Jérôme Darbon
About
Jérôme Darbon has authored 50 papers that have received a total of 2.0k indexed citations.
This includes 22 papers in Computer Vision and Pattern Recognition, 20 papers in Computational Mechanics and 10 papers in Statistical and Nonlinear Physics. The topics of these papers are Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (9 papers) and Model Reduction and Neural Networks (9 papers). Jérôme Darbon is often cited by papers focused on Sparse and Compressive Sensing Techniques (14 papers), Image and Signal Denoising Methods (9 papers) and Model Reduction and Neural Networks (9 papers) and collaborates with scholars based in United States, France and Türkiye. Jérôme Darbon's co-authors include Stanley Osher, Marc Sigelle, Florence Tupin, George Em Karniadakis and Laurence Likforman-Sulem and has published in prestigious journals such as Journal of Computational Physics, IEEE Transactions on Geoscience and Remote Sensing and IEEE Transactions on Image Processing
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