Researchers have recently focused their attention on vision-based hand gesture
recognition. However, due to several constraints, achieving an effective vision-driven hand …

The lack of resolution of imaging systems has critically adverse impacts on the recognition
and performance of biometric systems, especially in the case of long range biometrics and …

The interest in action and gesture recognition has grown considerably in the last years. In
this paper, we present a survey on current deep learning methodologies for action and …

Automatic emotion recognition has become an important trend in many artificial intelligence
(AI) based applications and has been widely explored in recent years. Most research in the …

Emotion recognition has a key role in affective computing. Recently, fine-grained emotion
analysis, such as compound facial expression of emotions, has attracted high interest of …

As an emerging research topic for proximity service (ProSe), automatic emotion recognition
enables the machines to understand the emotional changes of human beings which can not …

Video superresolution (SR) techniques are of essential usages for high-resolution display
devices due to the current lack of high-resolution videos. Although many algorithms have …

The recent phenomenal interest in convolutional neural networks (CNNs) must have made it
inevitable for the super-resolution (SR) community to explore its potential. The response has …

Super-resolution is generally defined as a process to obtain high-resolution images form
inputs of low-resolution observations, which has attracted quantity of attention from …

Interest in automatic action and gesture recognition has grown considerably in the last few
years. This is due in part to the large number of application domains for this type of …