Sébastien Ehrhardt
About
Sébastien Ehrhardt has authored 9 papers that have received a total of 136 indexed citations.
This includes 6 papers in Artificial Intelligence, 6 papers in Computer Vision and Pattern Recognition and 3 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Domain Adaptation and Few-Shot Learning (4 papers), Advanced Vision and Imaging (3 papers) and COVID-19 diagnosis using AI (3 papers). Sébastien Ehrhardt is often cited by papers focused on Domain Adaptation and Few-Shot Learning (4 papers), Advanced Vision and Imaging (3 papers) and COVID-19 diagnosis using AI (3 papers) and collaborates with scholars based in United Kingdom. Sébastien Ehrhardt's co-authors include Andrew Zisserman, Andrea Vedaldi, Kai Han, Sylvestre-Alvise Rebuffi and Niloy J. Mitra and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence and Computer Vision and Image Understanding.
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