2 citations · 2 across the 1 of their papers we have counts for
3 papers · 1 filter
3D point cloud segmentation using GIS
Chao-Jung Liu, Vladimir Krylov, Rozenn Dahyot
In this paper we propose an approach to perform semantic segmentation of 3D point cloud data by importing the geographic information from a 2D GIS layer (OpenStreetMap). The propos…
Harmonic Networks with Limited Training Samples
Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot
Convolutional neural networks (CNNs) are very popular nowadays for image processing. CNNs allow one to learn optimal filters in a (mostly) supervised machine learning context. Howe…
Harmonic Networks: Integrating Spectral Information into CNNs
Matej Ulicny, Vladimir A. Krylov, Rozenn Dahyot
Convolutional neural networks (CNNs) learn filters in order to capture local correlation patterns in feature space. In contrast, in this paper we propose harmonic blocks that produ…