Skeleton-based action segmentation requires recognizing composable actio...
Automatic off-line design is an attractive approach to implementing robo...
Self-supervised video representation learning aimed at maximizing simila...
Video anomaly detection in surveillance systems with only video-level la...
Current self-supervised approaches for skeleton action representation
le...
Object pose estimation is crucial for robotic applications and augmented...
The ability to successfully grasp objects is crucial in robotics, as it
...
Action recognition based on skeleton data has recently witnessed increas...
This work aims at building a large scale dataset with daily-living activ...