ProfessorsProfessors of Yonsei UniversitySunghun Joung

Sunghun Joung

Yonsei University

H-index: 7

Asia-South Korea

About Sunghun Joung

Sunghun Joung, With an exceptional h-index of 7 and a recent h-index of 7 (since 2020), a distinguished researcher at Yonsei University, specializes in the field of Computer Vision, Image Processing, Machine Learning.

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

Learning Semantic Keypoints for Object Detection in Aerial Images

Cross-domain grouping and alignment for domain adaptive semantic segmentation

Learning canonical 3d object representation for fine-grained recognition

Prototype-guided saliency feature learning for person search

Shape-Adaptive Kernel Network for Dense Object Detection

Cylindrical convolutional networks for joint object detection and viewpoint estimation

Sunghun Joung Information

University	Yonsei University
Position	___
Citations(all)	143
Citations(since 2020)	142
Cited By	17
hIndex(all)	7
hIndex(since 2020)	7
i10Index(all)	5
i10Index(since 2020)	5
Email	Access Email
University Profile Page	Yonsei University
Google Scholar	View Google Scholar Profile

Sunghun Joung Skills & Research Interests

Computer Vision

Image Processing

Machine Learning

Top articles of Sunghun Joung

Title	Journal	Author(s)	Publication Date
Learning Semantic Keypoints for Object Detection in Aerial Images	IEEE Geoscience and Remote Sensing Letters	Minsu Kim Sunghun Joung Taeyong Song Hanjae Kim Kwanghoon Sohn	2022/12/1
Cross-domain grouping and alignment for domain adaptive semantic segmentation	Proceedings of the AAAI Conference on Artificial Intelligence	Minsu Kim Sunghun Joung Seungryong Kim JungIn Park Ig-Jae Kim ...	2021/5/18
Learning canonical 3d object representation for fine-grained recognition		Sunghun Joung Seungryong Kim Minsu Kim Ig-Jae Kim Kwanghoon Sohn	2021
Prototype-guided saliency feature learning for person search		Hanjae Kim Sunghun Joung Ig-Jae Kim Kwanghoon Sohn	2021
Shape-Adaptive Kernel Network for Dense Object Detection		Hanjae Kim Sunghun Joung Ig-Jae Kim Kwanghoon Sohn	2020/10/25
Cylindrical convolutional networks for joint object detection and viewpoint estimation		Sunghun Joung Seungryong Kim Hanjae Kim Minsu Kim Ig-Jae Kim ...	2020