Nathan Silberman
About
Nathan Silberman has authored 7 papers that have received a total of 1.1k indexed citations.
This includes 5 papers in Artificial Intelligence, 4 papers in Computer Vision and Pattern Recognition and 2 papers in Radiology, Nuclear Medicine and Imaging. The topics of these papers are Generative Adversarial Networks and Image Synthesis (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Anomaly Detection Techniques and Applications (2 papers). Nathan Silberman is often cited by papers focused on Generative Adversarial Networks and Image Synthesis (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Anomaly Detection Techniques and Applications (2 papers) and collaborates with scholars based in United States, United Kingdom and Austria. Nathan Silberman's co-authors include Zbigniew Wojna, Sergio Guadarrama, Swami Sankaranarayanan, Ardavan Saeedi and Vittorio Ferrari and has published in prestigious journals such as International Journal of Computer Vision.
In The Last Decade
Explore authors with similar magnitude of impact
Breakdown of academic impact, for papers by Senzi Li Breakdown of academic impact, for papers by Hannah Hartmann Breakdown of academic impact, for papers by Sébastien Gleyzes Breakdown of academic impact, for papers by Geert J. M. Boerma Breakdown of academic impact, for papers by Frank Meintzschel Breakdown of academic impact, for papers by Timothy D Ancheta Breakdown of academic impact, for papers by John Marker Breakdown of academic impact, for papers by Svetlana Y. Kotchenova