8 citations · 14 across the 10 of their papers we have counts for
12 papers
TraMP-LLaMA: Generative Interpretability with Decoupled Instruction Tuning for Facial Expression Quality Assessment
Shuchao Duan, Alan Whone, Hossein Rahmani +2
Existing facial expression quality assessment (FEQA) methods typically produce only a severity score, without explicitly communicating the observable facial motion evidence that su…
Every Step of the Way: Video-based Parkinsonian Turning Step Counting
Qiushuo Cheng, Jingjing Liu, Catherine Morgan +2
As a prominent symptom of Parkinson's disease (PD), turning impairment is evaluated through parameters such as turning angle, duration, and particularly, the number of steps requir…
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…
QAFE-Net: Quality Assessment of Facial Expressions with Landmark Heatmaps
Shuchao Duan, Amirhossein Dadashzadeh, Alan Whone +1
Facial expression recognition (FER) methods have made great inroads in categorising moods and feelings in humans. Beyond FER, pain estimation methods assess levels of intensity in…
PECoP: Parameter Efficient Continual Pretraining for Action Quality Assessment
Amirhossein Dadashzadeh, Shuchao Duan, Alan Whone +1
The limited availability of labelled data in Action Quality Assessment (AQA), has forced previous works to fine-tune their models pretrained on large-scale domain-general datasets.…
Multimodal Indoor Localisation in Parkinson's Disease for Detecting Medication Use: Observational Pilot Study in a Free-Living Setting
Ferdian Jovan, Catherine Morgan, Ryan McConville +3
Parkinson's disease (PD) is a slowly progressive, debilitating neurodegenerative disease which causes motor symptoms including gait dysfunction. Motor fluctuations are alterations…
Multimodal Indoor Localisation for Measuring Mobility in Parkinson's Disease using Transformers
Ferdian Jovan, Ryan McConville, Catherine Morgan +3
Parkinson's disease (PD) is a slowly progressive debilitating neurodegenerative disease which is prominently characterised by motor symptoms. Indoor localisation, including number…
Auxiliary Learning for Self-Supervised Video Representation via Similarity-based Knowledge Distillation
Amirhossein Dadashzadeh, Alan Whone, Majid Mirmehdi
Despite the outstanding success of self-supervised pretraining methods for video representation learning, they generalise poorly when the unlabeled dataset for pretraining is small…
Exploring Motion Boundaries in an End-to-End Network for Vision-based Parkinson's Severity Assessment
Amirhossein Dadashzadeh, Alan Whone, Michal Rolinski +1
Evaluating neurological disorders such as Parkinson's disease (PD) is a challenging task that requires the assessment of several motor and non-motor functions. In this paper, we pr…