Dinesh Jayaraman
Dinesh Jayaraman
Home
Research Group
Publications
Teaching
Video
Long-Horizon Visual Planning with Goal-Conditioned Hierarchical Predictors
To plan towards long-term goals through visual prediction, we propose a model based on two key ideas: (i) predict in a goal-conditioned way to restrict planning only to useful sequences, and (ii) recursively decompose the goal-conditioned prediction task into an increasingly fine series of subgoals.
Karl Pertsch
,
Oleg Rybkin*
,
Frederik Ebert
,
Chelsea Finn
,
Dinesh Jayaraman
,
Sergey Levine
Time-Agnostic Prediction: Predicting Predictable Video Frames
In visual prediction tasks, letting your predictive model choose which times to predict does two things: (i) improves prediction quality, and (ii) leads to semantically coherent “bottleneck state” predictions, which are useful for planning.
Dinesh Jayaraman
,
Frederik Ebert
,
Alexei A Efros
,
Sergey Levine
Object-Centric Representation Learning from Unlabeled Videos
Unsupervised feature learning from video benefits from paying attention to changes in appearance of objects detected by an objectness measure, rather than only paying attention to the whole scene.
Ruohan Gao
,
Dinesh Jayaraman
,
Kristen Grauman
Cite
×