On the influence of denoising in PRNU based forgery detection. - Giovanni Chierchia; Sara Parrilli; Giovanni Poggi; Carlo Sansone; Luisa Verdoliva (MiFor@MM, 2010)

PRNU-based detection of small-size image forgeries. - Giovanni Chierchia; Sara Parrilli; Giovanni Poggi; Luisa Verdoliva; Carlo Sansone (DSP, 2011)

Non-Local smoothness constraints for disparity estimation in a variational framework. - Raffaele Gaetano; Giovanni Chierchia; Béatrice Pesquet-Popescu (EUSIPCO, 2012)

A proximal approach for constrained cosparse modelling. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (ICASSP, 2012)

Parallel implementations of a disparity estimation algorithm based on a Proximal splitting method. - Raffaele Gaetano; Giovanni Chierchia; Béatrice Pesquet-Popescu (VCIP, 2012)

Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (CoRR, 2012)

An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (ICASSP, 2013)

PRNU-based forgery detection with regularity constraints and global optimization. - Giovanni Chierchia; Giovanni Poggi; Carlo Sansone; Luisa Verdoliva (MMSP, 2013)

Improved tone mapping operator for HDR coding optimizing the distortion/spatial complexity trade-off. - Paul Lauga; Giuseppe Valenzise; Giovanni Chierchia; Frédéric Dufaux (EUSIPCO, 2014)

Guided filtering for PRNU-based localization of small-size image forgeries. - Giovanni Chierchia; Davide Cozzolino; Giovanni Poggi; Carlo Sansone; Luisa Verdoliva (ICASSP, 2014)

Epigraphical proximal projection for sparse multiclass SVM. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (ICASSP, 2014)

A convex-optimization framework for frame-level optimal rate allocation in predictive video coding. - Aniello Fiengo; Giovanni Chierchia; Marco Cagnazzo; Béatrice Pesquet-Popescu (ICASSP, 2014)

A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems. - Giovanni Chierchia; Nelly Pustelnik; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (CoRR, 2014)

A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection. - Giovanni Chierchia; Giovanni Poggi; Carlo Sansone; Luisa Verdoliva (IEEE Trans. Inf. Forensics Secur., 2014)

A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems. - Giovanni Chierchia; Nelly Pustelnik; Béatrice Pesquet-Popescu; Jean-Christophe Pesquet (IEEE Trans. Image Process., 2014)

A Proximal Approach for Sparse Multiclass SVM. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (CoRR, 2015)

Epigraphical projection and proximal tools for solving constrained convex optimization problems. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet; Béatrice Pesquet-Popescu (Signal Image Video Process., 2015)

Convex optimization for frame-level rate allocation in MV-HEVC. - Aniello Fiengo; Giovanni Chierchia; Marco Cagnazzo; Béatrice Pesquet-Popescu (ICIP, 2016)

Random primal-dual proximal iterations for sparse multiclass SVM. - Giovanni Chierchia; Nelly Pustelnik; Jean-Christophe Pesquet (MLSP, 2016)

A two-stage subspace trust region approach for deep neural network training. - Viacheslav Dudar; Giovanni Chierchia; Emilie Chouzenoux; Jean-Christophe Pesquet; Vladimir Semenov (EUSIPCO, 2017)

SAR image despeckling through convolutional neural networks. - Giovanni Chierchia; Davide Cozzolino; Giovanni Poggi; Luisa Verdoliva (IGARSS, 2017)

Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering. - Giovanni Chierchia; Mireille El Gheche; Giuseppe Scarpa; Luisa Verdoliva (IEEE Trans. Geosci. Remote. Sens., 2017)

Rate Allocation in Predictive Video Coding Using a Convex Optimization Framework. - Aniello Fiengo; Giovanni Chierchia; Marco Cagnazzo; Béatrice Pesquet-Popescu (IEEE Trans. Image Process., 2017)

Convolutional Transform Learning. - Jyoti Maggu; Emilie Chouzenoux; Giovanni Chierchia; Angshul Majumdar (ICONIP (3), 2018)

Proximity Operators of Discrete Information Divergences. - Mireille El Gheche; Giovanni Chierchia; Jean-Christophe Pesquet (IEEE Trans. Inf. Theory, 2018)

Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. - Mireille El Gheche; Giovanni Chierchia; Pascal Frossard (ICASSP, 2019)

Ultrametric Fitting by Gradient Descent. - Giovanni Chierchia; Benjamin Perret (NeurIPS, 2019)

GOT: An Optimal Transport framework for Graph comparison. - Hermina Petric Maretic; Mireille El Gheche; Giovanni Chierchia; Pascal Frossard (NeurIPS, 2019)

A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression. - Luis M. Briceño-Arias; Giovanni Chierchia; Emilie Chouzenoux; Jean-Christophe Pesquet (Comput. Optim. Appl., 2019)

