Ju-Hyeon Nam, Ph.D. was selected as one of two recipients of the Inha Talent Award (인하인재상, President's Award), chosen from graduating master's and doctoral students in the top 5%.
Ju-Hyeon Nam, Ph.D. has successfully completed his Ph.D. dissertation defense.
Our paper "SARIF: Segment Anything for Robust Image Forensics" is accepted to ECCV 2026, Malmö, Sweden. Read more
Our team earned 3rd Place in the Rip Current Detection and Segmentation Challenge at the CVPR 2026 Workshop, Denver, USA. Read more
Our paper "Frequency-Based Boundary-Guided Attention Network for Domain Generalizable Polyp Segmentation from Colonoscopy Images" is accepted to Elsevier Artificial Intelligence in Medicine (IF=6.2).
Our paper "M3FPolypSegNet++: Adaptive Gaussian Frequency Decomposition with Multi-Task Learning for Polyp Segmentation" is accepted to Elsevier Neurocomputing (IF=6.5). Read more
Our paper "M2SFormer: Multi-Spectral and Multi-Scale Attention with Edge-Aware Difficulty Guidance for Image Forgery Localization" is accepted to ICCV 2025, Hawaii, USA and selected as a Highlight paper. Read more
Our paper "Modality-agnostic Domain Generalizable Medical Image Segmentation by Multi-Frequency in Multi-Scale Attention" is accepted to CVPR 2024, Seattle, USA. Read more
We participate in Inha University's AI Graduate School and BK21 Plus programs in artificial intelligence.