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American computer scientist From Wikipedia, the free encyclopedia
Trevor Jackson Darrell is an American computer scientist and professor at the University of California, Berkeley.[1][2] He is known for his research on computer vision and machine learning[3][4] and is one of the leading experts on topics such as deep learning[5] and explainable AI.[6]
Trevor Darrell | |
---|---|
Nationality | American |
Alma mater | MIT |
Scientific career | |
Fields | Computer Science |
Institutions | University of California, Berkeley |
Doctoral advisor | Alex Pentland |
Website | https://people.eecs.berkeley.edu/~trevor/ |
Darrell's group at UC Berkeley developed the Caffe deep-learning library.[7]
![]() | This section's factual accuracy is disputed. (August 2022) |
When Darrell finished his PhD, he joined the Interval Research Corporation. In 1999, he left the corporation for the MIT EECS department. In 2008, he left MIT for the University of California, Berkeley,[11] where he is now a Professor in Residence.[12]
His former students include Kristen Grauman, Louis-Philippe Morency, and Raquel Urtasun (postdoc).[13][14]
Darrell is a grandson of American attorney Norris Darrell.[15][16]: 107–108
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