Ju-Hyeon Nam

Research

I am Ju-Hyeon Nam, an Ph.D student in the Department of Computer Engineering at Inha University, South Korea. I am interested in training a reliable deep learning model against various corruptions, perturbations, adversarial attacks using data augmentation. And, I also interested in designing modality-agnostic domain generalizable medical image segmentation model, such as Colonoscopy, Microscopy, Dermoscopy, Ultrasound, and Radiology.

Before I started Ph.D student, I received the bachelor’s degree in mathematics from Inha University, South Korea, in 2021 (Summa Cumme Laude) and the M.S. degree in computer engineering from Inha University, South Korea, in 2023.

For more details about me, please see the publications page or contact e-mail jhnam0514@inha.edu.

Home

International Journal Publications

Nam, Ju-Hyeon, and Sang-Chul Lee. "FSDA: Frequency re-scaling in data augmentation for corruption-robust image classification." Pattern Recognition (2024): 110332.

Nam, Ju-Hyeon, and Sang-Chul Lee. "Random image frequency aggregation dropout in image classification for deep convolutional neural networks." Computer Vision and Image Understanding 232 (2023): 103684.

Gu, A-Rom, Ju-Hyeon Nam, and Sang-Chul Lee. "FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention." IEEE Access 10 (2022): 62751-62762.

Syazwany, Nur Suriza, Ju-Hyeon Nam, and Sang-Chul Lee. "MM-BiFPN: multi-modality fusion network with Bi-FPN for MRI brain tumor segmentation." IEEE Access 9 (2021): 160708-160720.

International Conference Publications

Ju-Hyeon Nam, Nur Suriza Syazwany, Su Jung Kim and Sang-Chul Lee, "Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention", in proceedings on Computer Vision and Pattern Recognition (CVPR2024), Seattle, USA, 2024

Nam, Ju-Hyeon, et al. "M3FPolypSegNet: Segmentation Network with Multi-Frequency Feature Fusion for Polyp Localization in Colonoscopy Images." 2023 IEEE International Conference on Image Processing (ICIP). IEEE, 2023.

Nam, Ju-Hyeon, and Sang-Chul Lee. "Frequency filtering for data augmentation in X-Ray image classification." 2021 IEEE International Conference on Image Processing (ICIP). IEEE, 2021.