Ben Usman

953 total citations
8 papers, 157 citations indexed

About

Ben Usman is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Endocrinology, Diabetes and Metabolism. According to data from OpenAlex, Ben Usman has authored 8 papers receiving a total of 157 indexed citations (citations by other indexed papers that have themselves been cited), including 6 papers in Computer Vision and Pattern Recognition, 3 papers in Artificial Intelligence and 1 paper in Endocrinology, Diabetes and Metabolism. Recurrent topics in Ben Usman's work include Generative Adversarial Networks and Image Synthesis (4 papers), Multimodal Machine Learning Applications (2 papers) and Digital Media Forensic Detection (2 papers). Ben Usman is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Multimodal Machine Learning Applications (2 papers) and Digital Media Forensic Detection (2 papers). Ben Usman collaborates with scholars based in United States, Italy and Canada. Ben Usman's co-authors include Kate Saenko, Dequan Wang, Xingchao Peng, Judy Hoffman, Avneesh Sud, Andrea Tagliasacchi, Chris Bregler, George Cazenavette, Thomas Leung and Luisa Verdoliva and has published in prestigious journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV) and Neural Information Processing Systems.

In The Last Decade

Ben Usman

7 papers receiving 154 citations

Peers

Ben Usman

CVPR

AI

RNMI

AE

CR

Tiange Luo United Kingdom

Zhixiang Chi Canada

Yifeng Geng China

Luyu Yang China

Olivia Wiles United Kingdom

Hanwen Liang Canada

Jungbeom Lee South Korea

Arslan Chaudhry United States

Ali Mohammad Pazandeh Iran

Ildoo Kim South Korea

Tiange Luo United Kingdom

Ben Usman

88 ×0.7

CVPR

130 ×1.3

AI

23 ×1.5

RNMI

6 ×0.6

AE

5 ×0.6

CR

Citations per year, relative to Ben Usman Ben Usman (= 1×) peers Tiange Luo

Countries citing papers authored by Ben Usman

Since Specialization

Citations

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

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

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-authorship network of co-authors of Ben Usman

This figure shows the co-authorship network connecting the top 25 collaborators of Ben Usman. A scholar is included among the top collaborators of Ben Usman based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Ben Usman. Ben Usman is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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8 of 8 papers shown

1.

Usman, Ben, et al.. (2025). A Bias-Free Training Paradigm for More General AI-generated Image Detection. 18685–18694.

2.

Cazenavette, George, Avneesh Sud, Thomas Leung, & Ben Usman. (2024). FakeInversion: Learning to Detect Images from Unseen Text-to-Image Models by Inverting Stable Diffusion. 10759–10769. 6 indexed citations

3.

Usman, Ben, et al.. (2022). Evaluation of Correctness in Unsupervised Many-to-Many Image Translation. 2022 IEEE/CVF Winter Conference on Applications of Computer Vision (WACV). 1. 1–10. 3 indexed citations

4.

Usman, Ben, Andrea Tagliasacchi, Kate Saenko, & Avneesh Sud. (2022). MetaPose: Fast 3D Pose from Multiple Views without 3D Supervision. 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR). 6749–6760. 17 indexed citations

5.

Usman, Ben, et al.. (2019). Adversarial Self-Defense for Cycle-Consistent GANs. Neural Information Processing Systems. 32. 635–645. 6 indexed citations

6.

Usman, Ben, et al.. (2019). PuppetGAN: Cross-Domain Image Manipulation by Demonstration. 9449–9457. 12 indexed citations

7.

Usman, Ben, Kate Saenko, & Brian Kulis. (2018). Stable Distribution Alignment Using the Dual of the Adversarial Distance. International Conference on Learning Representations. 1 indexed citations

8.

Peng, Xingchao, et al.. (2018). VisDA: A Synthetic-to-Real Benchmark for Visual Domain Adaptation. 2102–21025. 112 indexed citations

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.

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