectional domain mixup for domain adaptive semantic segmentation

Proceedings of the AAAI Conference on Artificial Intelligence

Daehan Kim

Minseok Seo

Kwanyong Park

Inkyu Shin

Sanghyun Woo

...

2023/6/26

Video panoptic segmentation

2023/5/2

Mask-guided Matting in the Wild

Kwanyong Park

Sanghyun Woo

Seoung Wug Oh

In So Kweon

Joon-Young Lee

2023

Convnext v2: Co-designing and scaling convnets with masked autoencoders

Sanghyun Woo

Shoubhik Debnath

Ronghang Hu

Xinlei Chen

Zhuang Liu

...

2023

Systems and methods for object tracking

2020/2/11

Per-clip video object segmentation

Kwanyong Park

Sanghyun Woo

Seoung Wug Oh

In So Kweon

Joon-Young Lee

2022

Tracking by associating clips

Sanghyun Woo

Kwanyong Park

Seoung Wug Oh

In So Kweon

Joon-Young Lee

2022/10/20

Bridging images and videos: A simple learning framework for large vocabulary video object detection

Sanghyun Woo

Kwanyong Park

Seoung Wug Oh

In So Kweon

Joon-Young Lee

2022/10/20

Dense pixel-level interpretation of dynamic scenes with video panoptic segmentation

IEEE Transactions on Image Processing

Dahun Kim

Sanghyun Woo

Joon-Young Lee

In So Kweon

2022/6/24

Electronic device and control method of same

2022/4/7

Panoptic segmentation

2022/2/22

Studying the effects of self-attention for medical image analysis

Adrit Rao

Jongchan Park

Sanghyun Woo

Joon-Young Lee

Oliver Aalami

2021

Labor: Labeling only if required for domain adaptive semantic segmentation

Inkyu Shin

Dong-Jin Kim

Jae Won Cho

Sanghyun Woo

Kwanyong Park

...

2021

Learning to associate every segment for video panoptic segmentation

Sanghyun Woo

Dahun Kim

Joon-Young Lee

In So Kweon

2021

Deep multi-image steganography with private keys

Electronics

Hyeokjoon Kweon

Jinsun Park

Sanghyun Woo

Donghyeon Cho

2021/8/9

See List of Professors in Sanghyun Woo University(KAIST)

Co-Authors

H-index: 83
In So Kweon

In So Kweon

KAIST

H-index: 21
Donghyeon Cho

Donghyeon Cho

Chungnam National University

H-index: 19
Zhuang Liu

Zhuang Liu

University of California, Berkeley

H-index: 18
Dahun Kim

Dahun Kim

KAIST

H-index: 13
Jinsun Park

Jinsun Park

KAIST

H-index: 10
Dong-Jin Kim

Dong-Jin Kim

KAIST

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