2 citations · 3 across the 6 of their papers we have counts for
5 papers · 1 filter
SARIF: Segment Anything for Robust Image Forensics
Dong-Hyun Moon, Ju-Hyeon Nam, Sang-Chul Lee
Image forgery localization remains challenging due to diverse manipulation techniques and distribution shifts. Existing forgery localization models achieve high accuracy on benchma…
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
Image editing techniques have rapidly advanced, facilitating both innovative use cases and malicious manipulation of digital images. Deep learning-based methods have recently achie…
Test-Time Modality Generalization for Medical Image Segmentation
Ju-Hyeon Nam, Sang-Chul Lee
Generalizable medical image segmentation is essential for ensuring consistent performance across diverse unseen clinical settings. However, existing methods often overlook the capa…
TransGUNet: Transformer Meets Graph-based Skip Connection for Medical Image Segmentation
Ju-Hyeon Nam, Nur Suriza Syazwany, Sang-Chul Lee
Skip connection engineering is primarily employed to address the semantic gap between the encoder and decoder, while also integrating global dependencies to understand the relation…
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 +1
An electrocardiogram (ECG) captures the heart's electrical signal to assess various heart conditions. In practice, ECG data is stored as either digitized signals or printed images.…