Ego-exo4d: Understanding skilled human activity from first-and third-person perspectives
Abstract We present Ego-Exo4D a diverse large-scale multimodal multiview video dataset
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …
and benchmark challenge. Ego-Exo4D centers around simultaneously-captured egocentric …
Assembly101: A large-scale multi-view video dataset for understanding procedural activities
Assembly101 is a new procedural activity dataset featuring 4321 videos of people
assembling and disassembling 101" take-apart" toy vehicles. Participants work without fixed …
assembling and disassembling 101" take-apart" toy vehicles. Participants work without fixed …
A survey of vision-based human action evaluation methods
Q Lei, JX Du, HB Zhang, S Ye, DS Chen - Sensors, 2019 - mdpi.com
The fields of human activity analysis have recently begun to diversify. Many researchers
have taken much interest in develo** action recognition or action prediction methods. The …
have taken much interest in develo** action recognition or action prediction methods. The …
Human movement datasets: An interdisciplinary sco** review
Movement dataset reviews exist but are limited in coverage, both in terms of size and
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
research discipline. While topic-specific reviews clearly have their merit, it is critical to have a …
Pose-guided matching based on deep learning for assessing quality of action on rehabilitation training
Y Qiu, J Wang, Z **, H Chen, M Zhang… - … Signal Processing and …, 2022 - Elsevier
The application of pose assessment on rehabilitation training has gradually received
attention in recent years. However, current evaluation indicators of these methods are mostly …
attention in recent years. However, current evaluation indicators of these methods are mostly …
Finediving: A fine-grained dataset for procedure-aware action quality assessment
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 …
to predict the score, which is less reliable due to the non-transparent inference process and …
Group-aware contrastive regression for action quality assessment
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 …
large variations in scores. Most existing approaches tackle this problem by regressing a …
A survey on video action recognition in sports: Datasets, methods and applications
To understand human behaviors, action recognition based on videos is a common
approach. Compared with image-based action recognition, videos provide much more …
approach. Compared with image-based action recognition, videos provide much more …
Uncertainty-aware score distribution learning for action quality assessment
Assessing action quality from videos has attracted growing attention in recent years. Most
existing approaches usually tackle this problem based on regression algorithms, which …
existing approaches usually tackle this problem based on regression algorithms, which …
What and how well you performed? a multitask learning approach to action quality assessment
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 …
a description of the action and its quality? Current AQA and skills assessment approaches …