activity
20122023
most citedScaling Autoregressive Models for Content-Rich Text-to-Image Generation

340 citations · 688 across the 31 of their papers we have counts for

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Showing 2020Show all

7 papers · 1 filter

cs.CV2020★ 3 cited

Text-to-Image Generation Grounded by Fine-Grained User Attention

Jing Yu Koh, Jason Baldridge, Honglak Lee +1

Localized Narratives is a dataset with detailed natural language descriptions of images paired with mouse traces that provide a sparse, fine-grained visual grounding for phrases. W…

cs.CV2020★ 14 cited

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.CL2020★ 12 cited

Spatial Language Representation with Multi-Level Geocoding

Sayali Kulkarni, Shailee Jain, Mohammad Javad Hosseini +3

We present a multi-level geocoding model (MLG) that learns to associate texts to geographic locations. The Earth's surface is represented using space-filling curves that decompose…

cs.CL2020★ 5 cited

Mapping Natural Language Instructions to Mobile UI Action Sequences

Yang Li, Jiacong He, Xin Zhou +2

We present a new problem: grounding natural language instructions to mobile user interface actions, and create three new datasets for it. For full task evaluation, we create PIXELH…

cs.CL2020

Text Classification with Few Examples using Controlled Generalization

Abhijit Mahabal, Jason Baldridge, Burcu Karagol Ayan +2

Training data for text classification is often limited in practice, especially for applications with many output classes or involving many related classification problems. This mea…

cs.CL2020★ 14 cited

Crisscrossed Captions: Extended Intramodal and Intermodal Semantic Similarity Judgments for MS-COCO

Zarana Parekh, Jason Baldridge, Daniel Cer +2

By supporting multi-modal retrieval training and evaluation, image captioning datasets have spurred remarkable progress on representation learning. Unfortunately, datasets have lim…

cs.CV2020★ 20 cited

Retouchdown: Adding Touchdown to StreetLearn as a Shareable Resource for Language Grounding Tasks in Street View

Harsh Mehta, Yoav Artzi, Jason Baldridge +2

The Touchdown dataset (Chen et al., 2019) provides instructions by human annotators for navigation through New York City streets and for resolving spatial descriptions at a given l…