1 citations · 3 across the 4 of their papers we have counts for
4 papers
FISHER: Gradient-Decoupled Hierarchical Multi-Task Learning for Fine-Grained Aquatic Species Recognition
Phuc H. Nguyen, Ba Hung Ngo, Mai Phuong Tran +2
Fine-grained recognition of aquatic species is challenging due to subtle morphological differences and long-tailed distributions, where ultra-rare species are underrepresented. A n…
HiGDA: Hierarchical Graph of Nodes to Learn Local-to-Global Topology for Semi-Supervised Domain Adaptation
Ba Hung Ngo, Doanh C. Bui, Nhat-Tuong Do-Tran +1
The enhanced representational power and broad applicability of deep learning models have attracted significant interest from the research community in recent years. However, these…
LiteGPT: Large Vision-Language Model for Joint Chest X-ray Localization and Classification Task
Khai Le-Duc, Ryan Zhang, Ngoc Son Nguyen +5
Vision-language models have been extensively explored across a wide range of tasks, achieving satisfactory performance; however, their application in medical imaging remains undere…
Learning CNN on ViT: A Hybrid Model to Explicitly Class-specific Boundaries for Domain Adaptation
Ba Hung Ngo, Nhat-Tuong Do-Tran, Tuan-Ngoc Nguyen +2
Most domain adaptation (DA) methods are based on either a convolutional neural networks (CNNs) or a vision transformers (ViTs). They align the distribution differences between doma…