Gabriele Moreno Berton — accepted AI-conference papers

2024

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

Gabriele Moreno Berton, Gabriele Trivigno, Barbara Caputo, Carlo Masone

RA-L 2024

Visual Place Recognition aims at recognizing previously visited places by relying on visual clues, and it is used in robotics applications for SLAM and localization. Since typically a mobile robot has access to a continuous stream of frames, this task is naturally cast as a sequence-to-sequence loca

Cited by 8 Source ↗code ↗Scholar ↗

2022

Learning Sequential Descriptors for Sequence-Based Visual Place Recognition

Riccardo Mereu, Gabriele Trivigno, Gabriele Moreno Berton, Carlo Masone, Barbara Caputo

RA-L 2022

In robotics, visual place recognition (VPR) 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. This work proposes a taxonomy of the architectures used to learn sequential descriptors for VPR, highlightin

Cited by 42 Source ↗code ↗Scholar ↗