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- Centre National de la Recherche ScientifiqueFR449 papers
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11 papers · 2 filters
Feature matching for multi-epoch historical aerial images
Lulin Zhang, Ewelina Rupnik, Marc Pierrot-Deseilligny
Historical imagery is characterized by high spatial resolution and stereo-scopic acquisitions, providing a valuable resource for recovering 3D land-cover information. Accurate geo-…
NeeDrop: Self-supervised Shape Representation from Sparse Point Clouds using Needle Dropping
Alexandre Boulch, Pierre-Alain Langlois, Gilles Puy +1
There has been recently a growing interest for implicit shape representations. Contrary to explicit representations, they have no resolution limitations and they easily deal with a…
Learning Co-segmentation by Segment Swapping for Retrieval and Discovery
Xi Shen, Alexei A. Efros, Armand Joulin +1
The goal of this work is to efficiently identify visually similar patterns in images, e.g. identifying an artwork detail copied between an engraving and an oil painting, or recogni…
Scalable Surface Reconstruction with Delaunay-Graph Neural Networks
Raphael Sulzer, Loic Landrieu, Renaud Marlet +1
We introduce a novel learning-based, visibility-aware, surface reconstruction method for large-scale, defect-laden point clouds. Our approach can cope with the scale and variety of…
Visual Correspondence Hallucination
Hugo Germain, Vincent Lepetit, Guillaume Bourmaud
Given a pair of partially overlapping source and target images and a keypoint in the source image, the keypoint's correspondent in the target image can be either visible, occluded…
Learning Uncertainty For Safety-Oriented Semantic Segmentation In Autonomous Driving
Victor Besnier, David Picard, Alexandre Briot
In this paper, we show how uncertainty estimation can be leveraged to enable safety critical image segmentation in autonomous driving, by triggering a fallback behavior if a target…