Abstract Sign Languages (SLs) are employed by deaf and hard-of-hearing (DHH) people to
communicate on a daily basis. However, the communication with hearing people still faces …

Recent progress in fine-grained gesture and action classification, and machine translation,
point to the possibility of automated sign language recognition becoming a reality. A key …

Sign language recognition is a challenging and often underestimated problem comprising
multi-modal articulators (handshape, orientation, movement, upper body and face) that …

Sign language is the main communication way for deaf and hard-of-hearing (ie, DHH)
people, which is unfamiliar to most non-deaf and hard-of-hearing (non-DHH) people. To …

Sign Languages (SL) serve as the primary mode of communication for the Deaf and Hard of
Hearing communities. Deep learning methods for SL recognition and translation have …

Recently, sign language researchers have turned to sign language interpreted TV
broadcasts, comprising (i) a video of continuous signing and (ii) subtitles corresponding to …

With the growing Deaf and Hard of Hearing population worldwide and the persistent
shortage of certified sign language interpreters, there is a pressing need for an efficient …

In this work, we introduce the BBC-Oxford British Sign Language (BOBSL) dataset, a large-
scale video collection of British Sign Language (BSL). BOBSL is an extended and publicly …

Abstract Systems that can efficiently search collections of sign language videos have been
highlighted as a useful application of sign language technology. However, the problem of …

The focus of this work is sign spotting--given a video of an isolated sign, our task is to identify
whether and where it has been signed in a continuous, co-articulated sign language video …