2 citations · 4 across the 6 of their papers we have counts for
6 papers
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…
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…
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…
Adversarial Refinement Network for Human Motion Prediction
Xianjin Chao, Yanrui Bin, Wenqing Chu +6
Human motion prediction aims to predict future 3D skeletal sequences by giving a limited human motion as inputs. Two popular methods, recurrent neural networks and feed-forward dee…
Unifying Graph Embedding Features with Graph Convolutional Networks for Skeleton-based Action Recognition
Dong Yang, Monica Mengqi Li, Hong Fu +3
Combining skeleton structure with graph convolutional networks has achieved remarkable performance in human action recognition. Since current research focuses on designing basic gr…