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 …

Human activity recognition is essential in many domains, including the medical and smart
home sectors. Using deep learning, we conduct a comprehensive survey of current state …

Being able to map the activities of others into one's own point of view is one fundamental
human skill even from a very early age. Taking a step toward understanding this human …

Point cloud data have been widely explored due to its superior accuracy and robustness
under various adverse situations. Meanwhile, deep neural networks (DNNs) have achieved …

Unsupervised domain adaptive video action recognition aims to recognize actions of a
target domain using a model trained with only out-of-domain (source) annotations. The …

Device-free activity recognition plays a crucial role in smart building, security, and human–
computer interaction, which shows its strength in its convenience and cost-efficiency …

Video-text retrieval is an emerging stream in both computer vision and natural language
processing communities, which aims to find relevant videos given text queries. In this paper …

This paper strives for activity recognition under domain shift, for example caused by change
of scenery or camera viewpoint. The leading approaches reduce the shift in activity …

Event cameras are novel bio-inspired sensors, which asynchronously capture pixel-level
intensity changes in the form of" events". Due to their sensing mechanism, event cameras …

As an increasingly popular task in multimedia information retrieval, video moment retrieval
(VMR) aims to localize the target moment from an untrimmed video according to a given …