| 2024 | AAAI | 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-Franois Bercher |
| 2023 | CIARP | Supervised Learning of Hierarchical Image Segmentation. | Raphael Lapertot, Giovanni Chierchia, Benjamin Perret |
| 2022 | AAAI | fGOT: Graph Distances Based on Filters and Optimal Transport. | Hermina Petric Maretic, Mireille El Gheche, Giovanni Chierchia, Pascal Frossard |
| 2022 | ICIP | Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification. | Shikha Singh, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia |
| 2022 | ICIP | Deep Convolutional K-Means Clustering. | Anurag Goel, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia |
| 2022 | ICIP | Contrastive Learning for Online Semi-Supervised General Continual Learning. | Nicolas Michel, Romain Negrel, Giovanni Chierchia, Jean-Franois Bercher |
| 2021 | ICASSP | Yapa: Accelerated Proximal Algorithm for Convex Composite Problems. | Giovanni Chierchia, Mireille El Gheche |
| 2020 | ICASSP | Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring. | Shikha Singh, Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia |
| 2020 | ICIP | 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 |
| 2020 | ICONIP | Deep Convolutional Transform Learning. | Jyoti Maggu, Angshul Majumdar, Emilie Chouzenoux, Giovanni Chierchia |
| 2019 | ICASSP | Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint. | Mireille El Gheche, Giovanni Chierchia, Pascal Frossard |
| 2018 | ICONIP | Convolutional Transform Learning. | Jyoti Maggu, Emilie Chouzenoux, Giovanni Chierchia, Angshul Majumdar |
| 2017 | IGARSS | SAR image despeckling through convolutional neural networks. | Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Luisa Verdoliva |
| 2016 | ICIP | Convex optimization for frame-level rate allocation in MV-HEVC. | Aniello Fiengo, Giovanni Chierchia, Marco Cagnazzo, Batrice Pesquet-Popescu |
| 2014 | ICASSP | Guided filtering for PRNU-based localization of small-size image forgeries. | Giovanni Chierchia, Davide Cozzolino, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva |
| 2014 | ICASSP | Epigraphical proximal projection for sparse multiclass SVM. | Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Batrice Pesquet-Popescu |
| 2014 | ICASSP | A convex-optimization framework for frame-level optimal rate allocation in predictive video coding. | Aniello Fiengo, Giovanni Chierchia, Marco Cagnazzo, Batrice Pesquet-Popescu |
| 2013 | ICASSP | An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor. | Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Batrice Pesquet-Popescu |
| 2013 | MMSP | PRNU-based forgery detection with regularity constraints and global optimization. | Giovanni Chierchia, Giovanni Poggi, Carlo Sansone, Luisa Verdoliva |
| 2012 | ICASSP | A proximal approach for constrained cosparse modelling. | Giovanni Chierchia, Nelly Pustelnik, Jean-Christophe Pesquet, Batrice Pesquet-Popescu |
| 2012 | VCIP | Parallel implementations of a disparity estimation algorithm based on a Proximal splitting method. | Raffaele Gaetano, Giovanni Chierchia, Batrice Pesquet-Popescu |