Giovanni Chierchia

74 papers A* 4B 5C 4Misc 8Journal 41Unranked 12
YearRankTypeTitle / Venue / Authors
2025 — conf
Network-Wide Traffic Volume Estimation from Speed Profiles Using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention.
ITSC
Léo Hein, Giovanni De Nunzio, Giovanni Chierchia, Aurélie Pirayre, Laurent Najman
2025 J jnl
Network-Wide Traffic Volume Estimation from Speed Profiles using a Spatio-Temporal Graph Neural Network with Directed Spatial Attention.
CoRR
Léo Hein, Giovanni De Nunzio, Giovanni Chierchia, Aurélie Pirayre, Laurent Najman
2024 J jnl
Clustering Dynamics for Improved Speed Prediction Deriving from Topographical GPS Registrations.
CoRR
Sarah Almeida Carneiro, Giovanni Chierchia, Aurélie Pirayre, Laurent Najman
2024 J jnl
DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework.
Signal Process.
Pooja Gupta, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2024 — conf
End-to-End Ultrametric Learning for Hierarchical Segmentation.
DGMM
Raphael Lapertot, Giovanni Chierchia, Benjamin Perret
2024 A* conf
Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning.
AAAI
Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher
2023 J jnl
DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework.
Expert Syst. Appl.
Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2023 J jnl
Domain-Aware Augmentations for Unsupervised Online General Continual Learning.
CoRR
Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher
2023 J jnl
Learning Representations on the Unit Sphere: Application to Online Continual Learning.
CoRR
Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher
2023 J jnl
New metrics for analyzing continual learners.
CoRR
Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher, Toshihiko Yamasaki
2023 — conf
SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features.
MT-ITS
Sarah Almeida Carneiro, Giovanni Chierchia, Jean Charléty, Aurélie Chataignon, Laurent Najman
2023 J jnl
SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features.
CoRR
Sarah Almeida Carneiro, Giovanni Chierchia, Jean Charléty, Aurélie Chataignon, Laurent Najman
2023 C conf
Supervised Learning of Hierarchical Image Segmentation.
CIARP
Raphael Lapertot, Giovanni Chierchia, Benjamin Perret
2022 B conf
Contrastive Learning for Online Semi-Supervised General Continual Learning.
ICIP
Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher
2022 J jnl
Contrastive Learning for Online Semi-Supervised General Continual Learning.
CoRR
Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher
2022 B conf
Deep Convolutional K-Means Clustering.
ICIP
Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2022 J jnl
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring.
ACM Trans. Knowl. Discov. Data
Shikha Singh, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar
2022 B conf
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification.
ICIP
Shikha Singh, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2022 J jnl
Wasserstein-Based Graph Alignment.
IEEE Trans. Signal Inf. Process. over Networks
Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard
2022 A* conf
fGOT: Graph Distances Based on Filters and Optimal Transport.
AAAI
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2021 J jnl
FGOT: Graph Distances based on Filters and Optimal Transport.
CoRR
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2021 J jnl
Machine-Learning-Assisted Intelligent Imaging Flow Cytometry: A Review.
Adv. Intell. Syst.
Shaobo Luo, Yuzhi Shi, Lip Ket Chin, Paul Hutchinson, Yi Zhang, Giovanni Chierchia, Hugues Talbot, Xudong Jiang, Tarik Bourouina, Ai Qun Liu
2021 J jnl
Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images.
IEEE Access
Thanh Xuan Nguyen, Giovanni Chierchia, Oleksandra Razim, Reynier F. Peletier, Laurent Najman, Hugues Talbot, Benjamin Perret
2021 J jnl
SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems.
Expert Syst. Appl.
Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2021 Misc conf
Yapa: Accelerated Proximal Algorithm for Convex Composite Problems.
ICASSP
Giovanni Chierchia, Mireille El Gheche
2020 B conf
CGO: Multiband Astronomical Source Detection With Component-Graphs.
ICIP
Thanh Xuan Nguyen, Giovanni Chierchia, Laurent Najman, Aku Venhola, Caroline Haigh, Reynier Peletier, Michael H. F. Wilkinson, Hugues Talbot, Benjamin Perret
2020 — conf
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis.
EUSIPCO
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2020 J jnl
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis.
CoRR
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2020 J jnl
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework.
CoRR
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2020 J jnl
DeConFuse: a deep convolutional transform-based unsupervised fusion framework.
EURASIP J. Adv. Signal Process.
Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2020 J jnl
Deep Convolutional Transform Learning - Extended version.
CoRR
Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2020 — conf
Deep Convolutional Transform Learning.
ICONIP (5)
Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2020 J jnl
Deeply transformed subspace clustering.
Signal Process.
Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2020 Misc conf
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring.
ICASSP
Shikha Singh, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2020 J jnl
OrthoNet: Multilayer Network Data Clustering.
