Judy Hoffman
Impact in
-
- Multimodal Machine Learning Applications
- Advanced Neural Network Applications
- Advanced Image and Video Retrieval Techniques
- Human Pose and Action Recognition
- Video Surveillance and Tracking Methods
- Artificial Intelligence top 0.1%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
Papers in
-
- Multimodal Machine Learning Applications 13
- Advanced Neural Network Applications 12
- Advanced Image and Video Retrieval Techniques 12
- Human Pose and Action Recognition 5
-
- Domain Adaptation and Few-Shot Learning 27
- Adversarial Robustness in Machine Learning 6
- Anomaly Detection Techniques and Applications 3
- Machine Learning and ELM 2
- Co-authors
- Trevor Darrell (18 shared papers)Eric Tzeng (10 shared papers)Kate Saenko (17 shared papers)Jeff Donahue (7 shared papers)Yangqing Jia (2 shared papers)Ning Zhang (1 shared paper)Oriol Vinyals (1 shared paper)Saurabh Gupta (4 shared papers)
- Journals
- Atmospheric measurement techniques (1 paper)International Journal of Computer Vision (1 paper)Annals of Mathematics and Artificial Intelligence (2 papers)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)
- Partner nations
- United StatesSpainGermany
In The Last Decade
Judy Hoffman
46 papers receiving 7.2k citations
Judy Hoffman's Hit Papers
Peers
Comparison fields: 5 of 161
- Computer Vision and Pattern Recognition 4.7k
- Artificial Intelligence 4.5k
- Media Technology 514
- Signal Processing 378
- Radiology, Nuclear Medicine and Imaging 694
Countries citing papers authored by Judy Hoffman
This map shows the geographic impact of Judy Hoffman'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 Judy Hoffman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Judy Hoffman more than expected).
Fields of papers citing papers by Judy Hoffman
This network shows the impact of papers produced by Judy Hoffman. 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 Judy Hoffman. The network helps show where Judy Hoffman may publish in the future.
Co-authors
The 25 scholars most cited alongside Judy Hoffman, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
Showing the 20 most-cited of 50 papers — load more, or switch the sort, to bring in the rest.
| # | Work | ||
|---|---|---|---|
| 1 | Adversarial Discriminative Domain Adaptation Hit paper breakdown → | 2017 | 3024 |
| 2 | DeCAF: A Deep Convolutional Activation Feature for Generic Visual Recognition Hit paper breakdown → | 2013 | 2089 |
| 3 | Simultaneous Deep Transfer Across Domains and Tasks Hit paper breakdown → | 2015 | 698 |
| 4 | Cross Modal Distillation for Supervision Transfer Hit paper breakdown → | 2016 | 294 |
| 5 | 2016 | 128 | |
| 6 | 2014 | 126 | |
| 7 | 2018 | 118 | |
| 8 | 2013 | 115 | |
| 9 | 2018 | 104 | |
| 10 | 2013 | 104 | |
| 11 | 2020 | 91 | |
| 12 | 2014 | 85 | |
| 13 | 2014 | 74 | |
| 14 | Label efficient learning of transferable representations across domains and tasks | 2017 | 64 |
| 15 | 2016 | 45 | |
| 16 | 2015 | 44 | |
| 17 | 2023 | 42 | |
| 18 | Adapting to Continuously Shifting Domains | 2018 | 32 |
| 19 | 2016 | 32 | |
| 20 | 2011 | 31 |
About Judy Hoffman
Judy Hoffman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Aerospace Engineering, Civil and Structural Engineering and Computational Mechanics, having authored 50 papers that have together received 7.5k indexed citations. Recurring topics across this work include Domain Adaptation and Few-Shot Learning (27 papers), Multimodal Machine Learning Applications (13 papers), Advanced Neural Network Applications (12 papers), Advanced Image and Video Retrieval Techniques (12 papers), Adversarial Robustness in Machine Learning (6 papers), Human Pose and Action Recognition (5 papers), Anomaly Detection Techniques and Applications (3 papers) and Machine Learning and ELM (2 papers). The work is most often cited by research in Computer Vision and Pattern Recognition (4.7k citations), Artificial Intelligence (4.5k citations), Media Technology (514 citations), Signal Processing (378 citations) and Radiology, Nuclear Medicine and Imaging (694 citations). Judy Hoffman has collaborated with scholars based in United States, Spain and Germany. Frequent co-authors include Trevor Darrell, Eric Tzeng, Kate Saenko, Jeff Donahue, Yangqing Jia, Ning Zhang, Oriol Vinyals, Saurabh Gupta, Jitendra Malik and Erik Rodner. Their work appears in journals such as Atmospheric measurement techniques, International Journal of Computer Vision, Annals of Mathematics and Artificial Intelligence, 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).
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.