Alireza Hosseini

Orcid: 0000-0002-6628-0805

According to our database1, Alireza Hosseini authored at least 18 papers between 2013 and 2024.

Collaborative distances:
  • Dijkstra number2 of five.
  • Erdős number3 of four.

Timeline

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Bibliography

2024
Existence, uniqueness, and numerical approximation of solutions of a nonlinear functional integral equation.
J. Comput. Appl. Math., March, 2024

SUM: Saliency Unification through Mamba for Visual Attention Modeling.
CoRR, 2024

Brand Visibility in Packaging: A Deep Learning Approach for Logo Detection, Saliency-Map Prediction, and Logo Placement Analysis.
CoRR, 2024

INCODE: Implicit Neural Conditioning with Prior Knowledge Embeddings.
Proceedings of the IEEE/CVF Winter Conference on Applications of Computer Vision, 2024

2023
The Second-Order Shannon Total Generalized Variation for Image Restoration.
Signal Process., 2023

A hybrid proximal generalized conditional gradient method and application to total variation parameter learning.
Proceedings of the European Control Conference, 2023

2022
Modified conjugate gradient method for solving sparse recovery problem with nonconvex penalty.
Signal Process., 2022

A Second-Order TGV Discretization with Some Invariance Properties.
CoRR, 2022

2020
Design and Implementation of a Maxi-Sized Mobile Robot (Karo) for Rescue Missions.
CoRR, 2020

Bernoulli operational matrix method for the numerical solution of nonlinear two-dimensional Volterra-Fredholm integral equations of Hammerstein type.
Comput. Appl. Math., 2020

Application of a grey-box modelling approach for the online monitoring of batch production in the chemical industry.
Autom., 2020

2019
New discretization of total variation functional for image processing tasks.
Signal Process. Image Commun., 2019

Compressed MRI Reconstruction Exploiting a Rotation-Invariant Total Variation Discretization.
CoRR, 2019

2017
A projection type steepest descent neural network for solving a class of nonsmooth optimization problems.
Neurocomputing, 2017

2016
A non-penalty recurrent neural network for solving a class of constrained optimization problems.
Neural Networks, 2016

2013
A recurrent neural network for solving a class of generalized convex optimization problems.
Neural Networks, 2013

A New Steepest Descent Differential Inclusion-Based Method for Solving General Nonsmooth Convex Optimization Problems.
J. Optim. Theory Appl., 2013

Mid-course control of particle size distribution in emulsion polymerization using a hybrid model.
Proceedings of the IEEE International Conference on Control Applications, 2013


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