Andrea Burns

According to our database, Andrea Burns authored at least 11 papers between 2019 and 2024.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of four.

2024

ImageInWords: Unlocking Hyper-Detailed Image Descriptions.

Roopal Garg, Andrea Burns, Burcu Karagol Ayan, Yonatan Bitton, Ceslee Montgomery, Yasumasa Onoe, Andrew Bunner, Ranjay Krishna, Jason Baldridge, Radu Soricut

Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing, 2024

Tell Me What's Next: Textual Foresight for Generic UI Representations.

Andrea Burns, Kate Saenko, Bryan A. Plummer

Proceedings of the Findings of the Association for Computational Linguistics, 2024

2023

WikiWeb2M: A Page-Level Multimodal Wikipedia Dataset.

Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo

CoRR, 2023

A Suite of Generative Tasks for Multi-Level Multimodal Webpage Understanding.

Andrea Burns, Krishna Srinivasan, Joshua Ainslie, Geoff Brown, Bryan A. Plummer, Kate Saenko, Jianmo Ni, Mandy Guo

Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, 2023

Language-Guided Audio-Visual Source Separation via Trimodal Consistency.

Reuben Tan, Arijit Ray, Andrea Burns, Bryan A. Plummer, Justin Salamon, Oriol Nieto, Bryan Russell, Kate Saenko

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

Interactive Mobile App Navigation with Uncertain or Under-specified Natural Language Commands.

Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer

CoRR, 2022

A Dataset for Interactive Vision-Language Navigation with Unknown Command Feasibility.

Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Unsupervised Disentanglement without Autoencoding: Pitfalls and Future Directions.

Andrea Burns, Aaron Sarna, Dilip Krishnan, Aaron Maschinot

CoRR, 2021

Mobile App Tasks with Iterative Feedback (MoTIF): Addressing Task Feasibility in Interactive Visual Environments.

Andrea Burns, Deniz Arsan, Sanjna Agrawal, Ranjitha Kumar, Kate Saenko, Bryan A. Plummer

CoRR, 2021

2020

Learning to Scale Multilingual Representations for Vision-Language Tasks.

Andrea Burns, Donghyun Kim, Derry Wijaya, Kate Saenko, Bryan A. Plummer

Proceedings of the Computer Vision - ECCV 2020, 2020

2019

Language Features Matter: Effective Language Representations for Vision-Language Tasks.

Andrea Burns, Reuben Tan, Kate Saenko, Stan Sclaroff, Bryan A. Plummer

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019