Search Results - "Shum, Hubert P.H."

Validation of an ergonomic assessment method using Kinect data in real workplace conditions by Plantard, Pierre, Shum, Hubert P.H., Le Pierres, Anne-Sophie, Multon, Franck

“…Evaluating potential musculoskeletal disorders risks in real workstations is challenging as the environment is cluttered, which makes it difficult to…”
Get full text

Filtering techniques for channel selection in motor imagery EEG applications: a survey by Baig, Muhammad Zeeshan, Aslam, Nauman, Shum, Hubert P. H.

“…Brain computer interface (BCI) systems are used in a wide range of applications such as communication, neuro-prosthetic and environmental control for disabled…”
Get full text

Kinect Posture Reconstruction Based on a Local Mixture of Gaussian Process Models by Zhiguang Liu, Liuyang Zhou, Leung, Howard, Shum, Hubert P. H.

“…Depth sensor based 3D human motion estimation hardware such as Kinect has made interactive applications more popular recently. However, it is still challenging…”
Get full text

Inverse dynamics based on occlusion-resistant Kinect data: Is it usable for ergonomics? by Plantard, Pierre, Muller, Antoine, Pontonnier, Charles, Dumont, Georges, Shum, Hubert P.H., Multon, Franck

“…Joint torques and forces are relevant quantities to estimate the biomechanical constraints of working tasks in ergonomics. However, inverse dynamics requires…”
Get full text

Social Interaction‐Aware Dynamical Models and Decision‐Making for Autonomous Vehicles by Crosato, Luca, Tian, Kai, Shum, Hubert P. H., Ho, Edmond S. L., Wang, Yafei, Wei, Chongfeng

“…Interaction‐aware autonomous driving (IAAD) is a rapidly growing field of research that focuses on the development of autonomous vehicles (AVs) that are…”
Get full text

Interactive Formation Control in Complex Environments by Henry, Joseph, Shum, Hubert P. H., Komura, Taku

“…The degrees of freedom of a crowd is much higher than that provided by a standard user input device. Typically, crowd-control systems require multiple passes…”
Get full text

Differential evolution algorithm as a tool for optimal feature subset selection in motor imagery EEG by Baig, Muhammad Zeeshan, Aslam, Nauman, Shum, Hubert P.H., Zhang, Li

“…•We propose a novel hybrid method for feature selection using Differential Evolution for EEG signals.•The proposed method achieved feature reduction by 90% and…”
Get full text

Spatio-Temporal Manifold Learning for Human Motions via Long-Horizon Modeling by Wang, He, Ho, Edmond S. L., Shum, Hubert P. H., Zhu, Zhanxing

“…Data-driven modeling of human motions is ubiquitous in computer graphics and computer vision applications, such as synthesizing realistic motions or…”
Get full text

Hierarchical Graph Convolutional Networks for Action Quality Assessment by Zhou, Kanglei, Ma, Yue, Shum, Hubert P. H., Liang, Xiaohui

“…Action quality assessment (AQA) automatically evaluates how well humans perform actions in a given video, a technique widely used in fields such as…”
Get full text

Two-stage human verification using HandCAPTCHA and anti-spoofed finger biometrics with feature selection by Bera, Asish, Bhattacharjee, Debotosh, Shum, Hubert P.H.

“…•Design a Completely Automated Public Turing Test to Tell Computers & Humans Apart.•Human verification is proposed to thwart the probability of…”
Get full text

A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction by Men, Qianhui, Ho, Edmond S. L., Shum, Hubert P. H., Leung, Howard

“…Recurrent neural network (RNN) has become popular for human motion prediction thanks to its ability to capture temporal dependencies. However, it has limited…”
Get full text

Focalized contrastive view-invariant learning for self-supervised skeleton-based action recognition by Men, Qianhui, Ho, Edmond S.L., Shum, Hubert P.H., Leung, Howard

“…[Display omitted] •Focalized contrastive learning for self-supervised skeletal action recognition.•Learning view-invariance by maximizing mutual information…”
Get full text

RobIn: A robust interpretable deep network for schizophrenia diagnosis by Organisciak, Daniel, Shum, Hubert P.H., Nwoye, Ephraim, Woo, Wai Lok

“…Schizophrenia is a severe mental health condition that requires a long and complicated diagnostic process. However, early diagnosis is vital to control…”
Get full text

Formation control for UAVs using a Flux Guided approach by Hartley, John, Shum, Hubert P.H., Ho, Edmond S.L., Wang, He, Ramamoorthy, Subramanian

“…Existing studies on formation control for unmanned aerial vehicles (UAV) have not considered encircling targets where an optimum coverage of the target is…”
Get full text

HINT: High-Quality INpainting Transformer With Mask-Aware Encoding and Enhanced Attention by Chen, Shuang, Atapour-Abarghouei, Amir, Shum, Hubert P. H.

“…Existing image inpainting methods leverage convolution-based downsampling approaches to reduce spatial dimensions. This may result in information loss from…”
Get full text

Action Recognition From Arbitrary Views Using Transferable Dictionary Learning by Jingtian Zhang, Shum, Hubert P. H., Jungong Han, Ling Shao

“…Human action recognition is crucial to many practical applications, ranging from human-computer interaction to video surveillance. Most approaches either…”
Get full text

Multi-Task Spatial-Temporal Graph Auto-Encoder for Hand Motion Denoising by Zhou, Kanglei, Shum, Hubert P. H., Li, Frederick W. B., Liang, Xiaohui

“…In many human-computer interaction applications, fast and accurate hand tracking is necessary for an immersive experience. However, raw hand motion data can be…”
Get full text

Discriminative Semantic Subspace Analysis for Relevance Feedback by Zhang, Lining, Shum, Hubert P. H., Shao, Ling

“…Content-based image retrieval (CBIR) has attracted much attention during the past decades for its potential practical applications to image database…”
Get full text

High-speed multi-person pose estimation with deep feature transfer by Huang, Ying, Shum, Hubert P.H., Ho, Edmond S.L., Aslam, Nauman

“…Recent advancements in deep learning have significantly improved the accuracy of multi-person pose estimation from RGB images. However, these deep learning…”
Get full text

GAN-based reactive motion synthesis with class-aware discriminators for human–human interaction by Men, Qianhui, Shum, Hubert P.H., Ho, Edmond S.L., Leung, Howard

“…Creating realistic characters that can react to the users’ or another character’s movement can benefit computer graphics, games and virtual reality hugely…”
Get full text