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<h2>Publications</h2>
<p>For the most up to date list, see this <ahref="https://scholar.google.com/citations?hl=en&user=9xDADY4AAAAJ">Google Scholar page.</a></p>

<h2>2016</h2>

<p>
Huijuan Xu, Kate Saenko.
<ahref="http://arxiv.org/abs/1511.05234">"Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering"</a>.
In European Conference on Computer Vision (ECCV), 2016.
</p>

<p>
Xingchao Peng, Kate Saenko,
Combining Texture and Shape Cues for Object Detection with Minimal Supervision, ACCV 2016.
</p>

<p>
Xingchao Peng, Judy Hoffman, Stella X Yu, Kate Saenko,
<ahref="https://arxiv.org/abs/1605.06695">Fine-to-coarse Knowledge Transfer For Low-Res Image Classification</a>,
ICIP 2016.
</p>

<p>
Baochen Sun and Kate Saenko,
<ahref="https://arxiv.org/abs/1607.01719">Deep CORAL: Correlation Alignment for Deep Domain Adaptation(Extended Abstract)</a>,
arXiv 2016.
</p>

<p>
Ronghang Hu, Huazhe Xu, Marcus Rohrbach, Jiashi Feng, Kate Saenko, Trevor Darrell,
<ahref="http://arxiv.org/abs/1511.04164">Natural Language Object Retrieval</a>,
CVPR <fontcolor="red">Oral Presentation</font>, 2016.
</p>

<p>
Lisa Anne Hendricks, Subhashini Venugopalan, Marcus Rohrbach, Raymond Mooney, Kate Saenko, Trevor Darrell,
<ahref="http://arxiv.org/abs/1511.05284">Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data</a>,
CVPR <fontcolor="red">Oral Presentation</font>, 2016.
</p>

<p>
Baochen Sun, Jiashi Feng, Kate Saenko;
<ahref="http://arxiv.org/abs/1511.05547">Return of Frustratingly Easy Domain Adaptation;</a>
AAAI, 2016.
</p>

<h2>2015</h2>

<p>
Huijuan Xu and Kate Saenko,
<ahref="http://arxiv.org/abs/1511.05234">Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering</a>,
arXiv 2015.
</p>

<p>
Baochen Sun, Jiashi Feng, Kate Saenko;
<ahref="http://arxiv.org/abs/1511.05547">Return of Frustratingly Easy Domain Adaptation (Extended Abstract);</a>
<fontcolor="red">Best Paper Prize</font> of TASK-CV Workshop at ICCV, 2015.
</p>

<p>
D. Mrowca, M. Rohrbach, J. Hoffman, R. Hu, K. Saenko, T. Darrell,
<ahref="http://www.cv-foundation.org/openaccess/content_iccv_2015/papers/Mrowca_Spatial_Semantic_Regularisation_ICCV_2015_paper.html">
Spatial Semantic Regularisation for Large Scale Object Detection</a>,
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015.
</p>

<p>
S. Venugopalan, M. Rohrbach, J. Donahue, R. Mooney, T. Darrell, K. Saenko,
<ahref="http://www.cv-foundation.org/openaccess/content_iccv_2015/html/Venugopalan_Sequence_to_Sequence_ICCV_2015_paper.html">
Sequence to sequence-video to text </a>,
Proceedings of the IEEE International Conference on Computer Vision (ICCV), 2015.
</p>

<p>
Xingchao Peng, Baochen Sun, Karim Ali, Kate Saenko,
<ahref="http://www.cv-foundation.org/openaccess/content_iccv_2015/html/Peng_Learning_Deep_Object_ICCV_2015_paper.html">
Learning Deep Object Detectors from 3D Models;</a>
ICCV, 2015.
</p>

<p>
E. Tzeng, J. Hoffman, T. Darrell, K. Saenko,
<ahref="http://www.cv-foundation.org/openaccess/content_iccv_2015/html/Tzeng_Simultaneous_Deep_Transfer_ICCV_2015_paper.html">
Simultaneous Deep Transfer Across Domains and Tasks</a>
ICCV, 2015.
</p>

<p>
Baochen Sun, Kate Saenko;
<ahref="http://bmvc2015.swansea.ac.uk/proceedings/papers/paper024/index.html">Subspace Distribution Alignment for Unsupervised Domain Adaptation;</a>
BMVC, 2015.
</p>

<p>
Baochen Sun, Xingchao Peng, Kate Saenko;
<ahref="http://vision.cs.uml.edu/datasets/">Generating Large Scale Image Datasets from 3D CAD Models;</a>
The Future of Datasets in Vision Workshop at CVPR, 2015.
</p>

