Jihun Yoon

According to our database, Jihun Yoon authored at least 8 papers between 2020 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of five.

2023

Rethinking Soft Label in Label Distribution Learning Perspective.

Seungbum Hong, Jihun Yoon, Bogyu Park, Min-Kook Choi

CoRR, 2023

Exploring Video Frame Redundancies for Efficient Data Sampling and Annotation in Instance Segmentation.

Jihun Yoon, Min-Kook Choi

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Self-Supervised Knowledge Transfer via Loosely Supervised Auxiliary Tasks.

Seungbum Hong, Jihun Yoon, Min-Kook Choi, Junmo Kim

Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2022

Surgical Scene Segmentation Using Semantic Image Synthesis with a Virtual Surgery Environment.

Jihun Yoon, SeulGi Hong, Seungbum Hong, Jiwon Lee, Soyeon Shin, Bokyung Park, Nakjun Sung, Hayeong Yu, Sungjae Kim, SungHyun Park, Woo Jin Hyung, Min-Kook Choi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2022, 2022

2021

hSDB-instrument: Instrument Localization Database for Laparoscopic and Robotic Surgeries.

Jihun Yoon, Jiwon Lee, Sunghwan Heo, Hayeong Yu, Jayeon Lim, Chi Hyun Song, SeulGi Hong, Seungbum Hong, Bokyung Park, SungHyun Park, Woo Jin Hyung, Min-Kook Choi

Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Semi-Supervised Object Detection With Sparsely Annotated Dataset.

Jihun Yoon, Seungbum Hong, Min-Kook Choi

Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020

Semi-Supervised Object Detection with Sparsely Annotated Dataset.

Jihun Yoon, Seungbum Hong, Sanha Jeong, Min-Kook Choi

CoRR, 2020

Semi-supervised Learning for Instrument Detection with a Class Imbalanced Dataset.

Jihun Yoon, Jiwon Lee, SungHyun Park, Woo Jin Hyung, Min-Kook Choi

Proceedings of the Interpretable and Annotation-Efficient Learning for Medical Image Computing, 2020