72 citations · 285 across the 34 of their papers we have counts for
5 papers · 1 filter
Technical Report: Co-learning of geometry and semantics for online 3D mapping
Marcela Carvalho, Maxime Ferrera, Alexandre Boulch +3
This paper is a technical report about our submission for the ECCV 2018 3DRMS Workshop Challenge on Semantic 3D Reconstruction \cite{Tylecek2018rms}. In this paper, we address 3D s…
Surface Reconstruction from 3D Line Segments
Pierre-Alain Langlois, Alexandre Boulch, Renaud Marlet
In man-made environments such as indoor scenes, when point-based 3D reconstruction fails due to the lack of texture, lines can still be detected and used to support surfaces. We pr…
Distance transform regression for spatially-aware deep semantic segmentation
Nicolas Audebert, Alexandre Boulch, Bertrand Le Saux +1
Understanding visual scenes relies more and more on dense pixel-wise classification obtained via deep fully convolutional neural networks. However, due to the nature of the network…
Guided Anisotropic Diffusion and Iterative Learning for Weakly Supervised Change Detection
Rodrigo Caye Daudt, Bertrand Le Saux, Alexandre Boulch +1
Large scale datasets created from user labels or openly available data have become crucial to provide training data for large scale learning algorithms. While these datasets are ea…
ConvPoint: Continuous Convolutions for Point Cloud Processing
Alexandre Boulch
Point clouds are unstructured and unordered data, as opposed to images. Thus, most machine learning approach developed for image cannot be directly transferred to point clouds. In…