Research
I'm interested in algorithms for visual perception
(object recognition, localization, segmentation, pose
estimation, ...), representation learning
(pre-training networks using strong supervision, weak
supervision, or no supervision at all), and the interaction of
vision and language. My work explores
topics in computer vision and machine/deep/statistical learning.
About me / bio
Update: I'm taking a break from research to explore something new and exciting. Stay tuned.
Ross Girshick is an influential AI researcher with over 500,000 citations, 100 papers, and 6 patents from a career spanning 17 years.
He's well-known for inventing the R-CNN computer vision algorithm for object detection, which revolutionized the field with deep learning techniques in 2013,
and for authoring Detectron, widely-used open source software for object detection.
Ross has received numerous awards from top conferences and professional associations, including the PAMI Young Researcher Award (2017),
three-time winner of the PAMI Mark Everingham Prize (2017, 2021, and 2023) for his contributions to open source software and datasets,
and the 2024 Longuet-Higgins Prize (10-year test of time award for R-CNN). Ross has a PhD from the University of Chicago, completed a postdoc at UC Berkeley,
and spent 10 years as a research scientist in top industry and non-profit labs: Microsoft Research (2014-2015), FAIR (Facebook/Meta 2015-2023),
and the Allen Institute for AI (2023-2024).