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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.
ChoiceNet: CNN learning through choice of multiple feature map representations
We introduce a new architecture called ChoiceNet where each layer of the network is highly connected with skip connections and channelwise concatenations.
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