19 citations · 38 across the 9 of their papers we have counts for
9 papers · 1 filter
Sparse Spatial Attention Network for Semantic Segmentation
Mengyu Liu, Hujun Yin
The spatial attention mechanism captures long-range dependencies by aggregating global contextual information to each query location, which is beneficial for semantic segmentation.…
Graph Convolutional Networks in Feature Space for Image Deblurring and Super-resolution
Boyan Xu, Hujun Yin
Graph convolutional networks (GCNs) have achieved great success in dealing with data of non-Euclidean structures. Their success directly attributes to fitting graph structures effe…
CNN-Based Semantic Change Detection in Satellite Imagery
Ananya Gupta, Elisabeth Welburn, Simon Watson +1
Timely disaster risk management requires accurate road maps and prompt damage assessment. Currently, this is done by volunteers manually marking satellite imagery of affected areas…
Tree Annotations in LiDAR Data Using Point Densities and Convolutional Neural Networks
Ananya Gupta, Jonathan Byrne, David Moloney +2
LiDAR provides highly accurate 3D point clouds. However, data needs to be manually labelled in order to provide subsequent useful information. Manual annotation of such data is tim…
3D Point Cloud Feature Explanations Using Gradient-Based Methods
Ananya Gupta, Simon Watson, Hujun Yin
Explainability is an important factor to drive user trust in the use of neural networks for tasks with material impact. However, most of the work done in this area focuses on image…
Multi-Temporal Aerial Image Registration Using Semantic Features
Ananya Gupta, Yao Peng, Simon Watson +1
A semantic feature extraction method for multitemporal high resolution aerial image registration is proposed in this paper. These features encode properties or information about te…