926 citations · 2.2k across the 54 of their papers we have counts for
5 papers · 1 filter
GenHowTo: Learning to Generate Actions and State Transformations from Instructional Videos
Tomáš Souček, Dima Damen, Michael Wray +2
We address the task of generating temporally consistent and physically plausible images of actions and object state transformations. Given an input image and a text prompt describi…
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…
Meta-Personalizing Vision-Language Models to Find Named Instances in Video
Chun-Hsiao Yeh, Bryan Russell, Josef Sivic +2
Large-scale vision-language models (VLM) have shown impressive results for language-guided search applications. While these models allow category-level queries, they currently stru…
Language-Guided Music Recommendation for Video via Prompt Analogies
Daniel McKee, Justin Salamon, Josef Sivic +1
We propose a method to recommend music for an input video while allowing a user to guide music selection with free-form natural language. A key challenge of this problem setting is…
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…