19 citations · 38 across the 9 of their papers we have counts for
14 papers
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…
Depth Evaluation for Metal Surface Defects by Eddy Current Testing using Deep Residual Convolutional Neural Networks
Tian Meng, Yang Tao, Ziqi Chen +10
Eddy current testing (ECT) is an effective technique in the evaluation of the depth of metal surface defects. However, in practice, the evaluation primarily relies on the experienc…
HypervolGAN: An efficient approach for GAN with multi-objective training function
Jingwen Su, Hujun Yin
Since the advent of generative adversarial networks (GANs), various loss functions have been developed and combined to constitute the overall training objective function, in order…
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…
Deep Learning-based Aerial Image Segmentation with Open Data for Disaster Impact Assessment
Ananya Gupta, Simon Watson, Hujun Yin
Satellite images are an extremely valuable resource in the aftermath of natural disasters such as hurricanes and tsunamis where they can be used for risk assessment and disaster ma…