This work focuses on sign language retrieval--a recently proposed task for sign language
understanding. Sign language retrieval consists of two sub-tasks: text-to-sign-video (T2V) …

Sign language translation (SLT) aims to convert a continuous sign language video clip into a
spoken language. Considering different geographic regions generally have their own native …

Sign language video retrieval plays a key role in facilitating information access for the deaf
community. Despite significant advances in video-text retrieval, the complexity and inherent …

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

This paper tackles the problem of zero-shot sign language recognition (ZSSLR), where the
goal is to leverage models learned over the seen sign classes to recognize the instances of …

The objective of this work is to annotate sign instances across a broad vocabulary in
continuous sign language. We train a Transformer model to ingest a continuous signing …

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 …

Existing work on sign language translation-that is, translation from sign language videos into
sentences in a written language-has focused mainly on (1) data collected in a controlled …

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 …

Continuous sign language recognition (CSLR) is a very challenging task in intelligent
systems, since it requires to produce real-time responses while performing computationally …