Jeff Donahue
Jeff Donahue
Research Scientist, DeepMind
Verified email at google.com - Homepage
TitleCited byYear
Caffe: Convolutional architecture for fast feature embedding
Y Jia, E Shelhamer, J Donahue, S Karayev, J Long, R Girshick, ...
Proceedings of the 22nd ACM international conference on Multimedia, 675-678, 2014
114512014
Rich feature hierarchies for accurate object detection and semantic segmentation
R Girshick, J Donahue, T Darrell, J Malik
Proceedings of the IEEE conference on computer vision and pattern …, 2014
92682014
Decaf: A deep convolutional activation feature for generic visual recognition
J Donahue, Y Jia, O Vinyals, J Hoffman, N Zhang, E Tzeng, T Darrell
International conference on machine learning, 647-655, 2014
29622014
Long-term recurrent convolutional networks for visual recognition and description
J Donahue, L Anne Hendricks, S Guadarrama, M Rohrbach, ...
Proceedings of the IEEE conference on computer vision and pattern …, 2015
28702015
Context encoders: Feature learning by inpainting
D Pathak, P Krahenbuhl, J Donahue, T Darrell, AA Efros
Proceedings of the IEEE conference on computer vision and pattern …, 2016
10902016
Region-based convolutional networks for accurate object detection and segmentation
R Girshick, J Donahue, T Darrell, J Malik
IEEE transactions on pattern analysis and machine intelligence 38 (1), 142-158, 2015
8732015
Sequence to sequence-video to text
S Venugopalan, M Rohrbach, J Donahue, R Mooney, T Darrell, K Saenko
Proceedings of the IEEE international conference on computer vision, 4534-4542, 2015
6262015
Part-based R-CNNs for fine-grained category detection
N Zhang, J Donahue, R Girshick, T Darrell
European conference on computer vision, 834-849, 2014
5942014
Adversarial feature learning
J Donahue, P Krähenbühl, T Darrell
arXiv preprint arXiv:1605.09782, 2016
5262016
Translating videos to natural language using deep recurrent neural networks
S Venugopalan, H Xu, J Donahue, M Rohrbach, R Mooney, K Saenko
arXiv preprint arXiv:1412.4729, 2014
5192014
Large scale GAN training for high fidelity natural image synthesis
A Brock, J Donahue, K Simonyan
arXiv preprint arXiv:1809.11096, 2018
2252018
Efficient learning of domain-invariant image representations
J Hoffman, E Rodner, J Donahue, T Darrell, K Saenko
arXiv preprint arXiv:1301.3224, 2013
2052013
LSDA: Large scale detection through adaptation
J Hoffman, S Guadarrama, ES Tzeng, R Hu, J Donahue, R Girshick, ...
Advances in Neural Information Processing Systems, 3536-3544, 2014
1892014
Generating visual explanations
LA Hendricks, Z Akata, M Rohrbach, J Donahue, B Schiele, T Darrell
European Conference on Computer Vision, 3-19, 2016
1862016
Data-dependent initializations of convolutional neural networks
P Krähenbühl, C Doersch, J Donahue, T Darrell
arXiv preprint arXiv:1511.06856, 2015
1152015
Population based training of neural networks
M Jaderberg, V Dalibard, S Osindero, WM Czarnecki, J Donahue, ...
arXiv preprint arXiv:1711.09846, 2017
1092017
Semi-supervised domain adaptation with instance constraints
J Donahue, J Hoffman, E Rodner, K Saenko, T Darrell
Proceedings of the IEEE conference on computer vision and pattern …, 2013
922013
Visual search at pinterest
Y Jing, D Liu, D Kislyuk, A Zhai, J Xu, J Donahue, S Tavel
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge …, 2015
692015
Open-vocabulary Object Retrieval.
S Guadarrama, E Rodner, K Saenko, N Zhang, R Farrell, J Donahue, ...
Robotics: science and systems 2 (5), 6, 2014
602014
Annotator rationales for visual recognition
J Donahue, K Grauman
2011 International Conference on Computer Vision, 1395-1402, 2011
602011
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Articles 1–20