A partial skeleton weighing just 70 pounds is bridging a critical gap in the fossil record and redefining the timeline of ...
Abstract: Multi-person motion prediction is an emerging and intricate task with broad real-world applications. Unlike single person motion prediction, it considers not just the skeleton structures or ...
Abstract: Graph convolutional networks (GCN) have recently been studied to exploit the graph topology of the human body for skeleton-based action recognition. However, most of these methods ...
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