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ORCIDGiovanni Chierchia
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Journal Articles
- 2024
[j18]Pooja Gupta
, Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConFCluster: Deep Convolutional Transform Learning based multiview clustering fusion framework. Signal Process. 224: 109597 (2024)- 2023
- [j17]Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework. Expert Syst. Appl. 227: 120238 (2023) - 2022
- [j16]Shikha Singh, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar:
Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring. ACM Trans. Knowl. Discov. Data 16(5): 91:1-91:6 (2022) - [j15]Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard:
Wasserstein-Based Graph Alignment. IEEE Trans. Signal Inf. Process. over Networks 8: 353-363 (2022) - 2021
- [j14]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: 156482-156491 (2021) - [j13]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): 2100073 (2021) - [j12]Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems. Expert Syst. Appl. 169: 114206 (2021) - 2020
- [j11]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConFuse: a deep convolutional transform-based unsupervised fusion framework. EURASIP J. Adv. Signal Process. 2020(1): 26 (2020) - [j10]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deeply transformed subspace clustering. Signal Process. 174: 107628 (2020) - [j9]Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
OrthoNet: Multilayer Network Data Clustering. IEEE Trans. Signal Inf. Process. over Networks 6: 152-162 (2020) - 2019
- [j8]Luis M. Briceño-Arias, Giovanni Chierchia, Emilie 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): 707-726 (2019) - [j7]Benjamin Perret, Giovanni Chierchia, Jean Cousty, Silvio Jamil Ferzoli Guimarães, Yukiko Kenmochi, Laurent Najman:
Higra: Hierarchical Graph Analysis. SoftwareX 10: 100335 (2019) - 2018
- [j6]Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet:
Proximity Operators of Discrete Information Divergences. IEEE Trans. Inf. Theory 64(2): 1092-1104 (2018) - 2017
- [j5]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): 5467-5480 (2017) - [j4]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): 479-489 (2017) - 2015
- [j3]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): 1737-1749 (2015) - 2014
- [j2]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): 554-567 (2014) - [j1]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): 5531-5544 (2014)
Conference and Workshop Papers
- 2024
- [c32]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: 14350-14358 - [c31]Raphael Lapertot, Giovanni Chierchia, Benjamin Perret:
End-to-End Ultrametric Learning for Hierarchical Segmentation. DGMM 2024: 286-297 - 2023
- [c30]Raphael Lapertot, Giovanni Chierchia, Benjamin Perret:
Supervised Learning of Hierarchical Image Segmentation. CIARP 2023: 201-213 - [c29]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: 1-6 - 2022
- [c28]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
fGOT: Graph Distances Based on Filters and Optimal Transport. AAAI 2022: 7710-7718 - [c27]Shikha Singh, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. ICIP 2022: 206-210 - [c26]Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional K-Means Clustering. ICIP 2022: 211-215 - [c25]Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher:
Contrastive Learning for Online Semi-Supervised General Continual Learning. ICIP 2022: 1896-1900 - 2021
- [c24]Giovanni Chierchia, Mireille El Gheche:
Yapa: Accelerated Proximal Algorithm for Convex Composite Problems. ICASSP 2021: 5534-5538 - 2020
- [c23]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. EUSIPCO 2020: 1986-1990 - [c22]Shikha Singh, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. ICASSP 2020: 4287-4291 - [c21]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: 16-20 - [c20]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional Transform Learning. ICONIP (5) 2020: 300-307 - 2019
- [c19]Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. ICASSP 2019: 3567-3571 - [c18]Giovanni Chierchia, Benjamin Perret:
Ultrametric Fitting by Gradient Descent. NeurIPS 2019: 3175-3186 - [c17]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
GOT: An Optimal Transport framework for Graph comparison. NeurIPS 2019: 13876-13887 - 2018
- [c16]Jyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar:
Convolutional Transform Learning. ICONIP (3) 2018: 162-174 - 2017
- [c15]Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov:
A two-stage subspace trust region approach for deep neural network training. EUSIPCO 2017: 291-295 - [c14]Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
SAR image despeckling through convolutional neural networks. IGARSS 2017: 5438-5441 - 2016
- [c13]Aniello Fiengo, Giovanni Chierchia, Marco Cagnazzo, Béatrice Pesquet-Popescu:
Convex optimization for frame-level rate allocation in MV-HEVC. ICIP 2016: 2157-2161 - [c12]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet:
Random primal-dual proximal iterations for sparse multiclass SVM. MLSP 2016: 1-6 - 2014
- [c11]Paul Lauga, Giuseppe Valenzise, Giovanni Chierchia, Frédéric Dufaux:
Improved tone mapping operator for HDR coding optimizing the distortion/spatial complexity trade-off. EUSIPCO 2014: 1607-1611 - [c10]Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
