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2020 – today
- 2022
[c25]Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katherine Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob L. Menick, Sebastian Borgeaud, Andy Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karén Simonyan:
Flamingo: a Visual Language Model for Few-Shot Learning. NeurIPS 2022- [i23]Jean-Baptiste Alayrac, Jeff Donahue, Pauline Luc, Antoine Miech, Iain Barr, Yana Hasson, Karel Lenc, Arthur Mensch, Katie Millican, Malcolm Reynolds, Roman Ring, Eliza Rutherford, Serkan Cabi, Tengda Han, Zhitao Gong, Sina Samangooei, Marianne Monteiro, Jacob Menick, Sebastian Borgeaud, Andrew Brock, Aida Nematzadeh, Sahand Sharifzadeh, Mikolaj Binkowski, Ricardo Barreira, Oriol Vinyals, Andrew Zisserman, Karen Simonyan:
Flamingo: a Visual Language Model for Few-Shot Learning. CoRR abs/2204.14198 (2022) - 2021
- [c24]Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan:
End-to-end Adversarial Text-to-Speech. ICLR 2021 - 2020
- [c23]Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan:
High Fidelity Speech Synthesis with Adversarial Networks. ICLR 2020 - [c22]Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andy Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli:
Training Generative Adversarial Networks by Solving Ordinary Differential Equations. NeurIPS 2020 - [i22]Jeff Donahue, Sander Dieleman, Mikolaj Binkowski, Erich Elsen, Karen Simonyan:
End-to-End Adversarial Text-to-Speech. CoRR abs/2006.03575 (2020) - [i21]Chongli Qin, Yan Wu, Jost Tobias Springenberg, Andrew Brock, Jeff Donahue, Timothy P. Lillicrap, Pushmeet Kohli:
Training Generative Adversarial Networks by Solving Ordinary Differential Equations. CoRR abs/2010.15040 (2020)
2010 – 2019
- 2019
- [c21]Andrew Brock, Jeff Donahue, Karen Simonyan:
Large Scale GAN Training for High Fidelity Natural Image Synthesis. ICLR 2019 - [c20]Jeff Donahue, Karen Simonyan:
Large Scale Adversarial Representation Learning. NeurIPS 2019: 10541-10551 - [i20]Jeff Donahue, Karen Simonyan:
Large Scale Adversarial Representation Learning. CoRR abs/1907.02544 (2019) - [i19]Aidan Clark, Jeff Donahue, Karen Simonyan:
Efficient Video Generation on Complex Datasets. CoRR abs/1907.06571 (2019) - [i18]Mikolaj Binkowski, Jeff Donahue, Sander Dieleman, Aidan Clark, Erich Elsen, Norman Casagrande, Luis C. Cobo, Karen Simonyan:
High Fidelity Speech Synthesis with Adversarial Networks. CoRR abs/1909.11646 (2019) - [i17]Yan Wu, Jeff Donahue, David Balduzzi, Karen Simonyan, Timothy P. Lillicrap:
LOGAN: Latent Optimisation for Generative Adversarial Networks. CoRR abs/1912.00953 (2019) - 2018
- [i16]Andrew Brock, Jeff Donahue, Karen Simonyan:
Large Scale GAN Training for High Fidelity Natural Image Synthesis. CoRR abs/1809.11096 (2018) - 2017
- [b1]Jeffrey Donahue:
Transferrable Representations for Visual Recognition. University of California, Berkeley, USA, 2017 - [j3]Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, Subhashini Venugopalan
, Sergio Guadarrama, Kate Saenko, Trevor Darrell:
Long-Term Recurrent Convolutional Networks for Visual Recognition and Description. IEEE Trans. Pattern Anal. Mach. Intell. 39(4): 677-691 (2017) - [c19]Jeff Donahue, Philipp Krähenbühl, Trevor Darrell:
Adversarial Feature Learning. ICLR (Poster) 2017 - [c18]Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell:
Visual Discovery at Pinterest. WWW (Companion Volume) 2017: 515-524 - [i15]Andrew Zhai, Dmitry Kislyuk, Yushi Jing, Michael Feng, Eric Tzeng, Jeff Donahue, Yue Li Du, Trevor Darrell:
Visual Discovery at Pinterest. CoRR abs/1702.04680 (2017) - [i14]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:
Population Based Training of Neural Networks. CoRR abs/1711.09846 (2017) - 2016
- [j2]Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik:
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation. IEEE Trans. Pattern Anal. Mach. Intell. 38(1): 142-158 (2016) - [c17]Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros:
Context Encoders: Feature Learning by Inpainting. CVPR 2016: 2536-2544 - [c16]Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell:
Generating Visual Explanations. ECCV (4) 2016: 3-19 - [c15]Philipp Krähenbühl, Carl Doersch, Jeff Donahue, Trevor Darrell:
Data-dependent Initializations of Convolutional Neural Networks. ICLR (Poster) 2016 - [i13]Lisa Anne Hendricks, Zeynep Akata, Marcus Rohrbach, Jeff Donahue, Bernt Schiele, Trevor Darrell:
