In vision-based action recognition, spatio-temporal features from different modalities are
used for recognizing activities. Temporal modeling is a long challenge of action recognition …

Abstract Vision-based Human Action Recognition (HAR) is a hot topic in computer vision.
Recently, deep-based HAR has shown promising results. HAR using a single data modality …

Semi-supervised video learning is an increasingly popular approach for improving video
understanding tasks by utilizing large-scale unlabeled videos along with a few labels …

Featured Application Emotion classification based on facial expression and physiological
signals. Abstract This study aimed to classify emotion based on facial expression and …

Abstract Human Action Recognition (HAR) is a fundamental challenge that smart
surveillance systems must overcome. With the rising affordability of capturing human actions …

In action recognition that relies on visual information, activities are recognized through
spatio-temporal features from different modalities. The challenge of temporal modeling has …

Sedentary behaviors are shown to be hazardous to human health. Detecting sedentary
behaviors in a ubiquitous way can be realized by the promising WiFi sensing technique. The …

Multimodal data provide complementary information on the same context, leading to
performance improvement in video action recognition. However, in reality, not all modalities …

Technological innovations in deep learning models have enabled reasonably close
solutions to a wide variety of computer vision tasks such as object detection, face …

Recently Smart Home concept has been a popular choice as a solution for emerging
security related problems. The primary objective of this research was to create a cyber-threat …