This paper proposes a two-stream network with a novel spatial-temporal multi-head self-
attention mechanism for action recognition in extreme low resolution (LR) videos. The new …

Human activity recognition (HAR) plays a crucial role in various domains, including
surveillance systems, human-computer interactions, and healthcare monitoring. This paper …

This article presents the Joints and Trajectory-pooled 3D-Deep Positional Attention-based
Bidirectional Recurrent convolutional Descriptors (JTPADBRD) for recognizing the human …

Human Action Recognition (HAR) is a highly notable area of study in contemporary
computer vision. Many investigations focused on recognizing a person's actions from video …

It is difficult to extract appropriate features of blurry digital video because of the low quality
image for which traditional forgery detection methods are not effective. The video is often …