Nicolas Gac
Orcid: 0000-0001-6981-0368
According to our database1,
Nicolas Gac
authored at least 30 papers
between 2006 and 2024.
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Bibliography
2024
Proceedings of the Design and Architectures for Signal and Image Processing, 2024
2023
Astron. Comput., October, 2023
X-Ray Tomography Reconstruction Accelerated on FPGA Through High-Level Synthesis Tools.
IEEE Trans. Biomed. Circuits Syst., April, 2023
Proceedings of the 26th Euromicro Conference on Digital System Design, 2023
2022
J. Real Time Image Process., 2022
Real-time optical flow processing on embedded GPU: an hardware-aware algorithm to implementation strategy.
J. Real Time Image Process., 2022
Multi-core multi-node parallelization of the radio interferometric imaging pipeline DDFacet.
Proceedings of the IEEE Workshop on Signal Processing Systems, 2022
Proceedings of the 2022 IEEE International Conference on Image Processing, 2022
2021
OpenCL FPGA Optimization guided by memory accesses and roofline model analysis applied to tomography acceleration.
Proceedings of the 31st International Conference on Field-Programmable Logic and Applications, 2021
2020
Student Session: Data distribution on a multi-GPU node for TomoBayes CT reconstruction.
Proceedings of the 26th IEEE International Conference on Embedded and Real-Time Computing Systems and Applications, 2020
An Efficiency-Driven Approach For Real-Time Optical Flow Processing On Parallel Hardware.
Proceedings of the IEEE International Conference on Image Processing, 2020
Adéquation algorithme architecture pour l'accélération de méthodes d'inversion de données en grande dimension.
, 2020
2019
J. Signal Process. Syst., 2019
Error-Splitting Forward Model for Iterative Reconstruction in X-Ray Computed Tomography and Application With Gauss-Markov-Potts Prior.
IEEE Trans. Computational Imaging, 2019
2018
Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior Model for Sparsity in Haar Transform Domain.
Entropy, 2018
A Study on Convolution using Half-Precision Floating-Point Numbers on GPU for Radio Astronomy Deconvolution.
Proceedings of the 2018 IEEE International Workshop on Signal Processing Systems, 2018
Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems.
Proceedings of the 26th European Signal Processing Conference, 2018
2017
X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework.
Fundam. Informaticae, 2017
A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data.
Fundam. Informaticae, 2017
Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography.
Proceedings of the 2017 IEEE International Conference on Image Processing, 2017
X-ray Computed Tomography simultaneous image reconstruction and contour detection using a hierarchical Markovian model.
Proceedings of the 2017 IEEE International Conference on Acoustics, 2017
Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction.
Proceedings of the 25th European Signal Processing Conference, 2017
Proceedings of the 2017 Conference on Design and Architectures for Signal and Image Processing, 2017
2016
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16).
CoRR, 2016
Computed tomography reconstruction based on a hierarchical model and variational Bayesian method.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016
2013
Traitement du Signal, 2013
High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model.
Proceedings of the Geometric Science of Information - First International Conference, 2013
2012
Proceedings of the Eighth International Conference on Signal Image Technology and Internet Based Systems, 2012
2008
2006
Proceedings of the 2006 ACM Symposium on Applied Computing (SAC), 2006