Visual localization is the task of accurate camera pose estimation in a known scene. It is a
key problem in computer vision and robotics, with applications including self-driving cars …

Visual localization enables autonomous vehicles to navigate in their surroundings and
augmented reality applications to link virtual to real worlds. Practical visual localization …

We seek to predict the 6 degree-of-freedom (6DoF) pose of a query photograph with respect
to a large indoor 3D map. The contributions of this work are three-fold. First, we develop a …

We propose an end-to-end place recognition model based on a novel deep neural network.
First, we propose to exploit the spatial pyramid structure of the images to enhance the vector …

In recent years visual place recognition (VPR), ie, the problem of recognizing the location of
images, has received considerable attention from multiple research communities, spanning …

Visual localization enables autonomous vehicles to navigate in their surroundings and
augmented reality applications to link virtual to real worlds. Practical visual localization …

In this work we propose a new CNN+ LSTM architecture for camera pose regression for
indoor and outdoor scenes. CNNs allow us to learn suitable feature representations for …

The goal of cross-view image based geo-localization is to determine the location of a given
street view image by matching it against a collection of geo-tagged satellite images. This …

We tackle the problem of large scale visual place recognition, where the task is to quickly
and accurately recognize the location of a given query photograph. We present the following …

We address the problem of large-scale visual place recognition for situations where the
scene undergoes a major change in appearance, for example, due to illumination …