Ben Usman
Impact in
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- Multimodal Machine Learning Applications
- Generative Adversarial Networks and Image Synthesis
- Human Pose and Action Recognition
- Advanced Neural Network Applications
- Digital Media Forensic Detection
- Artificial Intelligence top 10%
- Domain Adaptation and Few-Shot Learning
- Machine Learning and ELM
Papers in
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- Generative Adversarial Networks and Image Synthesis 4
- Multimodal Machine Learning Applications 2
- Digital Media Forensic Detection 2
- Advanced Vision and Imaging 2
- Advanced Steganography and Watermarking Techniques 1
- Face recognition and analysis 1
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- Domain Adaptation and Few-Shot Learning 2
- Co-authors
- Kate Saenko (6 shared papers)Xingchao Peng (1 shared paper)Dequan Wang (1 shared paper)Judy Hoffman (1 shared paper)Avneesh Sud (3 shared papers)Andrea Tagliasacchi (1 shared paper)Thomas Leung (1 shared paper)George Cazenavette (1 shared paper)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) (1 paper)Neural Information Processing Systems (1 paper)International Conference on Learning Representations (1 paper)2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) (1 paper)
- Partner nations
- United StatesItalyCanada
In The Last Decade
Ben Usman
8 papers receiving 168 citations
Peers
Comparison fields: 5 of 34
- Computer Vision and Pattern Recognition 130
- Artificial Intelligence 104
- Radiology, Nuclear Medicine and Imaging 15
- Human-Computer Interaction 4
- Geology 4
Countries citing papers authored by Ben Usman
This map shows the geographic impact of Ben Usman'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 Ben Usman with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Ben Usman more than expected).
Fields of papers citing papers by Ben Usman
This network shows the impact of papers produced by Ben Usman. 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 Ben Usman. The network helps show where Ben Usman may publish in the future.
Co-authors
The 12 scholars most cited alongside Ben Usman, 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 | 2018 | 118 | |
| 2 | 2022 | 18 | |
| 3 | 2024 | 12 | |
| 4 | 2019 | 12 | |
| 5 | Adversarial Self-Defense for Cycle-Consistent GANs | 2019 | 6 |
| 6 | 2022 | 3 | |
| 7 | 2025 | 2 | |
| 8 | Stable Distribution Alignment Using the Dual of the Adversarial Distance | 2018 | 1 |
About Ben Usman
Ben Usman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Endocrinology, Diabetes and Metabolism, Environmental Engineering and Geology, having authored 8 papers that have together received 172 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (4 papers), Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers), Digital Media Forensic Detection (2 papers), Advanced Vision and Imaging (2 papers), Diabetic Foot Ulcer Assessment and Management (1 paper), Advanced Steganography and Watermarking Techniques (1 paper) and Face recognition and analysis (1 paper). The work is most often cited by research in Computer Vision and Pattern Recognition (130 citations), Artificial Intelligence (104 citations), Radiology, Nuclear Medicine and Imaging (15 citations), Human-Computer Interaction (4 citations) and Geology (4 citations). Ben Usman has collaborated with scholars based in United States, Italy and Canada. Frequent co-authors include Kate Saenko, Xingchao Peng, Dequan Wang, Judy Hoffman, Avneesh Sud, Andrea Tagliasacchi, Thomas Leung, George Cazenavette, Chris Bregler and Davide Cozzolino. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), Neural Information Processing Systems, International Conference on Learning Representations and 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV).
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.