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cs.CV2024
STARS: Self-supervised Tuning for 3D Action Recognition in Skeleton Sequences
Soroush Mehraban, Mohammad Javad Rajabi, Andrea Iaboni +1
Self-supervised pretraining methods with masked prediction demonstrate remarkable within-dataset performance in skeleton-based action recognition. However, we show that, unlike con…
cs.CV2024
Benchmarking Skeleton-based Motion Encoder Models for Clinical Applications: Estimating Parkinson's Disease Severity in Walking Sequences
Vida Adeli, Soroush Mehraban, Irene Ballester +4
This study investigates the application of general human motion encoders trained on large-scale human motion datasets for analyzing gait patterns in PD patients. Although these mod…