130 citations · 371 across the 29 of their papers we have counts for
4 papers · 1 filter
Learning to Learn How to Learn: Self-Adaptive Visual Navigation Using Meta-Learning
Mitchell Wortsman, Kiana Ehsani, Mohammad Rastegari +2
Learning is an inherently continuous phenomenon. When humans learn a new task there is no explicit distinction between training and inference. As we learn a task, we keep learning…
Visual Semantic Navigation using Scene Priors
Wei Yang, Xiaolong Wang, Ali Farhadi +2
How do humans navigate to target objects in novel scenes? Do we use the semantic/functional priors we have built over years to efficiently search and navigate? For example, to sear…
On Evaluation of Embodied Navigation Agents
Peter Anderson, Angel Chang, Devendra Singh Chaplot +8
Skillful mobile operation in three-dimensional environments is a primary topic of study in Artificial Intelligence. The past two years have seen a surge of creative work on navigat…
Who Let The Dogs Out? Modeling Dog Behavior From Visual Data
Kiana Ehsani, Hessam Bagherinezhad, Joseph Redmon +2
We introduce the task of directly modeling a visually intelligent agent. Computer vision typically focuses on solving various subtasks related to visual intelligence. We depart fro…