4 papers
Fourier-Attentive Representation Learning: A Fourier-Guided Framework for Few-Shot Generalization in Vision-Language Models
Hieu Dinh Trung Pham, Huy Minh Nhat Nguyen, Cuong Tuan Nguyen
Large-scale pre-trained Vision-Language Models (VLMs) have demonstrated strong few-shot learning capabilities. However, these methods typically learn holistic representations where…
Link prediction Graph Neural Networks for structure recognition of Handwritten Mathematical Expressions
Cuong Tuan Nguyen, Ngoc Tuan Nguyen, Triet Hoang Minh Dao +2
We propose a Graph Neural Network (GNN)-based approach for Handwritten Mathematical Expression (HME) recognition by modeling HMEs as graphs, where nodes represent symbols and edges…
SDPA++: A General Framework for Self-Supervised Denoising with Patch Aggregation
Huy Minh Nhat Nguyen, Triet Hoang Minh Dao, Chau Vinh Hoang Truong +1
Optical Coherence Tomography (OCT) is a widely used non-invasive imaging technique that provides detailed three-dimensional views of the retina, which are essential for the early a…
Rethinking Top Probability from Multi-view for Distracted Driver Behaviour Localization
Quang Vinh Nguyen, Vo Hoang Thanh Son, Chau Truong Vinh Hoang +3
Naturalistic driving action localization task aims to recognize and comprehend human behaviors and actions from video data captured during real-world driving scenarios. Previous st…