89 citations · 220 across the 18 of their papers we have counts for
4 papers · 1 filter
AVATAR submission to the Ego4D AV Transcription Challenge
Paul Hongsuck Seo, Arsha Nagrani, Cordelia Schmid
In this report, we describe our submission to the Ego4D AudioVisual (AV) Speech Transcription Challenge 2022. Our pipeline is based on AVATAR, a state of the art encoder-decoder mo…
AVATAR: Unconstrained Audiovisual Speech Recognition
Valentin Gabeur, Paul Hongsuck Seo, Arsha Nagrani +3
Audio-visual automatic speech recognition (AV-ASR) is an extension of ASR that incorporates visual cues, often from the movements of a speaker's mouth. Unlike works that simply foc…
Learning Audio-Video Modalities from Image Captions
Arsha Nagrani, Paul Hongsuck Seo, Bryan Seybold +4
A major challenge in text-video and text-audio retrieval is the lack of large-scale training data. This is unlike image-captioning, where datasets are in the order of millions of s…
End-to-end Generative Pretraining for Multimodal Video Captioning
Paul Hongsuck Seo, Arsha Nagrani, Anurag Arnab +1
Recent video and language pretraining frameworks lack the ability to generate sentences. We present Multimodal Video Generative Pretraining (MV-GPT), a new pretraining framework fo…