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20182022
most citedRetrospectives on the Embodied AI Workshop

19 citations · 21 across the 5 of their papers we have counts for

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cs.CV202219 cited

Retrospectives on the Embodied AI Workshop

Matt Deitke, Dhruv Batra, Yonatan Bisk +36

We present a retrospective on the state of Embodied AI research. Our analysis focuses on 13 challenges presented at the Embodied AI Workshop at CVPR. These challenges are grouped i…

cs.CV20222 cited

Continuous Scene Representations for Embodied AI

Samir Yitzhak Gadre, Kiana Ehsani, Shuran Song +1

We propose Continuous Scene Representations (CSR), a scene representation constructed by an embodied agent navigating within a space, where objects and their relationships are mode…

cs.CV2022

Object Manipulation via Visual Target Localization

Kiana Ehsani, Ali Farhadi, Aniruddha Kembhavi +1

Object manipulation is a critical skill required for Embodied AI agents interacting with the world around them. Training agents to manipulate objects, poses many challenges. These…

cs.CV2021

Act the Part: Learning Interaction Strategies for Articulated Object Part Discovery

Samir Yitzhak Gadre, Kiana Ehsani, Shuran Song

People often use physical intuition when manipulating articulated objects, irrespective of object semantics. Motivated by this observation, we identify an important embodied task w…

cs.CV2021

ManipulaTHOR: A Framework for Visual Object Manipulation

Kiana Ehsani, Winson Han, Alvaro Herrasti +5

The domain of Embodied AI has recently witnessed substantial progress, particularly in navigating agents within their environments. These early successes have laid the building blo…

cs.CV2021

Contrasting Contrastive Self-Supervised Representation Learning Pipelines

Klemen Kotar, Gabriel Ilharco, Ludwig Schmidt +2

In the past few years, we have witnessed remarkable breakthroughs in self-supervised representation learning. Despite the success and adoption of representations learned through th…