---
title: "Kate Saenko — all works — Elamur Research"
description: "All 98 works of Kate Saenko in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/kate-saenko/works/"
---
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# Kate Saenko — all works

98 works · [← Kate Saenko](https://md.research.elamur.ai/free/en/authors/kate-saenko/)

1. **[Adversarial Discriminative Domain Adaptation ↗](https://doi.org/10.1109/cvpr.2017.316) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Eric Tzeng et al.*2017 · 4,938 citations*
2. **[Adapting Visual Category Models to New Domains ↗](https://doi.org/10.1007/978-3-642-15561-1_16) Lecture notes in computer science · no summary yet**Kate Saenko et al.*2010 · 2,751 citations*
3. **[Deep Domain Confusion: Maximizing for Domain Invariance ↗](https://arxiv.org/abs/1412.3474) arXiv (Cornell University) · no summary yet**Eric Tzeng et al.*2014 · 2,210 citations*
4. **[Return of Frustratingly Easy Domain Adaptation ↗](https://doi.org/10.1609/aaai.v30i1.10306) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Baochen Sun, Jiashi Feng, Kate Saenko*2016 · 1,932 citations*
5. **[Moment Matching for Multi-Source Domain Adaptation ↗](https://doi.org/10.1109/iccv.2019.00149) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Xingchao Peng et al.*2019 · 1,665 citations*
6. **[Sequence to Sequence — Video to Text ↗](https://doi.org/10.1109/iccv.2015.515) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Subhashini Venugopalan et al.*2015 · 1,441 citations*
7. **[Simultaneous Deep Transfer Across Domains and Tasks ↗](https://doi.org/10.1109/iccv.2015.463) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Eric Tzeng et al.*2015 · 1,152 citations*
8. **[Strong-Weak Distribution Alignment for Adaptive Object Detection ↗](https://doi.org/10.1109/cvpr.2019.00712) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Kuniaki Saito et al.*2019 · 791 citations*
9. **[What you saw is not what you get: Domain adaptation using asymmetric kernel transforms ↗](https://doi.org/10.1109/cvpr.2011.5995702) no summary yet**Brian Kulis, Kate Saenko, Trevor Jackson Darrell*2011 · 708 citations*
10. **[Semi-Supervised Domain Adaptation via Minimax Entropy ↗](https://doi.org/10.1109/iccv.2019.00814) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Kuniaki Saito et al.*2019 · 697 citations*
11. **[CyCADA: Cycle-Consistent Adversarial Domain Adaptation ↗](https://arxiv.org/abs/1711.03213) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2017 · 680 citations*
12. **[Object Hallucination in Image Captioning](https://md.research.elamur.ai/free/en/papers/rohrbach-2018-object-hallucination-image-captioning/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Anna Rohrbach, Lisa Anne Hendricks, Kaylee Burns, et al.*2018 · 626 citations*
13. **[Learning to Reason: End-to-End Module Networks for Visual Question Answering ↗](https://arxiv.org/abs/1704.05526) arXiv:1704.05526 · no summary yet**Ronghang Hu et al.*2017 · 621 citations*
14. **[Natural Language Object Retrieval ↗](https://doi.org/10.1109/cvpr.2016.493) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ronghang Hu et al.*2016 · 587 citations*
15. **[YouTube2Text: Recognizing and Describing Arbitrary Activities Using Semantic Hierarchies and Zero-Shot Recognition ↗](https://doi.org/10.1109/iccv.2013.337) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Sergio Guadarrama et al.*2013 · 541 citations*
16. **[Women Also Snowboard: Overcoming Bias in Captioning Models ↗](https://doi.org/10.1007/978-3-030-01219-9_47) Lecture notes in computer science · no summary yet**Lisa Anne Hendricks et al.*2018 · 474 citations*
17. **[Modeling Relationships in Referential Expressions with Compositional Modular Networks ↗](https://doi.org/10.1109/cvpr.2017.470) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ronghang Hu et al.*2017 · 415 citations*
18. **[Speaker-Follower Models for Vision-and-Language Navigation ↗](https://arxiv.org/abs/1806.02724) arXiv:1806.02724 · no summary yet**Daniel Fried et al.*2018 · 343 citations*
