N Ma, Z Wu, Y Cheung, Y Guo, Y Gao… - Tsinghua Science …, 2022 - ieeexplore.ieee.org
Human action recognition and posture prediction aim to recognize and predict respectively the action and postures of persons in videos. They are both active research topics in …
X Shu, J Yang, R Yan, Y Song - IEEE Transactions on Circuits …, 2022 - ieeexplore.ieee.org
This work focuses on the task of elderly activity recognition, which is a challenging task due to the existence of individual actions and human-object interactions in elderly activities …
In practical applications, multi-view data depicting objects from assorted perspectives can facilitate the accuracy increase of learning algorithms. However, given multi-view data, there …
Skeleton-based gesture recognition methods have achieved high success using Graph Convolutional Network (GCN), which commonly uses an adjacency matrix to model the …
Deep multi-view representation learning focuses on training a unified low-dimensional representation for data with multiple sources or modalities. With the rapidly growing attention …
Human action recognition has been applied in many fields, such as video surveillance and human computer interaction, where it helps to improve performance. Numerous reviews of …
C Wu, XJ Wu, J Kittler - … transactions on circuits and systems for …, 2021 - ieeexplore.ieee.org
Skeleton representation has attracted a great deal of attention recently as an extremely robust feature for human action recognition. However, its non-Euclidean structural …
S Xu, H Rao, X Hu, J Cheng… - IEEE Transactions on …, 2021 - ieeexplore.ieee.org
We focus on unsupervised representation learning for skeleton based action recognition. Existing unsupervised approaches usually learn action representations by motion prediction …
Recently, part-based deep models have achieved promising performance in person re- identification (Re-ID), yet these models ignore the inter-local relationship of the …