Multi-view stereo reconstruction (MVS) in the wild requires to first estimate the camera
intrinsic and extrinsic parameters. These are usually tedious and cumbersome to obtain yet …

Keypoint detection is a pivotal step in 3D reconstruction, whereby sets of (up to) K points are
detected in each view of a scene. Crucially, the detected points need to be consistent …

We present a novel method for efficiently producing semi-dense matches across images.
Previous detector-free matcher LoFTR has shown remarkable matching capability in …

Identifying robust and accurate correspondences across images is a fundamental problem
in computer vision that enables various downstream tasks. Recent semi-dense matching …

Given two images we can estimate the relative camera pose between them by establishing
image-to-image correspondences. Usually correspondences are 2D-to-2D and the pose we …

Pose refinement is an interesting and practically relevant research direction. Pose
refinement can be used to (1) obtain a more accurate pose estimate from an initial prior (eg …

Local feature matching enjoys wide-ranging applications in the realm of computer vision,
encompassing domains such as image retrieval, 3D reconstruction, and object recognition …

The development of autonomous agents increasingly relies on Multimodal Language
Models (MLMs) to perform tasks described in natural language with GUI environments, such …

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 …

Estimating the relative camera pose from n\geq 5 correspondences between two calibrated
views is a fundamental task in computer vision. This process typically involves two stages: 1) …