Search Results for author: Howard Leung

Found 6 papers, 1 papers with code

Adversarial Refinement Network for Human Motion Prediction

no code implementations23 Nov 2020 Xianjin Chao, Yanrui Bin, Wenqing Chu, Xuan Cao, Yanhao Ge, Chengjie Wang, Jilin Li, Feiyue Huang, Howard Leung

Specifically, we take both the historical motion sequences and coarse prediction as input of our cascaded refinement network to predict refined human motion and strengthen the refinement network with adversarial error augmentation.

Human motion prediction motion prediction

Interpreting Deep Learning based Cerebral Palsy Prediction with Channel Attention

no code implementations8 Jun 2021 Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung, Hubert P. H. Shum

To highlight the capacity of the deep network in modelling input features, we utilize raw joint positions instead of hand-crafted features.

A Two-stream Convolutional Network for Musculoskeletal and Neurological Disorders Prediction

1 code implementation18 Aug 2022 Manli Zhu, Qianhui Men, Edmond S. L. Ho, Howard Leung, Hubert P. H. Shum

As a result, we propose a solution that explicitly takes both individual joint features and inter-joint features as input, relieving the system from the need of discovering more complicated features from small data.

Time Series Time Series Analysis +1

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