activity
20162025
most citedGenerating Videos with Scene Dynamics

849 citations · 1.2k across the 17 of their papers we have counts for

collaborators

6 papers

cs.LG20222 cited

Forget-me-not! Contrastive Critics for Mitigating Posterior Collapse

Sachit Menon, David Blei, Carl Vondrick

Variational autoencoders (VAEs) suffer from posterior collapse, where the powerful neural networks used for modeling and inference optimize the objective without meaningfully using…

cs.CV2021

UnweaveNet: Unweaving Activity Stories

Will Price, Carl Vondrick, Dima Damen

Our lives can be seen as a complex weaving of activities; we switch from one activity to another, to maximise our achievements or in reaction to demands placed upon us. Observing a…

cs.CV20163 cited

Following Gaze Across Views

Adrià Recasens, Carl Vondrick, Aditya Khosla +1

Following the gaze of people inside videos is an important signal for understanding people and their actions. In this paper, we present an approach for following gaze across views…

cs.CV20163 cited

Who is Mistaken?

Benjamin Eysenbach, Carl Vondrick, Antonio Torralba

Recognizing when people have false beliefs is crucial for understanding their actions. We introduce the novel problem of identifying when people in abstract scenes have incorrect b…

cs.CV2016233 cited

SoundNet: Learning Sound Representations from Unlabeled Video

Yusuf Aytar, Carl Vondrick, Antonio Torralba

We learn rich natural sound representations by capitalizing on large amounts of unlabeled sound data collected in the wild. We leverage the natural synchronization between vision a…

cs.CV2016849 cited

Generating Videos with Scene Dynamics

Carl Vondrick, Hamed Pirsiavash, Antonio Torralba

We capitalize on large amounts of unlabeled video in order to learn a model of scene dynamics for both video recognition tasks (e.g. action classification) and video generation tas…