activity
20172026
most citedAI2-THOR: An Interactive 3D Environment for Visual AI

312 citations · 425 across the 13 of their papers we have counts for

collaborators
Showing cs.CVShow all

7 papers · 1 filter

cs.CV2023★ 3 cited

Holodeck: Language Guided Generation of 3D Embodied AI Environments

Yue Yang, Fan-Yun Sun, Luca Weihs +11

3D simulated environments play a critical role in Embodied AI, but their creation requires expertise and extensive manual effort, restricting their diversity and scope. To mitigate…

cs.CV2022★ 19 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.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.CV2020

RoboTHOR: An Open Simulation-to-Real Embodied AI Platform

Matt Deitke, Winson Han, Alvaro Herrasti +10

Visual recognition ecosystems (e.g. ImageNet, Pascal, COCO) have undeniably played a prevailing role in the evolution of modern computer vision. We argue that interactive and embod…

cs.CV2019★ 12 cited

Learning Generalizable Visual Representations via Interactive Gameplay

Luca Weihs, Aniruddha Kembhavi, Kiana Ehsani +7

A growing body of research suggests that embodied gameplay, prevalent not just in human cultures but across a variety of animal species including turtles and ravens, is critical in…

cs.CV2019

ALFRED: A Benchmark for Interpreting Grounded Instructions for Everyday Tasks

Mohit Shridhar, Jesse Thomason, Daniel Gordon +5

We present ALFRED (Action Learning From Realistic Environments and Directives), a benchmark for learning a mapping from natural language instructions and egocentric vision to seque…

cs.CV2017★ 312 cited

AI2-THOR: An Interactive 3D Environment for Visual AI

Eric Kolve, Roozbeh Mottaghi, Winson Han +10

We introduce The House Of inteRactions (THOR), a framework for visual AI research, available at http://ai2thor.allenai.org. AI2-THOR consists of near photo-realistic 3D indoor scen…