activity
20182021
most citedSeeing wake words: Audio-visual Keyword Spotting

22 citations · 47 across the 6 of their papers we have counts for

collaborators

14 papers

cs.CV202114 cited

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…

cs.CV20216 cited

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…

cs.CV2021

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…

cs.CV20211 cited

Localizing Visual Sounds the Hard Way

Honglie Chen, Weidi Xie, Triantafyllos Afouras +3

The objective of this work is to localize sound sources that are visible in a video without using manual annotations. Our key technical contribution is to show that, by training th…

cs.CV20211 cited

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…

cs.CV2020

Watch, read and lookup: learning to spot signs from multiple supervisors

Liliane Momeni, Gül Varol, Samuel Albanie +2

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 langu…