Search Results for author: Gabriele Berton

Found 15 papers, 13 papers with code

MeshVPR: Citywide Visual Place Recognition Using 3D Meshes

no code implementations4 Jun 2024 Gabriele Berton, Lorenz Junglas, Riccardo Zaccone, Thomas Pollok, Barbara Caputo, Carlo Masone

Mesh-based scene representation offers a promising direction for simplifying large-scale hierarchical visual localization pipelines, combining a visual place recognition step based on global features (retrieval) and a visual localization step based on local features.

Retrieval Visual Localization +1

Scale-Free Image Keypoints Using Differentiable Persistent Homology

1 code implementation3 Jun 2024 Giovanni Barbarani, Francesco Vaccarino, Gabriele Trivigno, Marco Guerra, Gabriele Berton, Carlo Masone

In computer vision, keypoint detection is a fundamental task, with applications spanning from robotics to image retrieval; however, existing learning-based methods suffer from scale dependency and lack flexibility.

Image Retrieval Keypoint Detection +1

EarthMatch: Iterative Coregistration for Fine-grained Localization of Astronaut Photography

1 code implementation8 May 2024 Gabriele Berton, Gabriele Goletto, Gabriele Trivigno, Alex Stoken, Barbara Caputo, Carlo Masone

Precise, pixel-wise geolocalization of astronaut photography is critical to unlocking the potential of this unique type of remotely sensed Earth data, particularly for its use in disaster management and climate change research.

Homography Estimation Management

JIST: Joint Image and Sequence Training for Sequential Visual Place Recognition

1 code implementation28 Mar 2024 Gabriele Berton, Gabriele Trivigno, Barbara Caputo, Carlo Masone

As a mitigation to this problem, we propose a novel Joint Image and Sequence Training protocol (JIST) that leverages large uncurated sets of images through a multi-task learning framework.

Multi-Task Learning Visual Place Recognition

EarthLoc: Astronaut Photography Localization by Indexing Earth from Space

1 code implementation CVPR 2024 Gabriele Berton, Alex Stoken, Barbara Caputo, Carlo Masone

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

Data Augmentation Disaster Response +2

Divide&Classify: Fine-Grained Classification for City-Wide Visual Place Recognition

1 code implementation17 Jul 2023 Gabriele Trivigno, Gabriele Berton, Juan Aragon, Barbara Caputo, Carlo Masone

Our method, Divide&Classify (D&C), enjoys the fast inference of classification solutions and an accuracy competitive with retrieval methods on the fine-grained, city-wide setting.

Image Retrieval Retrieval +1

Are Local Features All You Need for Cross-Domain Visual Place Recognition?

1 code implementation12 Apr 2023 Giovanni Barbarani, Mohamad Mostafa, Hajali Bayramov, Gabriele Trivigno, Gabriele Berton, Carlo Masone, Barbara Caputo

Despite recent advances, recognizing the same place when the query comes from a significantly different distribution is still a major hurdle for state of the art retrieval methods.

Re-Ranking Retrieval +1

Divide&Classify: Fine-Grained Classification for City-Wide Visual Geo-Localization

1 code implementation ICCV 2023 Gabriele Trivigno, Gabriele Berton, Juan Aragon, Barbara Caputo, Carlo Masone

In this paper we investigate whether we can effectively approach this task as a classification problem, thus bypassing the need for a similarity search.

geo-localization Image Retrieval +1

Learning Sequential Descriptors for Sequence-based Visual Place Recognition

1 code implementation8 Jul 2022 Riccardo Mereu, Gabriele Trivigno, Gabriele Berton, Carlo Masone, Barbara Caputo

In robotics, Visual Place Recognition is a continuous process that receives as input a video stream to produce a hypothesis of the robot's current position within a map of known places.

Position Visual Place Recognition

Deep Visual Geo-localization Benchmark

1 code implementation CVPR 2022 Gabriele Berton, Riccardo Mereu, Gabriele Trivigno, Carlo Masone, Gabriela Csurka, Torsten Sattler, Barbara Caputo

In this paper, we propose a new open-source benchmarking framework for Visual Geo-localization (VG) that allows to build, train, and test a wide range of commonly used architectures, with the flexibility to change individual components of a geo-localization pipeline.

Benchmarking Data Augmentation +1

Rethinking Visual Geo-localization for Large-Scale Applications

2 code implementations CVPR 2022 Gabriele Berton, Carlo Masone, Barbara Caputo

Visual Geo-localization (VG) is the task of estimating the position where a given photo was taken by comparing it with a large database of images of known locations.

Contrastive Learning geo-localization +2

Learning Semantics for Visual Place Recognition through Multi-Scale Attention

1 code implementation24 Jan 2022 Valerio Paolicelli, Antonio Tavera, Carlo Masone, Gabriele Berton, Barbara Caputo

In this paper we address the task of visual place recognition (VPR), where the goal is to retrieve the correct GPS coordinates of a given query image against a huge geotagged gallery.

Segmentation Visual Place Recognition

Viewpoint Invariant Dense Matching for Visual Geolocalization

1 code implementation ICCV 2021 Gabriele Berton, Carlo Masone, Valerio Paolicelli, Barbara Caputo

Dense local features matching is robust against changes in illumination and occlusions, but not against viewpoint shifts which are a fundamental aspect of geolocalization.

Re-Ranking Retrieval

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