1 citations · 1 across the 13 of their papers we have counts for
13 papers
Rhythm-Structured Predictive Learning for Remote Photoplethysmography
Ba-Thinh Nguyen, Huu-Dung Nguyen, Thi-Duyen Ngo +1
Remote photoplethysmography (rPPG) estimates physiological signals from facial videos by analyzing subtle pulse induced skin color variations. Despite recent progress, existing sel…
BTS-rPPG: Orthogonal Butterfly Temporal Shifting for Remote Photoplethysmography
Ba-Thinh Nguyen, Thi-Duyen Ngo, Thanh-Trung Huynh +2
Remote photoplethysmography (rPPG) enables contactless physiological sensing from facial videos by analyzing subtle appearance variations induced by blood circulation. However, mod…
HOT: Harmonic-Constrained Optimal Transport for Remote Photoplethysmography Domain Adaptation
Ba-Thinh Nguyen, Thi-Duyen Ngo, Thanh-Trung Huynh +2
Remote photoplethysmography (rPPG) enables non-contact physiological measurement from facial videos; however, its practical deployment is often hindered by substantial performance…
Dual-View Optical Flow for 4D Micro-Expression Recognition - A Multi-Stream Fusion Attention Approach
Luu Tu Nguyen, Thi Bich Phuong Man, Vu Tram Anh Khuong +2
Micro-expression recognition is vital for affective computing but remains challenging due to the extremely brief, low-intensity facial motions involved and the high-dimensional nat…
Reperio-rPPG: Relational Temporal Graph Neural Networks for Periodicity Learning in Remote Physiological Measurement
Ba-Thinh Nguyen, Thach-Ha Ngoc Pham, Hoang-Long Duc Nguyen +2
Remote photoplethysmography (rPPG) is an emerging contactless physiological sensing technique that leverages subtle color variations in facial videos to estimate vital signs such a…
A Novel Combined Optical Flow Approach for Comprehensive Micro-Expression Recognition
Vu Tram Anh Khuong, Thi Bich Phuong Man, Luu Tu Nguyen +2
Facial micro-expressions are brief, involuntary facial movements that reveal hidden emotions. Most Micro-Expression Recognition (MER) methods that rely on optical flow typically fo…
Improving Micro-Expression Recognition with Phase-Aware Temporal Augmentation
Vu Tram Anh Khuong, Luu Tu Nguyen, Thanh Ha Le +1
Micro-expressions (MEs) are brief, involuntary facial movements that reveal genuine emotions, typically lasting less than half a second. Recognizing these subtle expressions is cri…
FMANet: A Novel Dual-Phase Optical Flow Approach with Fusion Motion Attention Network for Robust Micro-expression Recognition
Luu Tu Nguyen, Vu Tram Anh Khuong, Thi Bich Phuong Man +2
Facial micro-expressions, characterized by their subtle and brief nature, are valuable indicators of genuine emotions. Despite their significance in psychology, security, and behav…
DIANet: A Phase-Aware Dual-Stream Network for Micro-Expression Recognition via Dynamic Images
Vu Tram Anh Khuong, Luu Tu Nguyen, Thi Bich Phuong Man +2
Micro-expressions are brief, involuntary facial movements that typically last less than half a second and often reveal genuine emotions. Accurately recognizing these subtle express…
Adaptive Fusion Network with Temporal-Ranked and Motion-Intensity Dynamic Images for Micro-expression Recognition
Thi Bich Phuong Man, Luu Tu Nguyen, Vu Tram Anh Khuong +2
Micro-expressions (MEs) are subtle, transient facial changes with very low intensity, almost imperceptible to the naked eye, yet they reveal a person genuine emotion. They are of g…
Apex-Centered Spatio-Temporal Rank Pooling and Gradient Attention for Micro-Expression Recognition
Luu Tu Nguyen, Vu Tram Anh Khuong, Thanh Ha Le +1
Micro-expression recognition (MER) is a challenging task due to the subtle and fleeting nature of micro-expressions. Traditional input modalities, such as Apex Frame, Optical Flow,…
Resolve Highway Conflict in Multi-Autonomous Vehicle Controls with Local State Attention
Xuan Duy Ta, Bang Giang Le, Thanh Ha Le +1
In mixed-traffic environments, autonomous vehicles must adapt to human-controlled vehicles and other unusual driving situations. This setting can be framed as a multi-agent reinfor…
Discriminate natural versus loudspeaker emitted speech
Thanh-Ha Le, Philippe Gilberton, Ngoc Q. K. Duong
In this work, we address a novel, but potentially emerging, problem of discriminating the natural human voices and those played back by any kind of audio devices in the context of…