We introduce a simple yet surprisingly powerful model to incorporate attention in action
recognition and human object interaction tasks. Our proposed attention module can be …

Despite the advances in Human Activity Recognition, the ability to exploit the dynamics of
human body motion in videos has yet to be achieved. In numerous recent works …

We propose a novel method of exploiting informative video segments by learning segment
weights for temporal action localization in untrimmed videos. Informative video segments …

One-shot action recognition aims at recognizing actions in unseen classes in cases where
only one training video is provided. Compared with one-shot image recognition, one-shot …

Human action recognition is a constantly evolving field that is driven by numerous
applications. In recent years, significant progress has been made in this area due to the …

Human action recognition in videos is an important task with a broad range of applications.
In this study, we improve the performance of recurrent attention convolutional neural network …

Since a large number of videos have sprung up, the human-centric visual understanding
tasks especially human action recognition (HAR) is under great demand. The key issue of …