354 citations · 356 across the 11 of their papers we have counts for
15 papers
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…
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…
Evaluation Protocols and Validation for Cameras in Indoor Healthcare Monitoring
Amirhossein Dadashzadeh, Jingjing Liu, Qianhui Men +5
Camera-based monitoring systems are increasingly adopted in healthcare settings for the continuous assessment of patient movement and activities. However, their technical performan…
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…
Probability-Conserving Flow Guidance
Parsa Esmati, Junha Hyung, Amirhossein Dadashzadeh +2
Diffusion and flow-based generative models dominate visual synthesis, with guidance aligning samples to user input and improving perceptual quality. However, Classifier-Free Guidan…
Learning to Generate Cross-Task Unexploitable Examples
Haoxuan Qu, Qiuchi Xiang, Yujun Cai +4
Unexploitable example generation aims to transform personal images into their unexploitable (unlearnable) versions before they are uploaded online, thereby preventing unauthorized…
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…
Unsupervised Cross-Domain 3D Human Pose Estimation via Pseudo-Label-Guided Global Transforms
Jingjing Liu, Zhiyong Wang, Xinyu Fan +3
Existing 3D human pose estimation methods often suffer in performance, when applied to cross-scenario inference, due to domain shifts in characteristics such as camera viewpoint, p…
Co-STAR: Collaborative Curriculum Self-Training with Adaptive Regularization for Source-Free Video Domain Adaptation
Amirhossein Dadashzadeh, Parsa Esmati, Majid Mirmehdi
Recent advances in Source-Free Unsupervised Video Domain Adaptation (SFUVDA) leverage vision-language models to enhance pseudo-label generation. However, challenges such as noisy p…
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.…
Video-SwinUNet: Spatio-temporal Deep Learning Framework for VFSS Instance Segmentation
Chengxi Zeng, Xinyu Yang, David Smithard +3
This paper presents a deep learning framework for medical video segmentation. Convolution neural network (CNN) and transformer-based methods have achieved great milestones in medic…