Search Results for author:
Found 3 papers, 0 papers with code
An Asymmetric Modeling for Action Assessment
However, existing methods for action assessment are mostly limited to individual actions, especially lacking modeling of the asymmetric relations among agents (e. g., between persons and objects); and this limitation undermines their ability to assess actions containing asymmetrically interactive motion patterns, since there always exists subordination between agents in many interactive actions.
Action Assessment by Joint Relation Graphs
We propose two novel modules, the Joint Commonality Module and the Joint Difference Module, for joint motion learning.
Deep Bilinear Learning for RGB-D Action Recognition
In this paper, we focus on exploring modality-temporal mutual information for RGB-D action recognition.
Cannot find the paper you are looking for? You can
Submit a new open access paper.
