14 citations · 21 across the 6 of their papers we have counts for
6 papers
A Tale of Two Languages: Large-Vocabulary Continuous Sign Language Recognition from Spoken Language Supervision
Charles Raude, K R Prajwal, Liliane Momeni +4
In this work, our goals are two fold: large-vocabulary continuous sign language recognition (CSLR), and sign language retrieval. To this end, we introduce a multi-task Transformer…
Weakly-supervised Fingerspelling Recognition in British Sign Language Videos
K R Prajwal, Hannah Bull, Liliane Momeni +3
The goal of this work is to detect and recognize sequences of letters signed using fingerspelling in British Sign Language (BSL). Previous fingerspelling recognition methods have n…
Automatic dense annotation of large-vocabulary sign language videos
Liliane Momeni, Hannah Bull, K R Prajwal +3
Recently, sign language researchers have turned to sign language interpreted TV broadcasts, comprising (i) a video of continuous signing and (ii) subtitles corresponding to the aud…
BBC-Oxford British Sign Language Dataset
Samuel Albanie, Gül Varol, Liliane Momeni +8
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 re…
The Local Economic Impact of Mineral Mining in Africa: Evidence from Four Decades of Satellite Imagery
Sandro Provenzano, Hannah Bull
Using state-of-the-art techniques in computer vision, we analyze one million satellite images covering 12% of the African continent between 1984 and 2019 to track local development…
Aligning Subtitles in Sign Language Videos
Hannah Bull, Triantafyllos Afouras, Gül Varol +3
The goal of this work is to temporally align asynchronous subtitles in sign language videos. In particular, we focus on sign-language interpreted TV broadcast data comprising (i) a…