As of May 2017,
I'm working as a Research Scientist at
DeepMind in London.
I graduated from UC Berkeley in May 2017
with a Ph.D. in Computer Science, advised by
Trevor Darrell.
My dissertation
and research focused on artificial intelligence, computer vision, and machine learning.
Publications (see Google Scholar for most up-to-date list)
J. Donahue, P. Krähenbühl, T. Darrell.
Adversarial Feature Learning
[pdf, code].
In Proceedings of the International Conference on Learning Representations
(ICLR), Toulon, France, April 2017.
L. A. Hendricks, Z. Akata, M. Rohrbach, J. Donahue, B. Schiele, T. Darrell.
Generating Visual Explanations
[pdf].
In Proceedings of the European Conference on Computer Vision
(ECCV), Amsterdam, Netherlands, October 2016.
D. Pathak, P. Krähenbühl, J. Donahue, T. Darrell, A. Efros.
Context Encoders: Feature Learning by Inpainting
[pdf].
In Proceedings of the Conference on Computer Vision and Pattern Recognition
(CVPR), Las Vegas, Nevada, June 2016.
S. Venugopalan, M. Rohrbach, J. Donahue, R. Mooney, T. Darrell, K. Saenko.
Sequence to Sequence -- Video to Text
[pdf].
In Proceedings of the International Conference on Computer Vision (ICCV), Santiago, Chile, December 2015.
J. Hoffman, S. Guadarrama, E. Tzeng, R. Hu, J. Donahue, R. Girshick, T. Darrell, K. Saenko.
LSDA: Large Scale Detection Through Adaptation
[pdf].
To appear in Proceedings of the Neural Information Processing Systems Conference
(NIPS), Montreal, Canada, December 2014.
S. Guadarrama, E. Rodner, K. Saenko, N. Zhang, R. Farrell, J. Donahue, T. Darrell.
Open-vocabulary Object Retrieval.
In Proceedings of the Robotics: Science and Systems Conference
(RSS, oral), Berkeley, California, July 2014.
J. Donahue and K. Grauman.
Annotator Rationales for Visual Recognition.
In Proceedings of the International Conference on Computer Vision (ICCV), Barcelona, Spain, November 2011.
Industry Experience
Fall 2014 to January 2017:
part-time engineer with Pinterest -
Visual Discovery
Summer 2014:
interned with Pinterest -
Visual Discovery
Summer 2010-2012:
interned with Google -
Image Search Annotation (Summer 2012),
Mobile Search Ad Quality (Summer 2011),
YouTube Content Management System (Summer 2010)
Summer 2008-2009:
interned with National Instruments -
LabVIEW EIO Variable Architecture (Summer 2009),
LabVIEW FPGA (Summer 2008)
Other Stuff
Wrote Smozzy, an Android app that lets users without a data plan
browse the web through text messaging (covered in several tech journals, including
TechCrunch,
CNET,
Engadget,
etc.).