A Graph Attention Spatio-temporal Convolutional Network for 3D Human Pose Estimation in Video
Junfa Liu Juan Rojas Yihui Li Zhijun Liang Yisheng Guan Ning Xi Haifei Zhu Junfa Liu Juan Rojas Yihui Li Zhijun Liang Yisheng Guan Ning Xi Haifei Zhu
Spatio-temporal information is key to resolve occlusion and depth ambiguity in 3D human pose estimation. Previous methods have focused on either temporal contexts or local-to-global architectures that embed fixed-length spatiotemporal information. To date, there have not been effective proposals to simultaneously and flexibly capture varying spatiotemporal sequences and effectively achieves real-t...