2 citations · 6 across the 15 of their papers we have counts for
16 papers
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…
Structure-Augmented Standard Plane Detection with Temporal Aggregation in Blind-Sweep Fetal Ultrasound
Keli Niu, He Zhao, Qianhui Men
In low-resource settings, blind-sweep ultrasound provides a practical and accessible method for identifying fetal growth restriction. However, unlike freehand ultrasound which is s…
Physics-Based Motion Tracking of Contact-Rich Interacting Characters
Xiaotang Zhang, Ziyi Chang, Qianhui Men +1
Motion tracking has been an important technique for imitating human-like movement from large-scale datasets in physics-based motion synthesis. However, existing approaches focus on…
Motion In-Betweening for Densely Interacting Characters
Xiaotang Zhang, Ziyi Chang, Qianhui Men +1
Motion in-betweening is the problem to synthesize movement between keyposes. Traditional research focused primarily on single characters. Extending them to densely interacting char…
Real-time and Controllable Reactive Motion Synthesis via Intention Guidance
Xiaotang Zhang, Ziyi Chang, Qianhui Men +1
We propose a real-time method for reactive motion synthesis based on the known trajectory of input character, predicting instant reactions using only historical, user-controlled mo…
Asynchronous Federated Continual Segmentation with Evolving Clients and Label Spaces
Can Peng, Qianhui Men, Pramit Saha +5
Federated learning seeks to foster collaboration among distributed clients while preserving the privacy of their local data. Traditional federated learning methods typically assume…
Pose-GuideNet: Automatic Scanning Guidance for Fetal Head Ultrasound from Pose Estimation
Qianhui Men, Xiaoqing Guo, Aris T. Papageorghiou +1
3D pose estimation from a 2D cross-sectional view enables healthcare professionals to navigate through the 3D space, and such techniques initiate automatic guidance in many image-g…
MMSummary: Multimodal Summary Generation for Fetal Ultrasound Video
Xiaoqing Guo, Qianhui Men, J. Alison Noble
We present the first automated multimodal summary generation system, MMSummary, for medical imaging video, particularly with a focus on fetal ultrasound analysis. Imitating the exa…
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…
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…
Multimodal-GuideNet: Gaze-Probe Bidirectional Guidance in Obstetric Ultrasound Scanning
Qianhui Men, Clare Teng, Lior Drukker +2
Eye trackers can provide visual guidance to sonographers during ultrasound (US) scanning. Such guidance is potentially valuable for less experienced operators to improve their scan…
Geometric Features Informed Multi-person Human-object Interaction Recognition in Videos
Tanqiu Qiao, Qianhui Men, Frederick W. B. Li +3
Human-Object Interaction (HOI) recognition in videos is important for analyzing human activity. Most existing work focusing on visual features usually suffer from occlusion in the…
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…
Semantics-STGCNN: A Semantics-guided Spatial-Temporal Graph Convolutional Network for Multi-class Trajectory Prediction
Ben A. Rainbow, Qianhui Men, Hubert P. H. Shum
Predicting the movement trajectories of multiple classes of road users in real-world scenarios is a challenging task due to the diverse trajectory patterns. While recent works of p…
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…