25 citations · 43 across the 4 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…
A CLIP-Hitchhiker's Guide to Long Video Retrieval
Max Bain, Arsha Nagrani, Gül Varol +1
Our goal in this paper is the adaptation of image-text models for long video retrieval. Recent works have demonstrated state-of-the-art performance in video retrieval by adopting C…
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…
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…
Sign Segmentation with Changepoint-Modulated Pseudo-Labelling
Katrin Renz, Nicolaj C. Stache, Neil Fox +2
The objective of this work is to find temporal boundaries between signs in continuous sign language. Motivated by the paucity of annotation available for this task, we propose a si…
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…