Uplift and Upsample: Efficient 3D Human Pose Estimation with Uplifting Transformers
Author:
Affiliation:
1. University of Augsburg,Machine Learning and Computer Vision Lab
Publisher
IEEE
Link
http://xplorestaging.ieee.org/ielx7/10030081/10030084/10030339.pdf?arnumber=10030339
Reference58 articles.
1. PoseTriplet: Co-evolving 3D Human Pose Estimation, Imitation, and Hallucination under Self-supervision
2. MixSTE: Seq2seq Mixed Spatio-Temporal Encoder for 3D Human Pose Estimation in Video
3. Human 3D Pose Estimation with a Tilting Camera for Social Mobile Robot Interaction
4. Spatial Temporal Graph Convolutional Networks for Skeleton-Based Action Recognition
5. Mask r-cnn;he;Proceedings of the IEEE International Conference on Computer Vision,2017
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