3 papers
eess.IV2025
UP2D: Uncertainty-aware Progressive Pseudo-label Denoising for Source-Free Domain Adaptive Medical Image Segmentation
Quang-Khai Bui-Tran, Thanh-Huy Nguyen, Manh D. Ho +5
Medical image segmentation models face severe performance drops under domain shifts, especially when data sharing constraints prevent access to source images. We present a novel Un…
cs.CV2025
IGL-DT: Iterative Global-Local Feature Learning with Dual-Teacher Semantic Segmentation Framework under Limited Annotation Scheme
Dinh Dai Quan Tran, Hoang-Thien Nguyen, Thanh-Huy Nguyen +3
Semi-Supervised Semantic Segmentation (SSSS) aims to improve segmentation accuracy by leveraging a small set of labeled images alongside a larger pool of unlabeled data. Recent adv…
cs.CV2024
Emotic Masked Autoencoder with Attention Fusion for Facial Expression Recognition
Bach Nguyen-Xuan, Thien Nguyen-Hoang, Thanh-Huy Nguyen +1
Facial Expression Recognition (FER) is a critical task within computer vision with diverse applications across various domains. Addressing the challenge of limited FER datasets, wh…