In recent years, Transformer-based auto-attention mechanisms have been
s...
Convolutional Neural Networks (CNNs) have enabled major advances in imag...
Convolutional neural networks (CNN) have enabled major advances in image...
This technical report is devoted to the continuous estimation of an
epsi...
Graph Edit Distance (GED) measures the dissimilarity between two graphs ...
The graph edit distance (GED) is a flexible distance measure which is wi...
Computing a graph prototype may constitute a core element for clustering...
In this paper, we propose a new hand gesture recognition method based on...
This paper proposes a new neural network based on SPD manifold learning ...
This paper defines the basis of a new hierarchical framework for segment...
Graph kernels methods are based on an implicit embedding of graphs withi...
Segmentation algorithms based on an energy minimisation framework often
...
Irregular pyramids are made of a stack of successively reduced graphs
em...