Jonas Geiping
Impact in
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- Computer Graphics and Visualization Techniques
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- Generative Adversarial Networks and Image Synthesis
- Advanced Image Processing Techniques
- Video Analysis and Summarization
- Image and Signal Denoising Methods
Papers in
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- Medical Image Segmentation Techniques 2
- Advanced Vision and Imaging 2
- Generative Adversarial Networks and Image Synthesis 2
- Advanced Image and Video Retrieval Techniques 2
- Multimodal Machine Learning Applications 2
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- Adversarial Robustness in Machine Learning 4
- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Tom Goldstein (10 shared papers)Micah Goldblum (9 shared papers)Gowthami Somepalli (3 shared papers)Arpit Bansal (1 shared paper)Avi Schwarzschild (2 shared papers)Soumyadip Sengupta (1 shared paper)Hongmin Chu (1 shared paper)Liam Fowl (3 shared papers)
- Journals
- 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW) (1 paper)International Conference on Learning Representations (1 paper)arXiv (Cornell University) (2 papers)
- Partner nations
- United StatesGermany
In The Last Decade
Jonas Geiping
15 papers receiving 163 citations
Peers
Comparison fields: 5 of 47
- Computer Graphics and Computer-Aided Design 19
- Computer Vision and Pattern Recognition 93
- Artificial Intelligence 55
- Health Informatics 2
- Signal Processing 15
Countries citing papers authored by Jonas Geiping
This map shows the geographic impact of Jonas Geiping'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 Jonas Geiping with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Jonas Geiping more than expected).
Fields of papers citing papers by Jonas Geiping
This network shows the impact of papers produced by Jonas Geiping. 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 Jonas Geiping. The network helps show where Jonas Geiping may publish in the future.
Co-authors
The 23 scholars most cited alongside Jonas Geiping, 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 | 2023 | 72 | |
| 2 | 2023 | 70 | |
| 3 | MetaPoison: Practical General-purpose Clean-label Data Poisoning | 2020 | 3 |
| 4 | 2023 | 3 | |
| 5 | 2023 | 3 | |
| 6 | 2019 | 3 | |
| 7 | 2024 | 3 | |
| 8 | Truth or backpropaganda? An empirical investigation of deep learning theory | 2020 | 2 |
| 9 | Comparison of Topology-preserving Segmentation Methods and Application to Mitotic Cell Tracking | 2014 | 2 |
| 10 | 2022 | 2 | |
| 11 | Multiframe Motion Coupling via Infimal Convolution Regularization for Video Super Resolution. | 2016 | 1 |
| 12 | 2024 | 1 | |
| 13 | 2023 | 1 | |
| 14 | 2023 | 1 | |
| 15 | Protecting Proprietary Data: Poisoning for Secure Dataset Release | 2021 | 1 |
| 16 | 2024 | 0 | |
| 17 | 2023 | 0 | |
| 18 | 2023 | 0 | |
| 19 | 2023 | 0 |
About Jonas Geiping
Jonas Geiping is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Computational Mechanics, Radiology, Nuclear Medicine and Imaging and Molecular Biology, having authored 19 papers that have together received 168 indexed citations. Recurring topics across this work include Adversarial Robustness in Machine Learning (4 papers), Medical Image Segmentation Techniques (2 papers), Advanced Vision and Imaging (2 papers), Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Image and Video Retrieval Techniques (2 papers), Multimodal Machine Learning Applications (2 papers), Domain Adaptation and Few-Shot Learning (1 paper) and Cell Image Analysis Techniques (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (19 citations), Computer Vision and Pattern Recognition (93 citations), Artificial Intelligence (55 citations), Health Informatics (2 citations) and Signal Processing (15 citations). Jonas Geiping has collaborated with scholars based in United States and Germany. Frequent co-authors include Tom Goldstein, Micah Goldblum, Gowthami Somepalli, Arpit Bansal, Avi Schwarzschild, Soumyadip Sengupta, Hongmin Chu, Liam Fowl, Gavin Taylor and Martin Burger. Their work appears in journals such as 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition Workshops (CVPRW), International Conference on Learning Representations and arXiv (Cornell University).
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.