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Found 3 papers, 1 papers with code
Human Part-wise 3D Motion Context Learning for Sign Language Recognition
In order to utilize part-wise motion context, we propose the alternating combination of a part-wise encoding Transformer (PET) and a whole-body encoding Transformer (WET).
Rethinking Self-Supervised Visual Representation Learning in Pre-training for 3D Human Pose and Shape Estimation
Recently, a few self-supervised representation learning (SSL) methods have outperformed the ImageNet classification pre-training for vision tasks such as object detection.
MultiAct: Long-Term 3D Human Motion Generation from Multiple Action Labels
The action-conditioned methods generate a sequence of motion from a single action.
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