84 citations · 110 across the 22 of their papers we have counts for
24 papers
Uncertainty-Aware Federated Learning for Infant Movement Analysis
Edmond S. L. Ho
Infant movement analysis provides valuable biomarkers for the early identification of neurodevelopmental disorders. Recent advances in deep learning have enabled automated analysis…
Artificial Intelligence for Geometry-Based Feature Extraction, Analysis and Synthesis in Artistic Images: A Survey
Mridula Vijendran, Jingjing Deng, Shuang Chen +2
Artificial Intelligence significantly enhances the visual art industry by analyzing, identifying and generating digitized artistic images. This review highlights the substantial be…
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…
Social Interaction-Aware Dynamical Models and Decision Making for Autonomous Vehicles
Luca Crosato, Kai Tian, Hubert P. H Shum +3
Interaction-aware Autonomous Driving (IAAD) is a rapidly growing field of research that focuses on the development of autonomous vehicles (AVs) that are capable of interacting safe…
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…
Interaction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embedding
Aman Goel, Qianhui Men, Edmond S. L. Ho
Synthesizing multi-character interactions is a challenging task due to the complex and varied interactions between the characters. In particular, precise spatiotemporal alignment b…
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…
Interaction-aware Decision-making for Automated Vehicles using Social Value Orientation
Luca Crosato, Hubert P. H. Shum, Edmond S. L. Ho +1
Motion control algorithms in the presence of pedestrians are critical for the development of safe and reliable Autonomous Vehicles (AVs). Traditional motion control algorithms rely…
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…
Predicting Sleeping Quality using Convolutional Neural Networks
Vidya Rohini Konanur Sathish, Wai Lok Woo, Edmond S. L. Ho
Identifying sleep stages and patterns is an essential part of diagnosing and treating sleep disorders. With the advancement of smart technologies, sensor data related to sleeping p…
Improving Deep Learning Model Robustness Against Adversarial Attack by Increasing the Network Capacity
Marco Marchetti, Edmond S. L. Ho
Nowadays, we are more and more reliant on Deep Learning (DL) models and thus it is essential to safeguard the security of these systems. This paper explores the security issues in…
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…
GAN-based Reactive Motion Synthesis with Class-aware Discriminators for Human-human Interaction
Qianhui Men, Hubert P. H. Shum, Edmond S. L. Ho +1
Creating realistic characters that can react to the users' or another character's movement can benefit computer graphics, games and virtual reality hugely. However, synthesizing su…
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…
Formation Control for UAVs Using a Flux Guided Approach
John Hartley, Hubert P. H. Shum, Edmond S. L. Ho +2
Existing studies on formation control for unmanned aerial vehicles (UAV) have not considered encircling targets where an optimum coverage of the target is required at all times. Su…
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…
Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling
He Wang, Edmond S. L. Ho, Hubert P. H. Shum +1
Data-driven modeling of human motions is ubiquitous in computer graphics and computer vision applications, such as synthesizing realistic motions or recognizing actions. Recent res…