63 citations · 79 across the 11 of their papers we have counts for
4 papers · 1 filter
Moving Frame Net: SE(3)-Equivariant Network for Volumes
Mateus Sangalli, Samy Blusseau, Santiago Velasco-Forero +1
Equivariance of neural networks to transformations helps to improve their performance and reduce generalization error in computer vision tasks, as they apply to datasets presenting…
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…
A New Spatio-Spectral Morphological Segmentation For Multi-Spectral Remote-Sensing Images
Guillaume Noyel, Jesus Angulo, Dominique Jeulin
A general framework of spatio-spectral segmentation for multi-spectral images is introduced in this paper. The method is based on classification-driven stochastic watershed (WS) by…
A Learning Framework for Morphological Operators using Counter-Harmonic Mean
Jonathan Masci, Jesús Angulo, Jürgen Schmidhuber
We present a novel framework for learning morphological operators using counter-harmonic mean. It combines concepts from morphology and convolutional neural networks. A thorough ex…