activity
20222026
most citedRethinking Visual Geo-localization for Large-Scale Applications

13 citations · 19 across the 25 of their papers we have counts for

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Showing 2025Show all

7 papers · 1 filter

cs.CV2025

Towards Safer and Understandable Driver Intention Prediction

Mukilan Karuppasamy, Shankar Gangisetty, Shyam Nandan Rai +2

Autonomous driving (AD) systems are becoming increasingly capable of handling complex tasks, mainly due to recent advances in deep learning and AI. As interactions between autonomo…

cs.CV2025

Road Obstacle Video Segmentation

Shyam Nandan Rai, Shyamgopal Karthik, Mariana-Iuliana Georgescu +3

With the growing deployment of autonomous driving agents, the detection and segmentation of road obstacles have become critical to ensure safe autonomous navigation. However, exist…

cs.CV2025

SANSA: Unleashing the Hidden Semantics in SAM2 for Few-Shot Segmentation

Claudia Cuttano, Gabriele Trivigno, Giuseppe Averta +1

Few-shot segmentation aims to segment unseen object categories from just a handful of annotated examples. This requires mechanisms that can both identify semantically related objec…

cs.CV2025

To Match or Not to Match: Revisiting Image Matching for Reliable Visual Place Recognition

Davide Sferrazza, Gabriele Berton, Gabriele Trivigno +1

Visual Place Recognition (VPR) is a critical task in computer vision, traditionally enhanced by re-ranking retrieval results with image matching. However, recent advancements in VP…

cs.CV2025

All You Need to Know About Training Image Retrieval Models

Gabriele Berton, Kevin Musgrave, Carlo Masone

Image retrieval is the task of finding images in a database that are most similar to a given query image. The performance of an image retrieval pipeline depends on many training-ti…

cs.CV2025

MegaLoc: One Retrieval to Place Them All

Gabriele Berton, Carlo Masone

Retrieving images from the same location as a given query is an important component of multiple computer vision tasks, like Visual Place Recognition, Landmark Retrieval, Visual Loc…

cs.CV2025

AstroLoc: Robust Space to Ground Image Localizer

Gabriele Berton, Alex Stoken, Carlo Masone

Astronauts take thousands of photos of Earth per day from the International Space Station, which, once localized on Earth's surface, are used for a multitude of tasks, ranging from…