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08/28/2023
LAC: Latent Action Composition for Skeleton-based Action Segmentation
Skeleton-based action segmentation requires recognizing composable actio...
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05/25/2023
Automatic off-line design of robot swarms: exploring the transferability of control software and design methods across different platforms
Automatic off-line design is an attractive approach to implementing robo...
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05/10/2023
Self-Supervised Video Representation Learning via Latent Time Navigation
Self-supervised video representation learning aimed at maximizing simila...
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01/19/2023
Human-Scene Network: A Novel Baseline with Self-rectifying Loss for Weakly supervised Video Anomaly Detection
Video anomaly detection in surveillance systems with only video-level la...
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08/31/2022
ViA: View-invariant Skeleton Action Representation Learning via Motion Retargeting
Current self-supervised approaches for skeleton action representation le...
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05/18/2022
PhoCaL: A Multi-Modal Dataset for Category-Level Object Pose Estimation with Photometrically Challenging Objects
Object pose estimation is crucial for robotic applications and augmented...
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12/06/2021
DemoGrasp: Few-Shot Learning for Robotic Grasping with Human Demonstration
The ability to successfully grasp objects is crucial in robotics, as it ...
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07/19/2021
UNIK: A Unified Framework for Real-world Skeleton-based Action Recognition
Action recognition based on skeleton data has recently witnessed increas...
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10/28/2020