19. **[Multilevel Language and Vision Integration for Text-to-Clip Retrieval ↗](https://doi.org/10.1609/aaai.v33i01.33019062) Proceedings of the AAAI Conference on Artificial Intelligence · no summary yet**Huijuan Xu et al.*2019 · 329 citations*
20. **[Deep Compositional Captioning: Describing Novel Object Categories without Paired Training Data ↗](https://doi.org/10.1109/cvpr.2016.8) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Lisa Anne Hendricks et al.*2016 · 313 citations*
21. **[A Category-Level 3D Object Dataset: Putting the Kinect to Work ↗](https://doi.org/10.1007/978-1-4471-4640-7_8) Advances in computer vision and pattern recognition · no summary yet**Allison Janoch et al.*2012 · 258 citations*
22. **[Simultaneous Deep Transfer Across Domains and Tasks ↗](https://doi.org/10.1007/978-3-319-58347-1_9) Advances in computer vision and pattern recognition · no summary yet**Judy Hoffman et al.*2017 · 254 citations*
23. **[A category-level 3-D object dataset: Putting the Kinect to work ↗](https://doi.org/10.1109/iccvw.2011.6130382) IEEE International Conference on Computer Vision Workshops · no summary yet**Allison Janoch et al.*2011 · 253 citations*
24. [**Long-term Recurrent Convolutional Networks for Visual Recognition and Description arXiv:1411.4389**Jeff Donahue, Lisa Anne Hendricks, Marcus Rohrbach, et al.*2014 · 245 citations*](https://md.research.elamur.ai/free/en/papers/donahue-2014-long-term-recurrent-convolutional-networks/)
25. **[Captioning Images with Diverse Objects ↗](https://doi.org/10.1109/cvpr.2017.130) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Subhashini Venugopalan et al.*2017 · 194 citations*
26. **[Semi-supervised Domain Adaptation with Instance Constraints ↗](https://doi.org/10.1109/cvpr.2013.92) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Jeff Donahue et al.*2013 · 190 citations*
27. **[LSDA: Large Scale Detection Through Adaptation ↗](https://arxiv.org/abs/1407.5035) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2014 · 185 citations*
28. **[Language-Conditioned Graph Networks for Relational Reasoning ↗](https://doi.org/10.1109/iccv.2019.01039) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Ronghang Hu et al.*2019 · 177 citations*
29. **[Discovering Latent Domains for Multisource Domain Adaptation ↗](https://doi.org/10.1007/978-3-642-33709-3_50) Lecture notes in computer science · no summary yet**Judy Hoffman et al.*2012 · 174 citations*
30. **[Efficient Learning of Domain-invariant Image Representations ↗](https://arxiv.org/abs/1301.3224) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2013 · 153 citations*
31. **[Improving LSTM-based Video Description with Linguistic Knowledge Mined from Text ↗](https://aclanthology.org/D16-1204/) Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing · no summary yet**Subhashini Venugopalan et al.*2016 · 143 citations*
32. **[Top-Down Visual Saliency Guided by Captions ↗](https://doi.org/10.1109/cvpr.2017.334) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Vasili Ramanishka et al.*2017 · 142 citations*
33. **[Multimodal Video Description ↗](https://doi.org/10.1145/2964284.2984066) ACM International Conference on Multimedia (ACM MM) · no summary yet**Vasili Ramanishka et al.*2016 · 140 citations*
34. **[Continuous Manifold Based Adaptation for Evolving Visual Domains ↗](https://doi.org/10.1109/cvpr.2014.116) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Judy Hoffman, Trevor Jackson Darrell, Kate Saenko*2014 · 135 citations*
35. **[Adapting Deep Visuomotor Representations with Weak Pairwise Constraints ↗](https://doi.org/10.1007/978-3-030-43089-4_44) Springer proceedings in advanced robotics · no summary yet**Eric Tzeng et al.*2015 · 124 citations*
36. **[The NBNN kernel ↗](https://doi.org/10.1109/iccv.2011.6126449) International Conference on Computer Vision · no summary yet**Tinne Tuytelaars et al.*2011 · 100 citations*
