Book chapters:

[OS1] B. Lumeau, J.-C. Pesquet, J.-F. Bercher and L. Louveau, “Optimisation of bias-variance tradeoff in non parametric spectral analysis by decomposition into wavelet packets”, in Progress in Wavelet Analysis and Applications, Y. Meyer and S. Roques editors, Editions Frontières, pp. 285-290, 1993.

[OS2] H. Krim and J.-C. Pesquet, “On the statistics of best bases criteria”, in Wavelets and Statistics, A. Antoniadis and G. Oppenheim editors, Lecture notes in statistics, Springer Verlag, pp. 192-207, 1995.

[OS3] D. Leporini, J.-C. Pesquet and H. Krim, “Best basis representations based on prior statistical models” in Bayesian Inference in Wavelet Based Models, P. Müller and B. Vidakovic editors, Lecture notes in statistics, Springer Verlag, vol. 141, pp. 155-172 ,1999.

[OS4] B. Pesquet-Popescu et J.-C. Pesquet, “Ondelettes et traitement d’images” dans Le Traitement des Images, éditeur H. Maître, Hermès Science, Paris, pp. 193-213, 2003.

[OS5] M. Castella, A. Chevreuil et J.-C. Pesquet, “Mélanges convolutifs” dans Séparation de Sources : Concepts de Base et Analyse en Composantes Indépendantes, vol. 1, éditeurs P. Comon et C. Jutten, Hermès Science, Paris, pp. 231-282, 2007.

[OS6] B. Pesquet-Popescu and J.-C. Pesquet, “Wavelets and image processing” in Image Processing, H. Maître editor, ISTE Wiley, London, UK, pp. 181-204, 2008 (also translated in Chinese).

[OS7] C. Chaux, A. Benazza-Benyahia, J.-C. Pesquet and L. Duval, “Wavelet transform for the denoising of multivariate images”, in Multivariate Image Processing, C. Collet, J. Chanussot and K. Chehdui editors, ISTE Wiley, London, UK, pp. 203-238, 2009.

[OS8] M. Castella, A. Chevreuil and J.-C. Pesquet, “Convolutive mixtures”, in Handbook of Blind Source Separation. Independent Component Analysis and Applications, P. Comon and C. Jutten editors, Academic Press, Oxford, UK, pp. 281-324, 2010.

[OS9] P. L. Combettes and J.-C. Pesquet, “Proximal splitting methods in signal processing”, in Fixed-Point Algorithms for Inverse Problems in Science and Engineering, H. H. Bauschke, R. Burachik, P. L. Combettes, V. Elser, D. R. Luke, and H. Wolkowicz editors. Springer-Verlag, New York, pp. 185-212, 2011.

[OS10] N. Pustelnik, A. Benazza-Benhayia, Y. Zheng, and J.-C. Pesquet, “Wavelet-based image deconvolution and reconstruction”, Wiley Encyclopedia of Electrical and Electronics Engineering, 34 p., 2016.

Peer-reviewed journal papers:

For papers published in applied mathematical journals, the order of the authors is alphabetical.

[ACL1] J.-C. Pesquet and G. Tziritas, “Méthodes adaptatives appliquées au codage prédictif intra et inter-images”, Traitement du Signal, vol. 5, № 3, pp. 143-152, 1988.

[ACL2] G. Tziritas and J.-C. Pesquet, “Predictive coding of images using an adaptive intraframe predictor and motion compensation”, Image Communication, vol. 4, pp. 457-476, Nov. 1992.

[ACL3] J.-C. Pesquet, O. Macchi and G. Tziritas, “Soft-constrained LMS algorithms for decoder stability in backward adaptive predictive systems”, Signal Processing, vol. 31, pp. 1-15, Mar. 1993.

[ACL4] H. Krim and J.-C. Pesquet, “Multiresolution analysis of a class of nonstationary processes”, IEEE Trans. Information Theory, vol. 41, no 4, pp. 1010-1020, Jul. 1995.

[ACL5] I. Dologlou, J.-C. Pesquet and J. Skowronski, “Projection based rank reduction algorithms for multichannel modelling and image compression”, Signal Processing, vol. 48, No 2, pp. 97-109, Jan. 1996.

[ACL6] J.-C. Pesquet and P. L. Combettes,“Wavelet synthesis by alternating projections”, IEEE Trans. Signal Processing, vol. 44, no 3, pp. 728-731, Mar. 1996.

[ACL7] J.-C. Pesquet, H. Krim and H. Carfantan, “Time invariant orthonormal wavelet representations”, IEEE Trans. Signal Processing, vol. 44, no 8, pp. 1964-1970, Aug. 1996.

[ACL8] E. Moreau and J.-C. Pesquet, “Generalized contrasts for multichannel blind deconvolution of linear systems”, IEEE Signal Processing Letters, vol. 4, no 6, pp. 182-183, Jun. 1997.

[ACL9] F. J. Hampson and J.-C. Pesquet, “M-band nonlinear subband decompositions with perfect reconstruction”, IEEE Trans. Image Processing, vol. 7, no 11, pp. 1547-1560, Nov. 1998.

[ACL10] L. Pesu, P. Helistö, E. Ademovic, J.-C. Pesquet, A. Saarinen and A. Sovijärvi, “Classification of respiratory sounds based on wavelet packet decomposition and learning vector quantization”, Technology and Health Care, IOS Press, vol. 6, pp. 65-74, 1998.

[ACL11] E. Ademovic, J.-C. Pesquet and G. Charbonneau, “Wheezing lung sounds analysis with adaptive local transform”, Technology and Health Care, IOS Press, vol. 6, pp. 41-51, 1998.

[ACL12] E. Ademovic, J.-C. Pesquet and G. Charbonneau, “Time-scale segmentation of respiratory sounds”, Technology and Health Care, IOS Press, vol. 6, pp. 53-63, 1998.

[ACL13] P. L. Combettes and J.-C. Pesquet, “Convex multiresolution analysis”, IEEE Trans. Pattern Analysis and Machine Intelligence, vol. 20, no 12, pp. 1308-1318, Dec. 1998.

[ACL14] D. Leporini and J.-C. Pesquet, “High-order wavelet packets and cumulant field analysis”, IEEE Trans. Information Theory, special issue on Statistical Multiscale Analysis and its Applications, vol. 45, no 3, pp. 863-877, Apr. 1999.

[ACL15] F. J. Hampson and J.-C. Pesquet, “Motion estimation in the presence of illumination variations”, Signal Processing: Image Communication, vol. 16, no 4, pp. 373-381, 2000.

[ACL16] A.P. Petropulu, J.-C. Pesquet, X. Yang and J. Yin, “Power-law shot noise and its relationships with long-memory α-stable processes”, IEEE Trans. on Signal Processing, vol. 48, no 7, pp. 1883-1892, Jul. 2000.

[ACL17] D. Leporini and J.-C. Pesquet, “Bayesian wavelet denoising: Besov priors and non-Gaussian noises”, Signal Processing, vol. 81, pp. 55-67, 2001.

[ACL18] J.-C. Pesquet and E. Moreau, “Cumulant based independence measures for linear mixtures”, IEEE Trans. on Information Theory, vol. 47, no 5, pp. 1947-1956, Jul. 2001.

[ACL19] A. Benazza-Benyahia and J.-C. Pesquet, “A unifying framework for lossless and progressive image coding”, Pattern Recognition, vol. 35, pp. 627-638, 2002.

[ACL20] O. Cappé, E. Moulines, J.-C. Pesquet, A. Petropulu and X. Yang, “Long-range dependence and heavy-tail modeling for teletraffic data”, IEEE Signal Processing Magazine, vol. 5, no 3, pp. 14-27, May 2002. IEEE Signal Processing Best Award Paper.

[ACL21] B. Pesquet-Popescu and J.-C. Pesquet, “Synthesis of bidimensional alpha-stable models with long-range dependence”, Signal Processing, no 82, pp. 1927-1940, 2002.

[ACL22] A. Benazza-Benyahia, J.-C. Pesquet and M. Hamdi, “Vector lifting schemes for lossless coding and progressive archival of multispectral images”, IEEE Trans. on Geoscience and Remote Sensing, vol. 40, no 9, pp. 2011-2024, Sep. 2002.

[ACL23] S. Touati and J.-C. Pesquet, “Some results on the wavelet packet decomposition of nonstationary processes”, Journal of Applied Signal Processing, vol. 2002, no 11, pp. 1289-1295, Nov. 2002.

[ACL24] A. Antoniadis, D. Leporini and J.-C. Pesquet, “Wavelet thresholding for some classes of non-Gaussian noise”, Statistica Neerlandica, vol. 56, issue 4, pp. 434-453, Dec. 2002.

[ACL25] A. Benazza-Benyahia, J.-C. Pesquet and H. Krim, “A nonlinear diffusion-based 3-band filter bank”, IEEE Signal Processing Letters, vol. 10, no 12, pp. 360-363, Dec. 2003.

[ACL26] P.L. Combettes and J.-C. Pesquet, “Image Restoration subject to a Total Variation Constraint”, IEEE Trans. on Image Processing, vol. 13, no 9, pp. 1213-1222, Sep. 2004.

[ACL27] P.L. Combettes and J.-C. Pesquet, “Wavelet-constrained image restoration”, International Journal on Wavelets, Multiresolution and Information Processing, vol. 2, no 4, pp. 371-389, Dec. 2004.

[ACL28] M. Castella, J.-C. Pesquet and A.P. Petropulu, “Blind separation of convolutive mixtures of temporally dependent signals using frequency and time domain contrasts”, IEEE Trans. on Signal Processing, vol. 53, no 1, pp. 107-120, Jan. 2005.

[ACL29] A. Benazza-Benyahia and J.-C. Pesquet, “Building robust wavelet estimators for multicomponent images using Stein’s principle”, IEEE Trans. on Image Processing, vol. 14, no 11, pp. 1814-1830, Nov. 2005.

[ACL30] M. Castella, P. Bianchi, A. Chevreuil and J.-C. Pesquet, “A blind source separation framework for detecting CPM sources mixed by a convolutive MIMO filter”, Signal Processing, vol. 86, pp. 1950-1967, Aug. 2006.

[ACL31] C. Chaux, L. Duval and J.-C. Pesquet, “Image analysis using a dual-tree M-band wavelet transform”, IEEE Trans. on Image Processing, vol. 15, no 8, pp. 2397-2412, Aug. 2006.

[ACL32] M. Castella, S. Rhioui, E. Moreau and J.-C. Pesquet, “Quadratic higher-order criteria for iterative blind separation of a MIMO convolutive mixture of sources”, IEEE Trans. on Signal Processing, vol. 55, no 1, pp. 218-232, Jan. 2007.

[ACL33] E. Moreau, J.-C. Pesquet and N. Thirion-Moreau, “Convolutive blind signal separation based on asymmetrical contrast functions”, IEEE Trans. on Signal Processing, vol. 55, no 1, pp. 356-371, Jan. 2007.

[ACL34] A. Benazza-Benyahia, J.-C. Pesquet, J. Hattay and H. Masmoudi, “Block-based adaptive vector lifting schemes for multichannel image coding”, EURASIP International on Image and Video Processing, Article ID 13421, 10 pages, 2007.

[ACL35] C. Chaux, P. L. Combettes, J.-C. Pesquet and V. R. Wajs, “A variational formulation for frame based inverse problems”, Inverse Problems, vol. 23, pp. 1495-1518, Aug. 2007.

[ACL36] P. L. Combettes and J.-C. Pesquet, “Proximal thresholding algorithm for minimization over orthonormal bases”, SIAM Journal on Optimization, vol. 18, no 4, pp. 1351-1376, Nov. 2007.

[ACL37] C. Chaux, J.-C. Pesquet and L. Duval, “Noise covariance properties in dual-tree wavelet decompositions”, IEEE Transactions on Information Theory, vol. 53, no 12, pp. 4680-4700, Dec. 2007.

[ACL38] P. L. Combettes and J.-C. Pesquet, “A Douglas-Rachford splitting approach to nonsmooth convex variational signal recovery”, IEEE Journal of Selected Topics in Signal Processing, vol. 1, no 4, pp. 564-574, Dec. 2007.

[ACL39] C. Chaux, L. Duval, A. Benazza-Benyahia and J.-C. Pesquet “A nonlinear Stein based estimator for multichannel image denoising”, IEEE Trans. on Signal Processing, vol. 56, no 8, pp. 3855-3870, Aug. 2008.

[ACL40] P. L. Combettes and J.-C. Pesquet, “A proximal decomposition method for solving convex variational inverse problems”, Inverse Problems, vol. 24, 27 p., Dec. 2008.

[ACL41] W. Miled, J.-C. Pesquet and M. Parent, “A convex optimization approach for depth estimation under illumination variation”, IEEE Transactions on Image Processing, vol. 18, no 4, pp. 813-830, Apr. 2009.

[ACL42] C. Chaux, J.-C. Pesquet and N. Pustelnik, “Nested iterative algorithms for convex constrained image recovery problems”, SIAM Journal on Imaging Sciences, vol. 2, no 2, pp. 730-762, 2009.

[ACL43] A. Fraysse, B. Pesquet-Popescu and J.-C. Pesquet, “On the uniform quantization of a class of sparse sources”, IEEE Transactions on Information Theory, vol. 55, no 7, pp. 3243-3263, July 2009.

[ACL44] J. Gauthier, L. Duval and J.-C. Pesquet, “Optimization of synthesis oversampled complex filter banks”, IEEE Transactions on Signal Processing, vol. 57, no 10, pp. 3827-3843, Oct. 2009.

[ACL45] M. Kaaniche, A. Benazza-Benyahia, B. Pesquet-Popescu and J.-C. Pesquet, “Vector lifting schemes for stereo image coding”, IEEE Transactions on Image Processing, vol. 8, no 11, pp. 2463-2475, Nov. 2009.

[ACL46] J.-C. Pesquet, A. Benazza-Benyahia and C. Chaux, “A SURE approach for digital signal/image deconvolution problems”, IEEE Transactions on Signal Processing, vol. 57, no 12, pp. 4616-4632, Dec. 2009.

