22 citations · 62 across the 6 of their papers we have counts for
8 papers
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…
Scaling up sign spotting through sign language dictionaries
Gül Varol, Liliane Momeni, Samuel Albanie +2
The focus of this work is - given a video of an isolated sign, our task is to identify and it has been signed in a cont…
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…
Visual Keyword Spotting with Attention
K R Prajwal, Liliane Momeni, Triantafyllos Afouras +1
In this paper, we consider the task of spotting spoken keywords in silent video sequences -- also known as visual keyword spotting. To this end, we investigate Transformer-based mo…
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…
Read and Attend: Temporal Localisation in Sign Language Videos
Gül Varol, Liliane Momeni, Samuel Albanie +2
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 stream a…