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  • Acceleration of the PDHGM on strongly convex subspaces 

Researchers: Tuomo Valkonen and Thomas Pock

Code: https://www.repository.cam.ac.uk/handle/1810/253697

 

  • Anisotropic osmosis filtering for shadow removal in images 

Researchers: Simone Parisotto, Luca Calatroni, Marco Caliari, Carola-Bibiane Schönlieb, and Joachim Weickert

Code: https://github.com/simoneparisotto/Anisotropic-osmosis-filter

 

  • Diffusion tensor imaging with deterministic error bounds

Researchers: Artur Gorokh, Yury Korolev ,and Tuomo Valkonen

Code: https://www.repository.cam.ac.uk/handle/1810/253422

 

  • Learning Filter Functions in Regularisers by Minimising Quotients

Researchers: Martin Benning, Guy Gilboa, Joana Sarah Grah, Carola-Bibiane Schönlieb

Code: https://doi.org/10.17863/CAM.8419

 

  • Mathematical Imaging Methods for Mitosis Analysis in Live-Cell Phase Contrast Microscopy 

Researchers: Joana Sarah Grah, Jennifer Alison Harrington, Siang Boon Koh, Jeremy Andrew Pike, Alexander Schreiner, Martin Burger, Carola-Bibiane Schönlieb, Stefanie Reichelt

Code: http://github.com/JoanaGrah/MitosisAnalyser

 

Researchers: Matthias J. Ehrhardt, Marta M. Betcke

Code: https://epubs.siam.org/doi/10.1137/15M1047325#supplementary-materials

 

  • Preconditioned ADMM with nonlinear operator constraint 

Researchers: Martin Benning, Florian Knoll, Carola-Bibiane Schönlieb and Tuomo Valkonen

Code: https://www.repository.cam.ac.uk/handle/1810/256221
 

  • SCOTCH and SODA: A Transformer Video Shadow Detection Framework

Researchers: Lihao Liu, Jean Prost, Lei Zhu, Nicolas Papadakis, Pietro Liò, Carola-Bibiane Schönlieb, Angelica I Aviles-Rivero

Code: https://github.com/Math-ML-X/scotch-and-soda

 

  • TFPnP: Tuning-free Plug-and-Play Proximal Algorithm with Applications to Inverse Imaging Problems.

Researchers: Kaixuan Wei, Angelica Aviles-Rivero, Jingwei Liang, Ying Fu, Hua Huang, Carola-Bibiane Schönlieb

Code: https://github.com/Math-ML-X/TFPnP

 

  • LaplaceNet: A Hybrid Graph-Energy Neural Network for Deep Semi-Supervised Classification

Researchers: Philip Sellars, Angelica I. Aviles-Rivero, Carola-Bibiane Schönlieb

Code: https://github.com/Math-ML-X/LaplaceNet