[ACL47] L. Chaâri, J.-C. Pesquet, J.-Y. Tourneret, Ph. Ciuciu and A. Benazza-Benyahia, “A hierarchical Bayesian model for frame representation”, IEEE Transactions on Signal Processing, vol. 58, no 11, pp. 5560 – 5571, Nov. 2010.

[ACL48] L. Chaâri, J.-C. Pesquet, A. Benazza-Benyahia and Ph. Ciuciu, “A wavelet-based regularized reconstruction algorithm for SENSE parallel MRI with applications to neuroimaging”, Medical Image Analysis, vol. 15, pp. 185-201, Apr. 2011.

[ACL49] L. M. Briceño-Arias, P. L. Combettes, J.-C. Pesquet and N. Pustelnik, “Proximal algorithms for multicomponent image recovery problems”, Journal of Mathematical Imaging and Vision, vol. 41, no. 1, pp. 3-22, Sep. 2011.

[ACL50] C. Chaux, A. Jezierska, J.-C. Pesquet and H. Talbot, “A spatial regularization approach for vector quantization”, Journal of Mathematical Imaging and Vision, vol. 41, no. 1, pp. 23-38, Sep. 2011.

[ACL51] N. Pustelnik, C. Chaux and J.-C. Pesquet, “Parallel Proximal Algorithm for image restoration using hybrid regularization”, IEEE Transactions on Image Processing, vol. 20, no. 9, pp. 2450 – 2462, Sep. 2011.

[ACL52] M. Kaaniche, A. Benazza-Benyahia, B. Pesquet-Popescu and J.-C. Pesquet, “Non separable lifting scheme with adaptive update step for still and stereo image coding”, Signal Processing, Special issue on Advances in Multirate Filter Bank Structures and Multiscale Representations, vol. 91, no. 12, pp. 2767-2782, Dec. 2011.

[ACL53] M. Kaaniche, A. Benazza-Benyahia, B. Pesquet-Popescu and J.-C. Pesquet, “Adaptive lifting scheme with sparse criteria for image coding,” Special issue on New Image and Video Representations Based on Sparsity, EURASIP Journal on Advances in Signal Processing, vol. 10, 22 p., Jan. 2012.

[ACL54] N. Pustelnik, J.-C. Pesquet and C. Chaux, “Relaxing tight frame condition in parallel proximal methods for signal restoration”, IEEE Transactions on Signal Processing, vol. 60, no. 2, pp. 968-973, Feb. 2012.

[ACL55] P. L. Combettes and J.-C. Pesquet, “Primal-dual splitting algorithm for solving inclusions with mixtures of composite, Lipschitzian, and parallel-sum type monotone operators”, Set-Valued and Variational Analysis, vol. 20, no. 2, pp. 307-330, June 2012.

[ACL56] J.-C. Pesquet and N. Pustelnik, “A parallel inertial proximal optimization method,” Pacific Journal of Optimization, vol. 8, no. 2, pp. 273-305, Apr. 2012.

[ACL57] E. Chouzenoux, A. Jezierska, J.-C. Pesquet and H. Talbot, “A Majorize-Minimize subspace approach for l2– l0 image regularization,” SIAM Journal on Imaging Sciences, vol. 6, no 1, pp. 563-591, 2013.

[ACL58] C. Couprie, L. Grady, L. Najman, J.-C. Pesquet and H. Talbot, “Dual constrained TV-based regularization on graphs,” SIAM Journal on Imaging Sciences, vol. 6, no 3, pp. 1246-1273, 2013.

[ACL59] C. Chaux, M. El-Gheche, J. Farah, J.-C. Pesquet and B. Pesquet-Popescu, “A parallel proximal splitting method for disparity estimation from multicomponent images under illumination variation,” Journal of Mathematical Imaging and Vision, vol. 47, no 3, pp. 167-178, Nov. 2013.

[ACL60] A. Jezierska, C. Chaux, J.-C. Pesquet, H. Talbot and G. Engler, “An EM approach for time-variant Poisson-Gaussian model parameter estimation,” IEEE Transactions on Signal Processing, vol. 62, no 1, pp. 17-30, Jan. 2014.

[ACL61] M. Kaaniche, A. Fraysse, B. Pesquet-Popescu and J.-C. Pesquet, “A bit allocation method for sparse source coding,” IEEE Transactions on Image Processing, vol. 23, no 1, pp. 137-152, Jan. 2014.

[ACL62] L. Chaari, Ph. Ciuciu, S. Mériaux and J.-C. Pesquet, “Spatio-temporal wavelet regularization for parallel MRI reconstruction: application to functional MRI,” Magnetic Resonance Materials in Physics, Biology and Medicine, vol. 27, no 6, pp. 509-529, Dec. 2014.

[ACL63] E. Chouzenoux, J.-C. Pesquet and A. Repetti, “Variable Metric Forward-Backward algorithm for minimizing the sum of a differentiable function and a convex function,” Journal of Optimization Theory and its Applications, vol. 162, no. 1, pp. 107-132, Jul. 2014.

[ACL64] M. Q. Pham, L. Duval, C. Chaux, and J.-C. Pesquet, “A primal-dual proximal algorithm for sparse template-based adaptive filtering: application to seismic multiple removal,” IEEE Transactions on Signal Processing, vol. 62, no 16, pp. 4256-4269, Aug. 2014.

[ACL65] A. Florescu, E. Chouzenoux, J.-C. Pesquet, Ph. Ciuciu, and S. Ciochina, “A Majorize-Minimize Memory Gradient method for complex-valued inverse problems,” Signal Processing, Special issue on Image Restoration and Enhancement: Recent Advances and Applications, vol. 103, pp. 285-295, Oct. 2014. Awarded by the Romanian Executive Agency for Higher Education, Research Development and Innovation.

[ACL66] G. Chierchia, N. Pustelnik, B. Pesquet-Popescu, and J.-C. Pesquet, “A Non-Local Structure Tensor based approach for multicomponent image recovery problems,” IEEE Transactions on Image Processing, vol. 23, no 12, pp. 5531 – 5544, Dec. 2014.

[ACL67] A. Repetti, M. Q. Pham, L. Duval, E. Chouzenoux, and J.-C. Pesquet, “Euclid in a taxicab: Sparse blind deconvolution with smoothed l1/ l2 regularization,” IEEE Signal Processing Letters, vol. 22, no 5, pp. 539-543, May 2015.

[ACL68] P. L. Combettes and J.-C. Pesquet, “Stochastic quasi-Fejer block-coordinate fixed point iterations with random sweeping,” SIAM Journal on Optimization, vol. 25, no 2, pp. 1221-1248, July 2015.

[ACL69] G. Chierchia, N. Pustelnik, J.-C. Pesquet, and B. Pesquet-Popescu, “Epigraphical splitting for solving constrained convex optimization problems with proximal tools,” invited paper, Signal, Image and Video Processing, vol. 9, no 8, pp. 1737-1749, Nov. 2015.

[ACL70] N. Komodakis and J.-C. Pesquet, “Playing with duality: An overview of recent primal-dual approaches for solving large-scale optimization problems,” IEEE Signal Processing Magazine, vol. 32, no 6, pp. 31-54, Nov. 2015.

[ACL71] A. Jezierska, E. Chouzenoux, J.-C. Pesquet, and H. Talbot, “A convex approach for image restoration with exact Poisson-Gaussian likelihood,” SIAM Journal on Imaging Sciences, vol. 8, no 4, pp. 2662-2682, 2015.

[ACL72] J.-C. Pesquet and A. Repetti, “A class of randomized primal-dual algorithms for distributed optimization,” Journal of Nonlinear and Convex Analysis, vol. 16, no 12, pp. 2453- 2490, Dec. 2015.

[ACL73] A. Pirayre, C. Couprie, L. Duval, F. Bidard, L. Duval, and J.-C. Pesquet, “BRANE cut : Biologically-related a priori network enhancement with graph cuts for gene regulatory network inference,” BMC Bioinformatics, vol. 16, Article ID 369, 12 pages, Dec. 2015.

[ACL74] P. L. Combettes and J.-C. Pesquet, “Stochastic approximations and perturbations in forward-backward splitting for monotone operators,” Pure and Applied Functional Analysis, vol. 1, no 1, pp. 13–37, Jan. 2016.

[ACL75] M. Pereyra, P. Schniter, E. Chouzenoux, J.-C. Pesquet, J.-Y. Tourneret, A. Hero, and S. McLaughlin, “A survey of stochastic simulation and optimization methods in signal processing,” IEEE Journal of Selected Topics in Signal Processing, Special issue on Stochastic Simulation and Optimisation in Signal Processing, vol. 10, no 2, pp. 224–241, Mar. 2016.

[ACL76] A. Onose, R. E. Carrillo, A. Repetti, J. D. McEwen, J.-P. Thiran, J.-C. Pesquet, and Y. Wiaux, “Scalable splitting algorithms for big-data interferometric imaging in the SKA era,” Mon. Not. R. Astron. Soc. (2016), vol. 462, no 4, pp. 4314–4335, Aug. 2016.

[ACL77] E. Chouzenoux and J.-C. Pesquet, “Convergence rate analysis of the Majorize-Minimize subspace algorithm,” IEEE Signal Processing Letters, vol. 23, no 9, pp. 1284–1288, Sep. 2016.

[ACL78] E. Chouzenoux, J.-C. Pesquet, and A. Repetti, “A Block Coordinate Variable Metric Forward-Backward algorithm,” Journal of Global Optimization, vol. 66, no 3, pp 457– 485, Nov. 2016.

[ACL79] E. Chouzenoux and J.-C. Pesquet, “A stochastic Majorize-Minimize subspace algorithm for online penalized least squares estimation,” IEEE Transactions on Signal Processing, vol. 64, no. 18, pp. 4770-4783, Sep. 2017.

[ACL80] F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.-H. Chenot, and L. Laborelli, “Dual block-coordinate forward-backward algorithm with application to deconvolution and deinterlacing of video sequences,” Journal of Mathematical Imaging and Vision, vol. 59, no 3, pp. 415-431, Nov. 2017.

[ACL81] Y. Marnissi, Y. Zheng, E. Chouzenoux, and J.-C. Pesquet, “A variational Bayesian approach for image restoration. Application to image deblurring with Poisson-Gaussian noise,” IEEE Transactions on Computational Imaging, vol. 3, no 4, pp. 722-737, Dec. 2017.

[ACL82] M. El Gheche, G. Chierchia, and J.-C. Pesquet, “Proximity operators of discrete information divergences,” IEEE Transactions on Information Theory, vol. 64, no 2, pp. 1092-1104, Feb. 2018.

[ACL83] Y. Marnissi, E. Chouzenoux, A. Benazza-Benyahia, and J.-C. Pesquet, “An auxiliary variable method for MCMC algorithms in high dimension,” Entropy, Special Issue on “Probabilistic Methods for Inverse Problems”, vol. 20, no 2, 32 p., Feb. 2018.

[ACL84] A. Pirayre, C. Couprie, L. Duval, and J.-C. Pesquet, “BRANE Clust : Cluster-assisted gene regulatory network inference refinement,” IEEE Transactions on Compu- tational Biology and Bioinformatics, vol. 15, no 3, pp. 850-860, May/June 2018.

[ACL85] F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.-H. Chenot, and L. Laborelli, “An alternating proximal approach for blind video deconvolution,” Signal Processing: Image Communication, vol. 70, pp. 21-36, Feb. 2019.

[ACL86] P. L. Combettes and J.-C. Pesquet, “Stochastic quasi-Fejér block-coordinate fixed point iterations with random sweeping II : Mean-square and linear convergence,” Mathematical Programming, vol. B174, no. 1, pp. 433-451, Apr. 2019.

[ACL87] M. Castella, J.-C. Pesquet, and A. Marmin, “Rational optimization for non-linear reconstruction with approximate l0 penalization,” IEEE Transactions on Signal Processing, vol. 67, no 6, pp. 1407-1417, Mar. 2019.

[ACL88] L. M. Briceno-Arias, G. Chierchia, E. Chouzenoux, and J.-C. Pesquet, “A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression,” Computational Optimization and Applications, vol. 72, no 3, pp. 707–726, Apr. 2019.

[ACL89] E. Chouzenoux, T. T.-K. Lau, C. Lefort, and J.-C. Pesquet, “Optimal multivariate Gaussian fitting with applications to PSF modeling in two-photon microscopy imaging,” Journal of Mathematical Imaging and Vision, vol. 61, no 7, pp. 1037–1050, Sep. 2019.

[ACL90] E. Chouzenoux, H. Gérard, and J.-C. Pesquet, “General risk measures for robust machine learning”, Foundations of Data Science, vol. 1, no 3, pp. 249–269, Sep. 2019.

[ACL91] M.-C. Corbineau, D. Kouamé, E. Chouzenoux, J.-Y. Tourneret, and J.-C. Pesquet, “Preconditioned P-ULA for joint deconvolution-segmentation of ultrasound images”, IEEE Signal Processing Letters, vol. 26, no 10, pp. 1456–1460, Oct. 2019.

[ACL92] C. Bertocchi, E. Chouzenoux, M.-C. Corbineau, J.-C. Pesquet, and M. Prato, “Deep unfolding of a proximal interior point method for image restoration”, Inverse Problems, Vol. 36, no 3, pp. 034005, Feb. 2020.

[ACL93] Y. Marnissi, E. Chouzenoux, A. Benazza-Benyahia and J.-C. Pesquet “Majorize-minimize adapted Metropolis-Hastings algorithm”, IEEE Transactions on Signal Processing, Vol. 68, no 3, pp. 2356-2369, Mar. 2020.

[ACL94] A. Benfenati, E. Chouzenoux, and J.-C. Pesquet, “Proximal approaches for matrix optimization problems : Application to robust precision matrix estimation”, vol. 169, Signal Processing, pp. 107417, Apr. 2020.

[ACL95] A. Marmin, A. Jezierska, M. Castella, and J.-C. Pesquet “Global optimization for recovery of clipped signals corrupted with Poisson-Gaussian noise”, IEEE Signal Processing Letters, vol. 27, pp. 970-974, May 2020.

