Abstract: An encoder-decoder attention-based model has been employed to predict human action using a 3D skeleton-based human activity dataset. It offers and advocates a non-autoregressive approach to ...
DETR-based methods, which use multi-layer transformer decoders to refine object queries iteratively, have shown promising performance in 3D indoor object detection. However, the scene point features ...
Abstract: Implementation of the autonomous walk training plays an important role for patients with lower limb paralysis, which however is still an open question presently due to the extreme difficulty ...