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Dr Edmond Ho

Senior Lecturer

Department: Computer and Information Sciences

Edmond Shu-lim Ho is currently a Senior Lecturer in the Department of Computer and Information Sciences at Northumbria University, Newcastle, UK. Prior to joining Northumbria University in 2016, he was a Research Assistant Professor in the Department of Computer Science at Hong Kong Baptist University. He received the BSc degree in Computer Science from the Hong Kong Baptist University, the MPhil degree from the City University of Hong Kong, and the PhD degree from the University of Edinburgh.

Edmond Ho

Campus Address

ELB120, Ellison Building Block B,
City Campus,
Newcastle upon Tyne
NE1 8ST

Research Themes and Scholarly Interests

His research interests include human motions analysis and synthesis, machine learning, physically based animation, and robotics.

Key Publications

  • Please visit the Pure Research Information Portal for further information
  • 3DBodyNet: Fast Reconstruction of 3D Animatable Human Body Shape from a Single Commodity Depth Camera, Hu, P., Ho, E., Munteanu, A. 23 Apr 2021, In: IEEE Transactions on Multimedia
  • Assessing Facial Symmetry and Attractiveness using Augmented Reality, Wei, W., Ho, E., McCay, K., Damaševičius, R., Maskeliūnas, R., Esposito, A. 27 Feb 2021, In: Pattern Analysis and Applications
  • Emotion Transfer for 3D Hand and Full Body Motion using StarGAN, Chan, J., Ho, E. 22 Mar 2021, In: Computers
  • LMZMPM: Local Modified Zernike Moment Per-unit Mass for Robust Human Face Recognition, Kar, A., Pramanik, S., Chakraborty, A., Bhattacharjee, D., Ho, E., Shum, H. 2021, In: IEEE Transactions on Information Forensics and Security
  • Spatio-temporal Manifold Learning for Human Motions via Long-horizon Modeling, Wang, H., Ho, E., Shum, H., Zhu, Z. 1 Jan 2021, In: IEEE Transactions on Visualization and Computer Graphics
  • 3D Car Shape Reconstruction from a Contour Sketch using GAN and Lazy Learning, Nozawa, N., Shum, H., Feng, Q., Ho, E., Morishima, S. 3 Sep 2020, In: The Visual Computer
  • 3D Object Reconstruction from Imperfect Depth Data Using Extended YOLOv3 Network, Kulikajevas, A., Maskeliūnas, R., Damaševičius, R., Ho, E. 3 Apr 2020, In: Sensors
  • Abnormal Infant Movements Classification with Deep Learning on Pose-based Features, Ho, E., McCay, K., Shum, H., Fehringer, G., Marcroft, C., Embleton, N. 24 Mar 2020, In: IEEE Access
  • A Multitier Deep Learning Model for Arrhythmia Detection, Hammad, M., Iliyasu, A., Subasi, A., Ho, E., Abd El-Latif, A. 22 Dec 2020, In: IEEE Transactions on Instrumentation and Measurement
  • A Quadruple Diffusion Convolutional Recurrent Network for Human Motion Prediction, Men, Q., Ho, E., Shum, H., Leung, H. 16 Nov 2020, In: IEEE Transactions on Circuits and Systems for Video Technology

Current and Recent Projects

Professional Activity

  • Please visit the Pure Research Information Portal for further information
  • Organising a conference, workshop, ...: MIG 2019 2019
  • Invited talk: Interaction-based Human Activity Comparison, Analysis and Synthesis 2019
  • Oral presentation: Illumination-Based Data Augmentation for Robust Background Subtraction 2019
  • Invited talk: Interaction-based Human Activity Comparison, Analysis and Synthesis 2019

PGR Supervision

  • Shaun Lillie 'Evaluation of the use of Artificial Intelligence embedded Virtual Reality for customising the learning experience for autistic students in Higher Education' Start Date: 01/10/2020
  • Manli Zhu Spatial-Temporal Based Human-Human Interaction Representation for Motion Analysis Start Date: 01/10/2020
  • Dimitrios Sakkos Video Foreground Segmentation with Deep Learning Start Date: 15/06/2018 End Date: 23/04/2020
  • Kevin McCay Sensing Movement using Action Recognition Technology in Babies (SMART-Babies) Start Date: 01/03/2018

Qualifications

  • Computer Science PhD June 30 2011
  • Computer Science MPhil November 01 2006
  • Computer Science BSc (Hons) December 02 2003


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