Motron: Multimodal Probabilistic Human Motion Forecasting

Author:

Salzmann Tim1,Pavone Marco2,Ryll Markus1

Affiliation:

1. Technical University of Munich

2. Stanford University

Publisher

IEEE

Cited by 11 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. TransFusion: A Practical and Effective Transformer-Based Diffusion Model for 3D Human Motion Prediction;IEEE Robotics and Automation Letters;2024-07

2. Toward Reliable Human Pose Forecasting With Uncertainty;IEEE Robotics and Automation Letters;2024-05

3. DE-TGN: Uncertainty-Aware Human Motion Forecasting Using Deep Ensembles;IEEE Robotics and Automation Letters;2024-03

4. Incorporating Physics Principles for Precise Human Motion Prediction;2024 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV);2024-01-03

5. Hybrid Directed Hypergraph Learning and Forecasting of Skeleton-Based Human Poses;Cyborg and Bionic Systems;2024-01

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