Visual localization is the task of estimating the camera pose from which...
Neural Radiance Fields (NeRFs) are a very recent and very popular approa...
Visual localization is a core component in many applications, including
...
We study the challenging problem of estimating the relative pose of thre...
In this paper we study the problem of estimating the semi-generalized po...
AR/VR applications and robots need to know when the scene has changed. A...
Visual localization, i.e., the problem of camera pose estimation, is a
c...
In recent years, neural implicit surface reconstruction methods have bec...
Visual localization, i.e., camera pose estimation in a known scene, is a...
In everyday lives, humans naturally modify the surrounding environment
t...
In this paper, we propose a new open-source benchmarking framework for V...
Visual localization is the problem of estimating the position and orient...
Benchmark datasets that measure camera pose accuracy have driven progres...
We introduce (HPS) Human POSEitioning System, a method to recover the fu...
Camera pose estimation in known scenes is a 3D geometry task recently ta...
In this paper, we propose the first minimal solutions for estimating the...
Visual localization is the problem of estimating the camera pose of a gi...
Deep learning has been applied to a classical matching pipeline which
ty...
Visual localization, i.e., camera pose estimation in a known scene, is a...
Good local features improve the robustness of many 3D re-localization an...
Long-term camera re-localization is an important task with numerous comp...
Multi-camera systems are an important sensor platform for intelligent sy...
Local features e.g. SIFT and its affine and learned variants provide
reg...
Local feature matching is a critical component of many computer vision
p...
Visual Localization is one of the key enabling technologies for autonomo...
Motion blurry images challenge many computer vision algorithms, e.g, fea...
Camera calibration is an essential first step in setting up 3D Computer
...
Long-term visual localization is the problem of estimating the camera po...
Visual localization in large and complex indoor scenes, dominated by wea...
Visual localization is the problem of estimating a camera within a scene...
The overarching goals in image-based localization are scale, robustness ...
In this work we address the problem of finding reliable pixel-level
corr...
Visual localization is the task of accurate camera pose estimation in a ...
In this paper, we present a method to utilize 2D-2D point matches betwee...
Visual-Inertial Odometry (VIO) algorithms typically rely on a point clou...
Deep generative models have shown great promise when it comes to synthes...
This paper addresses the challenge of dense pixel correspondence estimat...
We address the problem of mesh reconstruction from live RGB-D video, ass...
Visual localization is a key step in many robotics pipelines, allowing t...
Visual localization, i.e., determining the position and orientation of a...
We present a real-time dense geometric mapping algorithm for large-scale...
Project AutoVision aims to develop localization and 3D scene perception
...
Collecting 3D object datasets involves a large amount of manual work and...
Localizing an image wrt. a large scale 3D scene represents a core task f...
Robots are increasingly present in modern industry and also in everyday ...
We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photog...
Robust visual localization under a wide range of viewing conditions is a...
Visual localization enables autonomous vehicles to navigate in their
sur...
We present a method to jointly refine the geometry and semantic segmenta...
In this work we propose a new CNN+LSTM architecture for camera pose
regr...