[ACL96] P. L. Combettes and J.-C. Pesquet “Lipschitz certificates for layered network structures driven by averaged activation operators”, SIAM Journal on Mathematics of Data Science, vol. 2, no 2, pp. 529-557, June 2020.

[ACL97] E. Chouzenoux, M.-C. Corbineau, and J.-C. Pesquet, “A Proximal Interior Point Algorithm with applications to image processing”, Journal of Mathematical Imaging and Vision, vol. 62, pp. 919-940, Jul. 2020.

[ACL98] P. L. Combettes and J.-C. Pesquet, “Deep neural network structures solving variational inequalities”, Set-Valued and Variational Analysis, vol. 28, pp. 491-518, Sept. 2020.

[ACL99] A. Cherni, E. Chouzenoux, L. Duval, and J.-C. Pesquet, “SPOQ lp-over-lq regularization for sparse signal recovery applied to mass spectrometry”, IEEE Transactions on Signal Processing, vol. 68, pp. 6070-6084, Sept. 2020.

[ACL100] N. Lassau, S. Ammari, E. Chouzenoux, H. Gortais, P. Herent, M. De- vilder, S. Soliman, O. Meyrignac, M.-P. Talabard, J.-Ph. Lamarque, R. Dubois, N. Loiseau, P. Trichelair, E. Bendjebbar, G. Garcia, C. Balleyguier, M. Merad, A. Sto- clin, S. Jegou, F. Griscelli, N. Tetelboum, Y. Li, S. Verma, M. Terris, T. Dardouri, K. Gupta, A. Neacsu, F. Chemouni, M. Sefta, P. Jehanno, I. Bousaid, Y. Boursin, E. Planchet, M. Azoulay, J. Dachary, F. Brulport, A. Gonzalez, O. Dehaene, J.-B. Schiratti, K. Schutte, J.-C. Pesquet, H. Talbot, E. Pronier, G. Wainrib, T. Clozel, F. Barlesi, M.-F. Bellin, and M. Blum, “Integrating deep learning CT-scan model, biolo- gical and clinical variables to predict severity of COVID-19 patients”, Nature Communications, vol. 12, no 634, 11 p., Jan. 2021.

[ACL101] P. L. Combettes and J.-C. Pesquet, “Fixed point strategies in data science”, IEEE Transactions on Signal Processing, vol. 69, pp. 3878-3905, March 2021.

[ACL102] E. Chouzenoux, J.-C. Pesquet, C. Riddell, M. Savanier, and Y. Trousset, “Convergence of proximal gradient algorithm in the presence of adjoint mismatch”, Inverse Problems, vol. 37, no 6, pp. 065009, June 2021.

[ACL103] T. Hortholary, C. Carrion, E. Chouzenoux, J.-C. Pesquet, and C. Le-fort, “Multiplex-multiphoton microscopy and computational strategy for biomedical imaging”, Microscopy Research and Technique, vol. 84, no 7, pp. 1553-1562, July 2021.

[ACL104] J.-C. Pesquet, A. Repetti, M. Terris, and Y. Wiaux, “Learning maximally monotone operators for image recovery”, SIAM Journal on Imaging Sciences, vol. 14, no 3, pp. 1206–1237, Aug. 2021.

[ACL105] M. Savanier, C. Riddell, Y. Trousset, E. Chouzenoux, and J.-C. Pesquet, “Magnification-driven B-spline interpolation for cone beam projection and backprojection”, Medical Physics, vol. 48, no 10, pp. 6339-6361, Oct. 2021.

[ACL106] T. Dardouri, M. Kaaniche, A. Benazza-Benyahia, and J.-C. Pesquet, “Dynamic neural network for lossy-to-lossless image coding”, IEEE Transactions on Image Processing, vol. 31, pp. 569-584, Dec. 2021.

[ACL107] M. Sghaier, E. Chouzenoux, J.-C. Pesquet, and S. Muller, “A novel task-based reconstruction approach for digital breast tomosynthesis”, Medical Image Analysis, vol.77, pp. 102341, Apr. 2022.

[ACL108] M. Savanier, E. Chouzenoux, J.-C. Pesquet, and C. Riddell, “Unmatched preconditioning of the proximal gradient algorithm”, IEEE Signal Processing Letters, vol. 29, pp. 1122-1126, Apr. 2022.

[ACL109] K. Gupta, F. Kaakai, B. Pesquet-Popescu, J.-C. Pesquet, and F. D. Malliaros, “Multivariate Lipschitz analysis of the stability of neural networks”, Frontiers in Signal Processing, vol. 2, pp. 794469, Apr. 2022.

[ACL110] F. Abboud, M. Stamm, E. Chouzenoux, J.-C. Pesquet and H. Talbot, “Algorithms for scalable proximity operator computation and application to video denoising”, Digital Signal Processing, vol. 128, pp. 103610, Aug. 2022.

[ACL111] S. Verma , N. Henwood, M. Castella , Al K. Jebai, and J.-C. Pesquet, “Neural speed–torque estimator for induction motors in the presence of measurement noise”, to appear in IEEE Transactions on Industrial Electronics.

[ACL112] E. Chouzenoux, S. Martin, and J.-C. Pesquet, “A local MM subspace method for solving constrained variational problems in image recovery”, to appear in Journal of Mathematical Imaging and Vision.

[ACL113] W. Tang, E. Chouzenoux, J.-C. Pesquet, and H. Krim, “Deep transform and metric learning network: Wedding deep dictionary learning and neural network” to appear in Neurocomputing.

[ACL114] E. Chouzenoux, S. Martin, and J.-C. Pesquet, “A local MM subspace method for solving constrained variational problems in image recovery”, vol. 65, pp. 253-276, Journal of Mathematical Imaging and Vision, Apr. 2023.

[ACL115] E. Chouzenoux, A. Contreras, J.-C. Pesquet, and M. Savanier, “Convergence results for primal-dual algorithms in the presence of adjoint mismatch”, vol. 16, no 1, pp. 1-34, SIAM Journal on Imaging Sciences, 2023.

[ACL116] M. Savanier, E. Chouzenoux, J.-C. Pesquet, and C. Riddell, “Deep Unfolding with Application to ROI CT Imaging with Limited Angular Density”, accepted for publication in Transactions on Computational Imaging.

Scientific popularization papers:

[V1] H. Krim and J.-C. Pesquet, “Multiresolution analysis” in Highlights of statistical signal and array processing, A. Hero editor, IEEE Signal Processing Magazine, vol. 5, pp. 21-64, Sep. 1998.

[V2] B. Pesquet-Popescu et J.-C. Pesquet, “Ondelettes et applications”, dans Techniques de l’Ingénieur, traité Télécoms, TE 5215, 27 p., Août 2001.

Invited conferences with proceedings:

[INV1] J.-C. Pesquet, “Problèmes statistiques liés à l’utilisation des décomposition en paquets d’ondelettes”, Proc. GERSI, Cergy-Pontoise, France, 2 Févr., 1995.

[INV2] J.-C. Pesquet et P. L. Combettes, “Synthèse ensembliste d’ondelettes”, Colloque Temps-fréquence, ondelettes et multirésolution, Lyon, France, pp. 14.1-14.10, 9-11 Mars, 1994.

[INV3] J.-C. Pesquet, “An empirical wavelet estimator for image denoising”, Proc. ASILOMAR Conf., Pacific Grove, CA, USA, pp. I.91-I.94, Nov. 2-5, 1997.

[INV4] H. Krim, J.-C. Pesquet and I. C. Schick, “Parsimony and wavelet methods for denoising”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 1998), Seattle, USA, pp. III.1869-III.1872, May 12-15, 1998.

[INV5] D. Leporini and J.-C. Pesquet, “Multiscale regularisation in Besov spaces”, Proc. ASILOMAR Conf., Pacific Grove, CA, USA, pp. 723-726, Nov. 1-4, 1998.

[INV6] B. Pesquet-Popescu and J.-C. Pesquet, “Bidimensional α-stable models with long-range dependence”, IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP 1999), Antalya, Turkey, p. 199-203, June 20-23, 1999.

[INV7] B. Pesquet-Popescu and J.-C. Pesquet, “Joint singular value decomposition – a new tool for separable representation of images”, IEEE International Conference on Image Processing (ICIP 2001), Thessaloniki, Greece, pp. 569 -572, vol. 2, Oct. 7-10, 2001.

[INV8] J. Hattay, A. Benazza-Benyahia and J.-C. Pesquet, “Adaptive lifting schemes using variable-size block segmentation”, Advanced Concepts for Intelligent Vision Systems (ACIVS 2004), Brussels, Belgium, pp. 311-318, 31 Aug.-3 Sep., 2004.

[INV9] T. Petrisor, C. Tillier, B. Pesquet-Popescu and J. C. Pesquet, “Redundant multiresolution analysis for multiple description video coding”, IEEE 6th Workshop on Multimedia Signal Processing (MMSP 2004), pp. 95-98, Sienna, Italy, Sep. 29 – Oct. 1, 2004.

[INV10] T. Petrisor, C. Tillier, B. Pesquet-Popescu and J. C. Pesquet, “Comparison of redundant wavelet schemes for multiple description coding of video sequences”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), pp. 913-916, Phildelphia, PA, Mar. 18-23, 2005.

[INV11] C. Chaux, A. Benazza-Benyahia and J.-C. Pesquet, “A block-thresholding method for multispectral image denoising”, SPIE (Society of Photo-Optical Instrumentation Engineers) Conference, vol. 5914, pp. 1H-1 – 1H-13, San Diego, CA, USA, 31 Jul.-3 Aug., 2005.

[INV12] C. Chaux, A. Benazza-Benyahia and J.-C. Pesquet, “Use of Stein’s principle for multichannel image denoising”, IEEE-EURASIP International Symposium on Control, Communications, and Signal Processing (ISCCSP 2006), 6 p., Marrakech, Morocco, 13-15 March, 2006.

[INV13] H. H. Bauschke, P. L. Combettes and J.-C. Pesquet, “A decomposition method for nonsmooth convex variational signal recovery”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), pp. 889-992, Toulouse, France, May 15-19, 2006.

[INV14] A. Benazza-Benyahia, J.-C. Pesquet and C. Chaux, “Image denoising in the wavelet transform domain Based on Stein’s principle”, 1st IEEE international Workshop on Image Processing Theory, Tools and Applications (IPTA 2008), 9 p., Sousse, Tunisia, Nov. 23-26, 2008.

[INV15] L. Chaâri, N. Pustelnik, C. Chaux and J.-C. Pesquet, “Solving inverse problems with overcomplete transforms and convex optimization techniques”, SPIE, Wavelets XIII, vol. 7446, 14 p., San Diego, CA, USA, Aug. 2-6, 2009.

[INV16] N. Pustelnik, C. Chaux and J.-C. Pesquet, “Hybrid regularization for data restoration in the presence of Poisson noise”, European Signal and Image Processing Conference (EUSIPCO 2009), 5 p., Glasgow, Scotland, Aug. 24-28, 2009.

[INV17] A. Marin, C. Chaux, J.-C. Pesquet and Ph. Ciuciu, “Image reconstruction from multiple sensors using Stein’s principle. Application to parallel MRI”, IEEE International Symposium on Biomedical Imaging (ISBI 2011), pp. 465-468, Chicago, USA, Mar 30-Avr. 2, 2011.

[INV18] M. El Gheche, A. Jezierska, J.-C. Pesquet and J. Farah, “A proximal approach for signal recovery based on information measures”, European Signal and Image Processing Conference (EUSIPCO 2013), 5 p., Marrakech, Morocco, Sep. 9-13, 2013.

[INV19] A. Repetti, E. Chouzenoux and J.-C. Pesquet, “A preconditioned forward-backward approach with application to large-scale nonconvex spectral unmixing problems”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pp. 1498-1502, Florence, Italy, May 4-9, 2014.

[INV20] M. Q. Pham, C. Chaux, L. Duval and J.-C. Pesquet, “A constrained-based optimization approach for seismic data recovery problems”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pp. 2377-2381, Florence, Italy, May 4-9, 2014.

[INV21] E. Chouzenoux, J.-C. Pesquet and A. Florescu, “A multi-parameter optimization approach for complex continuous sparse modelling”, 19th International Conference on Digital Signal Processing (DSP 2014), pp. 817-820, Hong-Kong, Chine, Aug. 20-23, 2014.

[INV22] E. Chouzenoux, J.-C. Pesquet and A. Florescu, “A stochastic 3MG algorithm with application to 2D filter identification”, European Signal and Image Processing Conference (EUSIPCO 2014), pp. 1587-1591, Lisbon, Portugal, Sep. 1-5, 2014.

[INV23] A. Jezierska, J.-C. Pesquet, H. Talbot and C. Chaux, “Iterative Poisson-Gaussian noise parametric estimation for blind image denoising”, IEEE International Conference on Image Processing (ICIP 2014), pp. 2819 – 2823, Paris, France, 27-30 Oct., 2014.

[INV24] A. Repetti, E. Chouzenoux and J.-C. Pesquet, “Proximal primal-dual optimization methods”, International Biomedical and Astronomical Signal Processing Frontiers workshop (BASP 2015), pp. 25, Villars-sur-Ollon, Switzerland, Jan. 25-30, 2015.

[INV25] A. Repetti, E. Chouzenoux and J.-C. Pesquet, “A parallel-block coordinate approach for primal-dual splitting with arbitrary random block selection”, European Signal and Image Processing Conference (EUSIPCO 2015), pp. 235-239, Nice, France, Sep. 1-5, 2015.

[INV26] A. Repetti, E. Chouzenoux and J.-C. Pesquet, “Un petit tutoriel sur les méthodes primales-duales proximales pour l’optimisation convexe”, 5 p., 25ème Colloque GRETSI, Lyon, France, 8-11 Sep., 2015.

[INV27] F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.- H. Chenot and L. Laborelli, “A distributed strategy for computing proximity operators”, Proc. ASILOMAR Conf., Pacific Grove, CA, USA, 5 p., Nov. 8-11, 2015.