<p>
Huijuan Xu, Subhashini Venugopalan, Vasili Ramanishka, Marcus Rohrbach, Kate Saenko;
<ahref="http://arxiv.org/abs/1505.05914">A Multi-scale Multiple Instance Video Description Network;</a>
arXiv 2015.
</p>

<p>
Jeff Donahue, Lisa Hendricks, Sergio Guadarrama, Marcus Rohrbach, Subhashini Venugopalan, Kate Saenko, Trevor Darrell.
<ahref="http://arxiv.org/abs/1411.4389">Long-term Recurrent Convolutional Networks for Visual Recognition and Description.</a>
CVPR 2015.
[<ahref="http://jeffdonahue.com/lrcn/">Project Website & Code</a>]
</p>

<p>
Subhashini Venugopalan, Huijun Xu, Jeff Donahue, Marcus Rohrbach, Raymond Mooney, Kate Saenko.
<ahref="http://www.cs.utexas.edu/~ai-lab/downloadPublication.php?filename=http://www.cs.utexas.edu/users/ml/papers/venugopalan.naacl15.pdf&pubid=127495">Translating Videos to Natural Language Using Deep Recurrent Neural Networks. </a>
NAACL 2015.
</p>

<p>Hoffman, Judy; Pathak, Deepak; Darrell, Trevor; Saenko, Kate; <ahref=> Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning</a>, CVPR, 2015</p>

<p>Peng, Xingchao; Sun, Baochen; Ali, Karim; Saenko, Kate; <ahref=> Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images,</a> ICLR, Workshop Track, 2014</p>


<h2>2014</h2>

<p> Donahue, Jeff; Hendricks, Lisa Anne; Guadarrama, Sergio; Rohrbach, Marcus; Venugopalan, Subhashini; Saenko, Kate; Darrell, Trevor; <ahref=> Long-term recurrent convolutional networks for visual recognition and description, </a>	arXiv preprint arXiv:1411.4389, 2014	</p>

<p> Hoffman, Judy; Pathak, Deepak; Darrell, Trevor; Saenko, Kate; <ahref=> Detector Discovery in the Wild: Joint Multiple Instance and Representation Learning, </a>	arXiv preprint arXiv:1412.1135, 2014	</p>

<p> Tzeng, Eric; Hoffman, Judy; Zhang, Ning; Saenko, Kate; Darrell, Trevor; <ahref=> Deep Domain Confusion: Maximizing for Domain Invariance, </a>	arXiv preprint arXiv:1412.3474, 2014	</p>

<p> Venugopalan, Subhashini; Xu, Huijuan; Donahue, Jeff; Rohrbach, Marcus; Mooney, Raymond; Saenko, Kate; <ahref=> Translating Videos to Natural Language Using Deep Recurrent Neural Networks, </a>	arXiv preprint arXiv:1412.4729, 2014	</p>

<p> Peng, Xingchao; Sun, Baochen; Ali, Karim; Saenko, Kate; <ahref=> Exploring Invariances in Deep Convolutional Neural Networks Using Synthetic Images, </a>	arXiv preprint arXiv:1412.7122, 2014	</p>

<p> Chakrabarti, Ayan; Xiong, Ying; Sun, Baochen; Darrell, Trevor; Scharstein, Daniel; Zickler, Todd; Saenko, Kate; <ahref=> Modeling Radiometric Uncertainty for Vision with Tone-mapped Color Images </a>, IEEE, 2014	</p>

<p> Goehring, Daniel; Hoffman, Judy; Rodner, Erik; Saenko, Kate; Darrell, Trevor; <ahref=> Interactive adaptation of real-time object detectors </a>, Robotics and Automation (ICRA), 2014 IEEE International Conference on, IEEE, 2014	</p>

<p> Hoffman, Judy; Rodner, Erik; Donahue, Jeff; Kulis, Brian; Saenko, Kate; <ahref=> Asymmetric and Category Invariant Feature Transformations for Domain Adaptation, </a>	International Journal of Computer Vision, Springer US, 2014	</p>

<p> Sun, Baochen; Saenko, Kate; <ahref=> From virtual to reality: Fast adaptation of virtual object detectors to real domains </a>, BMVC, 2014	</p>

<p> Ali, Karim; Saenko, Kate; <ahref=> Confidence-rated multiple instance boosting for object detection </a>, Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, IEEE, 2014	</p>

