14 citations · 20 across the 4 of their papers we have counts for
5 papers
Regressing Transformers for Data-efficient Visual Place Recognition
María Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Visual place recognition is a critical task in computer vision, especially for localization and navigation systems. Existing methods often rely on contrastive learning: image descr…
Data-efficient Large Scale Place Recognition with Graded Similarity Supervision
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
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…
Generalized Contrastive Optimization of Siamese Networks for Place Recognition
María Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Visual place recognition is a challenging task in computer vision and a key component of camera-based localization and navigation systems. Recently, Convolutional Neural Networks (…
Place recognition in gardens by learning visual representations: data set and benchmark analysis
Maria Leyva-Vallina, Nicola Strisciuglio, Nicolai Petkov
Visual place recognition is an important component of systems for camera localization and loop closure detection. It concerns the recognition of a previously visited place based on…
Hierarchical approach to classify food scenes in egocentric photo-streams
Estefania Talavera, Maria Leyva-Vallina, Md. Mostafa Kamal Sarker +3
Recent studies have shown that the environment where people eat can affect their nutritional behaviour. In this work, we provide automatic tools for a personalised analysis of a pe…