Giovanni Chierchia

Publication Activity (10 Years)

Years Active: 2010-2024
Publications (10 Years): 55

Top Topics

Forgery Detection

Fusion Framework

Convex Optimization

Top Venues

Publications

Raphael Lapertot, Giovanni Chierchia, Benjamin Perret
End-to-End Ultrametric Learning for Hierarchical Segmentation. DGMM (2024)
Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning. AAAI (2024)
Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework. Signal Process. 224 (2024)
Sarah Almeida Carneiro, Giovanni Chierchia, Aurélie Pirayre, Laurent Najman
Clustering Dynamics for Improved Speed Prediction Deriving from Topographical GPS Registrations. CoRR (2024)
Raphael Lapertot, Giovanni Chierchia, Benjamin Perret
Supervised Learning of Hierarchical Image Segmentation. CIARP (2023)
Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher
Domain-Aware Augmentations for Unsupervised Online General Continual Learning. CoRR (2023)
Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher
Learning Representations on the Unit Sphere: Application to Online Continual Learning. CoRR (2023)
Sarah Almeida Carneiro, Giovanni Chierchia, Jean Charléty, Aurélie Chataignon, Laurent Najman
SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features. MT-ITS (2023)
Pooja Gupta, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework. Expert Syst. Appl. 227 (2023)
Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher, Toshihiko Yamasaki
New metrics for analyzing continual learners. CoRR (2023)
Sarah Almeida Carneiro, Giovanni Chierchia, Jean Charléty, Aurélie Chataignon, Laurent Najman
SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features. CoRR (2023)
Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard
Wasserstein-Based Graph Alignment. IEEE Trans. Signal Inf. Process. over Networks 8 (2022)
Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher
Contrastive Learning for Online Semi-Supervised General Continual Learning. ICIP (2022)
Shikha Singh, Émilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. ACM Trans. Knowl. Discov. Data 16 (5) (2022)
Anurag Goel, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Deep Convolutional K-Means Clustering. ICIP (2022)
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
fGOT: Graph Distances Based on Filters and Optimal Transport. AAAI (2022)
Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher
Contrastive Learning for Online Semi-Supervised General Continual Learning. CoRR (2022)
Shikha Singh, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. ICIP (2022)
Thanh Xuan Nguyen, Giovanni Chierchia, Oleksandra Razim, Reynier F. Peletier, Laurent Najman, Hugues Talbot, Benjamin Perret
Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images. IEEE Access 9 (2021)
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
FGOT: Graph Distances based on Filters and Optimal Transport. CoRR (2021)
Pooja Gupta, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems. Expert Syst. Appl. 169 (2021)
Shaobo Luo, Yuzhi Shi, Lip Ket Chin, Paul Hutchinson, Yi Zhang, Giovanni Chierchia, Hugues Talbot, Xudong Jiang, Tarik Bourouina, Ai Qun Liu
Machine-Learning-Assisted Intelligent Imaging Flow Cytometry: A Review. Adv. Intell. Syst. 3 (11) (2021)
Giovanni Chierchia, Mireille El Gheche
Yapa: Accelerated Proximal Algorithm for Convex Composite Problems. ICASSP (2021)
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework. CoRR (2020)
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. CoRR (2020)
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. EUSIPCO (2020)
Thanh Xuan Nguyen, Giovanni Chierchia, Laurent Najman, Aku Venhola, Caroline Haigh, Reynier Peletier, Michael H. F. Wilkinson, Hugues Talbot, Benjamin Perret
CGO: Multiband Astronomical Source Detection With Component-Graphs. ICIP (2020)
Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Deep Convolutional Transform Learning - Extended version. CoRR (2020)
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
DeConFuse: a deep convolutional transform-based unsupervised fusion framework. EURASIP J. Adv. Signal Process. 2020 (1) (2020)
Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard
Wasserstein-based Graph Alignment. CoRR (2020)
Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Deep Convolutional Transform Learning. ICONIP (5) (2020)
Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Deeply transformed subspace clustering. Signal Process. 174 (2020)
Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
OrthoNet: Multilayer Network Data Clustering. IEEE Trans. Signal Inf. Process. over Networks 6 (2020)
Shikha Singh, Jyoti Maggu, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. ICASSP (2020)
Pooja Gupta, Angshul Majumdar, Émilie Chouzenoux, Giovanni Chierchia
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems. CoRR (2020)
Luis M. Briceño-Arias, Giovanni Chierchia, Émilie Chouzenoux, Jean-Christophe Pesquet
