Ju-Hyeon Nam

According to our database, Ju-Hyeon Nam authored at least 13 papers between 2021 and 2025.

Collaborative distances:

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

2025

M2SFormer: Multi-Spectral and Multi-Scale Attention with Edge-Aware Difficulty Guidance for Image Forgery Localization.

Ju-Hyeon Nam, Dong-Hyun Moon, Sang-Chul Lee

CoRR, June, 2025

Test-Time Modality Generalization for Medical Image Segmentation.

Ju-Hyeon Nam, Sang-Chul Lee

CoRR, February, 2025

TransGUNet: Transformer Meets Graph-based Skip Connection for Medical Image Segmentation.

Ju-Hyeon Nam, Nur Suriza Syazwany, Sang-Chul Lee

CoRR, February, 2025

M3FPolypSegNet++: Adaptive Gaussian frequency decomposition with multi-task learning for polyp segmentation.

Ju-Hyeon Nam, Dong-Hyeon Kang, Sang-Chul Lee

Neurocomputing, 2025

2024

FSDA: Frequency re-scaling in data augmentation for corruption-robust image classification.

Ju-Hyeon Nam, Sang-Chul Lee

Pattern Recognit., 2024

Integrating multimodal contrastive learning with prototypical domain alignment for unsupervised domain adaptation of time series.

Seo-Hyeong Park, Nur Suriza Syazwany, Ju-Hyeon Nam, Sang-Chul Lee

Eng. Appl. Artif. Intell., 2024

Vizecgnet: Visual ECG Image Network for Cardiovascular Diseases Classification With Multi-Modal Training and Knowledge Distillation.

Ju-Hyeon Nam, Seo-Hyung Park, Su Jung Kim, Sang-Chul Lee

Proceedings of the IEEE International Conference on Image Processing, 2024

Modality-Agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention.

Ju-Hyeon Nam, Nur Suriza Syazwany, Su Jung Kim, Sang-Chul Lee

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

2023

Random image frequency aggregation dropout in image classification for deep convolutional neural networks.

Ju-Hyeon Nam, Sang-Chul Lee

Comput. Vis. Image Underst., July, 2023

M3FPolypSegNet: Segmentation Network with Multi-Frequency Feature Fusion for Polyp Localization in Colonoscopy Images.

Ju-Hyeon Nam, Seo-Hyeong Park, Nur Suriza Syazwany, Yerim Jung, Yu-Han Im, Sang-Chul Lee

Proceedings of the IEEE International Conference on Image Processing, 2023

2022

FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention.

A-Rom Gu, Ju-Hyeon Nam, Sang-Chul Lee

IEEE Access, 2022

2021

MM-BiFPN: Multi-Modality Fusion Network With Bi-FPN for MRI Brain Tumor Segmentation.

Nur Suriza Syazwany, Ju-Hyeon Nam, Sang-Chul Lee

IEEE Access, 2021

Frequency Filtering for Data Augmentation in X-Ray Image Classification.

Ju-Hyeon Nam, Sang-Chul Lee

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