Get our free extension to see links to code for papers anywhere online!

Chrome logo Add to Chrome

Firefox logo Add to Firefox

Picture for Jeff Donahue

Training Generative Adversarial Networks by Solving Ordinary Differential Equations


Oct 28, 2020
Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli


  Access Paper or Ask Questions

End-to-End Adversarial Text-to-Speech


Jun 05, 2020
Jeff Donahue, Sander Dieleman, Mikołaj Bińkowski, Erich Elsen, Karen Simonyan


  Access Paper or Ask Questions

LOGAN: Latent Optimisation for Generative Adversarial Networks


Dec 02, 2019
Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy Lillicrap


  Access Paper or Ask Questions

High Fidelity Speech Synthesis with Adversarial Networks


Sep 26, 2019
Mikołaj Bińkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan


  Access Paper or Ask Questions

Efficient Video Generation on Complex Datasets


Jul 15, 2019
Aidan Clark, Jeff Donahue, Karen Simonyan


  Access Paper or Ask Questions

Large Scale Adversarial Representation Learning


Jul 04, 2019
Jeff Donahue, Karen Simonyan


  Access Paper or Ask Questions

Large Scale GAN Training for High Fidelity Natural Image Synthesis


Sep 28, 2018
Andrew Brock, Jeff Donahue, Karen Simonyan


  Access Paper or Ask Questions

Population Based Training of Neural Networks


Nov 28, 2017
Max Jaderberg, Valentin Dalibard, Simon Osindero, Wojciech M. Czarnecki, Jeff Donahue, Ali Razavi, Oriol Vinyals, Tim Green, Iain Dunning, Karen Simonyan, Chrisantha Fernando, Koray Kavukcuoglu


  Access Paper or Ask Questions

Adversarial Feature Learning


Apr 03, 2017
Jeff Donahue, Philipp Krähenbühl, Trevor Darrell

* Published as a conference paper at ICLR 2017. Changelog: (v7) Table 2 results improved 1-2% due to averaging predictions over 10 crops at test time, as done in Noroozi & Favaro; Table 3 VOC classification results slightly improved due to minor bugfix. (See v6 changelog for previous versions.) 

  Access Paper or Ask Questions

Visual Discovery at Pinterest


Mar 25, 2017
Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell


  Access Paper or Ask Questions

Visual Search at Pinterest


Mar 08, 2017
Yushi Jing, David Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel

* in Proceedings of the 21th ACM SIGKDD International Conference on Knowledge and Discovery and Data Mining, 2015 

  Access Paper or Ask Questions

Context Encoders: Feature Learning by Inpainting


Nov 21, 2016
Deepak Pathak, Philipp Krahenbuhl, Jeff Donahue, Trevor Darrell, Alexei A. Efros

* CVPR 2016 
* New results on ImageNet Generation 

  Access Paper or Ask Questions

Data-dependent Initializations of Convolutional Neural Networks


Sep 22, 2016
Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell

* ICLR 2016 

  Access Paper or Ask Questions

Long-term Recurrent Convolutional Networks for Visual Recognition and Description


May 31, 2016
Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Kate Saenko, Trevor Darrell

* Originally presented at CVPR 2015 (oral). Updated version (accepted as a TPAMI journal article) includes additional results 

  Access Paper or Ask Questions

Generating Visual Explanations


Mar 28, 2016
Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell


  Access Paper or Ask Questions

Sequence to Sequence -- Video to Text


Oct 19, 2015
Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond Mooney, Trevor Darrell, Kate Saenko

* ICCV 2015 camera-ready. Includes code, project page and LSMDC challenge results 

  Access Paper or Ask Questions

Translating Videos to Natural Language Using Deep Recurrent Neural Networks


Apr 30, 2015
Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond Mooney, Kate Saenko

* NAACL-HLT 2015 camera ready 

  Access Paper or Ask Questions

LSDA: Large Scale Detection Through Adaptation


Nov 01, 2014
Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross Girshick, Trevor Darrell, Kate Saenko

* Neural Information Processing Systems (NIPS) 2014 

  Access Paper or Ask Questions

Rich feature hierarchies for accurate object detection and semantic segmentation


Oct 22, 2014
Ross Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik

* Extended version of our CVPR 2014 paper; latest update (v5) includes results using deeper networks (see Appendix G. Changelog) 

  Access Paper or Ask Questions

Part-based R-CNNs for Fine-grained Category Detection


Jul 15, 2014
Ning Zhang, Jeff Donahue, Ross Girshick, Trevor Darrell

* 16 pages. To appear at European Conference on Computer Vision (ECCV), 2014 

  Access Paper or Ask Questions

Caffe: Convolutional Architecture for Fast Feature Embedding


Jun 20, 2014
Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross Girshick, Sergio Guadarrama, Trevor Darrell

* Tech report for the Caffe software at http://github.com/BVLC/Caffe/ 

  Access Paper or Ask Questions

One-Shot Adaptation of Supervised Deep Convolutional Models


Feb 18, 2014
Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell

* ICLR Workshop 2014 

  Access Paper or Ask Questions

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition


Oct 06, 2013
Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell


  Access Paper or Ask Questions

Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations


Aug 20, 2013
Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko


  Access Paper or Ask Questions

Efficient Learning of Domain-invariant Image Representations


Apr 09, 2013
Judy Hoffman, Erik Rodner, Jeff Donahue, Trevor Darrell, Kate Saenko

* ICLR 2013 

  Access Paper or Ask Questions