Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation

@article{Park2022BuildingST,
  title={Building Spatio-temporal Transformers for Egocentric 3D Pose Estimation},
  author={Jin-Hui Park and Kimathi Kaai and Saad Hossain and Norikatsu Sumi and Sirisha Rambhatla and Paul W. Fieguth},
  journal={ArXiv},
  year={2022},
  volume={abs/2206.04785}
}
Egocentric 3D human pose estimation (HPE) from images is challenging due to severe self-occlusions and strong distortion introduced by the fish-eye view from the head mounted camera. Although existing works use intermediate heatmap-based representations to counter distortion with some success, addressing self-occlusion remains an open problem. In this work, we leverage information from past frames to guide our self-attention-based 3D HPE estimation procedure — Ego-STAN. Specifically, we build a… 

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