María Leyva-Vallina — accepted AI-conference papers

2024

Regressing Transformers for Data-efficient Visual Place Recognition

María Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov

ICRA 2024poster

Visual place recognition is a critical task in computer vision, especially for localization and navigation systems. Existing methods often rely on contrastive learning: image descriptors are trained to have small distance for similar images and larger distance for dissimilar ones in a latent space.…

Cited by 3 Source ↗Scholar ↗

2023

Data-Efficient Large Scale Place Recognition With Graded Similarity Supervision

María Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov

CVPR 2023poster

Visual place recognition (VPR) is a fundamental task of computer vision for visual localization. Existing methods are trained using image pairs that either depict the same place or not. Such a binary indication does not consider continuous relations of similarity between images of the same place tak…

Cited by 55 Source ↗PDF ↗code ↗Scholar ↗