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20192021
most citedSim-to-Real Transfer for Vision-and-Language Navigation

21 citations · 34 across the 4 of their papers we have counts for

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8 papers · 1 filter

cs.CV20211 cited

PanGEA: The Panoramic Graph Environment Annotation Toolkit

Alexander Ku, Peter Anderson, Jordi Pont-Tuset +1

PanGEA, the Panoramic Graph Environment Annotation toolkit, is a lightweight toolkit for collecting speech and text annotations in photo-realistic 3D environments. PanGEA immerses…

cs.CV202021 cited

Sim-to-Real Transfer for Vision-and-Language Navigation

Peter Anderson, Ayush Shrivastava, Joanne Truong +4

We study the challenging problem of releasing a robot in a previously unseen environment, and having it follow unconstrained natural language navigation instructions. Recent work o…

cs.CV2020

Where Are You? Localization from Embodied Dialog

Meera Hahn, Jacob Krantz, Dhruv Batra +4

We present Where Are You? (WAY), a dataset of ~6k dialogs in which two humans -- an Observer and a Locator -- complete a cooperative localization task. The Observer is spawned at r…

cs.CV2020

Room-Across-Room: Multilingual Vision-and-Language Navigation with Dense Spatiotemporal Grounding

Alexander Ku, Peter Anderson, Roma Patel +2

We introduce Room-Across-Room (RxR), a new Vision-and-Language Navigation (VLN) dataset. RxR is multilingual (English, Hindi, and Telugu) and larger (more paths and instructions) t…

cs.CV2020

Spatially Aware Multimodal Transformers for TextVQA

Yash Kant, Dhruv Batra, Peter Anderson +4

Textual cues are essential for everyday tasks like buying groceries and using public transport. To develop this assistive technology, we study the TextVQA task, i.e., reasoning abo…

cs.CV20201 cited

Improving Vision-and-Language Navigation with Image-Text Pairs from the Web

Arjun Majumdar, Ayush Shrivastava, Stefan Lee +3

Following a navigation instruction such as 'Walk down the stairs and stop at the brown sofa' requires embodied AI agents to ground scene elements referenced via language (e.g. 'sta…