154 citations · 334 across the 20 of their papers we have counts for
3 papers · 1 filter
Dealing with Topological Information within a Fully Convolutional Neural Network
Etienne Decencière, Santiago Velasco-Forero, Fu Min +6
A fully convolutional neural network has a receptive field of limited size and therefore cannot exploit global information, such as topological information. A solution is proposed…
Max-plus Operators Applied to Filter Selection and Model Pruning in Neural Networks
Yunxiang Zhang, Samy Blusseau, Santiago Velasco-Forero +2
Following recent advances in morphological neural networks, we propose to study in more depth how Max-plus operators can be exploited to define morphological units and how they beh…
Part-based approximations for morphological operators using asymmetric auto-encoders
Bastien Ponchon, Santiago Velasco-Forero, Samy Blusseau +2
This paper addresses the issue of building a part-based representation of a dataset of images. More precisely, we look for a non-negative, sparse decomposition of the images on a r…