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GEAR: From Dynamic Encoding to Dynamic Activation in Social Trajectory Prediction

Chen, Jiaheng et al.
arXiv (OAI Expanded) · Papers
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artificial-intelligencecomputer-vision-and-pattern-recognition
Human trajectory prediction requires modeling both individual motion patterns and social interactions among agents. Existing methods have made substantial progress by using attention mechanisms, graph structures, and temporal encoders to capture dynamic social context. However, most of them primaril
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