Localization and mapping is the foundational technology for augmented reality (AR) that
enables sharing and persistence of digital content in the real world. While significant …

Abstract Visual Place Recognition (VPR) is often characterized as being able to recognize
the same place despite significant changes in appearance and viewpoint. VPR is a key …

Can we relocalize in a scene represented by a single reference image? Standard visual
relocalization requires hundreds of images and scale calibration to build a scene-specific …

In this paper we propose a novel method for image matching based on dense local features
and tailored for visual geolocalization. Dense local features matching is robust against …

Local image feature matching under large appearance, viewpoint, and distance changes is
challenging yet important. Conventional methods detect and match tentative local features …

Astronaut photography from the International Space Station (ISS) forms one of the longest
continuous remote sensing datasets of Earth and has facilitated a large body of research …

Most image matching methods perform poorly when encountering large scale changes in
images. To solve this problem, we propose a Scale-Difference-Aware Image Matching …

In this paper, we address the problem of estimating scale factors between images. We
formulate the scale estimation problem as a prediction of a probability distribution over scale …

Small Celestial Body (SCB) image matching is essential for deep space exploration
missions. In this paper, a large-scale invariant method is proposed to improve the matching …

Taxonomy completion, enriching existing taxonomies by inserting new concepts as parents
or attaching them as children, has gained significant interest. Previous approaches embed …