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cs.CV2024
Multimodal Sense-Informed Prediction of 3D Human Motions
Zhenyu Lou, Qiongjie Cui, Haofan Wang +2
Predicting future human pose is a fundamental application for machine intelligence, which drives robots to plan their behavior and paths ahead of time to seamlessly accomplish huma…
cs.CV2023
GCNext: Towards the Unity of Graph Convolutions for Human Motion Prediction
Xinshun Wang, Qiongjie Cui, Chen Chen +1
The past few years has witnessed the dominance of Graph Convolutional Networks (GCNs) over human motion prediction.Various styles of graph convolutions have been proposed, with eac…
cs.CV2023
Expressive Forecasting of 3D Whole-body Human Motions
Pengxiang Ding, Qiongjie Cui, Min Zhang +3
Human motion forecasting, with the goal of estimating future human behavior over a period of time, is a fundamental task in many real-world applications. However, existing works ty…