37. **[Visual speech recognition with loosely synchronized feature streams ↗](https://doi.org/10.1109/iccv.2005.251) no summary yet**Kate Saenko et al.*2005 · 95 citations*
38. **[Are You Looking? Grounding to Multiple Modalities in Vision-and-Language Navigation ↗](https://aclanthology.org/P19-1655/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Ronghang Hu et al.*2019 · 94 citations*
39. **[Open-vocabulary Object Retrieval ↗](https://doi.org/10.15607/rss.2014.x.041) no summary yet**Sergio Guadarrama et al.*2014 · 81 citations*
40. **[Detector discovery in the wild: Joint multiple instance and representation learning ↗](https://doi.org/10.1109/cvpr.2015.7298906) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Judy Hoffman et al.*2015 · 78 citations*
41. **[Detecting Cross-Modal Inconsistency to Defend Against Neural Fake News ↗](https://aclanthology.org/2020.emnlp-main.163/) Proceedings of the 2020 Conference on Empirical Methods in Natural Language Processing (EMNLP) · no summary yet**Reuben Tan, Bryan Plummer, Kate Saenko*2020 · 75 citations*
42. **[ZeroWaste Dataset: Towards Deformable Object Segmentation in Cluttered Scenes ↗](https://doi.org/10.1109/cvpr52688.2022.02047) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Dina Bashkirova et al.*2022 · 73 citations*
43. **[One-Shot Adaptation of Supervised Deep Convolutional Models ↗](https://arxiv.org/abs/1312.6204) arXiv (Cornell University) · no summary yet**Judy Hoffman et al.*2013 · 67 citations*
44. **[Learning Cross-Modal Contrastive Features for Video Domain Adaptation ↗](https://doi.org/10.1109/iccv48922.2021.01336) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Donghyun Kim et al.*2021 · 66 citations*
45. **[AdaMML: Adaptive Multi-Modal Learning for Efficient Video Recognition ↗](https://doi.org/10.1109/iccv48922.2021.00748) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Rameswar Panda et al.*2021 · 60 citations*
46. **[Unsupervised Learning of Visual Sense Models for Polysemous Words ↗](https://openalex.org/W2154744205) no summary yet**Kate Saenko, Trevor Jackson Darrell*2008 · 55 citations*
47. **[Learning to Detect Every Thing in an Open World ↗](https://doi.org/10.1007/978-3-031-20053-3_16) Lecture notes in computer science · no summary yet**Kuniaki Saito et al.*2022 · 47 citations*
48. **[Articulatory features for robust visual speech recognition ↗](https://doi.org/10.1145/1027933.1027960) International Conference on Multimodal Interfaces · no summary yet**Kate Saenko, Trevor Jackson Darrell, James Glass*2004 · 44 citations*
49. **[Modeling Radiometric Uncertainty for Vision with Tone-Mapped Color Images ↗](https://doi.org/10.1109/tpami.2014.2318713) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Ayan Chakrabarti et al.*2014 · 43 citations*
50. **[Tune it the Right Way: Unsupervised Validation of Domain Adaptation via Soft Neighborhood Density ↗](https://doi.org/10.1109/iccv48922.2021.00905) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Kuniaki Saito et al.*2021 · 36 citations*
51. **[From pixels to physics: Probabilistic color de-rendering ↗](https://doi.org/10.1109/cvpr.2012.6247696) IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · no summary yet**Ying Xiong et al.*2012 · 35 citations*
52. **[Co-Adaptation of audio-visual speech and gesture classifiers ↗](https://doi.org/10.1145/1180995.1181013) International Conference on Multimodal Interfaces · no summary yet**C. Mario Christoudias et al.*2006 · 32 citations*
53. **[Multistream Articulatory Feature-Based Models for Visual Speech Recognition ↗](https://doi.org/10.1109/tpami.2008.303) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Kate Saenko et al.*2008 · 29 citations*
54. **[Production Domain Modeling of Pronunciation for Visual Speech Recognition ↗](https://doi.org/10.1109/icassp.2005.1416343) IEEE International Conference on Acoustics Speech and Signal Processing · no summary yet**Kate Saenko et al.*2005 · 24 citations*
