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Matt Deitke

Matt Deitke has 2 papers in our library, in 2017–2024, most of them on Language models & pretraining, Vision & language; often with Abhinav Gupta, Aniruddha Kembhavi, Christopher Clark.

2 papers in our library · 2017–2024

OpenAlex · h-index 9 · 18 works · 1,399 citations OpenAlex, 2026-10-14

📄 2 works in our library · 🔗 Cited 405 times in our library · 3 more in our library without a page yet · ⭐ Paper Stars ranking: #3687

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

 Affiliations

🔬Allen Institute for Artificial IntelligenceSeattle · United States2021–2025 · 5 papers🎓University of WashingtonSeattle · United States2020–2023 · 4 papers

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

📚 Shelves 7The field of science this work belongs to (OpenAlex fields).Computer Science · 2 worksArtificial Intelligence · 2 worksComputer Vision and Pattern Recognition · 2 worksEngineering · 1 workArts and Humanities · 1 workControl and Systems Engineering · 1 workLanguage and Linguistics · 1 work

🧭 Topics 2Research subjects and languages the work is about.Language models & pretraining · 1 workVision & language · 1 work

 Works by year

2020s

20241 paper

2010s

20171 paper

 Papers

The most cited first (OpenAlex and our library).

  1. AI2-THOR: An Interactive 3D Environment for Visual AI (2017 · 421 citations)
    AI2-THOR, developed mainly at the Allen Institute for AI, is a simulation platform for embodied and visual AI.
  2. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language Models (2024 · 216 citations)
    The strongest vision-language models (VLMs) are closed. Most capable open-weight alternatives are trained on captions or answers produced by proprietary systems such as GPT-4V. In effect they distill closed models, so it remains unclear how to build a strong VLM from scratch. The authors release Molmo, a family of…

All works

5 works of theirs in our library, the most cited first; 2 with a page here, the others link their original until we summarise them.

  1. Objaverse: A Universe of Annotated 3D Objects ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMatt Deitke et al.2023 · 800 citations
  2. AI2-THOR: An Interactive 3D Environment for Visual AIarXiv:1712.05474Eric Kolve, Roozbeh Mottaghi, Winson Han, et al.2017 · 421 citations
  3. RoboTHOR: An Open Simulation-to-Real Embodied AI Platform ↗IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yetMatt Deitke et al.2020 · 231 citations
  4. Molmo and PixMo: Open Weights and Open Data for State-of-the-Art Vision-Language ModelsIEEE Computer Society Conference on Computer Vision and Pattern RecognitionMatt Deitke, Christopher Clark, Sangho Lee, et al.2024 · 216 citations
  5. Scaling Text-Rich Image Understanding via Code-Guided Synthetic Multimodal Data Generation ↗Proceedings of the 63rd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers) · no summary yetYue Yang et al.2025 · 24 citations

 Co-authors here

12 of 13 co-authors with a page, the most papers together first.

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 405 times (of the 149,439 papers whose bibliographies we read); 60 citing papers with a page here →.

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