Axel Sauer
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
- Advanced Vision and Imaging
- Image and Signal Denoising Methods
- Face recognition and analysis
Papers in
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- Generative Adversarial Networks and Image Synthesis 2
- Handwritten Text Recognition Techniques 1
- Advanced Image and Video Retrieval Techniques 1
- Image Processing and 3D Reconstruction 1
- Video Surveillance and Tracking Methods 1
- Advanced Neural Network Applications 1
- Visual Attention and Saliency Detection 1
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- Domain Adaptation and Few-Shot Learning 1
- Co-authors
- Andreas Geiger (2 shared papers)Katja Schwarz (1 shared paper)Elie Aljalbout (1 shared paper)Sami Haddadin (1 shared paper)
- Journals
- arXiv (Cornell University) (2 papers)
- Partner nations
- Germany
In The Last Decade
Axel Sauer
3 papers receiving 188 citations
Axel Sauer's Hit Papers
Peers
Comparison fields: 5 of 49
- Computer Graphics and Computer-Aided Design 25
- Computer Vision and Pattern Recognition 141
- Artificial Intelligence 60
- Signal Processing 13
- Biophysics 6
Countries citing papers authored by Axel Sauer
This map shows the geographic impact of Axel Sauer'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 Axel Sauer with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Axel Sauer more than expected).
Fields of papers citing papers by Axel Sauer
This network shows the impact of papers produced by Axel Sauer. 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 Axel Sauer. The network helps show where Axel Sauer may publish in the future.
Co-authors
The 4 scholars most cited alongside Axel Sauer, 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 | StyleGAN-XL: Scaling StyleGAN to Large Diverse Datasets Hit paper breakdown → | 2022 | 180 |
| 2 | Tracking Holistic Object Representations | 2019 | 8 |
| 3 | Counterfactual Generative Networks | 2021 | 4 |
About Axel Sauer
Axel Sauer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence, Infectious Diseases, Organic Chemistry and Surgery, having authored 3 papers that have together received 192 indexed citations. Recurring topics across this work include Generative Adversarial Networks and Image Synthesis (2 papers), Handwritten Text Recognition Techniques (1 paper), Advanced Image and Video Retrieval Techniques (1 paper), Image Processing and 3D Reconstruction (1 paper), Video Surveillance and Tracking Methods (1 paper), Advanced Neural Network Applications (1 paper), Visual Attention and Saliency Detection (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). The work is most often cited by research in Computer Graphics and Computer-Aided Design (25 citations), Computer Vision and Pattern Recognition (141 citations), Artificial Intelligence (60 citations), Signal Processing (13 citations) and Biophysics (6 citations). Axel Sauer has collaborated with scholars based in Germany. Frequent co-authors include Andreas Geiger, Katja Schwarz, Elie Aljalbout and Sami Haddadin. Their work appears in journals such as 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.