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From Concrete to Abstract: A Multimodal Generative Approach to Abstract Concept Learning
We evaluate the model language learning ability through language-to-visual and visual-to-language tests with high order abstract concepts.
Bridging the Communication Gap: Artificial Agents Learning Sign Language through Imitation
In particular, we focus on imitation learning for artificial agents, exemplified by teaching a simulated humanoid American Sign Language.
Signs of Language: Embodied Sign Language Fingerspelling Acquisition from Demonstrations for Human-Robot Interaction
Learning fine-grained movements is a challenging topic in robotics, particularly in the context of robotic hands.
WLASL-LEX: a Dataset for Recognising Phonological Properties in American Sign Language
Signed Language Processing (SLP) concerns the automated processing of signed languages, the main means of communication of Deaf and hearing impaired individuals.
Phonology Recognition in American Sign Language
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.
A Machine Learning-based Approach to Detect Threats in Bio-Cyber DNA Storage Systems
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.