<p> Guadarrama, Sergio; Rodner, Erik; Saenko, Kate; Zhang, Ning; Farrell, Ryan; Donahue, Jeff; Darrell, Trevor; <ahref=> Open-vocabulary object retrieval </a>,RSS, 2014	</p>

<p>
J. Thomason, S. Venugopalan, S. Guadarrama, K. Saenko, and R. Mooney.
<ahref="http://anthology.aclweb.org/C/C14/C14-1115.pdf">Integrating language and vision to generate natural language descriptions of videos in the wild.</a>
In Proceedings of the 25th International Conference on Computational Linguistics (COLING), August 2014.
</p>

<p> Hoffman, Judy; Darrell, Trevor; Saenko, Kate; <ahref=> Continuous manifold based adaptation for evolving visual domains </a>, Computer Vision and Pattern Recognition (CVPR), 2014 IEEE Conference on, IEEE, 2014	</p>

<p> Hoffman, Judy; Guadarrama, Sergio; Tzeng, Eric S; Hu, Ronghang; Donahue, Jeff; Girshick, Ross; Darrell, Trevor; Saenko, Kate; <ahref=> LSDA: Large scale detection through adaptation, </a>	Advances in Neural Information Processing Systems, 2014	</p>


<h3>2013</h3>

<p> Hoffman, Judy; Rodner, Erik; Donahue, Jeff; Darrell, Trevor; Saenko, Kate; <ahref=> Efficient learning of domain-invariant image representations, </a>	arXiv preprint arXiv:1301.3224, 2013	</p>

<p> Rodner, Erik; Hoffman, Judy; Donahue, Jeff; Darrell, Trevor; Saenko, Kate; <ahref=> Towards adapting imagenet to reality: Scalable domain adaptation with implicit low-rank transformations, </a>	arXiv preprint arXiv:1308.4200, 2013	</p>

<p> Hoffman, Judy; Tzeng, Eric; Donahue, Jeff; Jia, Yangqing; Saenko, Kate; Darrell, Trevor; <ahref=> One-Shot Adaptation of Supervised Deep Convolutional Models, </a>	arXiv preprint arXiv:1312.6204, 2013	</p>

<p> Janoch, Allison; Karayev, Sergey; Jia, Yangqing; Barron, Jonathan T; Fritz, Mario; Saenko, Kate; Darrell, Trevor; <ahref=> A category-level 3d object dataset: Putting the kinect to work, </a>	Consumer Depth Cameras for Computer Vision, Springer London, 2013	</p>

<p> McCann, Eric; Medvedev, Mikhail; Brooks, Daniel J; Saenko, Kate; <ahref=> "Off the grid": Self-contained landmarks for improved indoor probabilistic localization </a>, Technologies for Practical Robot Applications (TePRA), 2013 IEEE International Conference on, IEEE, 2013	</p>

<p> Krishnamoorthy, Niveda; Malkarnenkar, Girish; Mooney, Raymond; Saenko, Kate; Guadarrama, Sergio; <ahref=> Generating natural-language video descriptions using text-mined knowledge, </a> NAACL HLT, 2013	</p>

<p> Donahue, Jeff; Hoffman, Judy; Rodner, Erik; Saenko, Kate; Darrell, Trevor; <ahref=> Semi-supervised domain adaptation with instance constraints </a>, Computer Vision and Pattern Recognition (CVPR), 2013 IEEE Conference on, IEEE, 2013	</p>


<p>
Sergio Guadarrama, Niveda Krishnamoorthy, Girish Malkarnenkar, Subhashini Venugopalan, Raymond Mooney, Trevor Darrell, and Kate Saenko;
<ahref="http://www.eecs.berkeley.edu/~sguada/pdfs/2013-ICCV-YouTube2Text-final.pdf">Youtube2text: Recognizing and describing arbitrary activities using semantic hierarchies and zero-shot recognition.</a>
In IEEE International Conference on Computer Vision (ICCV) 2013.
[<ahref="http://www.eecs.berkeley.edu/~sguada/youtube2text.html">dataset</a>]
</p>

<p> Huang, Ke; Ding, Xiang; Chen, Guanling; Saenko, Kate; <ahref=> Automatic mobile photo tagging using context, </a>	TENCON 2013-2013 IEEE Region 10 Conference (31194), IEEE, 2013	</p>

<h3>2012</h3>

<p> Xiong, Ying; Saenko, Kate; Darrell, Trevor; Zickler, Todd; <ahref=> From pixels to physics: Probabilistic color de-rendering </a>, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE, 2012	</p>

