In this paper, we introduce a novel approach to fine-grained cross-view geo-localization. Our
method aligns a warped ground image with a corresponding GPS-tagged satellite image …

Astronaut photography spanning six decades of human spaceflight presents a unique Earth
observations dataset with immense value for both scientific research and disaster response …

This paper aims at achieving fine-grained building attribute segmentation in a cross-view
scenario ie using satellite and street-view image pairs. The main challenge lies in …

To find the geolocation of a street-view image, cross-view geolocalization (CVGL) methods
typically perform image retrieval on a database of georeferenced aerial images and …

In the realm of robotics, the quest for achieving real-world autonomy, capable of executing
large-scale and long-term operations, has positioned place recognition (PR) as a …

Vision-based localization for autonomous driving has been of great interest among
researchers. When a pre-built 3D map is not available, the techniques of visual …

Given a ground-level query image and a geo-referenced aerial image that covers the
query's local surroundings, fine-grained cross-view localization aims to estimate the location …

Predicting realistic ground views from satellite imagery in urban scenes is a challenging task
due to the significant view gaps between satellite and ground-view images. We propose a …

Cross-view geo-localization confronts significant challenges due to large perspective
changes, especially when the ground-view query image has a limited field of view with …

The ground-to-satellite image matching/retrieval was initially proposed for city-scale ground
camera localization. Recently, more and more attention has been paid to increasing the …