52 citations · 80 across the 14 of their papers we have counts for
16 papers
MLMT-CNN for Object Detection and Segmentation in Multi-layer and Multi-spectral Images
Majedaldein Almahasneh, Adeline Paiement, Xianghua Xie +1
Precisely localising solar Active Regions (AR) from multi-spectral images is a challenging but important task in understanding solar activity and its influence on space weather. A…
AttentNet: Fully Convolutional 3D Attention for Lung Nodule Detection
Majedaldein Almahasneh, Xianghua Xie, Adeline Paiement
Motivated by the increasing popularity of attention mechanisms, we observe that popular convolutional (conv.) attention models like Squeeze-and-Excite (SE) and Convolutional Block…
Removing cloud shadows from ground-based solar imagery
Amal Chaoui, Jay Paul Morgan, Adeline Paiement +1
The study and prediction of space weather entails the analysis of solar images showing structures of the Sun's atmosphere. When imaged from the Earth's ground, images may be pollut…
Multi-scale gridded Gabor attention for cirrus segmentation
Felix Richards, Adeline Paiement, Xianghua Xie +2
In this paper, we address the challenge of segmenting global contaminants in large images. The precise delineation of such structures requires ample global context alongside unders…
Panoptic Segmentation of Galactic Structures in LSB Images
Felix Richards, Adeline Paiement, Xianghua Xie +2
We explore the use of deep learning to localise galactic structures in low surface brightness (LSB) images. LSB imaging reveals many interesting structures, though these are freque…
Domain-informed graph neural networks: a quantum chemistry case study
Jay Morgan, Adeline Paiement, Christian Klinke
We explore different strategies to integrate prior domain knowledge into the design of a deep neural network (DNN). We focus on graph neural networks (GNN), with a use case of esti…