Graph Neural Networks (GNNs) have gained momentum in graph representation learning
and boosted the state of the art in a variety of areas, such as data mining (eg, social network …

Assembly101 is a new procedural activity dataset featuring 4321 videos of people
assembling and disassembling 101" take-apart" toy vehicles. Participants work without fixed …

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 …

Temporal relations among multiple action segments play an important role in action
segmentation especially when observations are limited (eg, actions are occluded by other …

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 …

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

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 …