The fields of human activity analysis have recently begun to diversify. Many researchers
have taken much interest in developing action recognition or action prediction methods. The …

Most existing action quality assessment methods rely on the deep features of an entire video
to predict the score, which is less reliable due to the non-transparent inference process and …

Assessing action quality is challenging due to the subtle differences between videos and
large variations in scores. Most existing approaches tackle this problem by regressing a …

To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …

Assessing action quality from videos has attracted growing attention in recent years. Most
existing approaches usually tackle this problem based on regression algorithms, which …

Can performance on the task of action quality assessment (AQA) be improved by exploiting
a description of the action and its quality? Current AQA and skills assessment approaches …

Abstract Action Quality Assessment (AQA) is important for action understanding and
resolving the task poses unique challenges due to subtle visual differences. Existing state-of …

Surgical skills have a great influence on surgical safety and patients' well-being. Traditional
assessment of surgical skills involves strenuous manual efforts, which lacks efficiency and …

In recent years, assessing action quality from videos has attracted growing attention in
computer vision community and human-computer interaction. Most existing approaches …

We present a new model to assess the performance of actions from videos, through graph-
based joint relation modelling. Previous works mainly focused on the whole scene including …