6 papers
MP-MoE: Matrix Profile-Guided Mixture of Experts for Precipitation Forecasting
Huyen Ngoc Tran, Dung Trung Tran, Hong Nguyen +2
Precipitation forecasting remains a persistent challenge in tropical regions like Vietnam, where complex topography and convective instability often limit the accuracy of Numerical…
CAKE: Real-time Action Detection via Motion Distillation and Background-aware Contrastive Learning
Hieu Hoang, Dung Trung Tran, Hong Nguyen +1
Online Action Detection (OAD) systems face two primary challenges: high computational cost and insufficient modeling of discriminative temporal dynamics against background motion.…
Adaptive Rainfall Forecasting from Multiple Geographical Models Using Matrix Profile and Ensemble Learning
Dung T. Tran, Huyen Ngoc Huyen, Hong Nguyen +2
Rainfall forecasting in Vietnam is highly challenging due to its diverse climatic conditions and strong geographical variability across river basins, yet accurate and reliable fore…
VRAE: Vertical Residual Autoencoder for License Plate Denoising and Deblurring
Cuong Nguyen, Dung T. Tran, Hong Nguyen +2
In real-world traffic surveillance, vehicle images captured under adverse weather, poor lighting, or high-speed motion often suffer from severe noise and blur. Such degradations si…
MOOSE: Pay Attention to Temporal Dynamics for Video Understanding via Optical Flows
Hong Nguyen, Dung Tran, Hieu Hoang +2
Many motion-centric video analysis tasks, such as atomic actions, detecting atypical motor behavior in individuals with autism, or analyzing articulatory motion in real-time MRI of…
Semise: Semi-supervised learning for severity representation in medical image
Dung T. Tran, Hung Vu, Anh Tran +3
This paper introduces SEMISE, a novel method for representation learning in medical imaging that combines self-supervised and supervised learning. By leveraging both labeled and au…