Video action recognition is widely applied in video indexing, intelligent surveillance,
multimedia understanding, and other fields. Recently, it was greatly improved by …

Abstract Human Action Recognition (HAR) is a challenging task used in sports such as
volleyball, basketball, soccer, and tennis to detect players and recognize their actions and …

While today's video recognition systems parse snapshots or short clips accurately, they
cannot connect the dots and reason across a longer range of time yet. Most existing video …

This paper presents a simple method for" do as I do" motion transfer: given a source video of
a person dancing, we can transfer that performance to a novel (amateur) target after only a …

Background Active PTZ cameras serve as a practical alternative to high-resolution
omnidirectional cameras in wide-area surveillance systems. On the one hand, flexible pan …

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 …

Our world offers a never-ending stream of visual stimuli, yet today's vision systems only
accurately recognize patterns within a few seconds. These systems understand the present …

Recently, video transformers have shown great success in video understanding, exceeding
CNN performance; yet existing video transformer models do not explicitly model objects …

Recognizing human activities from video sequences or still images is a challenging task due
to problems, such as background clutter, partial occlusion, changes in scale, viewpoint …

Human activity recognition (HAR) aims to recognize activities from a series of observations
on the actions of subjects and the environmental conditions. The vision‐based HAR …