340 citations · 688 across the 31 of their papers we have counts for
8 papers · 1 filter
Less is More: Generating Grounded Navigation Instructions from Landmarks
Su Wang, Ceslee Montgomery, Jordi Orbay +7
We study the automatic generation of navigation instructions from 360-degree images captured on indoor routes. Existing generators suffer from poor visual grounding, causing them t…
Vector-quantized Image Modeling with Improved VQGAN
Jiahui Yu, Xin Li, Jing Yu Koh +7
Pretraining language models with next-token prediction on massive text corpora has delivered phenomenal zero-shot, few-shot, transfer learning and multi-tasking capabilities on bot…
MURAL: Multimodal, Multitask Retrieval Across Languages
Aashi Jain, Mandy Guo, Krishna Srinivasan +5
Both image-caption pairs and translation pairs provide the means to learn deep representations of and connections between languages. We use both types of pairs in MURAL (MUltimodal…
Pathdreamer: A World Model for Indoor Navigation
Jing Yu Koh, Honglak Lee, Yinfei Yang +2
People navigating in unfamiliar buildings take advantage of myriad visual, spatial and semantic cues to efficiently achieve their navigation goals. Towards equipping computational…
Talk, Don't Write: A Study of Direct Speech-Based Image Retrieval
Ramon Sanabria, Austin Waters, Jason Baldridge
Speech-based image retrieval has been studied as a proxy for joint representation learning, usually without emphasis on retrieval itself. As such, it is unclear how well speech-bas…
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…
On the Evaluation of Vision-and-Language Navigation Instructions
Ming Zhao, Peter Anderson, Vihan Jain +4
Vision-and-Language Navigation wayfinding agents can be enhanced by exploiting automatically generated navigation instructions. However, existing instruction generators have not be…
Cross-Modal Contrastive Learning for Text-to-Image Generation
Han Zhang, Jing Yu Koh, Jason Baldridge +2
The output of text-to-image synthesis systems should be coherent, clear, photo-realistic scenes with high semantic fidelity to their conditioned text descriptions. Our Cross-Modal…