no code implementations • 3 Oct 2024 • Haodong Xie, Rahul Singh Maharjan, Federico Tavella, Angelo Cangelosi
We evaluate the model language learning ability through language-to-visual and visual-to-language tests with high order abstract concepts.
no code implementations • 14 Jun 2024 • Federico Tavella, Aphrodite Galata, Angelo Cangelosi
In particular, we focus on imitation learning for artificial agents, exemplified by teaching a simulated humanoid American Sign Language.
no code implementations • 12 Sep 2022 • Federico Tavella, Aphrodite Galata, Angelo Cangelosi
Learning fine-grained movements is a challenging topic in robotics, particularly in the context of robotic hands.
no code implementations • ACL 2022 • Federico Tavella, Viktor Schlegel, Marta Romeo, Aphrodite Galata, Angelo Cangelosi
Signed Language Processing (SLP) concerns the automated processing of signed languages, the main means of communication of Deaf and hearing impaired individuals.
no code implementations • 1 Oct 2021 • Federico Tavella, Aphrodite Galata, Angelo Cangelosi
Inspired by recent developments in natural language processing, we propose a novel approach to sign language processing based on phonological properties validated by American Sign Language users.
no code implementations • 28 Sep 2020 • Federico Tavella, Alberto Giaretta, Mauro Conti, Sasitharan Balasubramaniam
The similarities between these biological media and classical ones can also be a drawback, as malicious parties might replicate traditional attacks on the former archival system, using biological instruments and techniques.