15 citations · 29 across the 4 of their papers we have counts for
7 papers
Breast Mass Detection with Faster R-CNN: On the Feasibility of Learning from Noisy Annotations
Sina Famouri, Lia Morra, Leonardo Mangia +1
In this work we study the impact of noise on the training of object detection networks for the medical domain, and how it can be mitigated by improving the training procedure. Anno…
Comparing State-of-the-Art and Emerging Augmented Reality Interfaces for Autonomous Vehicle-to-Pedestrian Communication
F. Gabriele Pratticò, Fabrizio Lamberti, Alberto Cannavò +2
Providing pedestrians and other vulnerable road users with a clear indication about a fully autonomous vehicle status and intentions is crucial to make them coexist. In the last fe…
Object Tracking through Residual and Dense LSTMs
Fabio Garcea, Alessandro Cucco, Lia Morra +1
Visual object tracking task is constantly gaining importance in several fields of application as traffic monitoring, robotics, and surveillance, to name a few. Dealing with changes…
Bridging the gap between Natural and Medical Images through Deep Colorization
Lia Morra, Luca Piano, Fabrizio Lamberti +1
Deep learning has thrived by training on large-scale datasets. However, in many applications, as for medical image diagnosis, getting massive amount of data is still prohibitive du…
Slicing and dicing soccer: automatic detection of complex events from spatio-temporal data
Lia Morra, Francesco Manigrasso, Giuseppe Canto +3
The automatic detection of events in sport videos has im-portant applications for data analytics, as well as for broadcasting andmedia companies. This paper presents a comprehensiv…
Benchmarking unsupervised near-duplicate image detection
Lia Morra, Fabrizio Lamberti
Unsupervised near-duplicate detection has many practical applications ranging from social media analysis and web-scale retrieval, to digital image forensics. It entails running a t…