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
Jeff DonahueResearch Scientist, DeepMindVerified email at google.com
Subhashini VenugopalanUniversity of Texas at AustinVerified email at cs.utexas.edu
Eric TzengUC BerkeleyVerified email at eecs.berkeley.edu
Marcus RohrbachResearch Scientist, Facebook AI ResearchVerified email at fb.com
Huijuan XuAssistant Professor, CSE Dept., Pennsylvania State UniversityVerified email at psu.edu
Lisa Anne M HendricksDeepMindVerified email at google.com
XingChao PengMicrosoft CorporationVerified email at microsoft.com
Stan SclaroffDean of Arts & Sciences, Professor of Computer Science, Boston UniversityVerified email at bu.edu
Raymond MooneyProfessor of Computer Science, University of Texas at AustinVerified email at cs.utexas.edu
Baochen SunMicrosoft CorporationVerified email at microsoft.com
Sergio GuadarramaStaff SWE at Google BrainVerified email at google.com
Kuniaki SaitoBoston UniversityVerified email at bu.edu
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified email at bu.edu
Bryan A. PlummerAssistant Professor, Boston UniversityVerified email at bu.edu
Mario FritzFaculty CISPA Helmholtz Center for Information Security; Professor Saarland UniversityVerified email at cispa.de
Robert PlattAssociate Professor, Computer and Information Science, Northeastern UniversityVerified email at ccs.neu.edu
Ronghang HuResearch Scientist, Meta AIVerified email at fb.com
Abir DasAssistant Professor at IIT KharagpurVerified email at cse.iitkgp.ac.in

Kate Saenko

Boston University & MIT-IBM Watson AI Lab

Verified email at bu.edu - Homepage

Computer Vision Machine Learning Artificial Intelligence


Title Sort by citations Sort by year Sort by title	Cited by Cited by	Year
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	5996	2015
Adversarial discriminative domain adaptation E Tzeng, J Hoffman, K Saenko, T Darrell Computer Vision and Pattern Recognition (CVPR), 2017	3197	2017
Adapting visual category models to new domains K Saenko, B Kulis, M Fritz, T Darrell European conference on computer vision, 213-226, 2010	2241	2010
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	1924	2018
Deep domain confusion: Maximizing for domain invariance E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell arXiv preprint arXiv:1412.3474, 2014	1812	2014
Deep coral: Correlation alignment for deep domain adaptation B Sun, K Saenko European conference on computer vision, 443-450, 2016	1509	2016
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	1340	2015
Return of Frustratingly Easy Domain Adaptation B Sun, J Feng, K Saenko AAAI, 2016	1229	2016
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	1204	2015
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	953	2014
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	790	2011
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering H Xu, K Saenko European Conference on Computer Vision (ECCV), 2016	770	2016
R-C3D: Region convolutional 3d network for temporal activity detection H Xu, A Das, K Saenko International Conference on Computer Vision (ICCV), 2017	598	2017
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	544	2019
A category-level 3d object dataset: Putting the kinect to work A Janoch, S Karayev, Y Jia, JT Barron, M Fritz, K Saenko, T Darrell Consumer Depth Cameras for Computer Vision, 141-165, 2013	504	2013
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	491	2017
Youtube2text: Recognizing and describing arbitrary activities using semantic hierarchies and zero-shot recognition S Guadarrama, N Krishnamoorthy, G Malkarnenkar, S Venugopalan, ... Computer Vision (ICCV), 2013 IEEE International Conference on, 2712-2719, 2013	480	2013
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	475	2016
Rise: Randomized input sampling for explanation of black-box models V Petsiuk, A Das, K Saenko arXiv preprint arXiv:1806.07421, 2018	406	2018
Learning deep object detectors from 3d models X Peng, B Sun, K Ali, K Saenko Proceedings of the IEEE international conference on computer vision, 1278-1286, 2015	352	2015

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