University of Pennsylvania
Alexei A. EfrosProfessor · UC BerkeleyResearcher↗
Researcher · Academic
Trevor Darrell
UC BerkeleyProfessor in Residence
Darrell helped develop R-CNN, which brought deep learning to accurate object detection[1], and Caffe, software that made modern vision models easier to train and share.[2] As a longtime Berkeley lab leader, he has also shaped generations of work on visual recognition and adapting models to new settings.
Career & education
Current roleUC Berkeley2008-presentProfessor in Residence
UC Berkeley2008-presentPreviously
MIT1999-2008Professor
MIT1999-2008Education
Work and education history is primarily focused on AI-relevant roles and may not be comprehensive.
Citation Trend
Total citations to scholarly work, including research papers, technical reports, books and theses, as recorded by Google Scholar. Each point is a dated snapshot.
citations353,983As of Nov 1, '26
citations+4,886Since last snapshot, Oct 1, '26
Selected contributions
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
R-CNN identifies objects by applying neural networks to candidate image regions.
References
- R-CNN — original paperarxiv.org
Darrell helped develop R-CNN, which brought deep learning to accurate object detection
- Caffe — original paperarxiv.org
and Caffe, software that made modern vision models easier to train and share.
Based on public sources. If accuracy is important, verify details using the links or references.
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Reviewed August 8, 2026 · Checked for accuracy and new information.
