Feature matching is an important computer vision task that involves estimating
correspondences between two images of a 3D scene and dense methods estimate all such …

In this paper we tackle the problem of learning Structure-from-Motion (SfM) through the use
of graph attention networks. SfM is a classic computer vision problem that is solved though …

Precise pixel-wise geolocalization of astronaut photography is critical to unlocking the
potential of this unique type of remotely sensed Earth data particularly for its use in disaster …

In this paper we analyze and improve into the recently proposed DeDoDe keypoint detector.
We focus our analysis on some key issues. First we find that DeDoDe keypoints tend to …

We propose a way to train deep learning based keypoint descriptors that makes them
approximately equivariant for locally affine transformations of the image plane. The main …

Three-dimensional (3D) reconstruction from two-dimensional images is an active research
field in computer vision, with applications ranging from navigation and object tracking to …