Théo Dupuis

3 papers and 336 indexed citations i.

Théo Dupuis is a scholar working on Artificial Intelligence, Computer Vision and Pattern Recognition and Electrical and Electronic Engineering. According to data from OpenAlex, Théo Dupuis has authored 3 papers receiving a total of 336 indexed citations (citations by other indexed papers that have themselves been cited), including 2 papers in Artificial Intelligence, 2 papers in Computer Vision and Pattern Recognition and 1 paper in Electrical and Electronic Engineering. Recurrent topics in Théo Dupuis’s work include Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and CCD and CMOS Imaging Sensors (1 paper). Théo Dupuis is often cited by papers focused on Advanced Neural Network Applications (2 papers), Domain Adaptation and Few-Shot Learning (2 papers) and CCD and CMOS Imaging Sensors (1 paper). Théo Dupuis collaborates with scholars based in Canada, Pakistan and France. Théo Dupuis's co-authors include Camille Blériot, Olivier Disson, Marc Lecuit, Gérard Eberl, Grégory Jouvion, Jean‐Pierre David, Yvon Savaria, Frank K. Gürkaynak, Luca Benini and François Leduc-Primeau and has published in prestigious journals such as Immunity, arXiv (Cornell University) and 2022 IEEE International Symposium on Circuits and Systems (ISCAS).