End-to-end video background subtraction with 3d convolutional neural networks. - Dimitrios Sakkos; Heng Liu 002; Jungong Han; Ling Shao 001 (Multim. Tools Appl., 2018)

Illumination-Based Data Augmentation for Robust Background Subtraction. - Dimitrios Sakkos; Hubert P. H. Shum; Edmond S. L. Ho (SKIMA, 2019)

Illumination-Aware Multi-Task GANs for Foreground Segmentation. - Dimitrios Sakkos; Edmond S. L. Ho; Hubert P. H. Shum (IEEE Access, 2019)

Unifying Person and Vehicle Re-Identification. - Daniel Organisciak; Dimitrios Sakkos; Edmond S. L. Ho; Nauman Aslam; Hubert P. H. Shum (IEEE Access, 2020)

Towards Explainable Abnormal Infant Movements Identification: A Body-part Based Prediction and Visualisation Framework. - Kevin D. McCay; Edmond S. L. Ho; Dimitrios Sakkos; Wai Lok Woo; Claire Marcroft; Patricia Dulson; Nicholas D. Embleton (BHI, 2021)

Identification of Abnormal Movements in Infants: A Deep Neural Network for Body Part-Based Prediction of Cerebral Palsy. - Dimitrios Sakkos; Kevin D. McCay; Claire Marcroft; Nicholas D. Embleton; Samiran Chattopadhyay; Edmond S. L. Ho (IEEE Access, 2021)

Image editing-based data augmentation for illumination-insensitive background subtraction. - Dimitrios Sakkos; Edmond S. L. Ho; Hubert P. H. Shum; Garry Elvin (J. Enterp. Inf. Manag., 2023)