84 citations · 110 across the 22 of their papers we have counts for
14 papers · 1 filter
Geometric Features Enhanced Human-Object Interaction Detection
Manli Zhu, Edmond S. L. Ho, Shuang Chen +2
Cameras are essential vision instruments to capture images for pattern detection and measurement. Human-object interaction (HOI) detection is one of the most popular pattern detect…
Two-Person Interaction Augmentation with Skeleton Priors
Baiyi Li, Edmond S. L. Ho, Hubert P. H. Shum +1
Close and continuous interaction with rich contacts is a crucial aspect of human activities (e.g. hugging, dancing) and of interest in many domains like activity recognition, motio…
Pose-based Tremor Type and Level Analysis for Parkinson's Disease from Video
Haozheng Zhang, Edmond S. L. Ho, Xiatian Zhang +2
Purpose:Current methods for diagnosis of PD rely on clinical examination. The accuracy of diagnosis ranges between 73% and 84%, and is influenced by the experience of the clinical…
INCLG: Inpainting for Non-Cleft Lip Generation with a Multi-Task Image Processing Network
Shuang Chen, Amir Atapour-Abarghouei, Edmond S. L. Ho +1
We present a software that predicts non-cleft facial images for patients with cleft lip, thereby facilitating the understanding, awareness and discussion of cleft lip surgeries. To…
Focalized Contrastive View-invariant Learning for Self-supervised Skeleton-based Action Recognition
Qianhui Men, Edmond S. L. Ho, Hubert P. H. Shum +1
Learning view-invariant representation is a key to improving feature discrimination power for skeleton-based action recognition. Existing approaches cannot effectively remove the i…
CP-AGCN: Pytorch-based Attention Informed Graph Convolutional Network for Identifying Infants at Risk of Cerebral Palsy
Haozheng Zhang, Edmond S. L. Ho, Hubert P. H. Shum
Early prediction is clinically considered one of the essential parts of cerebral palsy (CP) treatment. We propose to implement a low-cost and interpretable classification system fo…
A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction
Manli Zhu, Qianhui Men, Edmond S. L. Ho +2
Musculoskeletal and neurological disorders are the most common causes of walking problems among older people, and they often lead to diminished quality of life. Analyzing walking m…
A Feasibility Study on Image Inpainting for Non-cleft Lip Generation from Patients with Cleft Lip
Shuang Chen, Amir Atapour-Abarghouei, Jane Kerby +4
A Cleft lip is a congenital abnormality requiring surgical repair by a specialist. The surgeon must have extensive experience and theoretical knowledge to perform surgery, and Arti…
Pose-based Tremor Classification for Parkinson's Disease Diagnosis from Video
Haozheng Zhang, Edmond S. L. Ho, Xiatian Zhang +1
Parkinson's disease (PD) is a progressive neurodegenerative disorder that results in a variety of motor dysfunction symptoms, including tremors, bradykinesia, rigidity and postural…
A Skeleton-aware Graph Convolutional Network for Human-Object Interaction Detection
Manli Zhu, Edmond S. L. Ho, Hubert P. H. Shum
Detecting human-object interactions is essential for comprehensive understanding of visual scenes. In particular, spatial connections between humans and objects are important cues…
Cerebral Palsy Prediction with Frequency Attention Informed Graph Convolutional Networks
Haozheng Zhang, Hubert P. H. Shum, Edmond S. L. Ho
Early diagnosis and intervention are clinically considered the paramount part of treating cerebral palsy (CP), so it is essential to design an efficient and interpretable automatic…
Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework
Kevin D. McCay, Edmond S. L. Ho, Dimitrios Sakkos +4
Providing early diagnosis of cerebral palsy (CP) is key to enhancing the developmental outcomes for those affected. Diagnostic tools such as the General Movements Assessment (GMA),…
Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention
Manli Zhu, Qianhui Men, Edmond S. L. Ho +2
Early prediction of cerebral palsy is essential as it leads to early treatment and monitoring. Deep learning has shown promising results in biomedical engineering thanks to its cap…
Illumination-Based Data Augmentation for Robust Background Subtraction
Dimitrios Sakkos, Hubert P. H. Shum, Edmond S. L. Ho
A core challenge in background subtraction (BGS) is handling videos with sudden illumination changes in consecutive frames. In this paper, we tackle the problem from a data point-o…