English(EN) Long-Term Prediction of Local and Global Human Motion with Occlusion Recovery

新的Transformer模型可进行具有遮挡恢复能力的长期人类运动预测

作者 PulseAugur 编辑部 · [2 个来源] · 2026-06-26 09:49

研究人员开发了一种新颖的非自回归Transformer模型，用于预测人类运动的长期趋势。该模型通过关注局部姿态和全局运动预测，并结合遮挡恢复来处理缺失的关节数据，从而解决了现有自回归方法的局限性。所提出的方法旨在提高在机器人、自动驾驶和医疗保健等领域的实际应用中的准确性和适用性。 AI

影响这项研究可以增强AI在需要准确的长期人类运动预测和遮挡处理的应用中的能力。

排序理由该集群包含一篇详细介绍新模型和方法的学术论文。

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arXiv cs.CV TIER_1 English(EN) · Qiaoyue Yang, Sven Heutger, Christopher Niemann, Magnus Jung, Ayoub Al-Hamadi, Sven Wachsmuth · 2026-06-29 04:00

具有遮挡恢复的局部和全局人类运动的长期预测

arXiv:2606.27900v1 Announce Type: new Abstract: Human motion describes the three-dimensional full-body movement of a person. Anticipating such motion holds significant relevance across a wide range of application domains such as human-robot interaction, autonomous driving, animat…
arXiv cs.CV TIER_1 English(EN) · Sven Wachsmuth · 2026-06-26 09:49

具有遮挡恢复的局部和全局人类运动的长期预测

Human motion describes the three-dimensional full-body movement of a person. Anticipating such motion holds significant relevance across a wide range of application domains such as human-robot interaction, autonomous driving, animation, and healthcare. In recent research, spatial…