Mattia Segù

36 total papers · 945 total citations
5 papers, 358 citations indexed

Mattia Segù is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Computer Networks and Communications. According to data from OpenAlex, Mattia Segù has authored 5 papers receiving a total of 358 indexed citations (citations by other indexed papers that have themselves been cited), including 4 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Computer Networks and Communications. Recurrent topics in Mattia Segù’s work include Anomaly Detection Techniques and Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (1 paper). Mattia Segù is often cited by papers focused on Anomaly Detection Techniques and Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Multimodal Machine Learning Applications (1 paper). Mattia Segù collaborates with scholars based in Switzerland, Pakistan and United Arab Emirates. Mattia Segù's co-authors include Antonio Loquercio, Davide Scaramuzza, Federico Tombari, Fisher Yu, Alessio Tonioni, Muhammad Zaigham Zaheer, Muhammad Haris Khan, Seung‐Ik Lee, Arif Mahmood and Bernt Schiele and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Pattern Recognition and 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).