Axel Sauer

4 papers and 131 indexed citations i.

Axel Sauer is a scholar working on Computer Vision and Pattern Recognition, Artificial Intelligence and Cognitive Neuroscience. According to data from OpenAlex, Axel Sauer has authored 4 papers receiving a total of 131 indexed citations (citations by other indexed papers that have themselves been cited), including 3 papers in Computer Vision and Pattern Recognition, 1 paper in Artificial Intelligence and 1 paper in Cognitive Neuroscience. Recurrent topics in Axel Sauer’s work include Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Axel Sauer is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (2 papers), Advanced Neural Network Applications (1 paper) and Domain Adaptation and Few-Shot Learning (1 paper). Axel Sauer collaborates with scholars based in Germany. Axel Sauer's co-authors include Andreas Geiger, Katja Schwarz, Alexander Mertens and Sami Haddadin and has published in prestigious journals such as IEEE Robotics and Automation Letters and arXiv (Cornell University).