Samuel Willingham

Doktorand|Doctoral Student

Samuel works as a joint Early Stage Researcher within the Plenoptima-project at Mid Sweden University and the French Institute for Research in Computer Science and Automation (Inria). His research topic is “Learning Algorithms for Inverse Problems with New Imaging Modalities“.



PLENOPTIMA – Plenoptic Imaging



Willingham, S. , Sjöström, M. & Guillemot, C. (2024). Training Methods for Regularizing Gradients on Multi-Task Image Restoration Problems. I Proceedings of the International Joint Conference on Computer Vision, Imaging and Computer Graphics Theory and Applications.. S. 145--153.  

Willingham, S. , Sjöström, M. & Guillemot, C. (2023). Prior for Multi-Task Inverse Problems in Image Reconstruction Using Deep Equilibrium Models. I 2023 31st European Signal Processing Conference (EUSIPCO).  

Sidan uppdaterades 2023-09-21