Kate Saenko

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Trevor DarrellProfessor of Computer Science, U.C. BerkeleyVerified email at eecs.berkeley.edu
Judy HoffmanAssistant Professor, Georgia TechVerified email at gatech.edu
Eric TzengUC BerkeleyVerified email at eecs.berkeley.edu
Jeff DonahueResearch Scientist, DeepMindVerified email at google.com
Stan SclaroffDean of Arts & Sciences, Professor of Computer Science, Boston UniversityVerified email at bu.edu
Subhashini VenugopalanUniversity of Texas at AustinVerified email at cs.utexas.edu
XingChao PengMicrosoft CorporationVerified email at microsoft.com
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyVerified email at tu-darmstadt.de
Kuniaki SaitoBoston UniversityVerified email at bu.edu
Huijuan XuAssistant Professor, CSE Dept., Pennsylvania State UniversityVerified email at psu.edu
Rogerio FerisResearch Manager, MIT-IBM Watson AI LabVerified email at us.ibm.com
Baochen SunGoogle DeepMindVerified email at google.com
Lisa Anne M HendricksDeepMindVerified email at google.com
Sergio GuadarramaSenior Staff Research Engineer at Google DeepMindVerified email at google.com
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Donghyun KimKorea UniversityVerified email at bu.edu
Ben UsmanGoogle ResearchVerified email at google.com
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified email at bu.edu
Ximeng SunResearch Scientist, AMDVerified email at bu.edu
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de

Kate Saenko

Boston University

Verified email at bu.edu - Homepage

Computer Vision Machine Learning Artificial Intelligence Domain Adaptation Vision and Language


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Long-term recurrent convolutional networks for visual recognition and description J Donahue, L Anne Hendricks, S Guadarrama, M Rohrbach, ... Proceedings of the IEEE conference on computer vision and pattern …, 2015	7957	2015
Adversarial discriminative domain adaptation E Tzeng, J Hoffman, K Saenko, T Darrell Computer Vision and Pattern Recognition (CVPR), 2017	5768	2017
Deep coral: Correlation alignment for deep domain adaptation B Sun, K Saenko Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016	3617	2016
Cycada: Cycle-consistent adversarial domain adaptation J Hoffman, E Tzeng, T Park, JY Zhu, P Isola, K Saenko, AA Efros, T Darrell International Conference on Machine Learning 2018, 2018	3549	2018
Adapting visual category models to new domains K Saenko, B Kulis, M Fritz, T Darrell Computer Vision–ECCV 2010: 11th European Conference on Computer Vision …, 2010	3490	2010
Deep domain confusion: Maximizing for domain invariance E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell arXiv preprint arXiv:1412.3474, 2014	3304	2014
Return of Frustratingly Easy Domain Adaptation B Sun, J Feng, K Saenko AAAI, 2016	2190	2016
Moment matching for multi-source domain adaptation X Peng, Q Bai, X Xia, Z Huang, K Saenko, B Wang Proceedings of the IEEE/CVF international conference on computer vision …, 2019	2040	2019
Sequence to sequence-video to text S Venugopalan, M Rohrbach, J Donahue, R Mooney, T Darrell, K Saenko Proceedings of the IEEE international conference on computer vision, 4534-4542, 2015	1809	2015
Simultaneous deep transfer across domains and tasks E Tzeng, J Hoffman, T Darrell, K Saenko Proceedings of the IEEE international conference on computer vision, 4068-4076, 2015	1630	2015
Rise: Randomized Input Sampling for Explanation of black-box models V Petsiuk arXiv preprint arXiv:1806.07421, 2018	1353	2018
Translating videos to natural language using deep recurrent neural networks S Venugopalan, H Xu, J Donahue, M Rohrbach, R Mooney, K Saenko NAACL HLT 2015, 2014	1243	2014
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering H Xu, K Saenko European Conference on Computer Vision (ECCV), 2016	944	2016
R-C3D: Region convolutional 3d network for temporal activity detection H Xu, A Das, K Saenko International Conference on Computer Vision (ICCV), 2017	910	2017
What you saw is not what you get: Domain adaptation using asymmetric kernel transforms B Kulis, K Saenko, T Darrell CVPR 2011, 1785-1792, 2011	904	2011
Visda: The visual domain adaptation challenge X Peng, B Usman, N Kaushik, J Hoffman, D Wang, K Saenko arXiv preprint arXiv:1710.06924, 2017	884	2017
Strong-weak distribution alignment for adaptive object detection K Saito, Y Ushiku, T Harada, K Saenko Proceedings of the IEEE/CVF conference on computer vision and pattern …, 2019	786	2019
Semi-supervised domain adaptation via minimax entropy K Saito, D Kim, S Sclaroff, T Darrell, K Saenko Proceedings of the IEEE/CVF international conference on computer vision …, 2019	775	2019
Learning to reason: End-to-end module networks for visual question answering R Hu, J Andreas, M Rohrbach, T Darrell, K Saenko International Conference on Computer Vision (ICCV), 2017	715	2017
Natural language object retrieval R Hu, H Xu, M Rohrbach, J Feng, K Saenko, T Darrell Proceedings of the IEEE conference on computer vision and pattern …, 2016	650	2016

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