Image denoising with a constrained discrete total variation scale space I Ciril, J Darbon Lecture notes in Discrete Geometry for Computer Imagery, 465-476, 2011 | 3 | 2011 |
A Simple and Exact Algorithm to Solve l1 Linear Problems: Application to the Compressive Sensing Method I Ciril, J Darbon, Y Tendero 13th International Joint Conference VISAPP 4, 54-62, 2018 | 2 | 2018 |
Dynamics analysis of a drillstring model I Boussaada, H Mounier, SI Niculescu, A Cela, I Ciril, K Trabelsi SIAMCT11, 1-3, 2011 | 2 | 2011 |
A note on the bregmanized total variation and dual forms J Darbon, I Ciril, A Marquina, TF Chan, S Osher 2009 16th IEEE International Conference on Image Processing (ICIP), 2965-2968, 2009 | 2 | 2009 |
An Algorithm Solving Compressive Sensing Problem Based on Maximal Monotone Operators Y Tendero, I Ciril, J Darbon, S Serna SIAM Journal on Scientific Computing 43 (6), A4067-A4094, 2021 | 1 | 2021 |
On An Answer to Smale’s 9-th Problem Y Tendero, I Ciril Preprint, 2023 | | 2023 |
SUPPLEMENTARY MATERIALS: AN ALGORITHM SOLVING COMPRESSIVE SENSING PROBLEMS BASED ON MAXIMAL 2 MONOTONE OPERATORS 3 Y TENDEROT, I CIRIL, J DARBON, S SERNA SIAM Journal on Scientific Computing 43 (6), 2021 | | 2021 |
A Simple and Exact Algorithm to Solve Linear Problems with -Based Regularizers Y Tendero, I Ciril, J Darbon Computer Vision, Imaging and Computer Graphics Theory and Applications, 243-271, 2020 | | 2020 |
A Simple and Exact Algorithm to Solve l1 Linear Problems I Ciril, J Darbon, Y Tendero | | 2018 |
Image Deconvolution With a constrained weighted discrete total variation scale space I Ciril PICOF (Problèmes Inverses, Contrôle et Optimisation de Formes), Ecole …, 2012 | | 2012 |
Image denoising with a constrained weighted discrete total variation scale space JD I. Ciril 16th IAPR International Conference, DGCI 2011, Nancy, France, April 6-8 …, 2011 | | 2011 |
On a polynomial vector field model for shape representation M Chekroun, J Darbon, I Ciril Lecture notes in Image Analysis and Recognition, 386-397, 2006 | | 2006 |
On performing accurate Bayesian estimation using set theoretic framework. Application to Kalman filter under general convex constraints I CIRIL, M CHEKROUN, L ROQUES Rapport de recherche INRA, 2006 | | 2006 |