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

Sequence to Sequence - Video to Text.

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[DOI]

Subhashini Venugopalan

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Simultaneous Deep Transfer Across Domains and Tasks.

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[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Learning Deep Object Detectors from 3D Models.

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[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Spatial Semantic Regularisation for Large Scale Object Detection.

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[DOI]

Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Detector discovery in the wild: Joint multiple instance and representation learning.

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[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

Subspace Distribution Alignment for Unsupervised Domain Adaptation.

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[DOI]

Baochen Sun

Kate Saenko

Proceedings of the British Machine Vision Conference 2015, 2015

2014

Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2014

Asymmetric and Category Invariant Feature Transformations for Domain Adaptation.

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[DOI]

Int. J. Comput. Vis., 2014

Deep Domain Confusion: Maximizing for Domain Invariance.

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[DOI]

CoRR, 2014

Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images.

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[DOI]

CoRR, 2014

One-Shot Adaptation of Supervised Deep Convolutional Models.

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[DOI]

Proceedings of the 2nd International Conference on Learning Representations, 2014

LSDA: Large Scale Detection Through Adaptation.

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[DOI]

CoRR, 2014

Open-vocabulary Object Retrieval.

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[DOI]

Proceedings of the Robotics: Science and Systems X, 2014

LSDA: Large Scale Detection through Adaptation.

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[DOI]

Proceedings of the Advances in Neural Information Processing Systems 27: Annual Conference on Neural Information Processing Systems 2014, 2014

Interactive adaptation of real-time object detectors.

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[DOI]

Proceedings of the 2014 IEEE International Conference on Robotics and Automation, 2014

Continuous Manifold Based Adaptation for Evolving Visual Domains.

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[DOI]

Judy Hoffman

Trevor Darrell

Kate Saenko

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Confidence-Rated Multiple Instance Boosting for Object Detection.

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[DOI]

Karim Ali

Kate Saenko

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild.

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[DOI]

Jesse Thomason

Subhashini Venugopalan

Sergio Guadarrama

Kate Saenko

Raymond J. Mooney

Proceedings of the COLING 2014, 2014

From Virtual to Reality: Fast Adaptation of Virtual Object Detectors to Real Domains.

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[DOI]

Baochen Sun

Kate Saenko

Proceedings of the British Machine Vision Conference, 2014

2013

A Category-Level 3D Object Dataset: Putting the Kinect to Work.

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[DOI]

Proceedings of the Consumer Depth Cameras for Computer Vision, 2013

Efficient Learning of Domain-invariant Image Representations

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[DOI]

Proceedings of the 1st International Conference on Learning Representations, 2013

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

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[DOI]

CoRR, 2013

"Off the grid": Self-contained landmarks for improved indoor probabilistic localization.

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[DOI]

Proceedings of the 2013 IEEE Conference on Technologies for Practical Robot Applications, 2013

YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition.

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[DOI]

Sergio Guadarrama

Niveda Krishnamoorthy

Girish Malkarnenkar

Subhashini Venugopalan

Raymond J. Mooney

Trevor Darrell

Kate Saenko

Proceedings of the IEEE International Conference on Computer Vision, 2013

Semi-supervised Domain Adaptation with Instance Constraints.

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[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Generating Natural-Language Video Descriptions Using Text-Mined Knowledge.

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[DOI]

Niveda Krishnamoorthy

Proceedings of the Twenty-Seventh AAAI Conference on Artificial Intelligence, 2013

2012

Discovering Latent Domains for Multisource Domain Adaptation.

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[DOI]

Proceedings of the Computer Vision - ECCV 2012, 2012

From pixels to physics: Probabilistic color de-rendering.

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[DOI]

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

A combined pose, object, and feature model for action understanding.

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[DOI]

Benjamin Packer

Kate Saenko

Daphne Koller

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Practical 3-D object detection using category and instance-level appearance models.

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[DOI]

Proceedings of the 2011 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2011

A category-level 3-D object dataset: Putting the Kinect to work.

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[DOI]

Proceedings of the IEEE International Conference on Computer Vision Workshops, 2011

The NBNN kernel.

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[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2011

Learning object color models from multi-view constraints.

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[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

What you saw is not what you get: Domain adaptation using asymmetric kernel transforms.

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[DOI]

Brian Kulis

Kate Saenko

Trevor Darrell

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

2010

Size Matters: Metric Visual Search Constraints from Monocular Metadata.

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[DOI]

Mario Fritz

Kate Saenko

Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 23: 24th Annual Conference on Neural Information Processing Systems 2010. Proceedings of a meeting held 6-9 December 2010, 2010

Adapting Visual Category Models to New Domains.

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[DOI]

Proceedings of the Computer Vision, 2010

2009

Multistream Articulatory Feature-Based Models for Visual Speech Recognition.

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[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2009

Filtering Abstract Senses From Image Search Results.

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[DOI]

Kate Saenko

Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 22: 23rd Annual Conference on Neural Information Processing Systems 2009. Proceedings of a meeting held 7-10 December 2009, 2009

2008

Unsupervised Learning of Visual Sense Models for Polysemous Words.

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[DOI]

Kate Saenko

Trevor Darrell

Proceedings of the Advances in Neural Information Processing Systems 21, 2008

2007

Object Category Recognition Using Probabilistic Fusion of Speech and Image Classifiers.

[BibT_eX]

[DOI]

Kate Saenko