A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression. Comput. Optim. Appl. 72 (3) (2019)
Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. ICASSP (2019)
Giovanni Chierchia, Benjamin Perret
Ultrametric Fitting by Gradient Descent. CoRR (2019)
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
GOT: An Optimal Transport framework for Graph comparison. CoRR (2019)
Giovanni Chierchia, Benjamin Perret
Ultrametric Fitting by Gradient Descent. NeurIPS (2019)
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
GOT: An Optimal Transport framework for Graph comparison. NeurIPS (2019)
Benjamin Perret, Giovanni Chierchia, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Laurent Najman
Higra: Hierarchical Graph Analysis. SoftwareX 10 (2019)
Viacheslav Dudar, Giovanni Chierchia, Émilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training. CoRR (2018)
Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet
Proximity Operators of Discrete Information Divergences. IEEE Trans. Inf. Theory 64 (2) (2018)
Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. CoRR (2018)
Jyoti Maggu, Émilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar
Convolutional Transform Learning. ICONIP (3) (2018)
Aniello Fiengo, Giovanni Chierchia, Marco Cagnazzo, Béatrice Pesquet-Popescu
Rate Allocation in Predictive Video Coding Using a Convex Optimization Framework. IEEE Trans. Image Process. 26 (1) (2017)
Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva
SAR image despeckling through convolutional neural networks. CoRR (2017)
Luis M. Briceño-Arias, Giovanni Chierchia, Émilie Chouzenoux, Jean-Christophe Pesquet
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression. CoRR (2017)
Giovanni Chierchia, Mireille El Gheche, Giuseppe Scarpa, Luisa Verdoliva
Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering. IEEE Trans. Geosci. Remote. Sens. 55 (10) (2017)
Viacheslav Dudar, Giovanni Chierchia, Émilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov
A two-stage subspace trust region approach for deep neural network training. EUSIPCO (2017)
Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva
SAR image despeckling through convolutional neural networks. IGARSS (2017)
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet
Random primal-dual proximal iterations for sparse multiclass SVM. MLSP (2016)
Aniello Fiengo, Giovanni Chierchia, Marco Cagnazzo, Béatrice Pesquet-Popescu
Convex optimization for frame-level rate allocation in MV-HEVC. ICIP (2016)
Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet
Proximity Operators of Discrete Information Divergences. CoRR (2016)
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
Epigraphical projection and proximal tools for solving constrained convex optimization problems. Signal Image Video Process. 9 (8) (2015)
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
A Proximal Approach for Sparse Multiclass SVM. CoRR (2015)
Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection. IEEE Trans. Inf. Forensics Secur. 9 (4) (2014)
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
Epigraphical proximal projection for sparse multiclass SVM. ICASSP (2014)
Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems. IEEE Trans. Image Process. 23 (12) (2014)
Aniello Fiengo, Giovanni Chierchia, Marco Cagnazzo, Béatrice Pesquet-Popescu
A convex-optimization framework for frame-level optimal rate allocation in predictive video coding. ICASSP (2014)
Paul Lauga, Giuseppe Valenzise, Giovanni Chierchia, Frédéric Dufaux
Improved tone mapping operator for HDR coding optimizing the distortion/spatial complexity trade-off. EUSIPCO (2014)
Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
Guided filtering for PRNU-based localization of small-size image forgeries. ICASSP (2014)
Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems. CoRR (2014)
Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
PRNU-based forgery detection with regularity constraints and global optimization. MMSP (2013)
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor. ICASSP (2013)
Raffaele Gaetano, Giovanni Chierchia, Béatrice Pesquet-Popescu
Parallel implementations of a disparity estimation algorithm based on a Proximal splitting method. VCIP (2012)
Raffaele Gaetano, Giovanni Chierchia, Béatrice Pesquet-Popescu
Non-Local smoothness constraints for disparity estimation in a variational framework. EUSIPCO (2012)
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I CoRR (2012)
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
A proximal approach for constrained cosparse modelling. ICASSP (2012)
Giovanni Chierchia, Sara Parrilli, Giovanni Poggi, Luisa Verdoliva, Carlo Sansone
PRNU-based detection of small-size image forgeries. DSP (2011)
Giovanni Chierchia, Sara Parrilli, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
On the influence of denoising in PRNU based forgery detection. MiFor@MM (2010)