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Multiscale 3D-Shift Graph Convolution Network for Emotion Recognition From Human Actions Abstract: Emotion recognition from body gestures is challenging since similar emotions can be expressed by ...

Tracking 3D objects accurately and consistently is crucial for autonomous vehicles, enabling more reliable downstream tasks such as trajectory prediction and motion planning. Based on the substantial ...

LiDAR Situational Graphs (S-Graphs) is a ROS2 package for generating in real-time four-layered hierarchical factor graphs for single or multi-floor scenes. It reepresents a scene graph using 3D LiDAR ...

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