Higra: Hierarchical Graph Analysis. - Benjamin Perret; Giovanni Chierchia; Jean Cousty; Silvio Jamil Ferzoli Guimarães; Yukiko Kenmochi; Laurent Najman (SoftwareX, 2019)

ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. - Pooja Gupta; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (EUSIPCO, 2020)

Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. - Shikha Singh 001; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICASSP, 2020)

CGO: Multiband Astronomical Source Detection With Component-Graphs. - Thanh Xuan Nguyen; Giovanni Chierchia; Laurent Najman; Aku Venhola; Caroline Haigh; Reynier Peletier; Michael H. F. Wilkinson; Hugues Talbot; Benjamin Perret (ICIP, 2020)

Deep Convolutional Transform Learning. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICONIP (5), 2020)

Deep Convolutional Transform Learning - Extended version. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (CoRR, 2020)

DeConFuse: a deep convolutional transform-based unsupervised fusion framework. - Pooja Gupta; Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (EURASIP J. Adv. Signal Process., 2020)

Deeply transformed subspace clustering. - Jyoti Maggu; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Signal Process., 2020)

OrthoNet: Multilayer Network Data Clustering. - Mireille El Gheche; Giovanni Chierchia; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2020)

Yapa: Accelerated Proximal Algorithm for Convex Composite Problems. - Giovanni Chierchia; Mireille El Gheche (ICASSP, 2021)

Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images. - Thanh Xuan Nguyen; Giovanni Chierchia; Oleksandra Razim; Reynier F. Peletier; Laurent Najman; Hugues Talbot; Benjamin Perret (IEEE Access, 2021)

Machine-Learning-Assisted Intelligent Imaging Flow Cytometry: A Review. - Shaobo Luo; Yuzhi Shi; Lip Ket Chin; Paul Hutchinson; Yi Zhang; Giovanni Chierchia; Hugues Talbot; Xudong Jiang 001; Tarik Bourouina; Ai Qun Liu (Adv. Intell. Syst., 2021)

SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems. - Pooja Gupta; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Expert Syst. Appl., 2021)

fGOT: Graph Distances Based on Filters and Optimal Transport. - Hermina Petric Maretic; Mireille El Gheche; Giovanni Chierchia; Pascal Frossard (AAAI, 2022)

Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. - Shikha Singh 001; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICIP, 2022)

Deep Convolutional K-Means Clustering. - Anurag Goel; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (ICIP, 2022)

Contrastive Learning for Online Semi-Supervised General Continual Learning. - Nicolas Michel; Romain Negrel; Giovanni Chierchia; Jean-François Bercher (ICIP, 2022)

Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. - Shikha Singh 001; Emilie Chouzenoux; Giovanni Chierchia; Angshul Majumdar (ACM Trans. Knowl. Discov. Data, 2022)

Wasserstein-Based Graph Alignment. - Hermina Petric Maretic; Mireille El Gheche; Matthias Minder; Giovanni Chierchia; Pascal Frossard (IEEE Trans. Signal Inf. Process. over Networks, 2022)

Supervised Learning of Hierarchical Image Segmentation. - Raphael Lapertot; Giovanni Chierchia; Benjamin Perret (CIARP, 2023)

SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features. - Sarah Almeida Carneiro; Giovanni Chierchia; Jean Charléty; Aurélie Chataignon; Laurent Najman (MT-ITS, 2023)

Learning Representations on the Unit Sphere: Application to Online Continual Learning. - Nicolas Michel; Giovanni Chierchia; Romain Negrel; Jean-François Bercher (CoRR, 2023)

New metrics for analyzing continual learners. - Nicolas Michel; Giovanni Chierchia; Romain Negrel; Jean-François Bercher; Toshihiko Yamasaki (CoRR, 2023)

Domain-Aware Augmentations for Unsupervised Online General Continual Learning. - Nicolas Michel; Romain Negrel; Giovanni Chierchia; Jean-François Bercher (CoRR, 2023)

DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework. - Pooja Gupta; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Expert Syst. Appl., 2023)

Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning. - Nicolas Michel; Giovanni Chierchia; Romain Negrel; Jean-François Bercher (AAAI, 2024)

End-to-End Ultrametric Learning for Hierarchical Segmentation. - Raphael Lapertot; Giovanni Chierchia; Benjamin Perret (DGMM, 2024)

Clustering Dynamics for Improved Speed Prediction Deriving from Topographical GPS Registrations. - Sarah Almeida Carneiro; Giovanni Chierchia; Aurélie Pirayre; Laurent Najman (CoRR, 2024)

DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework. - Pooja Gupta; Anurag Goel; Angshul Majumdar; Emilie Chouzenoux; Giovanni Chierchia (Signal Process., 2024)