9 citations · 13 across the 5 of their papers we have counts for
6 papers
Towards Identity-Aware Cross-Modal Retrieval: a Dataset and a Baseline
Nicola Messina, Lucia Vadicamo, Leo Maltese +1
Recent advancements in deep learning have significantly enhanced content-based retrieval methods, notably through models like CLIP that map images and texts into a shared embedding…
MOBDrone: a Drone Video Dataset for Man OverBoard Rescue
Donato Cafarelli, Luca Ciampi, Lucia Vadicamo +6
Modern Unmanned Aerial Vehicles (UAV) equipped with cameras can play an essential role in speeding up the identification and rescue of people who have fallen overboard, i.e., man o…
A Leap among Quantum Computing and Quantum Neural Networks: A Survey
Fabio Valerio Massoli, Lucia Vadicamo, Giuseppe Amato +1
In recent years, Quantum Computing witnessed massive improvements in terms of available resources and algorithms development. The ability to harness quantum phenomena to solve comp…
The VISIONE Video Search System: Exploiting Off-the-Shelf Text Search Engines for Large-Scale Video Retrieval
Giuseppe Amato, Paolo Bolettieri, Fabio Carrara +5
In this paper, we describe in details VISIONE, a video search system that allows users to search for videos using textual keywords, occurrence of objects and their spatial relation…
Aggregating Binary Local Descriptors for Image Retrieval
Giuseppe Amato, Fabrizio Falchi, Lucia Vadicamo
Content-Based Image Retrieval based on local features is computationally expensive because of the complexity of both extraction and matching of local feature. On one hand, the cost…
Using Apache Lucene to Search Vector of Locally Aggregated Descriptors
Giuseppe Amato, Paolo Bolettieri, Fabrizio Falchi +2
Surrogate Text Representation (STR) is a profitable solution to efficient similarity search on metric space using conventional text search engines, such as Apache Lucene. This tech…