According to our database1, Jeff Donahue authored at least 19 papers between 2011 and 2017.
Legend:Book In proceedings Article PhD thesis Other
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
Visual Discovery at Pinterest.
Proceedings of the 26th International Conference on World Wide Web Companion, 2017
Region-Based Convolutional Networks for Accurate Object Detection and Segmentation.
IEEE Trans. Pattern Anal. Mach. Intell., 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
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
Asymmetric and Category Invariant Feature Transformations for Domain Adaptation.
International Journal of Computer Vision, 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
Semi-supervised Domain Adaptation with Instance Constraints.
Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013
Annotator rationales for visual recognition.
Proceedings of the IEEE International Conference on Computer Vision, 2011