4 papers
Information-theoretic Multimodal Representation Learning for Electrocardiogram Signals
Phu X. Nguyen, Konstantinos Kontras, Wei Dai +5
Electrocardiograms (ECGs) are widely used non-invasive measurements of cardiac activity and play a central role in clinical diagnosis. Recent multimodal approaches align ECG signal…
ECG-Soup: Harnessing Multi-Layer Synergy for ECG Foundation Models
Phu X. Nguyen, Huy Phan, Hieu Pham +3
Transformer-based foundation models for Electrocardiograms (ECGs) have recently achieved impressive performance in many downstream applications.
Robust, General, and Low Complexity Acoustic Scene Classification Systems and An Effective Visualization for Presenting a Sound Scene Context
Lam Pham, Dusan Salovic, Anahid Jalali +4
In this paper, we present a comprehensive analysis of Acoustic Scene Classification (ASC), the task of identifying the scene of an audio recording from its acoustic signature. In p…
An Audio-Visual Dataset and Deep Learning Frameworks for Crowded Scene Classification
Lam Pham, Dat Ngo, Phu X. Nguyen +2
This paper presents a task of audio-visual scene classification (SC) where input videos are classified into one of five real-life crowded scenes: 'Riot', 'Noise-Street', 'Firework-…