[INV28] L. Wang, L. Albera, L. Senhadji and J.-C. Pesquet, “An Alternating Direction Method of Multipliers for constrained joint diagonalization by congruence”, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015), Cancun, Mexico, pp. 197-200, Dec. 13-16, 2015.

[INV29] M. Castella and J.-C. Pesquet, “Optimization of a Geman-McClure like criterion for sparse signal deconvolution”, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2015), Cancun, Mexico, pp. 309-312, Dec. 13-16, 2015.

[INV30] P. L. Combettes and J.-C. Pesquet, “Stochastic forward-backward and primaldual approximation algorithms with application to online image restoration”, European Signal and Image Processing Conference (EUSIPCO 2016), p.1813-1817, Budapest, Hungary, 9 Aug.- 2 Sept., 2016.

[INV31] A. Benfenati, E. Chouzenoux and J.-C. Pesquet, “A proximal approach for solving matrix optimization problems Involving a Bregman divergence”, International Biomedical and Astronomical Signal Processing Frontiers workshop (BASP 2017), 1 p., Villars-sur-Ollon, Switzerland, 29 Jan.-3 Feb. , 2017. Best paper award

[INV32] S. Cadoni, E. Chouzenoux, J.-C. Pesquet and C. Chaux, “A Block Parallel Majorize-Minimize Memory Gradient algorithm”, International Biomedical and Astronomical Signal Processing Frontiers workshop (BASP 2017), 1 p., Villars-sur-Ollon, Switzerland, 29 Jan.-3 Feb. , 2017.

[INV33] G. Chierchia, A. Cherni, E. Chouzenoux, et J.-C. Pesquet, “Approche de Douglas-Rachford aleatoire par blocs appliquee a la regression logistique parcimonieuse”, 5 p., 26_eme Colloque GRETSI, Juan les Pins, France, 5-8 Sep., 2017.

[INV34] M.-C. Corbineau, E. Chouzenoux, and J.-C. Pesquet, “Geometry-texture decomposition / reconstruction using a proximal interior point algorithm”, pp. 435-439, IEEE Sensor Array and Multichannel Signal Processing Workshop (SAM 2018), Sheffield, UK, 8-11 July 2018.

[INV35] P. L. Combettes and J.-C. Pesquet, “Linear convergence of stochastic block-coordinate fixed point algorithms”, European Signal and Image Processing Conference (EU-SIPCO 2018), pp. 747-751, Rome, Italy, 3-7 Sept., 2018.

[INV36] Y. Marnissi, E. Chouzenoux, A. Benazza-Benyahia, and J.-C. Pesquet, “MM adapted MH methods”, International Biomedical and Astronomical Signal Processing Frontiers workshop (BASP 2019), p. 80, Villars-sur-Ollon, Switzerland, 3-8 Feb., 2019.

[INV37] L. El Gueddari, E. Chouzenoux, A. Vignaud, J.-C. Pesquet, and P. Ciuciu, “Online MR image reconstruction for compressed sensing acquisition in T2* imaging”, in SPIE Conference – Wavelets and Sparsity XVIII, vol. 11138, 15 p., San Diego, US, 13-15 Aug., 2019.

[INV38] A. Marmin, M. Castella, and J.-C. Pesquet, “Detecting the rank of a symmetric tensor”, European Signal and Image Processing Conference (EUSIPCO 2019), pp. 320-324, A Coruna, Spain, 2-6 Sept., 2019.

[INV39] C. Lefort, E. Chouzenoux, L. Magnol, H. Massias, and J.-C. Pesquet, “Multi-parametric 3D-point- spread function estimation in deep multiphoton microscopy with an original computational strategy dedicated to the reconstruction of muscle images”. Proc. SPIE 11354, Optical Sensing and Detection VI, 8 p., vol. 11354, 6 Apr., 2020.

[INV40] M. Terris, A. Repetti, J.-C. Pesquet, and Y. Wiaux, “Building firmly nonexpansive convolutional neural networks”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), pp. 8658-8662, Barcelona, Spain, 4-8 May, 2020.

[INV41] A. Marmin, M. Castella, and J.-C. Pesquet, “Robust reconstruction with nonconvex subset constraints: a polynomial optimization approach”, IEEE International Work- shop on Machine Learning for Signal Processing (MLSP 2020), 6 p., Espoo, Finland, 21–24 Sept. 2020.

[INV42] M. Galinier, M. Prato, E. Chouzenoux and J. -C. Pesquet, “A hybrid interior point – deep learning approach for Poisson image deblurring”, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2020), 6 p., Espoo, Finland, 21–24 Sept.
2020.

[INV43] T. Dardouri, M. Kaaniche, A. Benazza-Benyahia and J.-C. Pesquet, “Optimized lifting scheme based on a dynamical fully connected network for image coding”, IEEE International Conference on Image Processing (ICIP 2020), pp. 3329-3333, Abu Dhabi, United Arab Emirates, 25-28 Oct., 2020.

[INV44] K. Gupta, B. Pesquet-Popescu, F. Kaakai, J.-C. Pesquet and F. Malliaros, “An adversarial attacker for neural networks in regression problems”, Workshop on Artificial Intelligence Safety (AISafety), International Joint Conferences on Artificial Intelligence Organization (IJCAI 2021), 8 p., Virtual, Canada, 19–20 August 19-20, 2021. Runner Up Best Paper Award

[INV45] A. Repetti, M. Terris, Y. Wiaux and J.-C. Pesquet, “Dual forward-backward unfolded network for flexible plug-and-play”, European Signal and Image Processing Conference (EUSIPCO 2022), pp. 957–961, Belgrade, Serbia, 29 Aug.–2 Sept., 2022.

Peer-reviewed conferences with proceedings:

[ACT1] J.-C. Pesquet and G. Tziritas, “Adaptive methods applied to intra and interframe predictive coding”, Visual Communications and Image processing, SPIE, Boston, USA, pp. 424-431, Nov., 1988.

[ACT2] G. Tziritas and J.-C. Pesquet, “A hybrid image coder : adaptive intra-interframe prediction using motion compensation”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1989), Glasgow, UK, pp. 1878-1881, May, 1989.

[ACT3] J.C. Pesquet, G. Tziritas and O. Macchi, “Modified LMS algorithms for robust ADPCM”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1990), Albuquerque, USA, pp. 1405-1408, Apr., 1990.

[ACT4] J.C. Pesquet, O. Macchi and G. Tziritas, “Second-order statistical analysis of two-constrained LMS algorithms”, European Signal and Image Processing Conference (EUSIPCO 1990), Barcelona, Spain, pp. 193-196, Sep., 1990.

[ACT5] J.-C. Pesquet, “Orthonormal wavelets for finite sequences”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1992), San Francisco, USA, pp. 609-612, Mar. 23-26, 1992.

[ACT6] J.-C. Pesquet,“Optimization of multiresolution analysis for finite sequences”, European Signal and Image Processing Conference (EUSIPCO 1992), Brussels, Belgium, pp. 859-862, Aug. 24-27, 1992.

[ACT7] H. Krim, K. Drouiche and J.C. Pesquet, “Multiscale detection of nonstationary signals”, Proc. IEEE International Symposium on Time-Frequency and Time-Scale Analysis (TFTS 1992), Victoria, Canada, pp. 105-108, Oct. 4-6, 1992.

[ACT8] H. Krim, J.C. Pesquet and K. Drouiche, “Tracking nonstationarities with a wavelet transform”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1993), Mineapolis, USA, pp. I.245-I.248, Apr. 27-30, 1993.

[ACT9] I. Dologlou, J.-C. Pesquet et G. Carayannis, “Analyse multidimensionnelle à l’aide d’un nouveau modèle multicanal et d’un algorithme de projections successives”, Actes du colloque GRETSI, Juan-les-Pins, France, pp. 61-64, 13-16 Sep. 1993.

[ACT10] J.-C. Pesquet, H. Krim, H. Carfantan and J.G. Proakis, “Estimation of noisy signals using time-invariant wavelet packets”, Proc. ASILOMAR Conf., Monterey, CA, USA, pp. 31-34, Nov. 1993.

[ACT11] J.-C. Pesquet and H. Krim, “Time-varying filter banks for the analysis of PC processes”, European Signal and Image Processing Conference (EUSIPCO 1994), Edinburgh, UK, pp. 1571-1574, Sep. 13-16, 1994.

[ACT12] H. Krim, J.-C. Pesquet and A. S. Willsky, “Robust multiscale representation of processes and optimal signal reconstruction”, Proc. IEEE International Symposium on Time-Frequency and Time-Scale Analysis (TFTS 1994), Philadelphia, USA, pp. 1-4, Oct. 25-28, 1994.

[ACT13] E. Ademovic, G. Charbonneau and J.-C. Pesquet, “Segmentation of infant respiratory sounds with Malvar’s wavelets”, IEEE EMBS Workshop on Wavelets in Medicine and Biology, Baltimore, USA, Nov. 1-2, 1994.

[ACT14] E. Ademovic, J.-C. Pesquet, G. Charbonneau, P. Attal and S. Bobin, “Application of Malvar’s wavelets to laryngo-tracheal sounds analysis”, 3rd European Conference on Engineering and Medicine, p. 74, Florence, Italy, Apr. 30-May 3, 1995.

[ACT15] J.-C. Pesquet, “M-band wavelet decomposition of second order random processes”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1995), Detroit, USA, pp. 1545-1548, May 9-12, 1995.

[ACT16] E. Ademovic, J.-C. Pesquet, P. Attal and G. Charbonneau, “Time-frequency classification of infantile laryngo-tracheal Sounds”, UK Symposium on Application of Time-Frequency and Time-Scale methods, Coventry, UK, pp. 287-293, Aug. 31-Sep. 1, 1995.

[ACT17] F.J. Hampson and J.-C. Pesquet, “Codage morphologique multirésolution des erreurs de compensation de mouvement”, Actes du Colloque GRETSI, Juan-les-Pins, France, pp. 789-792, 18-21 Septembre 1995.

[ACT18] E. Ademovic, G. Charbonneau and J.-C. Pesquet, “Wheezing lung sounds analysis with adaptive local trigonometric transform”. First CORSA WP III Symposium on Signal Processing in Lung Sound Analysis, Helsinki University of Technology, Finland, June 3, 1995.

[ACT19] F.J. Hampson and J.-C. Pesquet, “A grey scale morphological approach to displaced frame difference coding”, IEEE International Conference on Image Processing (ICIP 1995), Washington, USA, pp. 522-525, Oct. 23-26, 1995.

[ACT20] J.-C. Pesquet, H. Krim, D. Leporini and E. Hamman, “Bayesian approach to best basis selection”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1996), Atlanta, Georgia, USA, pp. V.2634-V.2637, May 7-9, 1996.

[ACT21] F. J. Hampson and J.-C. Pesquet, “A nonlinear subband decomposition with perfect reconstruction”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1996), Atlanta, Georgia, USA, pp. III.1523-III.1526, May 7-9, 1996.

[ACT22] D. Brooks, H. Krim, J-C. Pesquet and R. Mc Leod, “Best basis segmentation of ECG signals using novel optimality criteria”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1996), Atlanta, Georgia, USA, pp. V.2750-V.2753, May 7-9, 1996.

[ACT23] E. Ademovic, G. Charbonneau and J.-C. Pesquet, “Time-Scale segmentation of respiratory sounds”, 2nd CORSA WP III Symposium on Signal Processing in Lung Sound Analysis, Helsinki University of Technology, Finland, June 8-9, 1996.

[ACT24] P. L. Combettes and J.-C. Pesquet, “Convex multiresolution analysis”, Proceedings of IEEE Symposium on Time-Frequency and Time-Scale Analysis (TFTS 1996), Paris, France, pp. 301-304, June 18-21, 1996.

[ACT25] L. Pesu, P. Helistö, E. Ademovic and J.-C. Pesquet, “Wavelet packet based respiratory sound classification”, Proceedings of IEEE Symposium on Time-Frequency and Time-Scale Analysis (TFTS 1996), Paris, France, pp. 377-380, June 18-21, 1996.

[ACT26] E. Moreau and J.-C. Pesquet, “New criteria for blind inversion of multichannel mixtures”, Proceedings of IEEE/IMACS Multiconf. on Computational Engineering in Systems Applications, Symposium on Modelling, Analysis and Simulation, Lille, France, vol. 1, pp. 460-464, July 9-12, 1996.

[ACT27] E. Ademovic, J.-C. Pesquet and G. Charbonneau, “Double tree segmentation of lung sounds”, European Signal and Image Processing Conference (EUSIPCO 1996), Trieste, Italy, pp. 391-394, Sep. 10-13, 1996.

[ACT28] F.J. Hampson, R.E.H. Franich, J.-C. Pesquet and J. Biemond, “Pel-recursive motion estimation in the presence of illumination variations”, IEEE International Conference on Image Processing (ICIP 1996), Lausanne, Switzerland, vol. I, pp. 101-104, Sep. 16-19, 1996.

[ACT29] E. Moreau and J.-C. Pesquet, “Independence/decorrelation measures with application to optimized orthonormal representations”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 1997), Munich, Germany, pp. 3425-3428, Apr. 21-24, 1997.

[ACT30] J.-C. Pesquet and D. Leporini, “A new wavelet estimator for image denoising”, IEE Sixth International Conference on Image Processing and its Applications, Dublin, Ireland, vol. 1, pp. 249-253, July 14-17, 1997.

[ACT31] D. Leporini and J.-C. Pesquet, “Higher-order properties of M-band wavelet packet decompositions”, IEEE Signal Processing Workshop on Higher-Order Statistics, Banff, Alberta, Canada, pp. 430-433, July 21-23, 1997.

[ACT32] A. Benazza, F. Hampson and J.-C. Pesquet, “Progressive and lossless image coding using rank order filters”, IASTED International Conference on Signal Processing and Communications, Canary Islands, pp. 341-344, Feb. 11-14, 1998.

