15 citations · 17 across the 2 of their papers we have counts for
2 papers
cs.CV2023★ 2 cited
VidChapters-7M: Video Chapters at Scale
Antoine Yang, Arsha Nagrani, Ivan Laptev +2
Segmenting long videos into chapters enables users to quickly navigate to the information of their interest. This important topic has been understudied due to the lack of publicly…
cs.CV2023★ 15 cited
Vid2Seq: Large-Scale Pretraining of a Visual Language Model for Dense Video Captioning
Antoine Yang, Arsha Nagrani, Paul Hongsuck Seo +5
In this work, we introduce Vid2Seq, a multi-modal single-stage dense event captioning model pretrained on narrated videos which are readily-available at scale. The Vid2Seq architec…