Human activity recognition has been an important area of computer vision research since
the 1980s. Various approaches have been proposed with a great portion of them addressing …

Future buildings will offer new convenience, comfort, and efficiency possibilities to their
residents. Changes will occur to the way people live as technology involves people's lives …

摘要随着摄像头安装数量的日益增多, 以及智慧城市和公共安全需求的日益增长,
采用人工的视频监控方式已经远远不能满足需要, 因此智能视频监控技术应运而生并迅速成为 …

Skeleton sequence representation learning has shown great advantages for action
recognition due to its promising ability to model human joints and topology. However, the …

In this paper, we address self-supervised representation learning from human skeletons for
action recognition. Previous methods, which usually learn feature presentations from a …

Automatic emotion recognition has become a trending research topic in the past decade.
While works based on facial expressions or speech abound, recognizing affect from body …

2)(西安交通大学人工智能与机器人研究所, 陕西西安, 710049) 摘要作为类脑计算领域的一个
重要研究成果, 深度卷积神经网络已经广泛应用到计算机视觉, 自然语言处理, 信息检索 …

Human actions can be represented by the trajectories of skeleton joints. Traditional methods
generally model the spatial structure and temporal dynamics of human skeleton with hand …

This paper strives for self-supervised learning of a feature space suitable for skeleton-based
action recognition. Our proposal is built upon learning invariances to input skeleton …

Recently, skeleton based action recognition gains more popularity due to cost-effective
depth sensors coupled with real-time skeleton estimation algorithms. Traditional approaches …