9 citations · 11 across the 4 of their papers we have counts for
4 papers
A Modular Multi-stage Lightweight Graph Transformer Network for Human Pose and Shape Estimation from 2D Human Pose
Ayman Ali, Ekkasit Pinyoanuntapong, Pu Wang +1
In this research, we address the challenge faced by existing deep learning-based human mesh reconstruction methods in balancing accuracy and computational efficiency. These methods…
Skeleton-based Human Action Recognition via Convolutional Neural Networks (CNN)
Ayman Ali, Ekkasit Pinyoanuntapong, Pu Wang +1
Recently, there has been a remarkable increase in the interest towards skeleton-based action recognition within the research community, owing to its various advantageous features,…
GaitSADA: Self-Aligned Domain Adaptation for mmWave Gait Recognition
Ekkasit Pinyoanuntapong, Ayman Ali, Kalvik Jakkala +5
mmWave radar-based gait recognition is a novel user identification method that captures human gait biometrics from mmWave radar return signals. This technology offers privacy prote…
GaitMixer: Skeleton-based Gait Representation Learning via Wide-spectrum Multi-axial Mixer
Ekkasit Pinyoanuntapong, Ayman Ali, Pu Wang +2
Most existing gait recognition methods are appearance-based, which rely on the silhouettes extracted from the video data of human walking activities. The less-investigated skeleton…