55. **[Cola: A Benchmark for Compositional Text-to-image Retrieval ↗](https://doi.org/10.52202/075280-2014) neural information processing systems · no summary yet**Arijit Ray et al.*2023 · 21 citations*
56. **[Spatial Semantic Regularisation for Large Scale Object Detection ↗](https://doi.org/10.1109/iccv.2015.232) IEEE International Conference on Computer Vision (ICCV) · no summary yet**Damian Mrowca et al.*2015 · 19 citations*
57. **[Extending the WILDS Benchmark for Unsupervised Adaptation ↗](https://arxiv.org/abs/2112.05090) arXiv (Cornell University) · no summary yet**Shiori Sagawa et al.*2021 · 18 citations*
58. **[Practical 3-D Object detection using category and instance-level appearance models ↗](https://doi.org/10.1109/iros.2011.6095000) IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS) · no summary yet**Kate Saenko et al.*2011 · 17 citations*
59. **[Auxiliary Task Reweighting for Minimum-data Learning ↗](https://arxiv.org/abs/2010.08244) arXiv (Cornell University) · no summary yet**Baifeng Shi et al.*2020 · 16 citations*
60. **[SAT: Dynamic Spatial Aptitude Training for Multimodal Language Models ↗](https://arxiv.org/abs/2412.07755) arXiv (Cornell University) · no summary yet**Arijit Ray et al.*2024 · 15 citations*
61. **[Temporal Action Detection with Multi-level Supervision ↗](https://doi.org/10.1109/iccv48922.2021.00792) IEEE/CVF International Conference on Computer Vision (ICCV) · no summary yet**Baifeng Shi et al.*2021 · 15 citations*
62. **[Interactive adaptation of real-time object detectors ↗](https://doi.org/10.1109/icra.2014.6907018) Proceedings - IEEE International Conference on Robotics and Automation/Proceedings · no summary yet**Daniel Goehring et al.*2014 · 15 citations*
63. **[Learning object color models from multi-view constraints ↗](https://doi.org/10.1109/cvpr.2011.5995705) no summary yet**T. Ryan Owens et al.*2011 · 15 citations*
64. **[Mid-level Features Improve Recognition of Interactive Activities ↗](https://doi.org/10.21236/ada570728) no summary yet**Kate Saenko et al.*2012 · 11 citations*
65. **[Filtering Abstract Senses From Image Search Results ↗](https://openalex.org/W2154485288) no summary yet**Kate Saenko, Trevor Jackson Darrell*2009 · 11 citations*
66. **[Object Category Recognition Using Probabilistic Fusion of Speech and Image Classifiers ↗](https://doi.org/10.1007/978-3-540-78155-4_4) Springer eBooks · no summary yet**Kate Saenko, Trevor Jackson Darrell*2008 · 11 citations*
67. **[SPLAT: Semantic Pixel-Level Adaptation Transforms for Detection ↗](https://arxiv.org/abs/1812.00929) arXiv (Cornell University) · no summary yet**Eric Tzeng et al.*2018 · 10 citations*
68. **[Similarity R-C3D for Few-shot Temporal Activity Detection ↗](https://arxiv.org/abs/1812.10000) arXiv (Cornell University) · no summary yet**Huijuan Xu et al.*2018 · 9 citations*
69. **[Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations ↗](https://arxiv.org/abs/1308.4200) arXiv (Cornell University) · no summary yet**Erik Rodner et al.*2013 · 9 citations*
70. **[Understanding object descriptions in robotics by open-vocabulary object retrieval and detection ↗](https://doi.org/10.1177/0278364915602059) The International Journal of Robotics Research · no summary yet**Sergio Guadarrama et al.*2015 · 8 citations*
71. **[Revisiting Few-shot Activity Detection with Class Similarity Control ↗](https://arxiv.org/abs/2004.00137) arXiv (Cornell University) · no summary yet**Huijuan Xu et al.*2020 · 7 citations*
72. **[Spatio-Temporal Action Detection with Multi-Object Interaction ↗](https://arxiv.org/abs/2004.00180) arXiv (Cornell University) · no summary yet**Huijuan Xu et al.*2020 · 7 citations*
73. **[Adversarial Discriminative Domain Adaptation (workshop extended abstract). ↗](https://openalex.org/W2902589289) International Conference on Learning Representations · no summary yet**Eric Tzeng et al.*2017 · 7 citations*
