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ORCIDNicolas Gac
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2020 – today
- 2024
[c17]Sunrise Wang
, Nicolas Gac, Hugo Miomandre, Jean-François Nezan, Karol Desnos, François Orieux:
An Initial Framework for Prototyping Radio-Interferometric Imaging Pipelines. DASIP 2024: 56-67- 2023
- [j11]Nicolas Monnier, François Orieux, Nicolas Gac, Cyril Tasse, Erwan Raffin, David Guibert:
Fast grid to grid interpolation for radio interferometric imaging. Astron. Comput. 45: 100767 (2023) - [j10]Daouda Diakite, Nicolas Gac:
X-Ray Tomography Reconstruction Accelerated on FPGA Through High-Level Synthesis Tools. IEEE Trans. Biomed. Circuits Syst. 17(2): 375-389 (2023) - [c16]Agathe Archet, Nicolas Ventroux, Nicolas Gac, François Orieux:
Energy-Efficient Use of an Embedded Heterogeneous SoC for the Inference of CNNs. DSD 2023: 30-38 - 2022
- [j9]Mickaël Seznec, Nicolas Gac, François Orieux, Alvin Sashala Naik:
Real-time optical flow processing on embedded GPU: an hardware-aware algorithm to implementation strategy. J. Real Time Image Process. 19(2): 317-329 (2022) - [j8]Mickaël Seznec, Nicolas Gac, François Orieux, Alvin Sashala Naik:
Computing large 2D convolutions on GPU efficiently with the im2tensor algorithm. J. Real Time Image Process. 19(6): 1035-1047 (2022) - [c15]Nicolas Monnier, François Orieux, Nicolas Gac, Cyril Tasse, Erwan Raffin, David Guibert:
Fast Sky to Sky Interpolation for Radio Interferometric Imaging. ICIP 2022: 1571-1575 - [c14]Nicolas Monnier, David Guibert, Cyril Tasse, Nicolas Gac, François Orieux, Erwan Raffin, Oleg M. Smirnov, Benjamin V. Hugo:
Multi-core multi-node parallelization of the radio interferometric imaging pipeline DDFacet. SiPS 2022: 1-6 - 2021
- [c13]Daouda Diakite, Nicolas Gac, Maxime Martelli:
OpenCL FPGA Optimization guided by memory accesses and roofline model analysis applied to tomography acceleration. FPL 2021: 109-114 - 2020
- [b1]Nicolas Gac:
Adéquation algorithme architecture pour l'accélération de méthodes d'inversion de données en grande dimension. University of Paris-Saclay, France, 2020 - [c12]Mickaël Seznec, Nicolas Gac, François Orieux, Alvin Sashala Naik:
An Efficiency-Driven Approach For Real-Time Optical Flow Processing On Parallel Hardware. ICIP 2020: 3055-3059 - [c11]Mohammed Chghaf, Nicolas Gac:
Student Session: Data distribution on a multi-GPU node for TomoBayes CT reconstruction. RTCSA 2020: 1-2
2010 – 2019
- 2019
- [j7]Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra:
Error-Splitting Forward Model for Iterative Reconstruction in X-Ray Computed Tomography and Application With Gauss-Markov-Potts Prior. IEEE Trans. Computational Imaging 5(2): 317-332 (2019) - [j6]Maxime Martelli, Nicolas Gac, Alain Mérigot, Cyrille Enderli:
3D Tomography Back-Projection Parallelization on Intel FPGAs Using OpenCL. J. Signal Process. Syst. 91(7): 731-743 (2019) - 2018
- [j5]Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru:
Bayesian 3D X-ray Computed Tomography with a Hierarchical Prior Model for Sparsity in Haar Transform Domain. Entropy 20(12): 977 (2018) - [c10]Ali Mohammad-Djafari, Mircea Dumitru, Camille Chapdelaine, Nicolas Gac:
Bayesian Inference with Error Variable Splitting and Sparsity Enforcing Priors for Linear Inverse Problems. EUSIPCO 2018: 440-444 - [c9]Mickaël Seznec, Nicolas Gac, André Ferrari, François Orieux:
A Study on Convolution using Half-Precision Floating-Point Numbers on GPU for Radio Astronomy Deconvolution. SiPS 2018: 170-175 - 2017
- [j4]Camille Chapdelaine, Ali Mohammad-Djafari, Nicolas Gac, Estelle Parra:
