Search Results for author: Paul-Edouard Sarlin

Found 6 papers, 6 papers with code

Back to the Feature: Learning Robust Camera Localization from Pixels to Pose

1 code implementation CVPR 2021 Paul-Edouard Sarlin, Ajaykumar Unagar, Måns Larsson, Hugo Germain, Carl Toft, Viktor Larsson, Marc Pollefeys, Vincent Lepetit, Lars Hammarstrand, Fredrik Kahl, Torsten Sattler

In this paper, we go Back to the Feature: we argue that deep networks should focus on learning robust and invariant visual features, while the geometric estimation should be left to principled algorithms.

Camera Localization Metric Learning +1

SuperGlue: Learning Feature Matching with Graph Neural Networks

16 code implementations CVPR 2020 Paul-Edouard Sarlin, Daniel DeTone, Tomasz Malisiewicz, Andrew Rabinovich

This paper introduces SuperGlue, a neural network that matches two sets of local features by jointly finding correspondences and rejecting non-matchable points.

Image Matching Pose Estimation +1

From Coarse to Fine: Robust Hierarchical Localization at Large Scale

3 code implementations CVPR 2019 Paul-Edouard Sarlin, Cesar Cadena, Roland Siegwart, Marcin Dymczyk

In this paper we propose HF-Net, a hierarchical localization approach based on a monolithic CNN that simultaneously predicts local features and global descriptors for accurate 6-DoF localization.

Autonomous Driving Visual Localization +1

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