74. **[Lasagna: Layered Score Distillation for Disentangled Object Relighting ↗](https://arxiv.org/abs/2312.00833) arXiv (Cornell University) · no summary yet**Dina Bashkirova et al.*2023 · 5 citations*
75. **[Towards adaptive object recognition for situated human-computer interaction ↗](https://doi.org/10.1145/1330572.1330579) no summary yet**Kate Saenko, Trevor Jackson Darrell*2007 · 5 citations*
76. **[Transferring Visual Category Models to New Domains ↗](https://openalex.org/W2288805679) UC Berkeley · no summary yet**Kate Saenko et al.*2010 · 4 citations*
77. **[Explaining Reinforcement Learning Policies through Counterfactual Trajectories ↗](https://arxiv.org/abs/2201.12462) arXiv (Cornell University) · no summary yet**Julius Frost et al.*2022 · 3 citations*
78. **[Women also Snowboard: Overcoming Bias in Captioning Models (Extended Abstract) ↗](https://arxiv.org/abs/1807.00517) arXiv (Cornell University) · no summary yet**Lisa Anne Hendricks et al.*2018 · 3 citations*
79. **[Mull-Tokens: Modality-Agnostic Latent Thinking ↗](https://arxiv.org/abs/2512.10941) arXiv (Cornell University) · no summary yet**Arijit Ray et al.*2025 · 2 citations*
80. **[From Large-Scale Object Classifiers to Large-Scale Object Detectors: An Adaptation Approach ↗](https://openalex.org/W2188721014) no summary yet**Judy Hoffman et al.*2014 · 2 citations*
81. **[Visual Domain Adaptation Using Regularized Cross- Domain Transforms ↗](https://openalex.org/W2740676663) UC Berkeley · no summary yet**Kate Saenko et al.*2010 · 2 citations*
82. **[The Ratio Method for Multi-view Color Constancy ↗](https://openalex.org/W2605363218) UC Berkeley · no summary yet**T. Ryan Owens et al.*2011 · 1 citation*
83. **[視覚認識と記述のための長期再発畳込みネットワーク【Powered by NICT】 ↗](https://openalex.org/W2743231212) IEEE Transactions on Pattern Analysis and Machine Intelligence · no summary yet**Jeff Donahue et al.*2017*
84. **[深部組成キャプション付け:対訓練データを用いない新しい記述オブジェクトカテゴリー【Powered by NICT】 ↗](https://openalex.org/W2749962028) IEEE Conference Proceedings · no summary yet**Lisa Anne Hendricks et al.*2016*
85. **[Models for Visual Speech Recognition ↗](https://openalex.org/W7098163960) no summary yet**Kate Saenko et al.*2016*
86. **[Max-margin transforms for visual domain adaptation ↗](https://openalex.org/W7098459085) no summary yet**Judy Hoffman et al.*2015*
87. **[Scalable Transform-based Domain Adaptation ↗](https://openalex.org/W7097269457) no summary yet**Erik Rodner et al.*2015*
88. **[Transform-based Domain Adaptation for Big Data ↗](https://openalex.org/W7098858061) no summary yet**Erik Rodner et al.*2015*
89. **[PROBLEM ADAPTATION METHODS DA WITH CORRESPONDENCES DETECTION ↗](https://openalex.org/W7096198371) no summary yet**Jeff Donahue et al.*2014*
90. **[K.: LSDA: Large scale detection through adaptation ↗](https://openalex.org/W7097728844) no summary yet**Judy Hoffman et al.*2014*
91. **[Image Domain Adaptation Using Metric Learning ↗](https://openalex.org/W7097633412) no summary yet**Kate Saenko et al.*2014*
92. **[One-shot adaptation of supervised deep convolutional models. arXiv ↗](https://openalex.org/W7099927271) no summary yet**Judy Hoffman et al.*2013*
93. **[permission. Towards Adapting ImageNet to Reality: Scalable Domain Adaptation with Implicit Low-rank Transformations ↗](https://openalex.org/W7101108518) no summary yet**Erik Rodner et al.*2013*
94. **[T.: The nbnn kernel ↗](https://openalex.org/W7095146118) no summary yet**T. Tuytelaars et al.*2013*
95. **[permission. The Ratio Method for Multi-view Color Constancy ↗](https://openalex.org/W7099958298) no summary yet**Trevor Owens et al.*2011*
96. **[permission. Transferring Visual Category Models to New Domains ↗](https://openalex.org/W7097846516) no summary yet**Kate Saenko et al.*2010*
97. **[permission. Visual Domain Adaptation Using Regularized Cross-Domain Transforms ↗](https://openalex.org/W7098619106) no summary yet**Kate Saenko et al.*2010*
98. **[T.: Adapting visual category models to new domains. In: ECCV ↗](https://openalex.org/W7096025338) no summary yet**Kate Saenko et al.*2010*