Roberto Rigamonti
About
Roberto Rigamonti has authored 7 papers that have received a total of 442 indexed citations.
This includes 4 papers in Computer Vision and Pattern Recognition, 4 papers in Computational Mechanics and 2 papers in Artificial Intelligence. The topics of these papers are Sparse and Compressive Sensing Techniques (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Vision and Imaging (2 papers). Roberto Rigamonti is often cited by papers focused on Sparse and Compressive Sensing Techniques (4 papers), Domain Adaptation and Few-Shot Learning (2 papers) and Advanced Vision and Imaging (2 papers) and collaborates with scholars based in Switzerland, United States and France. Roberto Rigamonti's co-authors include Vincent Lepetit, Pascal Fua, Matthew A. Brown, Amos Sironi and Bugra Tekin and has published in prestigious journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, Computer Vision and Image Understanding and Lecture notes in computer science
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