Micro-expression recognition remains challenging because facial motions are subtle, brief, and vulnerable to appearance, illumination, and registration variations. This paper proposes a facial micro-expression recognition method based on 3D residual magnification. Detailed facial meshes are reconstructed frame by frame...
Pedestrians are the vulnerable group in road traffic, so understanding the behavior of pedestrians and accurately predicting their crossing intentions is of great significance for traffic safety. Most existing methods treat the prediction task as a binary classification problem. However, such traditional methods usuall...
Pedestrian crossing intention prediction is a core perceptual capability for intelligent vehicles operating in urban traffic environments. Most existing intention-prediction methods assume that pedestrian motion observations are complete, whereas in real traffic scenes, vehicles, other pedestrians, and roadside infrast...
Cross-dataset evaluation of wearable sleep staging depends on whether normalization uses statistics from the held-out dataset. We examine this issue in four public wearable datasets using a fixed three-class temporal fusion pipeline and leave-one-dataset-out (LODO) evaluation. We compare strict source-only normalizatio...
