Human Action Recognition (HAR) aims to understand human behavior and assign a label to
each action. It has a wide range of applications, and therefore has been attracting increasing …

Video action recognition is one of the representative tasks for video understanding. Over the
last decade, we have witnessed great advancements in video action recognition thanks to …

Derived from rapid advances in computer vision and machine learning, video analysis tasks
have been moving from inferring the present state to predicting the future state. Vision-based …

With the advancement of computer vision, human action recognition (HAR) has shown its
broad research worth and application prospects in a wide range of fields such as intelligent …

Training robust deep video representations has proven to be much more challenging than
learning deep image representations. This is in part due to the enormous size of raw video …

Most state-of-the-art methods for action recognition rely on a two-stream architecture that
processes appearance and motion independently. In this paper, we claim that considering …

Motion representation plays a vital role in human action recognition in videos. In this study,
we introduce a novel compact motion representation for video action recognition, named …

Motion, as the uniqueness of a video, has been critical to the development of video
understanding models. Modern deep learning models leverage motion by either executing …

The work in this paper is driven by the question how to exploit the temporal cues available in
videos for their accurate classification, and for human action recognition in particular? Thus …

Analyzing videos of human actions involves understanding the temporal relationships
among video frames. State-of-the-art action recognition approaches rely on traditional …