1 code implementation • 6 Jun 2022 • Hang Yuan, Shing Chan, Andrew P. Creagh, Catherine Tong, David A. Clifton, Aiden Doherty
Advances in deep learning for human activity recognition have been relatively limited due to the lack of large labelled datasets.
no code implementations • 7 Apr 2019 • Shing Chan, Ahmed H. Elsheikh
The method is assessed in subsurface flow problems, where effective parametrization of underground properties such as permeability is important due to the high dimensionality and presence of high spatial correlations.
no code implementations • 20 Sep 2018 • Shing Chan, Ahmed H. Elsheikh
We synthesize new realizations such that the discrepancy in the patch distribution between the realizations and the exemplar image is minimized.
1 code implementation • 13 Jul 2018 • Shing Chan, Ahmed H. Elsheikh
This inference network is a neural network trained to sample a posterior distribution derived using a Bayesian formulation of the conditioning task.
no code implementations • 12 Nov 2017 • Shing Chan, Ahmed H. Elsheikh
Several multiscale methods account for sub-grid scale features using coarse scale basis functions.
1 code implementation • 5 Aug 2017 • Shing Chan, Ahmed H. Elsheikh
One of the main challenges in the parametrization of geological models is the ability to capture complex geological structures often observed in the subsurface.