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10/06/2020
Directional Graph Networks
In order to overcome the expressive limitations of graph neural networks...
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04/12/2020
Principal Neighbourhood Aggregation for Graph Nets
Graph Neural Networks (GNNs) have been shown to be effective models for ...
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03/11/2020
Improving Convolutional Neural Networks Via Conservative Field Regularisation and Integration
Current research in convolutional neural networks (CNN) focuses mainly o...
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02/11/2020
Saliency Enhancement using Gradient Domain Edges Merging
In recent years, there has been a rapid progress in solving the binary p...
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08/22/2019
Deep Green Function Convolution for Improving Saliency in Convolutional Neural Networks
Current saliency methods require to learn large scale regional features ...
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02/01/2019
Fast and Optimal Laplacian Solver for Gradient-Domain Image Editing using Green Function Convolution
In computer vision, the gradient and Laplacian of an image are used in m...
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06/20/2018
Novel Convolution Kernels for Computer Vision and Shape Analysis based on Electromagnetism
Computer vision is a growing field with a lot of new applications in aut...
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06/04/2018