| End-to-end video background subtraction with 3d convolutional neural networks D Sakkos, H Liu, J Han, L Shao Multimedia Tools and Applications 77 (17), 23023-23041, 2018 | 91 | 2018 |
| Illumination-aware multi-task GANs for foreground segmentation D Sakkos, ESL Ho, HPH Shum IEEE Access 7, 10976-10986, 2019 | 18 | 2019 |
| Identification of abnormal movements in infants: A deep neural network for body part-based prediction of cerebral palsy D Sakkos, KD Mccay, C Marcroft, ND Embleton, S Chattopadhyay, ... IEEE Access 9, 94281-94292, 2021 | 5 | 2021 |
| Unifying person and vehicle re-identification D Organisciak, D Sakkos, ESL Ho, N Aslam, HPH Shum IEEE Access 8, 115673-115684, 2020 | 5 | 2020 |
| Illumination-based data augmentation for robust background subtraction D Sakkos, HPH Shum, ESL Ho 2019 13th International Conference on Software, Knowledge, Information …, 2019 | 5 | 2019 |
| Towards explainable abnormal infant movements identification: A body-part based prediction and visualisation framework KD McCay, ESL Ho, D Sakkos, WL Woo, C Marcroft, P Dulson, ... 2021 IEEE EMBS International Conference on Biomedical and Health Informatics …, 2021 | 3 | 2021 |
| Image editing-based data augmentation for illumination-insensitive background subtraction D Sakkos, ESL Ho, HPH Shum, G Elvin Journal of Enterprise Information Management, 2020 | 1 | 2020 |
| Video foreground segmentation with deep learning D Sakkos Nothumbria University, 2020 | | 2020 |
Edmond S. L. HoAssociate Professor, Computer and Information Sciences, Northumbria UniversityVerified email at northumbria.ac.uk
