33 citations · 100 across the 11 of their papers we have counts for
11 papers
Fuzzy Logic Visual Network (FLVN): A neuro-symbolic approach for visual features matching
Francesco Manigrasso, Lia Morra, Fabrizio Lamberti
Neuro-symbolic integration aims at harnessing the power of symbolic knowledge representation combined with the learning capabilities of deep neural networks. In particular, Logic T…
Bent & Broken Bicycles: Leveraging synthetic data for damaged object re-identification
Luca Piano, Filippo Gabriele Pratticò, Alessandro Sebastian Russo +3
Instance-level object re-identification is a fundamental computer vision task, with applications from image retrieval to intelligent monitoring and fraud detection. In this work, w…
PROTOtypical Logic Tensor Networks (PROTO-LTN) for Zero Shot Learning
Simone Martone, Francesco Manigrasso, Lamberti Fabrizio +1
Semantic image interpretation can vastly benefit from approaches that combine sub-symbolic distributed representation learning with the capability to reason at a higher level of ab…
Faster-LTN: a neuro-symbolic, end-to-end object detection architecture
Francesco Manigrasso, Filomeno Davide Miro, Lia Morra +1
The detection of semantic relationships between objects represented in an image is one of the fundamental challenges in image interpretation. Neural-Symbolic techniques, such as Lo…
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…