activity
20212026
collaborators

8 papers

cs.CV2026

SynthGait-19K: A Physically Grounded Synthetic Video Dataset for Gait Parameter Estimation

Soroush Mehraban, Xin Lei Lin, Vida Adeli +5

Accurate estimation of clinically meaningful gait parameters from monocular video is important for scalable mobility assessment, yet progress is limited by the small scale, restric…

cs.CV2025

FastHMR: Accelerating Human Mesh Recovery via Token and Layer Merging with Diffusion Decoding

Soroush Mehraban, Andrea Iaboni, Babak Taati

Recent transformer-based models for 3D Human Mesh Recovery (HMR) have achieved strong performance but often suffer from high computational cost and complexity due to deep transform…

cs.CV2025

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…

cs.CV2025

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…

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…

cs.CV2023

Pose2Gait: Extracting Gait Features from Monocular Video of Individuals with Dementia

Caroline Malin-Mayor, Vida Adeli, Andrea Sabo +5

Video-based ambient monitoring of gait for older adults with dementia has the potential to detect negative changes in health and allow clinicians and caregivers to intervene early…

cs.CV2021

Estimating Parkinsonism Severity in Natural Gait Videos of Older Adults with Dementia

Andrea Sabo, Sina Mehdizadeh, Andrea Iaboni +1

Drug-induced parkinsonism affects many older adults with dementia, often causing gait disturbances. New advances in vision-based human pose-estimation have opened possibilities for…