Since the dawn of Humanity, to communicate both abstract and concrete ideas, visualization
through visual imagery has been an effective way. With the advancement of scientific …

Action recognition based on skeleton data has recently witnessed increasing attention and
progress. State-of-the-art approaches adopting Graph Convolutional networks (GCNs) can …

Facial expression recognition (FER) has attracted much attention in recent years due to its
wide applications. While some progress has been achieved thanks to the emergence of …

Facial expression recognition (FER) becomes more challenging in the wild due to
unconstrained conditions, such as the different illumination, pose changes, and occlusion of …

Person-dependent facial expression recognition has received considerable research
attention in recent years. Unfortunately, different identities can adversely influence …

Human tends to locate the facial landmarks with heavy occlusion by their relative position to
the easily identified landmarks. The clue is defined as the landmark inherent relation while it …

The existing single dictionary learning algorithms are applied to face recognition and
achieve satisfactory results. However, their performance is poor when dealing with noisy …

Learning 3D skeleton-based representation for gesture recognition has progressively stood
out because of its invariance to the viewpoint and background dynamics of video. Typically …

In view of the problem that the current deep learning network does not fully extract and fuse
spatio-temporal information in the action recognition task, resulting in low recognition …

Deep Learning architectures, albeit successful in mostcomputer vision tasks, were designed
for data with an un-derlying Euclidean structure, which is not usually fulfilledsince pre …