[ACT33] B. Pouye, A. Benazza-Benyahia, I. Pollak, J.-C. Pesquet and H. Krim, “Nonlinear frame-like decompositions”, European Signal and Image Processing Conference (EUSIPCO 1998), Island of Rhodes, Greece, pp. 1393-1396, Sep. 8-11, 1998.

[ACT34] D. Leporini and J.-C. Pesquet, “Wavelet thresholding for a wide class of noise distributions”, European Signal and Image Processing Conference (EUSIPCO 1998), Island of Rhodes, Greece, pp. 993-996, Sep. 8-11, 1998.

[ACT35] P.L. Combettes and J.-C. Pesquet, “Nonlinear multiresolution image analysis”, IEEE International Conference on Image Processing (ICIP 1998), Chicago, Illinois, 4 p., Oct. 4-7, 1998.

[ACT36] D. Leporini and J.-C. Pesquet, “Multiscale regularization in Besov spaces”, Thirty-Second Asilomar Conference on Signals, Systems and Computers, vol.1, pp. 723-726, 1-4 Nov. 1998.

[ACT37] E. Moreau, J.-C. Pesquet and N. Thirion-Moreau, “An equivalence between non symmetrical contrasts and cumulant matching for blind signal separation”, International Workshop on Independent Component Analysis and Signal Separation, Aussois, France, pp. 301-306, Jan. 11-15, 1999.

[ACT38] A. Benazza-Benyahia and J.-C. Pesquet, “Progressive and lossless image coding using optimized nonlinear subband decompositions”, IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP 1999), Antalya, Turkey, pp. 761-765, June 20-23, 1999.

[ACT39] J.-C. Pesquet et E. Moreau, “Crit`eres d’ind ́ependance g ́en ́eralis ́es pour un m ́elange lin ́eaire de composantes ind ́ependantes”, XXXI`eme Journ ́ees de Statistiques, Grenoble, France, Mai 17-21, pp. 63-65, 1999.

[ACT40] D. Leporini et J.-C. Pesquet, “Régression en ondelettes de signaux vectoriels”, XXXIème Journées de Statistiques, Grenoble, France, Mai 17-21, pp. 249-251, 1999.

[ACT41] A. Benazza-Benyahia, J-. C. Pesquet et B. Pouye, “Bancs de filtres à 3 canaux et analyse échelle-espace non linéaire”, 17ème Colloque GRETSI, Vannes, France, pp. 925-928, 13-17 septembre 1999.

[ACT42] A. Benazza-Benyahia and J.-C. Pesquet, “A unifying framework for lossless and progressive image coding,” International Symposium on Image/Video Communications over Fixed and Mobile Networks, vol. 3, pp. 333-341, Rabat, Morocco, April 17-20, 2000.

[ACT43] A. Benazza-Benyahia, Z. Belhadj, J-. C. Pesquet and M. Hamdi, “Reversible and progressive coding of multispectral SPOT Images,” Proc. IEEE 2000 International Geoscience and Remote Sensing Symposium (IGARSS 2000), vol.2, pp. 582-584, Hawaii, USA, July 24-28, 2000.

[ACT44] A. Benazza-Benyahia, J.-C. Pesquet and A. Amara, “Improved Lossless Coders for Image Compression,” 16th International Mathematics and Computers in Simulation, IMACS World Congress, 6 p., Lausanne, Switzerland, August 21-25, 2000.

[ACT45] A. Benazza-Benyahia, J.-C. Pesquet and A. Amara, “Nonlinear bank filters adapted for progressive and exact image reconstruction,” European Signal and Image Processing Conference (EUSIPCO 2000), 4 p., Tampere, Finland, Sep. 5-8, 2000.

[ACT46] J.-C. Pesquet, B. Chen and A.P. Petropulu, “Frequency-domain contrast functions for separation of convolutive mixtures”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2001) vol. 5, pp. 2765-2768, Salt Lake City, UT, USA, May 7-11, 2001.

[ACT47] X. Yang, A.P. Petropulu and J.-C. Pesquet, “Estimating long-range dependence in impulsive traffic flows”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2001) vol. 6, pp. 3413-3416, Salt Lake City, UT, USA, May 7-11, 2001.

[ACT48] A. Benazza-Benyahia, J.-C. Pesquet and M. Hamdi, “Lossless coding for progressive archival of multispectral images,” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2001), vol. 3, pp. 1817-1820, Salt-Lake City, UT, USA, May 7-11, 2001.

[ACT49] A. Benazza-Benyahia, M. Hamdi and J.-C. Pesquet, “Efficient lossless and progressive compression scheme for multispectral images,” Mathematics of Data/Image Coding, Compression and Encryption IV, with Applications, SPIE Conference, Mark S. Schmalz Ed., vol. 4475, pp. 161-171, San Diego, California, USA, August 2001.

[ACT50] A. Benazza-Benyahia, J.-C. Pesquet and M. Hamdi, “An improved compression scheme compression dedicated tmultispectral images telebrowsing”, Journées d’études et d’échanges Compression et Représentation des signaux audiovisuels (CORESA 2001), pp. 164-167, Dijon, France, 12-13 November 2001.

[ACT51] A. Benazza-Benyahia, J.-C. Pesquet and N. Azzabou, “A new interband multiwavelet decomposition for exact coding of multicomponent images”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2002), pp. 3521-3524, Orlando, FL, USA, vol. 4, 13-17 May 2002.

[ACT52] J.-C. Pesquet, E. Moreau, E and N. Thirion-Moreau, “Performance analysis of blind signal separation methods based on asymmetric contrast functions” IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2002), pp. 1689-1692, Orlando, FL, USA, vol. 4, 13-17 May 2002.

[ACT53] A. Benazza-Benyahia, J.-C. Pesquet and H. Masmoudi, “Vector-lifting scheme for lossless compression of quincunx sampled multispectral images”, IEEE 2002 International Geoscience and Remote Sensing Symposium (IGARSS 2002), 3 p., Toronto, Canada, June 24-28, 2002.

[ACT54] A. Benazza-Benyahia and J.-C. Pesquet, “Vector-lifting schemes based on sorting techniques for lossless compression of multispectral images”, Mathematics of Data/Image Coding, Compression and Encryption IV, with Applications SPIE Conference, vol. 4793, pp. 42-51, Seattle, WA, USA, July 7-11, 2002.

[ACT55] A. Benazza-Benyahia and J.-C. Pesquet, “A block-based predictive lossless coder for quincunx multispectral images”, European Signal and Image Processing Conference (EUSIPCO 2002), pp. 518-521, Toulouse, France, September 3-6, 2002.

[ACT56] M. Castella, J.-C. Pesquet and A.P. Petropulu, “New contrasts for blind separation of non iid sources in the convolutive case”, European Signal and Image Processing Conference (EUSIPCO 2002), pp. 107-110, Toulouse, France, September 3-6, 2002.

[ACT57] S. Touati and J.-C. Pesquet, “Wavelet-thresholding for bispectrum estimation”, European Signal and Image Processing Conference (EUSIPCO 2002), pp. 107-110, Toulouse, France, pp. 133-136, September 3-6, 2002.

[ACT58] S. Touati and J.-C. Pesquet, “Wavelet estimation of cyclospectra”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2003), pp. 289-292, Hong Kong, vol. 6, April 6-10, 2003.

[ACT59] A. Benazza-Benyahia and J.-C. Pesquet, “Wavelet-based multispectral image denoising with Bernouilli-Gaussian models”, IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP 2003), 4 p., Grado, Italy, June 8-11, 2003.

[ACT60] S. Touati and J.-C. Pesquet, “A nonlinear estimate of cyclic frequency”, IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP 2003), 4 p., Grado, Italy, June 8-11, 2003.

[ACT61] M. Castella and J.-C. Pesquet, “Source separation of a class of nonlinear time series”, IEEE-EURASIP Workshop on Nonlinear Signal and Image Processing (NSIP 2003), 4 p., Grado, Italy, June 8-11, 2003.

[ACT62] P. L. Combettes and J. -C. Pesquet, “Image deconvolution with total variation bounds”, Proc. of the Seventh International Symposium on Signal Processing and Its Applications (ISSPA 2003), vol. 1, pp. 441-444, Paris, France, July 1-4, 2003.

[ACT63] A. Benazza-Benyahia, J.-C. Pesquet and M.H. Gharbia, “Adapted vector-lifting schemes for multiband textured image coding,” IEEE 2003 International Geoscience and Remote Sensing Symposium (IGARSS 2003), pp. 1833-1835, Toulouse, France, July 21-25, 2003.

[ACT64] M. Castella, A. Chevreuil and J.-C. Pesquet, “Séparation aveugle d’un mélange convolutif de sources non linéaires par une approche hiérarchique”, 19ème Colloque GRETSI, pp. 113-116, Paris, France, 8-11 Sep., 2003.

[ACT65] A. Benazza-Benyahia, J.-C. Pesquet and H. Masmoudi, “Block-based adaptive lifting schemes for lossless and progressive image coding”, Third International workshop on Spectral Methods and Multirate Signal (SMMSP 2003), pp. 207-211, Barcelona, Spain, Sep., 2003.

[ACT66] P. L. Combettes and J. -C. Pesquet, “Incorporating total variation information in image recovery”, IEEE International Conference on Image Processing (ICIP 2003), vol. 3, pp. 373 -376, Barcelona, Spain, September 14-17, 2003.

[ACT67] A. Benazza-Benyahia, J.-C. Pesquet and H. Masmoudi, “Block-based adaptive lifting schemes for multiband image compression,” Wavelet Applications in Industrial Processing, Symposium Photonics East 2003, SPIE Conference, vol. 5266, pp. 118-128, Providence, Rhode Island, USA, Oct. 27-31, 2003.

[ACT68] M. Castella, E. Moreau and J.-C. Pesquet, “A quadratic MISO contrast for blind equalization”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2004), pp. 681-684, Montréal, Canada, May 17-21, 2004.

[ACT69] P. L. Combettes and J.-C. Pesquet, “Constraint construction in convex set theoretic signal recovert via Stein’s principle”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2004), pp. 813-816, Montréal, Canada, May 17-21, 2004.

[ACT70] A. Benazza-Benyahia and J.-C. Pesquet, “An extended SURE approach for multicomponent image denoising”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2004), pp. 945-948, Montréal, Canada, 17-21 May 2004.

[ACT71] A. Benazza-Benyahia and J.-C. Pesquet, “An interscale multivariate MAP estimation of multispectral images”, European Signal and Image Processing Conference, (EUSIPCO 2004), 4 p., Vienna, Austria, Sep. 6-10, 2004.

[ACT72] M. Castella, P. Bianchi, A. Chevreuil and J.-C. Pesquet, “Blind MIMO detection of convolutively mixed CPM sources”, European Signal and Image Processing Conference (EUSIPCO 04), 4 p., Vienna, Austria, Sep. 6-10, 2004.

[ACT73] C. Chaux and L. Duval and J.-C. Pesquet, “Hilbert Pairs of M-band Orthonormal Wavelet Bases”, European Signal and Image Processing Conference (EUSIPCO 04), 4 p., Vienna, Austria, Sep. 6-10, 2004.

[ACT74] M. Castella and J.-C. Pesquet, “An iterative blind source separation method for convolutive mixtures of images”, International Conference on Independent Component Analysis (ICA 2004), pp.922-929, Granada, Spain, Sep. 22-24, 2004.

[ACT75] P. L. Combettes and J. C. Pesquet, “Estimating first-order finite-difference information in image restoration problems”, IEEE International Conference on Image Processing (ICIP 2004), vol. 1, pp. 321-324. Singapore, October 24-27, 2004.

[ACT76] C. Chaux, L. Duval and J.-C. Pesquet, “2D Dual-Tree M-band Wavelet Decomposition”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP2005), pp. 537-540, Phildelphia, PA, March 18-23, 2005. Best Student Paper Award.

[ACT77] M. Castella, S. Rhioui, E. Moreau and J.-C. Pesquet, “Source separation by quadratic contrast functions: a blind approach based on any higher-order statistics”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), pp. 569-572, Phildelphia, PA, March 18-23, 2005.

[ACT78] J. Hattay, A. Benazza-Benyahia and J.-C. Pesquet, “Adaptive lifting for multicomponent image coding through quadtree partitioning”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), pp. 213-216, Phildelphia, PA, March 18-23, 2005.

[ACT79] A. Elmzoughi, A. Benazza-Benyahia and J.-C. Pesquet, “An interscale multivariate statistical model for MAP multicomponent image denoising in the wavelet transform domain”, IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP 2005), pp. 45-48, Phildelphia, PA, March 18-23, 2005.

[ACT80] J.-C. Pesquet and Y. Eldar, “A minimax approach for mean square denoising”, IEEE/SP 13th Workshop on Statistical Signal Processing (SSP 2005), 5 p. Bordeaux, 17-20 Jul., 2005.

[ACT81] J. Gauthier, L. Duval and J.-C. Pesquet, “A non separable 2D complex modulated lapped transform and its applications to seismic data filtering”, European Signal and Image Processing Conference (EUSIPCO 2005), 5 p., Antalya, Turkey, 4-8 Sep., 2005.

[ACT82] C. Chaux, L. Duval and J.-C. Pesquet, “Etude du bruit dans une analyse M-bandes en arbre dual,” 20ème Colloque GRETSI, Louvain, Belgique, pp. 229-232, 6-9 Sep., 2005.

[ACT83] T. Petrisor, B. Pesquet-Popescu, J.-C. Pesquet, “Wavelet-based multiple description coding of images with iterative convex optimization techniques”, IEEE International Conference on Image Processing (ICIP 2005), pp. III924-III927, Genoa, Italy, September 11-14, 2005.

[ACT84] C. Chaux, P. L. Combettes, J.-C. Pesquet and V. R. Wajs, “A forward-backward algorithm for image restoration with sparse representations”, Signal Processing with Adaptative Sparse Structured Representations (SPARS 2005), pp. 49-52, Rennes, France, 16-18 Nov., 2005.

[ACT85] J. Hattay, A. Benazza-Benyahia and J.-C. Pesquet, “An embedded coder for multispectral image compression based on vector lifting structures”, IEEE International Conference on Electronics, Circuits and Systems, Gammarth, Tunisia, 4 p., 11-14 Dec., 2005.

