Builders & open source
Ross Girshick
First author of R-CNN and Detectron; co-author of Segment Anything; formerly at FAIR, Microsoft and Ai2
Ross Girshick's research interests include algorithms for visual perception, representation learning, and the interaction of vision and language. Girshick's site lists research scientist roles at Microsoft Research (2014–2015), FAIR at Facebook/Meta (2015–2023), and the Allen Institute for AI (2023–2024), and notes that Girshick co-founded Vercept in late 2024, a company acquired in early 2026. Girshick is first author of the 2013 R-CNN object detection paper, is listed first in the citation entry for Detectron, FAIR's Apache-2.0 detection system, and appears among the authors of its successor Detectron2. Girshick is also a co-author of the original Segment Anything paper and of SAM 2.123456
At a glance
- Current role
- None confirmed in the sources
- Sector
- Independent
- Education
- UC Berkeley, UChicago
- Work listed
- 3
- Honors
- 5
- Sources cited
- 12
- Profile reviewed
Career
Ross Girshick was a postdoctoral researcher at UC Berkeley and then worked as a research scientist at Microsoft Research from 2014 to 2015, at FAIR (Facebook, later Meta) from 2015 to 2023, and at the Allen Institute for AI from 2023 to 2024, and in late 2024 co-founded Vercept, which was acquired in early 2026.1
Research
Girshick's 2013 R-CNN paper with Jeff Donahue, Trevor Darrell and Jitendra Malik brought deep convolutional features to object detection. Girshick followed it with Fast R-CNN in 2015 and co-authored Faster R-CNN, which added region proposal networks, later that year.278
At FAIR, Girshick co-authored Mask R-CNN (2017), which extended detection to instance segmentation, and Focal Loss for Dense Object Detection (2017). Later work moved toward representation learning and segmentation, including Masked Autoencoders Are Scalable Vision Learners (2021), Segment Anything (2023) and SAM 2 (2024).9101156
Open-source work
Girshick is listed first in the citation entry for Detectron, FAIR's Apache-2.0 object detection system written in Python on Caffe2, and among the authors of its successor Detectron2. The original Segment Anything repository also lists Girshick among its authors and releases the model under the Apache 2.0 license.3412
Work and contributions
Segment Anything (SAM and SAM 2) Open weights
Co-author of the Segment Anything paper (2023) and the SAM 2 paper (2024). The original repository lists Girshick among its authors and releases the model under the Apache 2.0 license.5612
Detectron and Detectron2 Open-source code
Listed first in the citation entry of Detectron, FAIR's object detection system written in Python on Caffe2 and released under Apache 2.0, and listed among the authors in the citation entry of the Apache-2.0 Detectron2 library.34
R-CNN Published research
First author, with Jeff Donahue, Trevor Darrell, and Jitendra Malik, of "Rich feature hierarchies for accurate object detection and semantic segmentation" (2013), the R-CNN paper.2
Timeline
- Released the R-CNN object detection paper as first author.2
- Joined Microsoft Research as a research scientist.1
- Joined FAIR at Facebook as a research scientist.1
- Released Fast R-CNN.7
- Co-authored Faster R-CNN, introducing region proposal networks.8
- Co-authored Mask R-CNN.9
- Co-authored Masked Autoencoders Are Scalable Vision Learners.11
- Joined the Allen Institute for AI as a research scientist.1
- Co-authored the Segment Anything paper.5
- Co-founded Vercept in late 2024.1
Documented roles
The sources do not confirm a current role; these are the roles they document.
- Research scientist, FAIR (2015–2023), Meta (Facebook AI Research)1
- Research scientist (2023–2024), Allen Institute for AI1
- Research scientist (2014–2015), Microsoft Research1
- Co-founder (late 2024; the company was acquired in early 2026), Vercept1
Honors and recognition
- PAMI Young Researcher Award · IEEE PAMI Technical Committee, 20171
- PAMI Mark Everingham Prize (2017, 2021 and 2023) · IEEE PAMI Technical Committee, 20231
- Longuet-Higgins Prize (R-CNN) · IEEE PAMI Technical Committee (CVPR), 20241
- Helmholtz Prize (Fast R-CNN) · IEEE PAMI Technical Committee (ICCV), 20251
- NeurIPS Test of Time Award (Faster R-CNN) · Conference on Neural Information Processing Systems (NeurIPS), 20251
Companies in their history
Related people
- Nicolas HugConnected to Meta
- Yuxin WuConnected to Meta
- Yangqing JiaConnected to Meta
- Francisco MassaConnected to Meta
- Jeff JohnsonConnected to Meta
- Tong HeML frameworks and libraries · Computer vision
- Sayak PaulComputer vision · ML frameworks and libraries
- Mu LiML frameworks and libraries
- Adam PaszkeML frameworks and libraries
- Bratin SahaML frameworks and libraries
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References
12 sources · profile reviewed Oct 21, 2026 · data updated Oct 21, 2026
- Ross Girshick (rbg) — homepage
- Rich feature hierarchies for accurate object detection and semantic segmentation (arXiv 1311.2524)
- facebookresearch/Detectron README (citation entry and license)
- facebookresearch/detectron2 README (citation entry and license)
- Segment Anything (arXiv 2304.02643)
- SAM 2: Segment Anything in Images and Videos (arXiv 2408.00714)
- Fast R-CNN (arXiv 1504.08083)
- Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks (arXiv 1506.01497)
- Mask R-CNN (arXiv 1703.06870)
- Focal Loss for Dense Object Detection (arXiv 1708.02002)
- Masked Autoencoders Are Scalable Vision Learners (arXiv 2111.06377)
- facebookresearch/segment-anything README (authors and Apache 2.0 license)