Kate Saenko
- Computer Vision and Pattern Recognition top 0.02%
- Multimodal Machine Learning Applications 64
- Advanced Image and Video Retrieval Techniques 35
- Human Pose and Action Recognition 31
- Advanced Neural Network Applications 21
- Video Analysis and Summarization 9
- Image Retrieval and Classification Techniques 9
- Artificial Intelligence top 0.05%
- Domain Adaptation and Few-Shot Learning 59
- Human-Computer Interaction top 0.5%
- Signal Processing top 0.5%
- Speech and Audio Processing 10
- Media Technology top 0.5%
- Co-authors
- Trevor DarrellJudy HoffmanEric TzengMarcus RohrbachSubhashini VenugopalanSergio GuadarramaJeff DonahueLisa Anne Hendricks
- Journals
- IEEE Transactions on Pattern Analysis and Machine Intelligence (6 papers)IEEE Transactions on Image Processing (1 paper)IEEE Multimedia (1 paper)
- Partner nations
- United StatesGermanyCanada
In The Last Decade
Kate Saenko
133 papers receiving 16.2k citations
Hit Papers
Peers
Comparison fields: 5 of 186
- Computer Vision and Pattern Recognition 11.4k
- Artificial Intelligence 9.2k
- Human-Computer Interaction 646
- Signal Processing 999
- Media Technology 604
Countries citing papers authored by Kate Saenko
This map shows the geographic impact of Kate Saenko's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kate Saenko with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kate Saenko more than expected).
Fields of papers citing papers by Kate Saenko
This network shows the impact of papers produced by Kate Saenko. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kate Saenko. The network helps show where Kate Saenko may publish in the future.
Co-authorship network
The 25 scholars most cited alongside Kate Saenko, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2024 | 4 | |
| 2 | OpenMatch: Open-Set Semi-supervised Learning with Open-set Consistency Regularization | 2021 | 18 |
| 3 | Universal Domain Adaptation through Self Supervision | 2020 | 2 |
| 4 | Federated Adversarial Domain Adaptation | 2020 | 14 |
| 5 | Shapeshifter Networks: Decoupling Layers from Parameters for Scalable and Effective Deep Learning | 2020 | 1 |
| 6 | Uncertainty-Aware Learning for Zero-Shot Semantic Segmentation | 2020 | 30 |
| 7 | Are CNN Predictions based on Reasonable Evidence | 2019 | 1 |
| 8 | Generalized Domain Adaptation with Covariate and Label Shift CO-ALignment. | 2019 | 7 |
| 9 | AdaShare: Learning What To Share For Efficient Deep Multi-Task Learning | 2019 | 9 |
| 10 | Adversarial Self-Defense for Cycle-Consistent GANs | 2019 | 6 |
| 11 | Stable Distribution Alignment Using the Dual of the Adversarial Distance | 2018 | 1 |
| 12 | Text-to-Clip Video Retrieval with Early Fusion and Re-Captioning. | 2018 | 8 |
| 13 | A Two-Stream Variational Adversarial Network for Video Generation. | 2018 | 4 |
| 14 | Speaker-Follower Models for Vision-and-Language Navigation | 2018 | 61 |
| 15 | Hierarchical Actor-Critic. | 2017 | 18 |
| 16 | Learning a visuomotor controller for real world robotic grasping using simulated depth images | 2017 | 50 |
| 17 | 2014 | 74 | |
| 18 | Integrating Language and Vision to Generate Natural Language Descriptions of Videos in the Wild | 2014 | 107 |
| 19 | One-Shot Adaptation of Supervised Deep Convolutional Models | 2013 | 10 |
| 20 | Filtering Abstract Senses From Image Search Results | 2009 | 5 |
About Kate Saenko
Kate Saenko is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Signal Processing, having authored 134 papers that have together received 16.8k indexed citations. Recurring topics across this work include Multimodal Machine Learning Applications (64 papers), Domain Adaptation and Few-Shot Learning (59 papers), Advanced Image and Video Retrieval Techniques (35 papers), Human Pose and Action Recognition (31 papers), Advanced Neural Network Applications (21 papers), Speech and Audio Processing (10 papers), Video Analysis and Summarization (9 papers) and Image Retrieval and Classification Techniques (9 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (11.4k citations), Artificial Intelligence (9.2k citations) and Human-Computer Interaction (646 citations). Kate Saenko has collaborated with scholars based in United States, Germany and Canada. Frequent co-authors include Trevor Darrell, Judy Hoffman, Eric Tzeng, Marcus Rohrbach, Subhashini Venugopalan, Sergio Guadarrama, Jeff Donahue, Lisa Anne Hendricks, Baochen Sun and Jiashi Feng. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, IEEE Transactions on Image Processing, IEEE Multimedia, IEEE Robotics and Automation Letters and The International Journal of Robotics Research.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.