<p> Packer, Benjamin; Saenko, Kate; Koller, Daphne; <ahref=> A combined pose, object, and feature model for action understanding </a>, Computer Vision and Pattern Recognition (CVPR), 2012 IEEE Conference on, IEEE, 2012 </p>

<p> Hoffman, Judy; Kulis, Brian; Darrell, Trevor; Saenko, Kate; <ahref=> Discovering latent domains for multisource domain adaptation, </a> European Conference on Computer Vision (ECCV), 2012	</p>

<p> Saenko, Kate; Packer, Ben; Chen, C; Bandla, S; Lee, Y; Jia, Yangqing; Niebles, J; Koller, D; Fei-Fei, L; Grauman, K; <ahref=> Mid-level features improve recognition of interactive activities </a>, UC Berkeley EECS Technical Report, 2012	</p>


<h3>2011</h3>


<p> Saenko, Kate; Karayev, Sergey; Jia, Yangqing; Shyr, Alex; Janoch, Allison; Long, Jonathan; Fritz, Mario; Darrell, Trevor; <ahref=> Practical 3-D object detection using category and instance-level appearance models </a>, Intelligent Robots and Systems (IROS), 2011 IEEE/RSJ International Conference on, IEEE, 2011	</p>

<p> Hoffman, Judy; Saenko, Kate; Kulis, Brian; Darrell, Trevor; <ahref=> Domain adaptation with multiple latent domains, </a>	NIPS Domain Adaptation Workshop, 2011 </p>

<p>T. Tuytelaars, M. Fritz, K. Saenko,
T. Darrell, <ahref="http://homes.esat.kuleuven.be/%7Etuytelaa/tuytelaars_al-nbnn_kernel-iccv11.pdf">"The
NBNN kernel"</a>, International Conference on Computer Vision
(ICCV), 2011. </p>

<p> B. Kulis, K. Saenko, and T. Darrell,
<ahref="cvpr_adapt.pdf">What You Saw is Not What You Get: Domain Adaptation Using Asymmetric Kernel Transforms</a>
In Proc. IEEE Conference on Computer Vision and Pattern Recognition
(CVPR), 2011.
<spanstyle="color: maroon;">Oral Presentation: 3.5% Acceptance Rate.</span></p>

<p>T. Owens, K. Saenko, A. Chakrabarti, Y. Xiong, T. Zickler, and T. Darrell,
<ahref="mvccCVPR2011final.pdf">"Learning Object Color Models from Multi-view Constraints"</a>, In CVPR 2011.
</p>

<p> Owens, Trevor; Saenko, Kate; Chakrabarti, Ayan; Xiong, Ying; Zickler, Todd; Darrell, Trevor; <ahref=> The ratio method for multi-view color constancy </a>,UC Berkeley Tech. Report, 2011	</p>

<p> Xiong, Ying; Saenko, Kate; Zickler, Todd; Darrell, Trevor; <ahref=> Modeling the Uncertainty in Inverse Radiometric Calibration </a>, 2011 </p>


<h3>2010</h3>

<p>M. Fritz, K. Saenko, T. Darrell, <ahref="./fritz_nips_2010.pdf">
"Size Matters: Metric Visual Search Constraints from Monocular Metadata"</a>
In Proc. NIPS, December 2010, Vancouver, Canada.</p>

<p>K. Saenko, B. Kulis, M. Fritz and T. Darrell, <ahref="./saenko_eccv_2010.pdf">
"Adapting Visual Category Models to New Domains"</a>
In Proc. ECCV, September 2010, <st1:cityw:st="on">Heraklion, Greece.
[<ahref="projects.html#DA">project page</a>]</p>

<p> Saenko, Kate; Kulis, Brian; Fritz, Mario; Darrell, Trevor; <ahref=> Visual domain adaptation using regularized cross-domain transforms </a>,Technical Report UCB/EECS-2010-106, EECS Department, University of California, Berkeley, 2010	</p>

<p> Saenko, Kate; Kulis, Brian; Fritz, Mario; Darrell, Trevor; <ahref=> Transferring visual category models to new domains </a>,Technical Report UCB/EECS-2010-54, EECS Department, University of California, Berkeley, 2010	</p>


<h3>2009</h3>

<p>K. Saenko, "Image Sense Disambiguation: A Multimodal Approach." Doctoral Thesis,
Massachusetts Institute of Technology.
August 2009. [<ahref="./saenko_phd_thesis.pdf">pdf</a>]
[<ahref="./saenko_thesis_defense.ppt">slides</a>]</p>

