3 citations · 3 across the 1 of their papers we have counts for
3 papers
cs.LG2022★ 3 cited
Representing Spatial Trajectories as Distributions
Dídac Surís, Carl Vondrick
We introduce a representation learning framework for spatial trajectories. We represent partial observations of trajectories as probability distributions in a learned latent space,…
cs.CV2021
Learning the Predictability of the Future
Dídac Surís, Ruoshi Liu, Carl Vondrick
We introduce a framework for learning from unlabeled video what is predictable in the future. Instead of committing up front to features to predict, our approach learns from data w…
cs.CL2019
Learning to Learn Words from Visual Scenes
Dídac Surís, Dave Epstein, Heng Ji +2
Language acquisition is the process of learning words from the surrounding scene. We introduce a meta-learning framework that learns how to learn word representations from unconstr…