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 …

Abstract Human Activity Recognition (HAR) plays a significant role in the everyday life of
people because of its ability to learn extensive high-level information about human activity …

We present a unified perspective on tackling various human-centric video tasks by learning
human motion representations from large-scale and heterogeneous data resources …

Human behavior understanding with unmanned aerial vehicles (UAVs) is of great
significance for a wide range of applications, which simultaneously brings an urgent …

Research on depth-based human activity analysis achieved outstanding performance and
demonstrated the effectiveness of 3D representation for action recognition. The existing …

The discovery of several machine learning and deep learning techniques has paved the
way to extend the reach of humans in various real-world applications. Classical machine …

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 …

In 3D human action recognition, limited supervised data makes it challenging to fully tap into
the modeling potential of powerful networks such as transformers. As a result, researchers …

Skeleton-based human action recognition has recently drawn increasing attentions with the
availability of large-scale skeleton datasets. The most crucial factors for this task lie in two …

There are substantial instruction videos on the Internet, which enables us to acquire
knowledge for completing various tasks. However, most existing datasets for instruction …