Taxi demand prediction has recently attracted increasing research interest due to its huge
potential application in large-scale intelligent transportation systems. However, most of the …

Facial expression recognition (FER) has received significant attention in the past decade
with witnessed progress, but data inconsistencies among different FER datasets greatly …

Due to the widespread applications in real-world scenarios, metro ridership prediction is a
crucial but challenging task in intelligent transportation systems. However, conventional …

Deep convolutional neural networks have been successfully applied to face detection
recently. Despite making remarkable progress, most of the existing detection methods only …

Three-dimensional face dense alignment and reconstruction in the wild is a challenging
problem as partial facial information is commonly missing in occluded and large pose face …

Automatic facial expression analysis remains challenging due to its low recognition
accuracy and poor robustness. In this study, we utilized active learning and support vector …

Data inconsistency and bias are inevitable among different facial expression recognition
(FER) datasets due to subjective annotating process and different collecting conditions …

Facial landmark detection in the wild remains a challenging problem in computer vision.
Deep learning-based methods currently play a leading role in solving this. However, these …

Face recognition technology has been used in many ways, such as in the authentication and
identification process. The object raised is a piece of face image that does not have …

The imbalanced number and the high similarity of samples in expression database can lead
to overfitting in facial recognition neural networks. To address this problem, based on edge …