Kate Saenko

Cited by

	All	Since 2018
Citations	53942	46695
h-index	79	74
i10-index	178	163

11000

5500

2750

8250

201220132014201520162017201820192020202120222023186 314 481 848 1703 2743 4134 5841 7427 9209 9928 10081

Public access

View all

87 articles

1 article

available

not available

Based on funding mandates

Co-authors

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
Subhashini VenugopalanUniversity of Texas at AustinVerified email at cs.utexas.edu
Stan SclaroffDean of Arts & Sciences, Professor of Computer Science, Boston UniversityVerified email at bu.edu
Marcus RohrbachProfessor for Multimodal Reliable AI, TU Darmstadt, GermanyVerified email at tu-darmstadt.de
XingChao PengMicrosoft CorporationVerified email at microsoft.com
Bryan A. PlummerAssistant Professor, Boston UniversityVerified email at bu.edu
Kuniaki SaitoBoston UniversityVerified email at bu.edu
Huijuan XuAssistant Professor, CSE Dept., Pennsylvania State UniversityVerified email at psu.edu
Baochen SunX, the Moonshot Factory (formerly Google X)Verified email at google.com
Rogerio FerisResearch Manager, MIT-IBM Watson AI LabVerified email at us.ibm.com
Lisa Anne M HendricksDeepMindVerified email at google.com
Sergio GuadarramaStaff SWE at Google BrainVerified 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
Brian KulisAssociate Professor at Boston University & Amazon ScholarVerified email at bu.edu
Ben UsmanGoogle ResearchVerified email at google.com
Robert PlattAssociate Professor, Computer and Information Science, Northeastern UniversityVerified email at ccs.neu.edu

Kate Saenko

Boston University

Verified email at bu.edu - Homepage

Computer Vision Machine Learning Artificial Intelligence Domain Adaptation Vision and Language


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	7314	2015
Adversarial discriminative domain adaptation E Tzeng, J Hoffman, K Saenko, T Darrell Computer Vision and Pattern Recognition (CVPR), 2017	4852	2017
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	3057	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	3012	2018
Deep domain confusion: Maximizing for domain invariance E Tzeng, J Hoffman, N Zhang, K Saenko, T Darrell arXiv preprint arXiv:1412.3474, 2014	2762	2014
Deep coral: Correlation alignment for deep domain adaptation B Sun, K Saenko Computer Vision–ECCV 2016 Workshops: Amsterdam, The Netherlands, October 8 …, 2016	2761	2016
Return of Frustratingly Easy Domain Adaptation B Sun, J Feng, K Saenko AAAI, 2016	1827	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	1646	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	1439	2015
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	1371	2019
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	1152	2014
Rise: Randomized input sampling for explanation of black-box models V Petsiuk, A Das, K Saenko arXiv preprint arXiv:1806.07421, 2018	948	2018
Ask, Attend and Answer: Exploring Question-Guided Spatial Attention for Visual Question Answering H Xu, K Saenko European Conference on Computer Vision (ECCV), 2016	887	2016
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	860	2011
R-C3D: Region convolutional 3d network for temporal activity detection H Xu, A Das, K Saenko International Conference on Computer Vision (ICCV), 2017	810	2017
Visda: The visual domain adaptation challenge X Peng, B Usman, N Kaushik, J Hoffman, D Wang, K Saenko arXiv preprint arXiv:1710.06924, 2017	670	2017
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	634	2017
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	601	2019
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	593	2016
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	581	2013

The system can't perform the operation now. Try again later.

Articles 1–20

Citations per year

Duplicate citations

Merged citations

Add co-authorsCo-authors

Follow

Cited by

Co-authors