Web: http://arxiv.org/abs/2203.01474

June 16, 2022, 1:13 a.m. | Chongyang Zhong, Lei Hu, Zihao Zhang, Yongjing Ye, Shihong Xia

cs.CV updates on arXiv.org arxiv.org

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. Some recent works have shown that Graph Convolutional
Networks(GCN) are instrumental in modeling the relationship between different
joints. However, considering the variants and diverse action types in human
motion data, the cross-dependency of the spatio-temporal relationships will be
difficult to depict due to the decoupled modeling strategy, which may also
exacerbate the problem of insufficient …

arxiv cv human prediction temporal

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