Gitaek Kwon

According to our database, Gitaek Kwon authored at least 6 papers between 2020 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

DRAC 2022: A public benchmark for diabetic retinopathy analysis on ultra-wide optical coherence tomography angiography images.

Bo Qian, Hao Chen, Xiangning Wang, Zhouyu Guan, Tingyao Li, Yixiao Jin, Yilan Wu, Yang Wen, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho, Dawei Yang, Bin Sheng

Patterns, March, 2024

2023

Effect of Contrast Level and Image Format on a Deep Learning Algorithm for the Detection of Pneumothorax with Chest Radiography.

Myeong Seong Yoon, Gitaek Kwon, Jaehoon Oh, Jongbin Ryu, Jongwoo Lim, Bokyeong Kang, Juncheol Lee, Dongkyoon Han

J. Digit. Imaging, June, 2023

DRAC: Diabetic Retinopathy Analysis Challenge with Ultra-Wide Optical Coherence Tomography Angiography Images.

Bo Qian, Hao Chen, Xiangning Wang, Haoxuan Che, Gitaek Kwon, Jaeyoung Kim, Sungjin Choi, Seoyoung Shin, Felix Krause, Markus Unterdechler, Junlin Hou, Rui Feng, Yihao Li, Mostafa El Habib Daho, Qiang Wu, Ping Zhang, Xiaokang Yang, Yiyu Cai, Weiping Jia, Huating Li, Bin Sheng

CoRR, 2023

Improving Out-of-Distribution Detection Performance using Synthetic Outlier Exposure Generated by Visual Foundation Models.

Gitaek Kwon, Jaeyoung Kim, Hong-Jun Choi, Byung-Moo Yoon, Sungchul Choi, Kyu-Hwan Jung

Proceedings of the 34th British Machine Vision Conference 2023, 2023

2022

Bag of Tricks for Developing Diabetic Retinopathy Analysis Framework to Overcome Data Scarcity.

Gitaek Kwon, Eunjin Kim, Sunho Kim, Seongwon Bak, Minsung Kim, Jaeyoung Kim

Proceedings of the Mitosis Domain Generalization and Diabetic Retinopathy Analysis, 2022

2020

Generalized Convolutional Forest Networks for Domain Generalization and Visual Recognition.

Jongbin Ryu, Gitaek Kwon, Ming-Hsuan Yang, Jongwoo Lim

Proceedings of the 8th International Conference on Learning Representations, 2020