activity
20222024
most citedInteraction Mix and Match: Synthesizing Close Interaction using Conditional Hierarchical GAN with Multi-Hot Class Embedding

1 citations · 3 across the 6 of their papers we have counts for

collaborators

6 papers

eess.IV2024

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…

cs.CV2023

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…

cs.CV2022

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…

cs.GR20221 cited

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…

cs.CV20221 cited

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…

cs.CV20221 cited

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…