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 …

Weather forecasting is important for science and society. At present, the most accurate
forecast system is the numerical weather prediction (NWP) method, which represents …

Scale is the primary factor for building a powerful foundation model that could well
generalize to a variety of downstream tasks. However, it is still challenging to train video …

Temporal modeling still remains challenging for action recognition in videos. To mitigate this
issue, this paper presents a new video architecture, termed as Temporal Difference Network …

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 …

With the burgeoning growth of online video platforms and the escalating volume of video
content, the demand for proficient video understanding tools has intensified markedly. Given …

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 …

The rapid development of facial manipulation techniques has aroused public concerns in
recent years. Existing deepfake video detection approaches attempt to capture the discrim …

Contrastive learning has revolutionized the self-supervised image representation learning
field and recently been adapted to the video domain. One of the greatest advantages of …

Traditional video action detectors typically adopt the two-stage pipeline, where a person
detector is first employed to yield actor boxes and then 3D RoIAlign is used to extract actor …