Pairwise contrastive learning network for action quality assessment
Considering the complexity of modeling diverse actions of athletes, action quality
assessment (AQA) in sports is a challenging task. A common solution is to tackle this …
assessment (AQA) in sports is a challenging task. A common solution is to tackle this …
Likert scoring with grade decoupling for long-term action assessment
Long-term action quality assessment is a task of evaluating how well an action is performed,
namely, estimating a quality score from a long video. Intuitively, longterm actions generally …
namely, estimating a quality score from a long video. Intuitively, longterm actions generally …
Adaptive stage-aware assessment skill transfer for skill determination
Skill determination aims to evaluate how well a participant performs a specific action. The
task is rather challenging, due to the diversity of action types and the scarcity of samples …
task is rather challenging, due to the diversity of action types and the scarcity of samples …
EGCN++: A New Fusion Strategy for Ensemble Learning in Skeleton-Based Rehabilitation Exercise Assessment
Skeleton-based exercise assessment focuses on evaluating the correctness or quality of an
exercise performed by a subject. Skeleton data provide two groups of features (ie, position …
exercise performed by a subject. Skeleton data provide two groups of features (ie, position …
Fine-grained spatio-temporal parsing network for action quality assessment
Action Quality Assessment (AQA) plays an important role in video analysis, which is applied
to evaluate the quality of specific actions, ie, sports activities. However, it is still challenging …
to evaluate the quality of specific actions, ie, sports activities. However, it is still challenging …
A contrastive learning network for performance metric and assessment of physical rehabilitation exercises
L Yao, Q Lei, H Zhang, J Du… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Human activity analysis in the legal monitoring environment plays an important role in the
physical rehabilitation field, as it helps patients with physical injuries improve their …
physical rehabilitation field, as it helps patients with physical injuries improve their …
Localization-assisted Uncertainty Score Disentanglement Network for Action Quality Assessment
Y Ji, L Ye, H Huang, L Mao, Y Zhou, L Gao - Proceedings of the 31st …, 2023 - dl.acm.org
Action Quality Assessment (AQA) has wide applications in various scenarios. Regarding the
AQA of long-term figure skating, the big challenge lies in semantic context feature learning …
AQA of long-term figure skating, the big challenge lies in semantic context feature learning …
Multi-skeleton structures graph convolutional network for action quality assessment in long videos
In most existing action quality assessment (AQA) methods, how to score simple actions in
short-term sport videos has been widely explored. Recently, a few studies have attempted to …
short-term sport videos has been widely explored. Recently, a few studies have attempted to …
Uncertainty-driven action quality assessment
Automatic action quality assessment (AQA) has attracted increasing attention due to its wide
applications. However, most existing AQA methods employ deterministic models to predict …
applications. However, most existing AQA methods employ deterministic models to predict …
Label-reconstruction-based pseudo-subscore learning for action quality assessment in sporting events
HB Zhang, LJ Dong, Q Lei, LJ Yang, JX Du - Applied Intelligence, 2023 - Springer
Most existing action quality assessment (AQA) methods provide only an overall quality score
for the input video and lack an evaluation of each substage of the movement process; thus …
for the input video and lack an evaluation of each substage of the movement process; thus …