8 citations · 14 across the 10 of their papers we have counts for
4 papers · 1 filter
Skeleton-Snippet Contrastive Learning with Multiscale Feature Fusion for Action Localization
Qiushuo Cheng, Jingjing Liu, Catherine Morgan +2
The self-supervised pretraining paradigm has achieved great success in learning 3D action representations for skeleton-based action recognition using contrastive learning. However,…
CARE-PD: A Multi-Site Anonymized Clinical Dataset for Parkinson's Disease Gait Assessment
Vida Adeli, Ivan Klabucar, Javad Rajabi +25
Objective gait assessment in Parkinson's Disease (PD) is limited by the absence of large, diverse, and clinically annotated motion datasets. We introduce CARE-PD, the largest publi…
Trajectory-guided Motion Perception for Facial Expression Quality Assessment in Neurological Disorders
Shuchao Duan, Amirhossein Dadashzadeh, Alan Whone +1
Automated facial expression quality assessment (FEQA) in neurological disorders is critical for enhancing diagnostic accuracy and improving patient care, yet effectively capturing…
GAITGen: Disentangled Motion-Pathology Impaired Gait Generative Model -- Bringing Motion Generation to the Clinical Domain
Vida Adeli, Soroush Mehraban, Majid Mirmehdi +6
Gait analysis is crucial for the diagnosis and monitoring of movement disorders like Parkinson's Disease. While computer vision models have shown potential for objectively evaluati…