activity
20172025
most citedDeep Audio-Visual Speech Recognition

796 citations · 2.2k across the 23 of their papers we have counts for

collaborators
Showing 2020Show all

5 papers · 1 filter

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…

cs.CV2020★ 22 cited

Seeing wake words: Audio-visual Keyword Spotting

Liliane Momeni, Triantafyllos Afouras, Themos Stafylakis +2

The goal of this work is to automatically determine whether and when a word of interest is spoken by a talking face, with or without the audio. We propose a zero-shot method suitab…

cs.CV2020

Self-Supervised Learning of Audio-Visual Objects from Video

Triantafyllos Afouras, Andrew Owens, Joon Son Chung +1

Our objective is to transform a video into a set of discrete audio-visual objects using self-supervised learning. To this end, we introduce a model that uses attention to localize…

cs.CV2020

BSL-1K: Scaling up co-articulated sign language recognition using mouthing cues

Samuel Albanie, Gül Varol, Liliane Momeni +4

Recent progress in fine-grained gesture and action classification, and machine translation, point to the possibility of automated sign language recognition becoming a reality. A ke…

cs.SD2020★ 150 cited

Spot the conversation: speaker diarisation in the wild

Joon Son Chung, Jaesung Huh, Arsha Nagrani +2

The goal of this paper is speaker diarisation of videos collected 'in the wild'. We make three key contributions. First, we propose an automatic audio-visual diarisation method for…