<p>K. Saenko and T. Darrell, <ahref="./saenko_nips_2009.pdf">
"Filtering Abstract Senses From Image Search Results" </a>In Proc. NIPS, December 2009,Vancouver,Canada.
</p>

<p>K. Saenko, K. Livescu, J. Glass, and T. Darrell, <ahref="./saenko_livescu_pami_08.pdf">
"Multistream Articulatory Feature-Based Models for Visual Speech Recognition"</a>.
In IEEE Transactions on Pattern Analysis and Machine Intelligence, 2009.</p>


<h3>2008 (and earlier)</h3>

<p>K. Saenko and T. Darrell, <ahref="./saenko_nips08.pdf">
"Unsupervised Learning of Visual Sense Models for Polysemous Words"</a>.
Proc. NIPS, December 2008, Vancouver, Canada.
</p>

<p>M. Hasegawa, K. Livescu, P. Lal, and K.
Saenko, <ahref="http://groups.csail.mit.edu/sls/publications/2007/1719.pdf">"Audiovisual Speech Recognition with Articulator Positions as Hidden Variables."</a>
Proc. International Congress of Phonetic Sciences, August 2007, Saarbruecken,Germany.
</p>

<p>K. Saenko and T. Darrell, <ahref="./saenko_mlmi_07.pdf">"Object Category Recognition Using Probabilistic Fusion of Speech and Image Classifiers"</a>. Proc. Machine Learning for Multimodal Interaction (MLMI), June
2007, Brno, Czech Republic.
</p>

<p> Saenko, Kate; Darrell, Trevor; <ahref=> Towards adaptive object recognition for situated human-computer interaction, </a>	Proceedings of the 2007 workshop on Multimodal interfaces in semantic interaction, ACM, 2007	</p>

<p>Karen Livescu, Ozgur Cetin, Mark Hasegawa-Johnson, Simon King, Chris Bartels, Nash Borges, Arthur
Kantor, Partha Lal, Lisa Yung, Ari Bezman, Stephen Dawson-Haggerty, Bronwyn Woods, Joe
Frankel, Matthew Magimai-Doss, and Kate Saenko, <ahref="./livescu07icassp.pdf">"Articulatory
Feature-Based Methods for Acoustic and Audio-Visual Speech Recognition:
Summary from the 2006 JHU Summer Workshop"</a>. ICASSP, May 2007. </p>

<p>K. Saenko and K. Livescu, <ahref="./saenko_livescu_slt_06.pdf">"An
Asynchronous DBN for Audio-Visual Speech Recognition"</a>. In Proc. IEEE 2006 Workshop on Spoken Language
Technology (SLT), December 2006, Palm Beach, Aruba.</p>

<p>C. Christoudias, K. Saenko, L.-P. Morency and T. Darrell, <ahref="./christoudias_saenko_icmi_06.pdf">
"Co-Adaptation of Audio-Visual Speech and Gesture Classifiers"</a>.
Proc. ICMI, November 2006,
Banff, Canada. <spanstyle="color: maroon;">Best Paper Award</span>. </p>

<p> Saenko, Kate; Livescu, Karen; <ahref=> An asynchronous DBN for audio-visual speech recognition </a>, Spoken Language Technology Workshop, 2006. IEEE, IEEE, 2006	</p>

<p>K. Saenko, K. Livescu, M. Siracusa, K. Wilson, J. Glass, and T. Darrell, <ahref="./saenko_iccv_05.pdf">
"Visual Speech Recognition with Loosely Synchronized Feature Streams"</a>.
Proc. ICCV, October 2005, Beijing.</p>

<p>K. Saenko, K. Livescu, J. Glass, and
T. Darrell, <ahref="./saenko_livescu_icassp_05.pdf">
"Production Domain Modeling of Pronunciation for Visual Speech Recognition"</a>.
Proc. ICASSP, March 2005, Philadelphia.
</p>

<p>K. Saenko, T. Darrell, and J. Glass, <ahref="./saenko_icmi_04.pdf">"Articulatory Features for Robust Visual Speech Recognition"</a>. Proc. ICMI,
pp.152-158, October 2004, State College, PA.
</p>

<p>T. Hazen, K, Saenko, C. La, and J. Glass, <ahref="./hazen_saenko_icmi_04.pdf">
"A Segment-based Audio-Visual Speech Recognizer: Data Collection, Development, and Initial Experiments" </a>.
Proc. ICMI, pp. 235-242, October 2004, State College, PA.
</p>


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