52 citations · 154 across the 17 of their papers we have counts for
20 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 (…
MTStereo 2.0: improved accuracy of stereo depth estimation withMax-trees
Rafael Brandt, Nicola Strisciuglio, Nicolai Petkov
Efficient yet accurate extraction of depth from stereo image pairs is required by systems with low power resources, such as robotics and embedded systems. State-of-the-art stereo m…
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…
Towards Emotion Retrieval in Egocentric PhotoStream
Estefania Talavera, Petia Radeva, Nicolai Petkov
The availability and use of egocentric data are rapidly increasing due to the growing use of wearable cameras. Our aim is to study the effect (positive, neutral or negative) of ego…