Generating Visual Explanations. CoRR abs/1603.08507 (2016) - [i12]Deepak Pathak, Philipp Krähenbühl, Jeff Donahue, Trevor Darrell, Alexei A. Efros:
Context Encoders: Feature Learning by Inpainting. CoRR abs/1604.07379 (2016) - [i11]Jeff Donahue, Philipp Krähenbühl, Trevor Darrell:
Adversarial Feature Learning. CoRR abs/1605.09782 (2016) - 2015
- [c14]Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Trevor Darrell, Kate Saenko:
Long-term recurrent convolutional networks for visual recognition and description. CVPR 2015: 2625-2634 - [c13]Subhashini Venugopalan, Marcus Rohrbach, Jeffrey Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. ICCV 2015: 4534-4542 - [c12]Yushi Jing, David C. Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel:
Visual Search at Pinterest. KDD 2015: 1889-1898 - [c11]Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko:
Translating Videos to Natural Language Using Deep Recurrent Neural Networks. HLT-NAACL 2015: 1494-1504 - [i10]Subhashini Venugopalan, Marcus Rohrbach, Jeff Donahue, Raymond J. Mooney, Trevor Darrell, Kate Saenko:
Sequence to Sequence - Video to Text. CoRR abs/1505.00487 (2015) - [i9]Yushi Jing, David C. Liu, Dmitry Kislyuk, Andrew Zhai, Jiajing Xu, Jeff Donahue, Sarah Tavel:
Visual Search at Pinterest. CoRR abs/1505.07647 (2015) - 2014
- [j1]Judy Hoffman, Erik Rodner, Jeff Donahue, Brian Kulis, Kate Saenko:
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation. Int. J. Comput. Vis. 109(1-2): 28-41 (2014) - [c10]Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik:
Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation. CVPR 2014: 580-587 - [c9]Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell:
Part-Based R-CNNs for Fine-Grained Category Detection. ECCV (1) 2014: 834-849 - [c8]Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell:
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. ICML 2014: 647-655 - [c7]Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell:
Caffe: Convolutional Architecture for Fast Feature Embedding. ACM Multimedia 2014: 675-678 - [c6]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Ronghang Hu, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection through Adaptation. NIPS 2014: 3536-3544 - [c5]Sergio Guadarrama, Erik Rodner, Kate Saenko, Ning Zhang, Ryan Farrell, Jeff Donahue, Trevor Darrell:
Open-vocabulary Object Retrieval. Robotics: Science and Systems 2014 - [c4]Judy Hoffman, Eric Tzeng, Jeff Donahue, Yangqing Jia, Kate Saenko, Trevor Darrell:
One-Shot Adaptation of Supervised Deep Convolutional Models. ICLR (Workshop Poster) 2014 - [i8]Ning Zhang, Jeff Donahue, Ross B. Girshick, Trevor Darrell:
Part-based R-CNNs for Fine-grained Category Detection. CoRR abs/1407.3867 (2014) - [i7]Judy Hoffman, Sergio Guadarrama, Eric Tzeng, Jeff Donahue, Ross B. Girshick, Trevor Darrell, Kate Saenko:
LSDA: Large Scale Detection Through Adaptation. CoRR abs/1407.5035 (2014) - [i6]Yangqing Jia, Evan Shelhamer, Jeff Donahue, Sergey Karayev, Jonathan Long, Ross B. Girshick, Sergio Guadarrama, Trevor Darrell:
Caffe: Convolutional Architecture for Fast Feature Embedding. CoRR abs/1408.5093 (2014) - [i5]Jeff Donahue, Lisa Anne Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell:
Long-term Recurrent Convolutional Networks for Visual Recognition and Description. CoRR abs/1411.4389 (2014) - [i4]Subhashini Venugopalan, Huijuan Xu, Jeff Donahue, Marcus Rohrbach, Raymond J. Mooney, Kate Saenko:
Translating Videos to Natural Language Using Deep Recurrent Neural Networks. CoRR abs/1412.4729 (2014) - 2013
- [c3]Jeff Donahue, Judy Hoffman, Erik Rodner, Kate Saenko, Trevor Darrell:
Semi-supervised Domain Adaptation with Instance Constraints. CVPR 2013: 668-675 - [c2]Judy Hoffman, Erik Rodner, Jeff Donahue, Kate Saenko, Trevor Darrell:
Efficient Learning of Domain-invariant Image Representations. ICLR (Poster) 2013 - [i3]Erik Rodner, Judy Hoffman, Jeff Donahue, Trevor Darrell, Kate Saenko:
Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations. CoRR abs/1308.4200 (2013) - [i2]Jeff Donahue, Yangqing Jia, Oriol Vinyals, Judy Hoffman, Ning Zhang, Eric Tzeng, Trevor Darrell:
DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition. CoRR abs/1310.1531 (2013) - [i1]Ross B. Girshick, Jeff Donahue, Trevor Darrell, Jitendra Malik:
Rich feature hierarchies for accurate object detection and semantic segmentation. CoRR abs/1311.2524 (2013) - 2011
- [c1]Jeff Donahue, Kristen Grauman:
Annotator rationales for visual recognition. ICCV 2011: 1395-1402
Coauthor Index
aka: Karén Simonyan
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