Guided filtering for PRNU-based localization of small-size image forgeries. ICASSP 2014: 6231-6235 - [c9]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: 7328-7332 - [c8]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
Epigraphical proximal projection for sparse multiclass SVM. ICASSP 2014: 8312-8316 - 2013
- [c7]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: 1359-1363 - [c6]Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
PRNU-based forgery detection with regularity constraints and global optimization. MMSP 2013: 236-241 - 2012
- [c5]Raffaele Gaetano, Giovanni Chierchia, Béatrice Pesquet-Popescu:
Non-Local smoothness constraints for disparity estimation in a variational framework. EUSIPCO 2012: 1144-1148 - [c4]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
A proximal approach for constrained cosparse modelling. ICASSP 2012: 3433-3436 - [c3]Raffaele Gaetano, Giovanni Chierchia, Béatrice Pesquet-Popescu:
Parallel implementations of a disparity estimation algorithm based on a Proximal splitting method. VCIP 2012: 1-6 - 2011
- [c2]Giovanni Chierchia, Sara Parrilli, Giovanni Poggi, Luisa Verdoliva, Carlo Sansone:
PRNU-based detection of small-size image forgeries. DSP 2011: 1-6 - 2010
- [c1]Giovanni Chierchia, Sara Parrilli, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva:
On the influence of denoising in PRNU based forgery detection. MiFor@MM 2010: 117-122
Informal and Other Publications
- 2024
- [i22]Sarah Almeida Carneiro, Giovanni Chierchia, Aurélie Pirayre, Laurent Najman:
Clustering Dynamics for Improved Speed Prediction Deriving from Topographical GPS Registrations. CoRR abs/2402.07507 (2024) - 2023
- [i21]Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher:
Learning Representations on the Unit Sphere: Application to Online Continual Learning. CoRR abs/2306.03364 (2023) - [i20]Nicolas Michel, Giovanni Chierchia, Romain Negrel, Jean-François Bercher, Toshihiko Yamasaki:
New metrics for analyzing continual learners. CoRR abs/2309.00462 (2023) - [i19]Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher:
Domain-Aware Augmentations for Unsupervised Online General Continual Learning. CoRR abs/2309.06896 (2023) - [i18]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 abs/2310.02282 (2023) - 2022
- [i17]Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-François Bercher:
Contrastive Learning for Online Semi-Supervised General Continual Learning. CoRR abs/2207.05615 (2022) - 2021
- [i16]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
FGOT: Graph Distances based on Filters and Optimal Transport. CoRR abs/2109.04442 (2021) - 2020
- [i15]Hermina Petric Maretic, Mireille El Gheche, Matthias Minder, Giovanni Chierchia, Pascal Frossard:
Wasserstein-based Graph Alignment. CoRR abs/2003.06048 (2020) - [i14]Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
Deep Convolutional Transform Learning - Extended version. CoRR abs/2010.01011 (2020) - [i13]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis. CoRR abs/2011.04317 (2020) - [i12]Pooja Gupta, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
DeConFuse : A Deep Convolutional Transform based Unsupervised Fusion Framework. CoRR abs/2011.04337 (2020) - [i11]Pooja Gupta, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia:
SuperDeConFuse: A Supervised Deep Convolutional Transform based Fusion Framework for Financial Trading Systems. CoRR abs/2011.04364 (2020) - 2019
- [i10]Giovanni Chierchia, Benjamin Perret:
Ultrametric Fitting by Gradient Descent. CoRR abs/1905.10566 (2019) - [i9]Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
GOT: An Optimal Transport framework for Graph comparison. CoRR abs/1906.02085 (2019) - 2018
- [i8]Viacheslav Dudar, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet, Vladimir Semenov:
A Two-Stage Subspace Trust Region Approach for Deep Neural Network Training. CoRR abs/1805.09430 (2018) - [i7]Mireille El Gheche, Giovanni Chierchia, Pascal Frossard:
Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. CoRR abs/1812.05721 (2018) - 2017
- [i6]Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva:
SAR image despeckling through convolutional neural networks. CoRR abs/1704.00275 (2017) - [i5]Luis M. Briceño-Arias, Giovanni Chierchia, Emilie Chouzenoux, Jean-Christophe Pesquet:
A Random Block-Coordinate Douglas-Rachford Splitting Method with Low Computational Complexity for Binary Logistic Regression. CoRR abs/1712.09131 (2017) - 2016
- [i4]Mireille El Gheche, Giovanni Chierchia, Jean-Christophe Pesquet:
Proximity Operators of Discrete Information Divergences. CoRR abs/1606.09552 (2016) - 2015
- [i3]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
A Proximal Approach for Sparse Multiclass SVM. CoRR abs/1501.03669 (2015) - 2014
- [i2]Giovanni Chierchia, Nelly Pustelnik, Béatrice Pesquet-Popescu, Jean-Christophe Pesquet:
A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems. CoRR abs/1403.5403 (2014) - 2012
- [i1]Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Béatrice Pesquet-Popescu:
Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I. CoRR abs/1210.5844 (2012)
Coauthor Index
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last updated on 2024-08-23 19:25 CEST by the dblp team
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