4 citations · 7 across the 5 of their papers we have counts for
13 papers
A deep mixture density network for outlier-corrected interpolation of crowd-sourced weather data
Charlie Kirkwood, Theo Economou, Henry Odbert +1
As the costs of sensors and associated IT infrastructure decreases - as exemplified by the Internet of Things - increasing volumes of observational data are becoming available for…
Transformer-Encoder Detector Module: Using Context to Improve Robustness to Adversarial Attacks on Object Detection
Faisal Alamri, Sinan Kalkan, Nicolas Pugeault
Deep neural network approaches have demonstrated high performance in object recognition (CNN) and detection (Faster-RCNN) tasks, but experiments have shown that such architectures…
Bayesian deep learning for mapping via auxiliary information: a new era for geostatistics?
Charlie Kirkwood, Theo Economou, Nicolas Pugeault
For geospatial modelling and mapping tasks, variants of kriging - the spatial interpolation technique developed by South African mining engineer Danie Krige - have long been regard…
A framework for probabilistic weather forecast post-processing across models and lead times using machine learning
Charlie Kirkwood, Theo Economou, Henry Odbert +1
Forecasting the weather is an increasingly data intensive exercise. Numerical Weather Prediction (NWP) models are becoming more complex, with higher resolutions, and there are incr…
Real-time Facial Expression Recognition "In The Wild'' by Disentangling 3D Expression from Identity
Mohammad Rami Koujan, Luma Alharbawee, Giorgos Giannakakis +2
Human emotions analysis has been the focus of many studies, especially in the field of Affective Computing, and is important for many applications, e.g. human-computer intelligent…
Image Captioning through Image Transformer
Sen He, Wentong Liao, Hamed R. Tavakoli +3
Automatic captioning of images is a task that combines the challenges of image analysis and text generation. One important aspect in captioning is the notion of attention: How to d…