IEEE Trans. Signal Inf. Process. over Networks
Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2020 J jnl
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems.
CoRR
Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia
2020 J jnl
Wasserstein-based Graph Alignment.
CoRR
Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard
2019 J jnl
A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression.
Comput. Optim. Appl.
Luis M. Briceño-Arias, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet
2019 A* conf
GOT: An Optimal Transport framework for Graph comparison.
NeurIPS
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2019 J jnl
GOT: An Optimal Transport framework for Graph comparison.
CoRR
Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2019 J jnl
Higra: Hierarchical Graph Analysis.
SoftwareX
Benjamin Perret, Giovanni Chierchia, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Laurent Najman
2019 Misc conf
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint.
ICASSP
Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2019 A* conf
Ultrametric Fitting by Gradient Descent.
NeurIPS
Giovanni Chierchia, Benjamin Perret
2019 J jnl
Ultrametric Fitting by Gradient Descent.
CoRR
Giovanni Chierchia, Benjamin Perret
2018 J jnl
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training.
CoRR
Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov
2018 — conf
Convolutional Transform Learning.
ICONIP (3)
Jyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar
2018 J jnl
Proximity Operators of Discrete Information Divergences.
IEEE Trans. Inf. Theory
Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet
2018 J jnl
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint.
CoRR
Mireille El Gheche, Giovanni Chierchia, Pascal Frossard
2017 J jnl
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression.
CoRR
Luis M. Briceño-Arias, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet
2017 — conf
A two-stage subspace trust region approach for deep neural network training.
EUSIPCO
Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov
2017 J jnl
Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering.
IEEE Trans. Geosci. Remote. Sens.
Giovanni Chierchia, Mireille El Gheche, Giuseppe Scarpa, Luisa Verdoliva
2017 J jnl
Rate Allocation in Predictive Video Coding Using a Convex Optimization Framework.
IEEE Trans. Image Process.
Aniello Fiengo, Giovanni Chierchia, Marco Cagnazzo, Béatrice Pesquet-Popescu
2017 C conf
SAR image despeckling through convolutional neural networks.
IGARSS
Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva
2017 J jnl
SAR image despeckling through convolutional neural networks.
CoRR
Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva
2016 B conf
Convex optimization for frame-level rate allocation in MV-HEVC.
ICIP
Aniello Fiengo, Giovanni Chierchia, Marco Cagnazzo, Béatrice Pesquet-Popescu
2016 J jnl
Proximity Operators of Discrete Information Divergences.
CoRR
Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet
2016 — conf
Random primal-dual proximal iterations for sparse multiclass SVM.
MLSP
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet
2015 J jnl
A Proximal Approach for Sparse Multiclass SVM.
CoRR
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2015 J jnl
Epigraphical projection and proximal tools for solving constrained convex optimization problems.
Signal Image Video Process.
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2014 J jnl
A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection.
IEEE Trans. Inf. Forensics Secur.
Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
2014 J jnl
A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems.
CoRR
Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2014 J jnl
A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems.
IEEE Trans. Image Process.
Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet
2014 Misc conf
A convex-optimization framework for frame-level optimal rate allocation in predictive video coding.
ICASSP
Aniello Fiengo, Giovanni Chierchia, Marco Cagnazzo, Béatrice Pesquet-Popescu
2014 Misc conf
Epigraphical proximal projection for sparse multiclass SVM.
ICASSP
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2014 Misc conf
Guided filtering for PRNU-based localization of small-size image forgeries.
ICASSP
Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
2014 — conf
Improved tone mapping operator for HDR coding optimizing the distortion/spatial complexity trade-off.
EUSIPCO
Paul Lauga, Giuseppe Valenzise, Giovanni Chierchia, Frédéric Dufaux
2013 Misc conf
An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor.
ICASSP
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2013 C conf
PRNU-based forgery detection with regularity constraints and global optimization.
MMSP
Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva
2012 Misc conf
A proximal approach for constrained cosparse modelling.
ICASSP
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2012 J jnl
Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I
CoRR
Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu
2012 — conf
Non-Local smoothness constraints for disparity estimation in a variational framework.
EUSIPCO
Raffaele Gaetano, Giovanni Chierchia, Béatrice Pesquet-Popescu
2012 C conf
Parallel implementations of a disparity estimation algorithm based on a Proximal splitting method.
VCIP
Raffaele Gaetano, Giovanni Chierchia, Béatrice Pesquet-Popescu
2011 — conf
PRNU-based detection of small-size image forgeries.
DSP
Giovanni Chierchia, Sara Parrilli, Giovanni Poggi, Luisa Verdoliva, Carlo Sansone
2010 — conf
On the influence of denoising in PRNU based forgery detection.
MiFor@MM
Giovanni Chierchia, Sara Parrilli, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva