Sotabase

Career

· Research Scientist, DeepMind2017–
· Software Engineer, Pinterest2014–2017
· Software Engineering Intern, Pinterest2014–2014
· Software Engineering Intern, Google2012–2012
· Software Engineering Intern, Google2011–2011
· Graduate Student Researcher, UC Berkeley2011–2017
· Ph.D., Computer Science, University of California - Berkeley2011–2017
· Student Technician, Applied Research Labs2010–2010
· Software Engineering Intern, Google2010–2010
· R D Intern, National Instruments2009–2009
· R D Intern, National Instruments2008–2008
· B.S., Turing Scholars Honors Computer Science, The University of Texas at Austin2007–2011

Publications (52)

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation
2014 IEEE Conference on Computer Vision and Pattern Recognition · 2013
28,347
cited
Caffe: Convolutional Architecture for Fast Feature Embedding
ACM Multimedia · 2014
14,817
cited
Long-term recurrent convolutional networks for visual recognition and description
Computer Vision and Pattern Recognition · 2014
6,307
cited
Large Scale GAN Training for High Fidelity Natural Image Synthesis
International Conference on Learning Representations · 2018
5,944
cited
Context Encoders: Feature Learning by Inpainting
Computer Vision and Pattern Recognition · 2016
5,635
cited
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition
International Conference on Machine Learning · 2013
5,058
cited
Flamingo: a Visual Language Model for Few-Shot Learning
Neural Information Processing Systems · 2022
4,978
cited
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation
IEEE Transactions on Pattern Analysis and Machine Intelligence · 2016
2,584
cited
Adversarial Feature Learning
International Conference on Learning Representations · 2016
1,890
cited
Sequence to Sequence -- Video to Text
IEEE International Conference on Computer Vision · 2015
1,472
cited
Part-Based R-CNNs for Fine-Grained Category Detection
European Conference on Computer Vision · 2014
1,290
cited
Translating Videos to Natural Language Using Deep Recurrent Neural Networks
North American Chapter of the Association for Computational Linguistics · 2014
979
cited
Population Based Training of Neural Networks
arXiv.org · 2017
828
cited
Generating Visual Explanations
European Conference on Computer Vision · 2016
647
cited
Large Scale Adversarial Representation Learning
Neural Information Processing Systems · 2019
570
cited
LSDA: Large Scale Detection through Adaptation
Neural Information Processing Systems · 2014
337
cited
Efficient Learning of Domain-invariant Image Representations
International Conference on Learning Representations · 2013
296
cited
Adversarial Video Generation on Complex Datasets
2019
270
cited
High Fidelity Speech Synthesis with Adversarial Networks
International Conference on Learning Representations · 2019
262
cited
CONVOLUTIONAL NEURAL NETWORKS
2015
206
cited
Sotabase
Jeff Donahue | Researcher Profile | Sotabase | Sotabase