In recent years, deep neural networks have been successful in both industry and academia,
especially for computer vision tasks. The great success of deep learning is mainly due to its …

Research in automatic analysis of facial expressions mainly focuses on recognising the
seven basic ones. However, compound expressions are more diverse and represent the …

As various databases of facial expressions have been made accessible over the last few
decades, the Facial Expression Recognition (FER) task has gotten a lot of interest. The …

Human visual perception is efficient, flexible and context-sensitive. The Bayesian brain view
explains this with probabilistic perceptual inference integrating prior experience and …

To achieve accurate and low-cost 3D object detection, existing methods propose to benefit
camera-based multi-view detectors with spatial cues provided by the LiDAR modality, eg …

Existing AU detection algorithms are mainly based on appearance information extracted
from 2D images, and well-established facial biomechanics that governs 3D facial skin …

Privacy-preserving federated learning is distributed machine learning where multiple
collaborators train a model through protected gradients. To achieve robustness to users …