Giovanni Chierchia

Contact information

Université Paris Est
Laboratoire d'Informatique Gaspard Monge
Equipe A3SI, ESIEE Paris

Cité Descartes
2 boulevard Blaise Pascal
F-93162 Noisy-le-Grand, France

Phone: +33 (0)1 45 92 65 03
giovanni (dot) chierchia (at) esiee (dot) fr

Publications

Preprints
L. M. Briceno-Arias, G. Chierchia, E. Chouzenoux, J.-C. Pesquet.
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression.
December 2017.
Journal Articles
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, February 2018.
G. Chierchia, M. El Gheche, G. Scarpa, and L. Verdoliva.
Multitemporal SAR Image Despeckling based on Block-Matching and Collaborative Filtering.
IEEE Transactions on Geoscience and Remote Sensing, Vol. 55, No. 10, pp. 5467-5480, October 2017.
A. Fiengo, G. Chierchia, M. Cagnazzo, and B. Pesquet-Popescu.
Rate Allocation in Predictive Video Coding Using a Convex Optimization Framework.
IEEE Transactions on Image Processing, Vol. 26, No. 1, pp. 479-489, January 2017.
G. Chierchia, N. Pustelnik, J.-C. Pesquet, and B. Pesquet-Popescu.
Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems.
Signal, Image and Video Processing, Vol. 9, No. 8, pp. 1737-1749, November 2015.
G. Chierchia, N. Pustelnik, B. Pesquet-Popescu, and J.-C. Pesquet.
A Nonlocal Structure Tensor Based Approach for Multicomponent Image Recovery Problems.
IEEE Transactions on Image Processing, Vol. 23, No. 12, pp. 5531-5544, December 2014.
G. Chierchia, G. Poggi, C. Sansone, and L. Verdoliva.
A Bayesian-MRF Approach for PRNU-based Image Forgery Detection.
IEEE Transactions on Information Forensics and Security, Vol. 9, No. 4, pp. 554-567, April 2014.
Conferences (selected)
J. Maggu, E. Chouzenoux, G. Chierchia, and A. Majumdar.
Convolutional Transform Learning
Proceedings of ICONIP, Siem Reap, Cambodia, December 2018.
V. Dudar, G. Chierchia, E. Chouzenoux, J.-C. Pesquet, and V. Semenov.
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training
Proceedings of EUSIPCO, Kos island, Greece, September 2017.
G. Chierchia, D. Cozzolino, G. Poggi, and L. Verdoliva.
SAR Image Despeckling Through Convolutional Neural Networks
Proceedings of IGARSS, Forth Worth, TX, USA, July 2017.
G. Chierchia, N. Pustelnik, and J.-C. Pesquet
Random primal-dual proximal iterations for sparse multiclass SVM
Proceedings of MLSP, Salerno, Italy, September 2016.
A. Fiengo, G. Chierchia, M. Cagnazzo, and B. Pesquet-Popescu
Convex optimization for frame-level rate allocation in MV-HEVC
Proceedings of ICIP, Phoenix, AZ, USA, September 2016.
G. Chierchia, D. Cozzolino, G. Poggi, C. Sansone, and L. Verdoliva
Guided filtering for PRNU-based localization of small-size image forgeries
Proceedings of ICASSP, Florence, Italy, May 2014.
P. Lauga, G. Valenzise, G. Chierchia, and F. Dufaux
Improved Tone Mapping Operator for HDR Coding Optimizing the Distortion/Spatial Complexity Trade-Off
Proceedings of EUSIPCO, Lisbon, Portugal, September 2014.
R. Gaetano, G. Chierchia, and B. Pesquet-Popescu
Parallel Implementations of a Disparity Estimation Algorithm based on a Proximal Splitting Method
Proceedings of VCIP, San Diego, CA, USA, November 2012.
Technical Reports
G. Chierchia, N. Pustelnik, J.-C. Pesquet, and B. Pesquet-Popescu.
A Proximal Approach for Sparse Multiclass SVM.
February 2015.
PhD Thesis
G. Chierchia.
Epigraphical splitting of convex constraints. Application to image recovery, supervised classification, and image forgery detection.
Ph.D. Thesis, Telecom ParisTech, April 2015.

Curriculum Vitae

Resume

  • Since 2015: Assistant Professor (ESIEE Paris)
  • 2015 - 2015: Postdoc Researcher (University of Naples)
  • 2011 - 2015: Ph.D. Student (Telecom ParisTech)
  • 2010 - 2011: Research Engineer (Telecom ParisTech)

Awards

  • 2015: Prix de thèse Fondation Télécom

Research interests

  • Optimization
  • Image Restoration
  • Machine Learning Algorithms

Funding and Grants

Teaching

  • Machine Learning
  • Optimization
  • Array Programming (Numpy, Matlab)
  • Software Engineering

Administration

  • Since 2016: Co-director of "Computer Science and Applications" engineering graduate program (3 years, dual-education system)