Recent years have witnessed enormous progress in AI-related fields such as computer
vision, machine learning, and autonomous vehicles. As with any rapidly growing field, it …

Unmanned aerial vehicle (UAV) images have gained extensive attention in varying fields,
and the Structure from Motion (SfM) technique has become the gold standard for aerial …

Large multimodal models (LMMs) extend large language models (LLMs) with multi-sensory
skills, such as visual understanding, to achieve stronger generic intelligence. In this paper …

Image Retrieval is a fundamental task of obtaining images similar to the query one from a
database. A common image retrieval practice is to firstly retrieve candidate images via …

We propose an attentive local feature descriptor suitable for large-scale image retrieval,
referred to as DELF (DEep Local Feature). The new feature is based on convolutional neural …

Abstract People increasingly use Social Media (SM) platforms such as Twitter and Facebook
during disasters and emergencies to post situational updates including reports of injured or …

Is it possible to determine the location of a photo from just its pixels? While the general
problem seems exceptionally difficult, photos often contain cues such as landmarks, weather …

We have recently observed a convergence of technologies to foster the emergence of
lifelogging as a mainstream activity. Computer storage has become significantly cheaper …

Given a large repository of geo-tagged imagery, we seek to automatically find visual
elements, for example windows, balconies, and street signs, that are most distinctive for a …

Urban areas of interest (AOI) refer to the regions within an urban environment that attract
people's attention. Such areas often have high exposure to the general public, and receive a …