关注
Igor Ciril
Igor Ciril
Institut Polytechnique des Techniques Avancées
在 ipsa.fr 的电子邮件经过验证
标题
引用次数
引用次数
年份
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
32011
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
22018
Dynamics analysis of a drillstring model
I Boussaada, H Mounier, SI Niculescu, A Cela, I Ciril, K Trabelsi
SIAMCT11, 1-3, 2011
22011
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
22009
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
12021
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
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