C. Lawrence Zitnick
Also known as Larry Zitnick, C L Zitnick, C. L. Zitnick, C. Lawrencezitnick, C.L. Zitnick, L. Zitnick
C. Lawrence Zitnick is a computer vision researcher who co-authored the Microsoft COCO and VQA papers. He earned a robotics PhD at Carnegie Mellon University in 2003, where his research included stereo vision. The COCO team won the IEEE PAMI Mark Everingham Prize in 2023, and the COCO paper received the Koenderink Prize in 2024. In 2025 he was the FAIR chemistry research director at Meta and co-authored UMA, a family of universal models for atoms, and he is now a research scientist.
Timeline
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2000–2003
Stereo vision at Carnegie Mellon
In 2000 he and Takeo Kanade publish a cooperative algorithm for stereo matching, and he receives a robotics PhD from Carnegie Mellon University in 2003.
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2014–2015
COCO and VQA papers
In 2014 he co-authors Microsoft COCO: Common Objects in Context, and in 2015 he co-authors VQA, which is published at ICCV.
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2015
PhotoDNA at Microsoft Research
In 2015 he is a senior researcher at Microsoft Research and the developer of PhotoDNA, a technology that Microsoft, Facebook, Google and law enforcement agencies use to combat illegal imagery on the web.
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2018–2020
fastMRI and OC20 datasets
In 2018 he co-authors fastMRI, an open dataset and benchmarks for accelerated MRI, and in 2020 he co-authors The Open Catalyst 2020 (OC20) Dataset and Community Challenges.
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2023
Mark Everingham Prize for COCO
In 2023 the IEEE PAMI Mark Everingham Prize goes to the team that develops and maintains COCO, which includes him.
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2024
Koenderink Prize for COCO
In 2024 the Koenderink Prize, awarded at ECCV for papers that have withstood the test of time, goes to Microsoft COCO.
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2025
UMA and FAIR chemistry
In 2025 he is the FAIR chemistry research director at Meta, and he co-authors UMA, a family of universal models for atoms.
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As of October 2026
Research scientist after FAIR
He is a research scientist, after earlier roles at Microsoft Research and Meta's FAIR team.
Sources and credits
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- C. Lawrence Zitnick
- Commonsense, Vision and Language - Robotics Institute Carnegie Mellon University
- [1405.0312] Microsoft COCO: Common Objects in Context
- ICCV 2015 Open Access Repository
- [1811.08839] fastMRI: An Open Dataset and Benchmarks for Accelerated MRI
- [2010.09990] The Open Catalyst 2020 (OC20) Dataset and Community Challenges
- PAMI Mark Everingham Prize - IEEE Computer Society Technical Committee on Pattern Analysis and Machine Intelligence
- Computer Vision Awards – The Computer Vision Foundation
- Computational Chemistry Unlocked: A Record-Breaking Dataset to Train AI Models has Launched - Berkeley Lab – Berkeley Lab News Center
- [2506.23971] UMA: A Family of Universal Models for Atoms
- Larry Zitnick