[ACT86] C. Chaux, L. Duval, A. Benazza-Benyahia and J.-C. Pesquet, “A new estimator for image denoising using a 2D Dual-Tree M-band Wavelet Decomposition”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), pp. 249-252, Toulouse, France, May 15-19, 2006.

[ACT87] J. Gauthier, L. Duval and J.-C. Pesquet, “Low redundancy oversampled lapped transforms and application to 3D seismic data filtering”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2006), pp. 821-824, Toulouse, France, May 15-19, 2006.

[ACT88] W. Miled, J.-C. Pesquet and M. Parent, “Disparity map estimation using a total variation bound”, The 3rd Canadian Conference on Computer and Robot Vision, pp. 48-55, Québec, Canada, June 7-9, 2006.

[ACT89] C. Chaux, P. L. Combettes, J.-C. Pesquet and V. R. Wajs, “Iterative image deconvolution using overcomplete representations”, European Signal and Image Processing Conference (EUSIPCO 2006), 5 p., Firenze, Italy, Sep. 4-8, 2006.

[ACT90] A .Benazza-Benyahia and J.-C. Pesquet, “Multichannel image deconvolution in the wavelet transform domain”, European Signal and Image Processing Conference, (EUSIPCO 2006), 5 p., Firenze, Italy, Sep. 4-8, 2006.

[ACT91] W. Miled, J.-C. Pesquet and M. Parent, “Wavelet-constrained regularization for disparity map estimation”, European Signal and Image Processing Conference (EUSIPCO 2006), 5 p., Firenze, Italy, Sep. 4-8, 2006. Best Student Paper Award.

[ACT92] W. Miled, J.-C. Pesquet and M. Parent, “Dense disparity estimation from stereo images”, International symposium on Image/Video Communications (ISIVC 2006), 4 p., Hammamet, Tunisia, Sep. 13-15, 2006.

[ACT93] W. Miled, J.-C. Pesquet and M. Parent, “Robust obstacle detection based on dense disparity maps”, 11th International Conference on Computer Aided Systems Theory, (EUROCAST 2007), Springer LNCS 4739, pp. 1142-1150, Las Palmas de Gran Canaria, Feb. 12-16, 2007.

[ACT94] C. Chaux, L. Duval and J.-C. Pesquet, “2D Dual-Tree complex biorthogonal M-band wavelet transform”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007), pp. 845-848, Honolulu, Hawaii, April 15-20, 2007.

[ACT95] J. Gauthier, L. Duval and J.-C. Pesquet, “Oversampled inverse complex lapped transform optimization”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007), pp. 549-552, Honolulu, Hawaii, April 15-20, 2007.

[ACT96] T. Petrisor, B. Pesquet-Popescu and J.-C. Pesquet, “A compressed sensing approach to frame-based multiple description coding”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2007), pp. 709-712, Honolulu, Hawaii, April 15-20, 2007.

[ACT97] P. L. Combettes and J.-C. Pesquet, “Sparse signal recovery by iterative proximal thresholding”, European Signal and Image Processing Conference (EUSIPCO 2007), 5 p., Poznan, Poland, Sep. 3-7, 2007.

[ACT98] M. Kaaniche, A. Benazza, J.-C. Pesquet and B. Pesquet-Popescu, “Lifting schemes for joint coding of stereoscopic pairs of satellite images”, European Signal and Image Processing Conference (EUSIPCO 2007), 5 p., Poznan, Poland, 3-7 Sep. 3-7, 2007.

[ACT99] T. Petrisor, A. Fraysse, B. Pesquet-Popescu et J.-C. Pesquet, “Une nouvelle approche du codage par descriptions multiples utilisant des représentations linéaires creuses”, 21ème Colloque GRETSI, pp. 493-496, Troyes, France, 11-14 Sep., 2007.

[ACT100] J. Gauthier, L. Duval et J.-C. Pesquet, “Construction de bancs de filtres faiblement redondants”, 21ème Colloque GRETSI, pp. 965-968, Troyes, France, 11-14 Sep., 2007.

[ACT101] C. Chaux, P. L. Combettes, J.-C. Pesquet et V. R. Wajs, “Opérateurs proximaux pour la restauration bayèsienne de signaux”, 21ème Colloque GRETSI, pp. 1277-1280, Troyes, France, 11-14 Sep., 2007.

[ACT102] A. Benazza-Benyahia and J.-C. Pesquet, “A SURE approach for image deconvolution in an orthonormal wavelet basis”, International Symposium on Communications, Control and Signal Processing (ISCCSP 2008), pp. 1536-1541, St Julians, Malta, 12-14 Mar., 2008.

[ACT103] A. Fraysse, B. Pesquet-Popescu and J.-C. Pesquet, “Rate-distortion results for Generalized Gaussian distributions”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2008), pp. 3753-3756, Las Vegas, NV, March 31-April 4, 2008.

[ACT104] W. Miled, J.-C. Pesquet and M. Parent, “Wavelet-constrained stereo matching under photometric variations”, SPIE Optical and Digital Image Processing, 8 p., Strasbourg, France, 7-9 Apr., 2008.

[ACT105] L. Chaâri, J.-C. Pesquet, A. Benazza-Benyahia and Ph. Ciuciu, “Autocalibrated regularized parallel MRI reconstruction in the wavelet domain”, IEEE International Symposium on Biomedical Imaging (ISBI 2008), pp. 756-759, Paris, France, 14-17 May, 2008.

[ACT106] N. Pustelnik, C. Chaux and J.-C. Pesquet, “A constrained forward-backward algorithm for image recovery problems”, European Signal and Image Processing Conference (EUSIPCO 2008), 5 p., Lausanne, Switzerland, Aug. 25-29, 2008.

[ACT107] J. Gauthier, L. Duval and J.-C. Pesquet, “Two denoising SURE-LET methods for complex oversampled subband decompositions”, European Signal and Image Processing Conference (EUSIPCO 2008), 5 p., Lausanne, Switzerland, Aug. 25-29, 2008.

[ACT108] F.C. Sureau, J.-C. Pesquet, C. Chaux, N. Pustelnik, A.J. Reader, C. Comtat and R. Trebossen, “Temporal wavelet denoising of PET sinograms and images”, IEEE Nuclear Science Symposium and Medical Imaging Conference (NSS 2008), pp. 4448-4454, Dresden, Germany, Oct. 19-25, 2008.

[ACT109] L. Chaâri, J.-C. Pesquet, A. Benazza-Benyahia and Ph. Ciuciu, “Minimization of a sparsity promoting criterion for the recovery of complex-valued signals”, Structure et parcimonie pour la représentation adaptative de signaux (SPARS 2009), 4 p., St-Malo, France, April 6-9, 2009.

[ACT110] L. Chaâri, Ph. Ciuciu, A. Benazza-Benyahia and J. -C. Pesquet, “Performance of three parallel MRI reconstruction methods in the presence of coil sensitivity map errors”, Annual Meeting of the International Society for Magnetic Resonance in Medicine (ISMRM), 1 p., Hawai, USA, April 18-24, 2009.

[ACT111] P. L. Combettes and J.-C. Pesquet, “Split convex minimization algorithm for signal recovery”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pp. 685-688. Taipei, Taiwan, April 19-24, 2009.

[ACT112] N. Pustelnik, C. Chaux and J.-C. Pesquet, “A wavelet-based quadratic extension method for image deconvolution in the presence of Poisson noise”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), pp. 701-704, Taipei, Taiwan , Apr. 19-24, 2009.

[ACT113] N. Pustelnik, C. Chaux, J.-C. Pesquet, F. C. Sureau, E. Dusch and C. Comtat, “Adapted convex optimization algorithm for wavelet-based dynamic PET reconstruction”, International Meeting on Fully Three-Dimensional Image Reconstruction in Radiology and Nuclear Medicine (Fully3D), 4 p., Beijing, China, Sep. 5-10, 2009.

[ACT114] N. Pustelnik, C. Chaux et J.-C. Pesquet, “Extension des algorithmes imbriqués pour la résolution de problèmes d’optimisation convexe en imagerie”, 22ème Colloque GRETSI, 4 p., Dijon, 8-11 Sep., 2009.

[ACT115] A. Fraysse, B. Pesquet-Popescu et J.-C. Pesquet, “Une méthode d’allocation de débit basse-résolution pour des données parcimonieuses”, 22ème Colloque GRETSI, 4 p., Dijon, 8-11 Sep., 2009.

[ACT116] M. Kaaniche, W. Miled, B. Pesquet-Popescu, A. Benazza-Benyahia and J.-C. Pesquet, “Dense disparity map representations for stereo image coding”, IEEE International Conference on Image Processing (ICIP 2009), pp. 725-728, Cairo, Egypt, Nov. 7-10, 2009.

[ACT117] L. Chaâri, A. Benazza-Benyahia, J.-C. Pesquet and P. Ciuciu, “Wavelet-based parallel MRI regularization using bivariate sparsity promoting priors”, IEEE International Conference on Image Processing (ICIP 2009), pp. 1725-1728, Cairo, Egypt, Nov. 7-10, 2009.

[ACT118] M. Kaaniche, J.-C. Pesquet,A. Benazza-Benyahia and B. Pesquet-Popescu, “Two-dimensional non separable adaptive lifting scheme for still and stereo image coding”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), pp. 1298-1301, Dallas, TX, USA, Mar. 14-19, 2010.

[ACT119] L. Chaâri, J.-C. Pesquet, J.-Y. Tourneret, P. Ciuciu and A. Benazza-Benyahia, “A hierarchical Bayesian model for frame representation”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2010), pp. 4086-4089, Dallas, TX, USA, Mar. 14-19, 2010.

[ACT120] N. Pustelnik, J.-C. Pesquet and C. Chaux, “Proximal methods for image restoration using a class of non-tight frame representations”, European Signal and Image Processing Conference (EUSIPCO 2010), pp. 611-615, Aalborg, Danemark, 23-27 Aug., 2010.

[ACT121] L. M. Briceño-Arias, P. L. Combettes, J.-C. Pesquet and N. Pustelnik, “Proximal method for geometry and texture image decomposition”, IEEE International Conference on Image Processing (ICIP 2010), pp. 2721-2724, Honk Kong, Sep. 26-29, 2010.

[ACT122] J. Bolte, P. L. Combettes and J.-C. Pesquet, “Alternating proximal algorithm for blind image recovery”, IEEE International Conference on Image Processing (ICIP 2010), pp. 1673-1676, Honk Kong, Sep. 26-29, 2010.

[ACT123] A. Jezierska, C. Chaux, H. Talbot and J.-C. Pesquet, “Image quantization under spatial smoothness constraints”, IEEE International Conference on Image Processing (ICIP 2010), pp. 4297-4300, Honk Kong, Sep. 26-29, 2010.

[ACT124] N. Pustelnik, C. Chaux, J.-C. Pesquet and C. Comtat, “Parallel Algorithm and Hybrid Regularization for Dynamic PET Reconstruction”, IEEE Medical Imaging Conference, pp. 2423-2427, Knoxville, Tennessee, Oct. 30 – Nov. 6, 2010.

[ACT125] L. Chaâri, S. Mériaux, J.-C. Pesquet and P. Ciuciu, “Impact of the parallel imaging reconstruction algorithm on the statistical sensitivity in fMRI”, International Symposium on Applied Sciences in Biomedical and Communication Technologies (ISABEL), 5 p., Rome, Italy, November 7-10, 2010.

[ACT126] L. Chaâri, S. Mériaux, S. Badillo, P. Ciuciu and J.-C. Pesquet, “3D wavelet-based regularization for parallel MRI reconstruction: impact on subject and group-level statistical sensitivity in fMRI”, IEEE International Symposium on Biomedical Imaging (ISBI 2011), pp. 460-464, Chicago, USA, March 30 – April 2, 2011.

[ACT127] M. El Gheche, J.-C Pesquet, J. Farah, M. Kaaniche and B. Pesquet- Popescu, “Proximal splitting methods for depth estimation”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), pp. 853-856, Prague, Czech Republic, May 22-27, 2011.

[ACT128] C. Couprie, H. Talbot, J.-C. Pesquet, L. Najman and L. Grady, “Dual constrained TV-based regularization”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2011), pp. 945-948, Prague, Czech Republic, May 22-27, 2011.

[ACT129] L. Chaâri, J.-C. Pesquet, J.-Y. Tourneret and P. Ciuciu, “Parameter estimation for hybrid wavelet-total variation regularization”, IEEE Workshop on Statistical Signal Processing (SSP 2011), pp. 461-464, Nice, France, June 28 – 30, 2011.

[ACT130] A. Jezierska, C. Chaux, J.-C. Pesquet and H. Talbot, “An EM approach for Poisson-Gaussian noise modeling”, European Signal and Image Processing Conference (EUSIPCO 2011), pp. 2244-2248, Barcelona, Aug. 29 – Sep. 2, 2011.

[ACT131] M. El Gheche, C. Chaux, J.-C. Pesquet, B. Pesquet-Popescu et J. Farah, “Méthodes proximales pour l’estimation du champ de disparité à partir d’une paire d’images stéréoscopiques en présence de variations d’illumination”, 23ème Colloque GRETSI, 4 p., Bordeaux, France, 5-8 Sep., 2011.

[ACT132] M. Kaaniche, J.-C. Pesquet,A. Benazza-Benyahia et B. Pesquet-Popescu, “Schémas de lifting adaptatifs via des critères parcimonieux”, 23ème Colloque GRETSI, 4 p., Bordeaux, France, 5-8 Sep., 2011.

[ACT133] N. Pustelnik, J.-C. Pesquet et C. Chaux, “Bancs de filtres et méthodes proximales pour la restauration d’images”, 23ème Colloque GRETSI, 4 p., Bordeaux, France, 5-8 Sep., 2011.

[ACT134] E. Chouzenoux, J.-C. Pesquet, H. Talbot and A. Jezierska, “A memory gradient algorithm for l2– l0 regularization with applications to image restoration”, IEEE International Conference on Image Processing (ICIP 2011), pp. 2717-2720, Bruxelles, Belgique, Sep. 11-14, 2011.

