Xavier Puig

Research Scientist at FAIR

xavierpuig@meta.com
181 Freemont St, San Francisco

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About Me

I am a Research Scientist at FAIR , working on Embodied AI. Previously, I completed my Ph.D. at the Computer Science and Artificial Intelligence Laboratory (CSAIL) of MIT, advised by Professor Antonio Torralba. Before that, I obtained a double degree in Computer Science and Telecommunications at the CFIS program of UPC.

I am interested in building agents that can assist and collaborate with humans. My research focuses in developing agents that can understand and anticipate human goals, and coordinate with them in performing complex tasks. I also study how to represent humans in simulation environments, including generating realistic motions and plausible high-level behaviors.

If you are interested in these areas, and would like to collaborate, or intern in my team, reach out!

News

Jan. 2023: Our work NOPA was accepted to ICRA'2023.
Oct. 2022: I joined the Embodied AI team at FAIR , to work in human-centered Embodied Intelligence.
Sep. 2022: I defended my Ph.D. Thesis.
Jan. 2022: GenRep was accepted to ICLR 2022.
Apr. 2021: We are organizing the Social AI Virtual Gathering , at ICLR 2021.
Feb. 2021: We are organizing the Social Intelligence in Humans and Robots Workshop, to be held at ICRA'2021.
Jan. 2021: Watch-And-Help was accepted to ICLR'2021 as a Spotlight presentation.
Nov. 2020: Watch-And-Help was accepted to the Cooperative AI Workshop at NeurIPS 2020 as a Best paper award.
Oct. 2020: We released the code for our Watch-And-Help paper.
Sep. 2020: We released the new version of VirtualHome, as well as the Unity Source Code.

Publications

NOPA: Neurally-guided Online Probabilistic Assistance for Building Socially Intelligent Home Assistants
Xavier Puig* , Tianmin Shu*, Josh Tenenbaum , Antonio Torralba .
In Submission
Paper Code Webpage Video
Pre-Trained Language Models for Interactive Decision-Making
Shuang Li , Xavier Puig , Chris Paxton , Yilun Du , Clinton Wang , Linxi Fan ,
Tao Chen , De-An Huang , Ekin Akyurek , Anima Anandkumar , Jacob Andreas ,
Igor Mordatch , Antonio Torralba , Yuke Zhu
In Proc. Neural Information Processing Systems (NeurIPS), 2022 - Oral
Paper Code Webpage
Generative Models as a Data Source for Multiview Representation Learning
Ali Jahanian, Xavier Puig, Yonglong Tian, Phillip Isola.
International Conference on Learning Representations (ICLR), 2022
Paper Code Webpage
Watch-And-Help: A Challenge for Social Perception and Human-AI Collaboration
Xavier Puig, Tianmin Shu, Shuang Li, Ziling Wang, Josh Tenenbaum, Sanja Fidler, Antonio Torralba.
Cooperative AI Workshop at NeurIPS, 2020 - Best paper award
International Conference on Learning Representations (ICLR), 2021 - Spotlight
Paper Code Webpage
Synthesizing Environment-Aware Activities via Activity Sketches
Andrew Liao*, Xavier Puig*, Marko Boben, Antonio Torralba. Sanja Fidler,
In Proc. Computer Vision and Pattern Recognition (CVPR), 2019.
Paper Code Webpage
Semantic Understanding of Scenes through ADE20K Dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Tete Xiao, Sanja Fidler, Adela Barriuso, Antonio Torralba.
International Journal on Computer Vision (IJCV), 2018.
Paper Dataset Benchmark Page Challenge Page Toolkit Demo
VirtualHome: Simulating Household Activities via Programs
Xavier Puig*, Kevin Ra*, Marko Boben*, Jiaman Li, Tingwu Wang, Sanja Fidler, Antonio Torralba,
In Proc. Computer Vision and Pattern Recognition (CVPR), 2018 - Oral
Paper Webpage Press Talk
Open Vocabulary Scene Parsing
Hang Zhao, Xavier Puig, Bolei Zhou, Sanja Fidler, Antonio Torralba.
In Proc. International Conference in Computer Vision (ICCV), 2017.
Paper Page
Scene Parsing through ADE20K Dataset
Bolei Zhou, Hang Zhao, Xavier Puig, Sanja Fidler, Adela Barriuso, Antonio Torralba.
In Proc. Computer Vision and Pattern Recognition (CVPR), 2017.
Paper Dataset Toolkit Demo

Experience

2022.10 - Present: Research Scientist at FAIR
Working on the Embodied AI Team
2016.9 - 2022.9: Research Assistant, MIT Computer Science and Artificial Intelligence Laboratory
Advised by Prof. Antonio Torralba
2019.6 - 2019.8: Research Intern, Google Cambridge working in Contrastive Learning
Advised by Dilip Krishnan, Aaron Maschinot, Aaron Sarna
2017.6 - 2017.8: Research Intern, Google Seattle, working in Mobile Computer Vision and Adaptive Inference.
Advised by Li Zhang, Yukun Zhu, Maxwell Collins

Professional Service