Uncertainty quantification (UQ) methods play a pivotal role in reducing the impact of
uncertainties during both optimization and decision making processes. They have been …

Due to the subjective annotation and the inherent inter-class similarity of facial expressions,
one of key challenges in Facial Expression Recognition (FER) is the annotation ambiguity …

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 …

Contrastive learning has been proven beneficial for self-supervised skeleton-based action
recognition. Most contrastive learning methods utilize carefully designed augmentations to …

Background There is a need to standardize training in robotic surgery, including objective
assessment for accreditation. This systematic review aimed to identify objective tools for …

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 …

Action quality assessment (AQA) has become an emerging topic since it can be extensively
applied in numerous scenarios. However, most existing methods and datasets focus on …

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