[ACT135] M. El Gheche, J.-C. Pesquet, J. Farah, C. Chaux and B. Pesquet-Popescu, “Disparity map estimation under convex constraints using proximal algorithms”, IEEE Workshop on Signal Processing Systems (SiPS 2011), pp. 293 – 298, Beirut, Lebanon, Oct. 4-7, 2011.

[ACT136] A. Jezierska, E. Chouzenoux, J.-C. Pesquet and H. Talbot, “A primal-dual proximal splitting approach for restoring data corrupted with Poisson-Gaussian noise”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), pp. 1085 – 1088, Kyoto, Japan, Mar. 25-30, 2012.

[ACT137] G. Cherchia, N. Pustelnik, J.-C. Pesquet and B. Pesquet-Popescu, “A proximal approach approach for constrained cosparse modelling”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2012), pp. 3433-3436, Kyoto, Japan, Mar. 25-30, 2012.

[ACT138] A. Jezierska, H. Talbot, C. Chaux and J.-C. Pesquet, “Poisson-Gaussian noise parameter estimation in fluorescence microscopy imaging”, IEEE International Symposium on Biomedical Imaging (ISBI 2012), pp. 1663-1666, Barcelona, Spain, May 2-5, 2012.

[ACT139] M. Kaaniche, A. Fraysse, B. Pesquet-Popescu and J.-C. Pesquet, “A convex programming bit allocation method for sparse sources”, Picture Coding Symposium (PCS 2012), pp. 277 – 280, Krakow, Poland, May 7-9, 2012.

[ACT140] D. Gragnaniello, C. Chaux, J. C. Pesquet and L. Duval, “A convex variational approach for multiple removal in seismic data”, European Signal and Image Processing Conference (EUSIPCO 2012), pp. 215-219, Bucharest, Romania, Aug. 27-31, 2012.

[ACT141] M. Kaaniche, B. Pesquet-Popescu and J. C. Pesquet, “l1-adapted non separable vector lifting schemes for stereo image coding”, European Signal and Image Processing Conference (EUSIPCO 2012), pp. 769-773, Bucharest, Romania, Aug. 27-31, 2012.

[ACT142] S. Hiltunen, J. C. Pesquet and B. Pesquet-Popescu, “Comparison of two proximal splitting algorithms for solving multilabel disparity estimation problems”, European Signal and Image Processing Conference (EUSIPCO 2012), pp. 1134-1138, Bucharest, Romania, Aug. 27-31, 2012.

[ACT143] A. Repetti, E. Chouzenoux and J. C. Pesquet, “A penalized weighted least squares approach for restoring data corrupted with signal-dependent noise”, European Signal and Image Processing Conference (EUSIPCO 2012), pp. 1553-1557, Bucharest, Romania, Aug. 27-31, 2012.

[ACT144] M. Kaaniche, B. Pesquet-Popescu, J.-C Pesquet and A. Benazza-Benyahia, “Adaptive lifting scheme with a global l1 minimization technique for stereo image coding”, IEEE International Conference on Image Processing (ICIP 2012), 4 p., Orlando, Florida, Sep. 30- Oct. 3, 2012.

[ACT145] A. Florescu, E. Chouzenoux, J.-C. Pesquet, Ph. Ciuciu and S. Ciochina, “A complex-valued Majorize-Minimize Memory Gradient method with application to Parallel MRI”, European Signal and Image Processing Conference (EUSIPCO 2013), 5 p., Marrakech, Morocco, Sep. 9-13, 2013.

[ACT146] G. Chierchia, N. Pustelnik, J.-C. Pesquet, B. Pesquet-Popescu, “An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), pp. 1359-1363, Vancouver, Canada, May 26-31, 2013.

[ACT147] M. Q. Pham, C. Chaux, L. Duval and J.-C. Pesquet, “Seismic multiple removal with a Primal-Dual proximal algorithm”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), pp. 2257-2261, Vancouver, Canada, May 26-31, 2013.

[ACT148] M. El Gheche, J.-C. Pesquet and J. Farah, “A proximal approach for optimization problems involving Kullback divergences”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2013), pp. 5984-5988, Vancouver, Canada, May 26-31, 2013.

[ACT149] S. Harizanov, J.-C. Pesquet and G. Steidl, “Epigraphical projection for solving least squares Anscombe transformed constrained optimization problems”, Proc. 4th International Conference on Scale-Space and Variational Methods in Computer Vision (SSVM 2013), A. Kuijper et al. editors, Lecture Notes in Computer Science, Vol. 7893, Springer-Verlag, Berlin, pp. 125-136, Schloss Seggau, Leibnitz, Austria, June 2-6, 2013

[ACT150] A. Florescu, E. Chouzenoux, J.-C. Pesquet and S. Ciochina, “A constrained optimization approach for complex sparse perturbed models”, Signal Processing with Adaptive Sparse Structured Representations (SPARS 2013), 1 p., Lausanne, Suisse, July 8-11, 2013.

[ACT151] Y. Marnissi, A. Benazza-Benyahia, E. Chouzenoux and J.-C. Pesquet, “Generalized Multivariate Exponential Power prior for wavelet-based multichannel image restoration.”, IEEE International Conference on Image Processing (ICIP 2013), pp. 2402-2406, Melbourne, Australia, Sep. 15-18, 2013.

[ACT152] A. Repetti, E. Chouzenoux and J.-C. Pesquet, “Reconstruction d’image en présence de bruit gaussien dépendant par un algorithme Explicite-Implicite à métrique variable”, 24ème Colloque GRETSI, 4 p., Brest, France, 3-6 Sep., 2013.

[ACT153] A. Florescu, E. Chouzenoux, J.-C. Pesquet and S. Ciochina, “Estimation d’un signal complexe à partir d’un modèle parcimonieux perturbé”, 24ème Colloque GRETSI, 4 p., Brest, France, 3-6 Sep., 2013.

[ACT154] M. Q. Pham, C. Chaux, L. Duval and J.-C. Pesquet, “Filtrage de multiples sismiques par ondelettes et optimisation convexe”, 24ème Colloque GRETSI, 4 p., Brest, France, 3-6 Sep., 2013.

[ACT155] A. Florescu, E. Chouzenoux, J.-C. Pesquet, P. Ciuciu and S. Ciochina, “A complex-valued Majorize-Minimize Memory Gradient method with application to parallel MRI”, European Signal and Image Processing Conference (EUSIPCO 2013), 5 p., Marrakech, Morocco, Sep. 9-13, 2013.

[ACT156] M. Kaaniche, A. Fraysse, B. Pesquet-Popescu and J.-C. Pesquet, “Accurate rate-distortion approximation for sparse Bernoulli-generalized Gaussian models”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pp. 2020-2024, Florence, Italy, May 4-9, 2014.

[ACT157] G. Chierchia, N. Pustelnik, J.-C. Pesquet and B. Pesquet-Popescu, “Epigraphical proximal projection for sparse multiclass SVM”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2014), pp. 8312-8316, Florence, Italy, May 4-9, 2014.

[ACT158] A. Florescu, E. Chouzenoux, J.-C. Pesquet, P. Ciuciu and S. Ciochina, “Cramer-Rao bound for a sparse complex model”, 10th International Conference on Communications (COMM 2014), 4 p., Bucharest, Romania, May 29-31, 2014.

[ACT159] Y. Marnissi, A. Benazza-Benyahia, E. Chouzenoux and J.-C. Pesquet, “Majorize-Minimize adapted Metropolis Hastings algorithm. Application to multichannel image recovery”, European Signal and Image Processing Conference (EUSIPCO 2014), pp. 1332-1336, Lisbon, Portugal, Sep. 1-5, 2014.

[ACT160] F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.-H. Chenot and L. Laborelli, “A hybrid alternating proximal method for blind video restoration”, European Signal and Image Processing Conference (EUSIPCO 2014), pp. 1811-1815, Lisbon, Portugal, Sep. 1-5, 2014.

[ACT161] A. Repetti, E. Chouzenoux and J.-C. Pesquet, “A nonconvex regularized approach for phase retrieval”, IEEE International Conference on Image Processing (ICIP 2014), pp. 1753-1757, Paris, France, 27-30 Oct., 2014.

[ACT162] P. L. Combettes, L. Condat, J.-C. Pesquet and B. C. Vu, “A forward-backward view of some primal-dual optimization methods in image recovery”, IEEE International Conference on Image Processing (ICIP 2014), pp. 4141-4145, Paris, France, 27-30 Oct., 2014. (Among nine best papers).

[ACT163] A. Pirayre, A., C. Couprie, L. Duval and J.-C. Pesquet, “Fast convex optimization for connectivity enforcement in gene regulatory network inference”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), p. 1002-1006, Brisbane, Australia, Apr. 19-24, 2015.

[ACT164] A. Repetti, E. Chouzenoux and J.-C. Pesquet, “A random block-coordinate primal-dual proximal algorithm with application to 3D mesh denoising”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2015), p. 3561-3565, Brisbane, Australia, Apr. 19-24, 2015.

[ACT165] L. Najman, J.-C. Pesquet and H. Talbot, “When convex analysis meets mathematical morphology on graphs,” International Symposium on Mathematical Morphology and Its Applications to Signal and Image Processing (ISMM 2015), Lecture Notes in Computer Sciences, vol. 9082, pp.473-484, Reykjavik, Iceland, May 27-29, 2015.

[ACT166] G. Chierchia, N. Pustelnik, J.-Ch. Pesquet and B. Pesquet-Popescu, “An Epigraphic Splitting Technique for Sparse Multiclass SVM”, Signal Processing with Adaptative Sparse Structured Representations (SPARS 2015), 2 p. , Cambridge, UK, July 6-9, 2015.

[ACT167] A. Pirayre, C. Couprie, L. Duval and J.-C. Pesquet, “Graph inference enhancement with clustering: application to gene regulatory network reconstruction”, European Signal and Image Processing Conference (EUSIPCO 2015), pp. 2451-2455, Nice, France, Sep. 1-5, 2015.

[ACT168] Y. Marnissi, E. Chouzenoux, A. Benazza-Benyahia and J.-C. Pesquet and L. Duval, “Reconstruction de signaux parcimonieux à l’aide d’un algorithme rapide d’échantillonnage stochastique”, 5 p., 25ème Colloque GRETSI, Lyon, France, 8-11 Sep., 2015.

[ACT169] A. Kanj, H. Talbot, J.-C. Pesquet, R. Rodriguez Luparello, “Correction des variations colorimétriques pseudo-périodiques en vidéo haute vitesse”, 5 p., 25ème Colloque GRETSI, Lyon, France, 8-11 Sep., 2015.

[ACT170] A. Kanj, H. Talbot, J.-C. Pesquet, R. Rodriguez Luparello, “Color deflickering for high-speed video in the presence of artificial lighting”, IEEE International Conference on Image Processing (ICIP 2015), pp. 976-980, Quebec City, Canada, 27-30 Sep., 2015.

[ACT171] M. Q. Pham, C. Chaux, L. Duval and J.-C. Pesquet, “Sparse adaptive template matching and filtering for 2D seismic images with dual-tree wavelets and proximal methods”, IEEE International Conference on Image Processing (ICIP 2015), pp. 2339-2343, Quebec City, Canada, 27-30 Sep., 2015.

[ACT172] F. Abboud, E. Chouzenoux, J.-C. Pesquet, J.-H. Chenot and L. Laborelli, “A dual block-coordinate proximal algorithm with applications to deconvolution of interlaced video sequences”, IEEE International Conference on Image Processing (ICIP 2015), pp. 4917- 4921, Quebec City, Canada, 27-30 Sep., 2015, Among 10 % best papers.

[ACT173] G. Chierchia,N. Pustelnik and J.-C. Pesquet, “Random primal-dual proximal iterations for sparse multiclass SVM”, IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2016), 4 p., Salerno, Italy, 13-16 Sep., 2016.

[ACT174] S. Cadoni, E. Chouzenoux, J.-C. Pesquet, and C. Chaux, “A Block Parallel Majorize-Minimize Memory Gradient algorithm”, IEEE International Conference on Image Processing (ICIP 2016), pp. 3194–3198, Phoenix, Arizona, 25-28 Sep., 2016, Among the fi nalists for the best paper award.

[ACT175] M. Castella and J.-C. Pesquet, “Recovery of nonlinearly degraded sparse signals through rational optimization”, Signal Processing with Adaptative Sparse Structured, Representations (SPARS 2017), 2 p., Lisbon, Portugal, 5-8 Jun, 2017.

[ACT176] V. Dudar, G. Chierchia, E. Chouzenoux, J.-C. Pesquet, and V. V. Semenov, “A two-stage subspace trust region approach for deep neural network training”, European Signal and Image Processing Conference (EUSIPCO 2017), pp. 291-295, Kos Island, Greece, 28 Aug. – 2 Sep., 2017.

[ACT177] M. Castella and J.-C. Pesquet, “A global optimization approach for rational sparsity promoting criteria”, European Signal and Image Processing Conference (EUSIPCO 2017), pp. 156-160, Kos Island, Greece, 28 Aug. – 2 Sep., 2017.

[ACT178] A. Pirayre, Y. Zheng, L. Duval and J.-C. Pesquet, “Variational Bayes and higher-order graphical models applied to joint image recovery and segmentation”, IEEE International Conference on Image Processing (ICIP 2017), pp. 3775-3779, Beijing, China, 17-20 Sep., 2017.

[ACT179] Q. Wei, E. Chouzenoux, J.-Y. Tourneret and J.-C. Pesquet, “”A fast algorithm based on a Sylvester-like equation for LS Regression with GMRF Prior”, IEEE International Workshop on Computational Advances in Multi-Sensor Adaptive Processing (CAMSAP 2017), 5 p., Curacao, Dutch Antilles, 10-13 Dec., 2017.

