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Human motion prediction

Action prediction is a pre-fact video understanding task, which focuses on future states, in other words, it needs to reason about future states or infer action labels before the end of action execution.

Papers

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Showing 41–50 of 162 papers

TitleStatusHype
Recent Advances in Deterministic Human Motion Prediction: A Review—0
MoMask: Generative Masked Modeling of 3D Human MotionsCode3
Dynamic Dense Graph Convolutional Network for Skeleton-based Human Motion Prediction—0
Dynamic Compositional Graph Convolutional Network for Efficient Composite Human Motion PredictionCode0
Orientation-Aware Leg Movement Learning for Action-Driven Human Motion Prediction—0
Enhanced Human-Robot Collaboration using Constrained Probabilistic Human-Motion Prediction—0
InterDiff: Generating 3D Human-Object Interactions with Physics-Informed DiffusionCode2
Multiscale Residual Learning of Graph Convolutional Sequence Chunks for Human Motion PredictionCode0
Auxiliary Tasks Benefit 3D Skeleton-based Human Motion PredictionCode1
Spatio-Temporal Branching for Motion Prediction using Motion IncrementsCode0
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