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Predicting future motion based on historical motion sequence is a fundamental problem in computer vision, and it has wide applications in autonomous driving and robotics.
Adaptive mixtures of local experts
Robert A Jacobs, Michael I Jordan, Steven J Nowlan, and Geoffrey E Hinton · 1991
Earlier work this paper cites.
Hierarchical mixtures of experts and the em algorithm
Michael I Jordan and Robert A Jacobs · 1994
Earlier work this paper cites.
Style machines
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Earlier work this paper cites.
Gaussian process dynamical models for human motion
Jack M Wang, David J Fleet, and Aaron Hertzmann · 2007
Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Structural-rnn: Deep learning on spatio-temporal graphs
Ashesh Jain, Amir R Zamir, Silvio Savarese, and Ashutosh Saxena · 2016
Earlier work this paper cites.
Deep representation learning for human motion prediction and classification
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Learning human motion models for long-term predictions
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Earlier work this paper cites.
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Earlier work this paper cites.
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Earlier work this paper cites.
Adversarial geometry-aware human motion prediction
Liang-Yan Gui, Yu-Xiong Wang, Xiaodan Liang, and José MF Moura · 2018
Earlier work this paper cites.
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Chen Li, Zhen Zhang, Wee Sun Lee, and Gim Hee Lee · 2018
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Timo von Marcard, Roberto Henschel, Michael J Black, Bodo Rosenhahn, and Gerard Pons-Moll · 2018
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Learning dynamic relationships for 3d human motion prediction
Qiongjie Cui, Huaijiang Sun, and Fei Yang · 2020
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Dynamic multiscale graph neural networks for 3d skeleton based human motion prediction
Maosen Li, Siheng Chen, Yangheng Zhao, Ya Zhang, Yanfeng Wang, and Qi Tian · 2020
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Character controllers using motion vaes
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History repeats itself: Human motion prediction via motion attention
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Local motion phases for learning multi-contact character movements
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Symbiotic graph neural networks for 3d skeleton-based human action recognition and motion prediction
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Multiscale spatio-temporal graph neural networks for 3d skeleton-based motion prediction
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Motion prediction using trajectory cues
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Multi-level motion attention for human motion prediction
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Space-time-separable graph convolutional network for pose forecasting
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Simple baseline for single human motion forecasting
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