[ACT180] T. K. Lau, E. Chouzenoux, C. Lefort and J.-C. Pesquet, “Optimal multivariate Gaussian fitting for PSF modeling in two-photon microscopy”, IEEE International Symposium on Biomedical Imaging (ISBI 2018), pp. 484-488, Washington DC, US, 4-7 Apr., 2018.

[ACT181] A. Jezierska, H. Talbot and J.-C. Pesquet, “Spatially variant PSF modeling in confocal macroscopy”, IEEE International Symposium on Biomedical Imaging (ISBI 2018), p. 489-492, Washington DC, US, 4-7 Apr., 2018.

[ACT182] B. Pascal, N. Pustelnik, P. Abry and J.-C. Pesquet, “Block-coordinate proximal algorithms for scale-free texture segmentation”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), p. 1253-1257, Calgary, Canada, 15-20 Apr., 2018.

[ACT183] M.-C. Corbineau, E. Chouzenoux and J.-C. Pesquet, “PIPA : A new Proximal Interior Point Algorithm for large scale convex optimization”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), p. 1343-1347, Calgary, Canada, 15-20 Apr., 2018.

[ACT184] A. Benfenati, E. Chouzenoux and J.-C. Pesquet, “A nonconvex variational approach for robust graphical lasso”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2018), p. 3969-3973, Calgary, Canada, 15-20 Apr., 2018.

[ACT185] F. Abboud, E. Chouzenoux, J.-C. Pesquet and H. Talbot, “A multicore convex optimization algorithm with applications to video restoration”, IEEE International Conference on Image Processing (ICIP 2018), p. 1173-1177, Athens, Greece, 7-10 Oct., 2018.

[ACT186] A. Marmi, M. Castella, J.-C. Pesquet and L. Duval, “Signal reconstruction from subsampled and nonlinearly distorted observations”, European Signal and Image Processing Conference (EUSIPCO 2018), pp. 1984-1988, Rome, Italy, 3-7 Sept., 2018.

[ACT187] L. El Gueddari, P. Ciuciu, E. Chouzenoux, A. Vignaud, and J.-C. Pesquet, “Calibrationless Oscar-based image reconstruction in compressed sensing parallel MRI”, IEEE International Symposium on Biomedical Imaging (ISBI 2019), pp. 1532-1536, Venise, Italy, 8-11 Apr., 2019.

[ACT188] M. Sghaier, E. Chouzenoux, G. Palma, J.-C. Pesquet, and S. Muller, “A new approach for microcalcification enhancement in digital breast tomosynthesis reconstruction”, IEEE International Symposium on Biomedical Imaging (ISBI 2019), pp. 1450-1454, Venise, Italy, 8-11 Apr., 2019.

[ACT189] A. Marmin, M. Castella, and J.-C. Pesquet, “How to globally solve nonconvex optimization problems involving an approximate l0 penalization”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2019), pp. 5601-5605, Brighton, United Kingdom, 12-17 May, 2019.

[ACT190] A. Marmin, M. Castella, and J.-C. Pesquet, “Sparse signal reconstruction with a sign oracle”, Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), 2 p., Toulouse, France, 1-4 July, 2019.

[ACT191] M. Terris, A. Abdulaziz, A. Dabbech, M. Jiang, A. Repetti, J.-C. Pesquet, and Y. Wiaux, “Deep post-processing for sparse image deconvolution”, Signal Processing with Adaptative Sparse Structured Representations (SPARS 2019), 2 p., Toulouse, France, 1-4 July, 2019.

[ACT192] Y. Marnissi, D. Abboud, E. Chouzenoux, J-C. Pesquet, M. El-Badaoui, A. Benazza-Benyahia, “A data augmentation approach for sampling Gaussian models in high dimension”, European Signal and Image Processing Conference (EUSIPCO 2019), pp. 2429-2433, A Coruna, Spain, 2-6 Sept., 2019.

[ACT193] M.-C. Corbineau, C. Bertocchi, E. Chouzenoux, M. Prato, and J.-C. Pesquet, “Learned image deblurring by unfolding a Proximal Interior Point Algorithm”, IEEE International Conference on Image Processing (ICIP 2019), pp. 4664-4668, Taipei, Taiwan, 22-25 Sept., 2019.

[ACT194] S. Verma, N. Henwood, M. Castella, F. Malrait, and J.-C. Pesquet. “Modeling electrical motor dynamics using encoder-decoder with recurrent skip connection”, AAAI Conference on Artificial Intelligence, vol. 34, pp. 1387–1394, New York, USA, 7-12 Feb., 2020.

[ACT195] M. Sghaier, E. Chouzenoux, G. Palma, J.-C. Pesquet, and S. Muller, “A new Spatially Adaptive TV regularization for Digital Breast Tomosynthesis”, IEEE Inter- national Symposium on Biomedical Imaging (ISBI 2020), pp. 629-633, Iowa City, USA, 8-11 Apr., 2020.

[ACT196] A. Marmin, M. Castella, and J.-C. Pesquet, “A moment-based approach for guaranteed tensor decomposition”. IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), pp. 3927–3931, Barcelona, Spain, 4-8 May, 2020.

[ACT197] A. Neacsu, J.-C. Pesquet, and C. Burileanu, “Accuracy-robustness trade-off for positively weighted neural networks”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2020), pp. 8389–8393, Barcelona, Spain, 4-8 May, 2020.

[ACT198] S. Verma, N. Henwood, M. Castella, A. Jebai, and J.-C. Pesquet, “Neural networks based speed-torque estimators for induction motors and performance metrics”, Conference of the IEEE Industrial Electronics Society (IECON 2020), Singapore, pp. 495–500, 18-21 Oct. 18, 2020.

[ACT199] A. Marmin, M. Castella, and J.-C. Pesquet, “Globally optimizing owing to tensor decomposition”, European Signal and Image Processing Conference (EUSIPCO 2020), pp.. 990–994, Amsterdam, the Netherlands, 18-21 Jan., 2021.

[ACT200] M. da Silva, J. Charl ́ety, A. Fraysse, and J.-C. Pesquet, “A small-scale network for seismic patterns classification”, European Signal and Image Processing Conference (EUSIPCO 2020), pp. 1402–1406, Amsterdam, the Netherlands, 18-21 Jan., 2021.

[ACT201] A. Neacsu, K. Gupta, J.-C. Pesquet, and C. Burileanu. “Signal denoising using a new class of robust neural networks”, European Signal and Image Processing Conference (EUSIPCO 2020), pp. 1492–149, Amsterdam, the Netherlands, 18-21 Jan., 2021.

[ACT202] M. Savanier, E. Chouzenoux, J.-C. Pesquet, C. Riddell, and Y. Trous- set, “Proximal gradient algorithm in the presence of adjoint mismatch”, European Signal and Image Processing Conference (EUSIPCO 2020), pp. 2140–2144, Amsterdam, the Netherlands, 18-21 Jan., 2021.

[ACT203] M. Savanier, E. Chouzenoux, J.-C. Pesquet, C. Riddell, and Y. Trousset, “Proximal gradient algorithm in the presence of adjoint mismatch”, European Signal and Image Processing Conference (EUSIPCO 2020), pp. 2140–2144, Amsterdam, the Netherlands, 18-21 Jan., 2021.

[ACT204] V. Vasilescu, A. Neac ̧su, E. Chouzenoux, J.-C. Pesquet and C. Burileanu, “A deep learning approach for improved segmentation of lesions related to covid-19 chest CT scans”, IEEE International Symposium on Biomedical Imaging (ISBI 2021), pp. 629-633, Nice, France, 13-16 April, 2021.

[ACT205] W. Tang, E. Chouzenoux, J. -C. Pesquet, and H. Krim, “Deep Transform and Metric Learning networks”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), pp. 2735-2739, Toronto, Canada, 6-11 June, 2021.

[ACT206] K. Gupta, B. Pesquet-Popescu, F. Kaakai, and J.-C. Pesquet, “A quantitative analysis of the robustness of neural networks for tabular data”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2021), pp. 8057–8061, Toronto, Canada, 6-11 June, 2021.

[ACT207] S. Verma and J.-C. Pesquet, “Sparsifying networks via subdifferential inclusion”, International Machine Learning Conference (ICML 2021), Proceedings of Machine Learning Research, vol. 139, pp. 10542–10552, 18-24 Jul., 2021.

[ACT208] S. Martin, E. Chouzenoux and J. -C. Pesquet, “A penalized subspace strategy for solving large-scale constrained optimization problems”, European Signal and Image Processing Conference (EUSIPCO 2021), pp. 2074-2078, Dublin, Ireland, 23-27 Aug., 2021.

[ACT209] M. Gharbi, E. Chouzenoux, J. -C. Pesquet and L. Duval, “GPU-based implementations of MM algorithms. Application to spectroscopy signal restoration”, European Signal and Image Processing Conference (EUSIPCO 2021), pp. 2094-2098, Dublin, Ireland, 23-27 Aug., 2021.

[ACT210] M. Terris, A. Repetti, J. -C. Pesquet and Y. Wiaux, “Enhanced convergent PnP algorithms for image restoration”, IEEE International Conference on Image Processing (ICIP 2021), pp. 1684–1688, Anchorage, AK, USA, 19-22 Sept., 2021.

[ACT211] T. Dardouri, M. Kaaniche, A. Benazza-Benyahia, J.-C. Pesquet, and G. Dauphin, “A neural network approach for joint optimization of predictors In lifting-based image coders”, IEEE International Conference on Image Processing (ICIP 2021), pp. 3747–3751, Anchorage, AK, USA, 19-22 Sept., 2021.

[ACT212] S. Verma, N. Henwood, M. Castella, J.-C. Pesquet, A. K. Jebai, “Can GANs Recover Faults in Electrical Motor Sensors ?”, ICLR Workshop on Deep Generative Models for Highly Structured Data, 6 p., Virtiual, 29 Apr., 2022.

[ACT213] M.-H. Kahanam, L. Le-Brusquet, S. Martin and J.-C. Pesquet, “A non-convex proximal approach for centroid-based classification”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), pp. 5702–5706, Singapore, 23-27 May, 2022

[ACT214] N. Ouzir, J.-C. Pesquet and F. Pascal, “A convex formulation for the robust estimation of Multivariate Exponential Power models”, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2022), pp. 5772–5776, Singapore, 23-27 May, 2022.

[ACT215] G. Scrivanti, E. Chouzenoux and J.-C. Pesquet, “A CNC approach for directional total variation”, European Signal and Image Processing Conference (EUSIPCO 2022), pp. 488–492, Belgrade, Serbia, 29 Aug.–2 Sept., 2022.

[ACT216] A. Neac ̧su, R. Ciubotaru, J.-C. Pesquet and C. Burileanu, “Design of robust complex-valued feed-forward neural networks”, European Signal and Image Processing Conference (EUSIPCO 2022), pp. 1596–1600, Belgrade, Serbia, 29 Aug.–2 Sept., 2022.

[ACT217] K. Gupta, F. Kaakai, B. Pesquet-Popescu and J.-C. Pesquet, “Safe design of stable neural networks for fault detection in small UAVs”, Workshop on Artificial Intelligence Safety Engineering (WAISE), International Conference on Computer Safety, Reliability and Security (SAFECOMP 2022), pp. 263—275, Munich, Germany, 6–9 Sept. 2022. Runner Up Best Paper Award

[ACT218] C. Rossignol, F. Sureau, E. Chouzenoux, C. Comtat and J.-C. Pesquet, “A Bregman Majorization-Minimization framework for PET image reconstruction”, IEEE International Conference on Image Processing (ICIP 2022), pp. 1736–1740, Bordeaux, France, 16–19 Oct., 2022.

Patents:

[B1] L. Chaâri, J.-C. Pesquet, S. Mériaux and P. Ciuciu, “Method for performing parallel magnetic resonance imaging”, PCT/IB2011/002330, Aug. 2011.

[B2] C. Chaux, L. Duval, J.-C. Pesquet et M. Q. Pham, “Procédé de traitement de réflexions multiples”, no. de publication : 2994746, Fev. 2014.

[B3] C. Riddell, M. Savanier, E. Chouzenoux, and J.-C. Pesquet, “Systems and methods for reprojection and backprojection via homographic resampling transform”, US20220036605A1, pending, Feb. 2022.

[B4] S. Verma, M. Castella, J.-C. Pesquet, N. Henwood, K. Al Jebai, “Neural-network process to identify and recover from sensor faults,” 2022P00279EP, pending, Feb. 2023.

Contract reports:

[R1] J.-C. Pesquet, “Analyse temps-fréquence de transitoires sonar”, Rapport final de convention avec le CERDSM, Septembre 1992.

[R2] J.-C. Pesquet, Rapport intermédiaire de convention avec le CERDSM, Avril 1994.

[R3] J.-C. Pesquet, “Analyse temps-échelle adaptative de transitoires d’acoustique sous-marine” Rapport final de convention avec le CERDSM, Juin 1995.

[R4] J.-C. Pesquet et V. Mangin, “Débruitage d’images satellite” Rapport final de contrat avec le CNES et Thomson Multimédias, Janvier 1997.

[R5] J.-C. Pesquet, “Restauration d’images satellite” Rapport final de contrat avec le CNES et CRIL Ingénierie, Septembre 1998.

[R6] J.-C. Pesquet, “Débruitage quinconce adapté” Rapport final de contrat avec le CNES et CRIL Ingénierie, Avril 2000.

[R7] Ph. Ciuciu, P. L. Combettes, J. Idier et J.-C. Pesquet, “Algorithmes d’optimisation décomposés pour les problèmes d’imagerie médicale de grande taille ” Premier rapport du projet ANR OPTIMED, Décembre 2006.

[R8] Ph. Ciuciu, P. L. Combettes, C. Comtat, J. Idier et J.-C. Pesquet, Rapport final du projet ANR OPTIMED, Novembre 2009.

Theses:

[T1] J.-C. Pesquet, “Méthodes adaptatives en codage prédictif des images numériques”, thèse de Doctorat en Science de l’Université de Paris-Sud, 25 Sep. 1990.

[T2] J.-C. Pesquet, “Dossier d’habilitation à diriger des recherches”, Université de Paris-Sud, 6 Janv. 1999.