Trevor Darrell
Appearance
Trevor Darrell | |
---|---|
Nationality | American |
Alma mater | MIT |
Scientific career | |
Fields | Computer Science |
Doctoral advisor | Alex Pentland |
Website | https://people.eecs.berkeley.edu/~trevor/ |
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]
Darrell's group at UC Berkeley developed the Caffe deep learning library[7]
Education
- 1996, Ph.D., Massachusetts Institute of Technology
- 1991, M.S., Massachusetts Institute of Technology
- 1988, B.S.E., University of Pennsylvania
References
- ^ "Faculty homepage".
- ^ "Top H-Index For Scientists in University of California, Berkeley". www.guide2research.com. Retrieved 2019-04-13.
- ^ "Trevor Darrell - Google Scholar Citations". scholar.google.com. Retrieved 2019-04-13.
- ^ "DBLP: Trevor Darrell".
- ^ "BBC World Service - The Forum, Deep Learning". BBC. Retrieved 2019-04-13.
- ^ Kuang, Cliff (2017-11-21). "Can A.I. Be Taught to Explain Itself?". The New York Times. ISSN 0362-4331. Retrieved 2019-04-13.
- ^ Jia, Yangqing; Shelhamer, Evan; Donahue, Jeff; Karayev, Sergey; Long, Jonathan; Girshick, Ross; Guadarrama, Sergio; Darrell, Trevor (2014). "Caffe: Convolutional Architecture for Fast Feature Embedding". Proceedings of the 22Nd ACM International Conference on Multimedia. MM '14. New York, NY, USA: ACM: 675–678. arXiv:1408.5093. doi:10.1145/2647868.2654889. ISBN 9781450330633.