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Abstract: Given their flexibility and encouraging performance, deep-learning models are becoming standard for motion prediction in autonomous driving. However, with great flexibility comes a lack of ...
Abstract: In this letter, we present a learning method to solve the unlabelled motion problem with motion constraints and space constraints in 2D space for a large number of robots. To solve the ...
The implementation of STGAE: Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising in ISMAR 2021. We propose a method for denoising hand motion data in mixed reality using a spatial-temporal ...
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