16 citations · 33 across the 4 of their papers we have counts for
4 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…
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…
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…