Jeff Donahue

According to our database1, Jeff Donahue authored at least 38 papers between 2011 and 2018.

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Bibliography

2018
Large Scale GAN Training for High Fidelity Natural Image Synthesis.
CoRR, 2018

2017
Transferrable Representations for Visual Recognition.
PhD thesis, 2017

Long-Term Recurrent Convolutional Networks for Visual Recognition and Description.
IEEE Trans. Pattern Anal. Mach. Intell., 2017

Population Based Training of Neural Networks.
CoRR, 2017

Visual Discovery at Pinterest.
CoRR, 2017

Visual Discovery at Pinterest.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017

2016
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 2016

Context Encoders: Feature Learning by Inpainting.
CoRR, 2016

Generating Visual Explanations.
CoRR, 2016

Adversarial Feature Learning.
CoRR, 2016

Generating Visual Explanations.
Proceedings of the Computer Vision - ECCV 2016, 2016

Context Encoders: Feature Learning by Inpainting.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

2015
Sequence to Sequence - Video to Text.
CoRR, 2015

Data-dependent Initializations of Convolutional Neural Networks.
CoRR, 2015

Visual Search at Pinterest.
CoRR, 2015

Translating Videos to Natural Language Using Deep Recurrent Neural Networks.
Proceedings of the NAACL HLT 2015, The 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Denver, Colorado, USA, May 31, 2015

Visual Search at Pinterest.
Proceedings of the 21th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, 2015

Sequence to Sequence - Video to Text.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Long-term recurrent convolutional networks for visual recognition and description.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation.
International Journal of Computer Vision, 2014

Part-based R-CNNs for Fine-grained Category Detection.
CoRR, 2014

Translating Videos to Natural Language Using Deep Recurrent Neural Networks.
CoRR, 2014

Caffe: Convolutional Architecture for Fast Feature Embedding.
CoRR, 2014

LSDA: Large Scale Detection Through Adaptation.
CoRR, 2014

Long-term Recurrent Convolutional Networks for Visual Recognition and Description.
CoRR, 2014

Open-vocabulary Object Retrieval.
Proceedings of the Robotics: Science and Systems X, 2014

LSDA: Large Scale Detection through Adaptation.
Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Caffe: Convolutional Architecture for Fast Feature Embedding.
Proceedings of the ACM International Conference on Multimedia, MM '14, Orlando, FL, USA, November 03, 2014

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
Proceedings of the 31th International Conference on Machine Learning, 2014

Part-Based R-CNNs for Fine-Grained Category Detection.
Proceedings of the Computer Vision - ECCV 2014, 2014

Rich Feature Hierarchies for Accurate Object Detection and Semantic Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

2013
Efficient Learning of Domain-invariant Image Representations
CoRR, 2013

Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations.
CoRR, 2013

One-Shot Adaptation of Supervised Deep Convolutional Models.
CoRR, 2013

Rich feature hierarchies for accurate object detection and semantic segmentation.
CoRR, 2013

DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition.
CoRR, 2013

Semi-supervised Domain Adaptation with Instance Constraints.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

2011
Annotator rationales for visual recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011


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