This paper addresses the problem of vehicle-mounted camera localization by matching a
ground-level image with an overhead-view satellite map. Existing methods often treat this …

Image retrieval-based cross-view localization methods often lead to very coarse camera
pose estimation, due to the limited sampling density of the database satellite images. In this …

Bird's-Eye View (BEV) Perception has received increasing attention in recent years as it
provides a concise and unified spatial representation across views and benefits a diverse …

Satellite image analysis is widely used in many real-time applications, from agriculture to the
military. Due to the wide range of Generative Adversarial Network (GAN) applications in …

This work addresses cross-view camera pose estimation, ie, determining the 3-Degrees-of-
Freedom camera pose of a given ground-level image wrt an aerial image of the local area …

The concept of geo-localization refers to the process of determining where on earth
someentity'is located, typically using Global Positioning System (GPS) coordinates. The …

Despite the significant progress of conditional image generation, it remains difficult to
synthesize a ground-view panorama image from a top-view aerial image. Among the core …

Unmanned Aerial Vehicles (UAVs), also known as drones, have become increasingly
popular in recent years due to their ability to capture high-quality multimedia data from the …

Directly generating scenes from satellite imagery offers exciting possibilities for integration
into applications like games and map services. However challenges arise from significant …

This paper aims to develop an accurate 3D geometry representation of satellite images
using satellite-ground image pairs. Our focus is on the challenging problem of 3D-aware …