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Bio
I'm interested in algorithms for visual perception (object recognition, localization, segmentation, pose estimation, ...) and visual reasoning (answering complex queries, often in natural language, about images). My work explores topics in computer vision and machine/deep/statistical learning.
Ross Girshick is a research scientist at Facebook AI Research (FAIR), working on computer vision and machine learning.

Prior to joining FAIR, Ross was a researcher at Microsoft Research, Redmond and a postdoc at the University of California, Berkeley, where he was advised by Jitendra Malik and Trevor Darrell. His interests include instance-level object understanding and visual reasoning challenges that combine natural language processing with computer vision. He received the 2017 PAMI Young Researcher Award and is well-known for developing the R-CNN (Region-based Convolutional Neural Network) approach to object detection. In 2017, Ross also received the Marr Prize at ICCV for "Mask R-CNN".