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HSTFormer: Hierarchical Spatial-Temporal Transformers for 3D Human Pose Estimation
To mitigate this issue, we propose Hierarchical Spatial-Temporal transFormers (HSTFormer) to capture multi-level joints' spatial-temporal correlations from local to global gradually for accurate 3D HPE.
Ranked #10 on
3D Human Pose Estimation
on MPI-INF-3DHP
Shoupa: An AI System for Early Diagnosis of Parkinson's Disease
Parkinson's Disease (PD) is a progressive nervous system disorder that has affected more than 5. 8 million people, especially the elderly.
Soft Sensing Model Visualization: Fine-tuning Neural Network from What Model Learned
To understand how the proposed model works, the deep visualization approach is applied.