A 3D Bayesian Computed Tomography Reconstruction Algorithm with Gauss-Markov-Potts Prior Model and its Application to Real Data. Fundam. Informaticae 155(4): 373-405 (2017) - [j3]Li Wang, Ali Mohammad-Djafari, Nicolas Gac:
X-ray Computed Tomography using a Sparsity Enforcing Prior Model Based on Haar Transformation in a Bayesian Framework. Fundam. Informaticae 155(4): 449-480 (2017) - [c8]Maxime Martelli, Nicolas Gac, Alain Mérigot, Cyrille Enderli:
3D tomography back-projection parallelization on FPGAs using opencl. DASIP 2017: 1-6 - [c7]Li Wang, Ali Mohammad-Djafari, Nicolas Gac:
Bayesian method with sparsity enforcing prior of dual-tree complex wavelet transform coefficients for X-ray CT image reconstruction. EUSIPCO 2017: 478-482 - [c6]Li Wang, Ali Mohammad-Djafari, Nicolas Gac:
X-ray Computed Tomography simultaneous image reconstruction and contour detection using a hierarchical Markovian model. ICASSP 2017: 6070-6074 - [c5]Mircea Dumitru, Li Wang, Nicolas Gac, Ali Mohammad-Djafari:
Performance comparison of Bayesian iterative algorithms for three classes of sparsity enforcing priors with application in computed tomography. ICIP 2017: 3580-3584 - 2016
- [c4]Li Wang, Ali Mohammad-Djafari, Nicolas Gac, Mircea Dumitru:
Computed tomography reconstruction based on a hierarchical model and variational Bayesian method. ICASSP 2016: 883-887 - [i1]Vinayak Abrol, Olivier Absil, Pierre-Antoine Absil, Sandrine Anthoine, Philippe Antoine, Thomas Arildsen, Nancy Bertin, Folkert Bleichrodt, Jérôme Bobin, Anne Bol, Antoine Bonnefoy, Francesco Caltagirone, Valerio Cambareri, Cecile Chenot, Vladimir S. Crnojevic, Marie Danková, Kévin Degraux, Jens Eisert, Mohamed-Jalal Fadili, Marylou Gabrié, Nicolas Gac, Daniele Giacobello, Carlos A. Gomez Gonzalez, Adriana Gonzalez, Pierre-Yves Gousenbourger, Mads Græsbøll Christensen, Rémi Gribonval, Stéphanie Guérit, Shaoguang Huang, Paul Irofti, Laurent Jacques, Ulugbek S. Kamilov, Srdan Kitic, Martin Kliesch, Florent Krzakala, John A. Lee, Wenzhi Liao, Tobias Lindstrøm Jensen, Andre Manoel, Hassan Mansour, Ali Mohammad-Djafari, Amirafshar Moshtaghpour, Fred Maurice Ngolè Mboula, Benoît Pairet, Marko Panic, Gabriel Peyré, Aleksandra Pizurica, Pavel Rajmic, Matthieu Roblin, Ingo Roth, Anil Kumar Sao, Pulkit Sharma, Jean-Luc Starck, Eric W. Tramel, Toon van Waterschoot, Dejan Vukobratovic, Li Wang, Benedikt Wirth, Gerhard Wunder, Hongyan Zhang:
Proceedings of the third "international Traveling Workshop on Interactions between Sparse models and Technology" (iTWIST'16). CoRR abs/1609.04167 (2016) - 2013
- [j2]Thomas Boulay, Nicolas Gac, Ali Mohammad-Djafari, Julien Lagoutte:
Algorithmes de reconnaissance NCTR et parallélisation sur GPU. Traitement du Signal 30(6): 309-342 (2013) - [c3]Thomas Boulay, Ali Mohammad-Djafari, Nicolas Gac, Julien Lagoutte:
High-Dimensional Range Profile Geometrical Visualization and Performance Estimation of Radar Target Classification via a Gaussian Mixture Model. GSI 2013: 829-836 - 2012
- [c2]Thomas Boulay, Julien Lagoutte, Ali Mohammad-Djafari, Nicolas Gac:
A Fuzzy-Logic Based Non Cooperative Target Recognition. SITIS 2012: 410-415
2000 – 2009
- 2008
- [j1]Nicolas Gac, Stéphane Mancini, Michel Desvignes, Dominique Houzet:
High Speed 3D Tomography on CPU, GPU, and FPGA. EURASIP J. Embed. Syst. 2008 (2008) - 2006
- [c1]Nicolas Gac, Stéphane Mancini, Michel Desvignes:
Hardware/software 2D-3D backprojection on a SoPC platform. SAC 2006: 222-228
Coauthor Index
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last updated on 2024-08-03 20:17 CEST by the dblp team
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