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20182021
most citedOn the Evaluation of Vision-and-Language Navigation Instructions

11 citations · 12 across the 2 of their papers we have counts for

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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.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.CV2019

Transferable Representation Learning in Vision-and-Language Navigation

Haoshuo Huang, Vihan Jain, Harsh Mehta +4

Vision-and-Language Navigation (VLN) tasks such as Room-to-Room (R2R) require machine agents to interpret natural language instructions and learn to act in visually realistic envir…

cs.CV2018

Capturing human category representations by sampling in deep feature spaces

Joshua C. Peterson, Jordan W. Suchow, Krisha Aghi +2

Understanding how people represent categories is a core problem in cognitive science. Decades of research have yielded a variety of formal theories of categories, but validating th…

cs.CV2018

Image Transformer

Niki Parmar, Ashish Vaswani, Jakob Uszkoreit +4

Image generation has been successfully cast as an autoregressive sequence generation or transformation problem. Recent work has shown that self-attention is an effective way of mod…