no code implementations • 8 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.
no code implementations • 20 Apr 2024 • Mattia Dutto, Gabriele Berton, Debora Caldarola, Eros Fanì, Gabriele Trivigno, Carlo Masone
Visual Place Recognition (VPR) aims to estimate the location of an image by treating it as a retrieval problem.
no code implementations • 18 Apr 2024 • Claudia Cuttano, Gabriele Rosi, Gabriele Trivigno, Giuseppe Averta
Humans show an innate capability to identify tools to support specific actions.
no code implementations • 16 Apr 2024 • Gabriele Trivigno, Carlo Masone, Barbara Caputo, Torsten Sattler
This involves training an implicit scene representation or learning features while optimizing a camera pose-based loss.
1 code implementation • 28 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.
3 code implementations • ICCV 2023 • Gabriele Berton, Gabriele Trivigno, Barbara Caputo, Carlo Masone
Visual Place Recognition is a task that aims to predict the place of an image (called query) based solely on its visual features.
Ranked #1 on Visual Place Recognition on SF-XL test v1
1 code implementation • 17 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.
1 code implementation • 12 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.
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.
no code implementations • 9 Sep 2022 • Mirco Planamente, Gabriele Goletto, Gabriele Trivigno, Giuseppe Averta, Barbara Caputo
In this report, we describe the technical details of our submission to the EPIC-Kitchens-100 Unsupervised Domain Adaptation (UDA) Challenge in Action Recognition.
1 code implementation • 8 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.
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.