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.

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).