Simon Wiedemann

19 papers and 1.2k indexed citations i.

Simon Wiedemann has authored 19 papers that have received a total of 1.2k indexed citations. This includes 10 papers in Computer Vision and Pattern Recognition, 9 papers in Artificial Intelligence and 3 papers in Control and Systems Engineering. The topics of these papers are Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Sparse and Compressive Sensing Techniques (2 papers). Simon Wiedemann is often cited by papers focused on Advanced Neural Network Applications (7 papers), Domain Adaptation and Few-Shot Learning (4 papers) and Sparse and Compressive Sensing Techniques (2 papers) and collaborates with scholars based in Germany, South Korea and United Kingdom. Simon Wiedemann's co-authors include Wojciech Samek, Klaus‐Robert Müller, Arturo Marbán, Thomas Wiegand and Detlev Marpe and has published in prestigious journals such as Nature Communications, Journal of Sound and Vibration and Pattern Recognition.