Mattia Segù
About
Mattia Segù has authored 7 papers that have received a total of 303 indexed citations.
This includes 6 papers in Artificial Intelligence, 5 papers in Computer Vision and Pattern Recognition and 1 paper in Biomedical Engineering. The topics of these papers are Domain Adaptation and Few-Shot Learning (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Video Surveillance and Tracking Methods (3 papers). Mattia Segù is often cited by papers focused on Domain Adaptation and Few-Shot Learning (3 papers), Anomaly Detection Techniques and Applications (3 papers) and Video Surveillance and Tracking Methods (3 papers) and collaborates with scholars based in Switzerland, Germany and United Arab Emirates. Mattia Segù's co-authors include Fisher Yu, Bernt Schiele, Siyuan Li, Federico Tombari and Luc Van Gool and has published in prestigious journals such as Pattern Recognition and IEEE Robotics and Automation Letters
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