ProfessorsProfessors of KAISTKwanyong Park

Kwanyong Park

KAIST

H-index: 7

Asia-South Korea

About Kwanyong Park

Kwanyong Park, With an exceptional h-index of 7 and a recent h-index of 7 (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

Per-clip video object segmentation using machine learning

Self-supervised monocular depth estimation from thermal images via adversarial multi-spectral adaptation

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

Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image

Bidirectional domain mixup for domain adaptive semantic segmentation

KOALA: Self-attention matters in knowledge distillation of latent diffusion models for memory-efficient and fast image synthesis

Mask-guided Matting in the Wild

Kwanyong Park Information

University	KAIST
Position	___
Citations(all)	174
Citations(since 2020)	174
Cited By	11
hIndex(all)	7
hIndex(since 2020)	7
i10Index(all)	4
i10Index(since 2020)	4
Email	Access Email
University Profile Page	KAIST
Google Scholar	View Google Scholar Profile

Kwanyong Park Skills & Research Interests

Computer vision

Machine learning

Top articles of Kwanyong Park

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
Per-clip video object segmentation using machine learning			2024/1/4
Self-supervised monocular depth estimation from thermal images via adversarial multi-spectral adaptation		Ukcheol Shin Kwanyong Park Byeong-Uk Lee Kyunghyun Lee 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
Joint self-supervised learning and adversarial adaptation for monocular depth estimation from thermal image	Machine Vision and Applications	Ukcheol Shin Kwanyong Park Kyunghyun Lee Byeong-Uk Lee In So Kweon	2023/7
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
KOALA: Self-attention matters in knowledge distillation of latent diffusion models for memory-efficient and fast image synthesis	arXiv preprint arXiv:2312.04005	Youngwan Lee Kwanyong Park Yoorhim Cho Yong-Ju Lee Sung Ju Hwang	2023/12/7
Mask-guided Matting in the Wild		Kwanyong Park Sanghyun Woo Seoung Wug Oh In So Kweon Joon-Young Lee	2023
Learning classifiers of prototypes and reciprocal points for universal domain adaptation		Sungsu Hur Inkyu Shin Kwanyong Park Sanghyun Woo In So Kweon	2023
Systems and methods for object tracking			2020/2/11
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
Per-clip video object segmentation		Kwanyong Park Sanghyun Woo Seoung Wug Oh In So Kweon Joon-Young Lee	2022
Labor: Labeling only if required for domain adaptive semantic segmentation		Inkyu Shin Dong-Jin Kim Jae Won Cho Sanghyun Woo Kwanyong Park ...	2021
Unsupervised domain adaptation for video semantic segmentation	arXiv preprint arXiv:2107.11052	Inkyu Shin Kwanyong Park Sanghyun Woo In So Kweon	2021/7/23
Discover, hallucinate, and adapt: Open compound domain adaptation for semantic segmentation	Advances in Neural Information Processing Systems	Kwanyong Park Sanghyun Woo Inkyu Shin In So Kweon	2020