Giovanni Chierchia

Aurélie Pirayre

Laurent Najman

CoRR, 2024

End-to-End Ultrametric Learning for Hierarchical Segmentation.

[BibT_eX]

[DOI]

Raphael Lapertot

Proceedings of the Discrete Geometry and Mathematical Morphology, 2024

Learning Representations on the Unit Sphere: Investigating Angular Gaussian and Von Mises-Fisher Distributions for Online Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the Thirty-Eighth AAAI Conference on Artificial Intelligence, 2024

2023

DeConDFFuse : Predicting drug-drug interaction using joint deep convolutional transform learning and decision forest fusion framework.

[BibT_eX]

[DOI]

Expert Syst. Appl., October, 2023

Domain-Aware Augmentations for Unsupervised Online General Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

New metrics for analyzing continual learners.

[BibT_eX]

[DOI]

Toshihiko Yamasaki

CoRR, 2023

Learning Representations on the Unit Sphere: Application to Online Continual Learning.

[BibT_eX]

[DOI]

CoRR, 2023

SWMLP: Shared Weight Multilayer Perceptron for Car Trajectory Speed Prediction using Road Topographical Features.

[BibT_eX]

[DOI]

Sarah Almeida Carneiro

Proceedings of the 8th International Conference on Models and Technologies for Intelligent Transportation Systems, 2023

Supervised Learning of Hierarchical Image Segmentation.

[BibT_eX]

[DOI]

Raphael Lapertot

Proceedings of the Progress in Pattern Recognition, Image Analysis, Computer Vision, and Applications, 2023

2022

Wasserstein-Based Graph Alignment.

[BibT_eX]

[DOI]

Hermina Petric Maretic

IEEE Trans. Signal Inf. Process. over Networks, 2022

Multi-label Deep Convolutional Transform Learning for Non-intrusive Load Monitoring.

[BibT_eX]

[DOI]

ACM Trans. Knowl. Discov. Data, 2022

Contrastive Learning for Online Semi-Supervised General Continual Learning.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Deep Convolutional K-Means Clustering.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

Semi-supervised Deep Convolutional Transform Learning for Hyperspectral Image Classification.

[BibT_eX]

[DOI]

Proceedings of the 2022 IEEE International Conference on Image Processing, 2022

fGOT: Graph Distances Based on Filters and Optimal Transport.

[BibT_eX]

[DOI]

Hermina Petric Maretic

Proceedings of the Thirty-Sixth AAAI Conference on Artificial Intelligence, 2022

2021

SuperDeConFuse: A supervised deep convolutional transform based fusion framework for financial trading systems.

[BibT_eX]

[DOI]

Expert Syst. Appl., 2021

Machine-Learning-Assisted Intelligent Imaging Flow Cytometry: A Review.

[BibT_eX]

[DOI]

Adv. Intell. Syst., 2021

Object Detection With Component-Graphs in Multi-Band Images: Application to Source Detection in Astronomical Images.

[BibT_eX]

[DOI]

IEEE Access, 2021

Yapa: Accelerated Proximal Algorithm for Convex Composite Problems.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2021

2020

OrthoNet: Multilayer Network Data Clustering.

[BibT_eX]

[DOI]

IEEE Trans. Signal Inf. Process. over Networks, 2020

Deeply transformed subspace clustering.

[BibT_eX]

[DOI]

Signal Process., 2020

DeConFuse: a deep convolutional transform-based unsupervised fusion framework.

[BibT_eX]

[DOI]

EURASIP J. Adv. Signal Process., 2020

Deep Convolutional Transform Learning - Extended version.

[BibT_eX]

[DOI]

CoRR, 2020

Deep Convolutional Transform Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 27th International Conference, 2020

CGO: Multiband Astronomical Source Detection With Component-Graphs.

[BibT_eX]

[DOI]

Michael H. F. Wilkinson

Hugues Talbot

Proceedings of the IEEE International Conference on Image Processing, 2020

Multi-Label Consistent Convolutional Transform Learning: Application to Non-Intrusive Load Monitoring.

[BibT_eX]

[DOI]

Proceedings of the 2020 IEEE International Conference on Acoustics, 2020

ConFuse: Convolutional Transform Learning Fusion Framework For Multi-Channel Data Analysis.

[BibT_eX]

[DOI]

Proceedings of the 28th European Signal Processing Conference, 2020

2019

Higra: Hierarchical Graph Analysis.

[BibT_eX]

[DOI]

Silvio Jamil Ferzoli Guimarães

Jean Cousty

Yukiko Kenmochi

Laurent Najman

SoftwareX, 2019

A random block-coordinate Douglas-Rachford splitting method with low computational complexity for binary logistic regression.

[BibT_eX]

[DOI]

Luis M. Briceño-Arias

Émilie Chouzenoux

Comput. Optim. Appl., 2019

GOT: An Optimal Transport framework for Graph comparison.

[BibT_eX]

[DOI]

Hermina Petric Maretic

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Ultrametric Fitting by Gradient Descent.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 32: Annual Conference on Neural Information Processing Systems 2019, 2019

Stochastic Gradient Descent for Spectral Embedding with Implicit Orthogonality Constraint.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2019

2018

Proximity Operators of Discrete Information Divergences.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Theory, 2018

Convolutional Transform Learning.

[BibT_eX]

[DOI]

Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017

Rate Allocation in Predictive Video Coding Using a Convex Optimization Framework.

[BibT_eX]

[DOI]

Aniello Fiengo

Marco Cagnazzo

IEEE Trans. Image Process., 2017

Multitemporal SAR Image Despeckling Based on Block-Matching and Collaborative Filtering.

[BibT_eX]

[DOI]

IEEE Trans. Geosci. Remote. Sens., 2017

SAR image despeckling through convolutional neural networks.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE International Geoscience and Remote Sensing Symposium, 2017

A two-stage subspace trust region approach for deep neural network training.

[BibT_eX]

[DOI]

Viacheslav Dudar

Émilie Chouzenoux

Vladimir Semenov

Proceedings of the 25th European Signal Processing Conference, 2017

2016

Random primal-dual proximal iterations for sparse multiclass SVM.

[BibT_eX]

[DOI]

Proceedings of the 26th IEEE International Workshop on Machine Learning for Signal Processing, 2016

Convex optimization for frame-level rate allocation in MV-HEVC.

[BibT_eX]

[DOI]

Aniello Fiengo

Marco Cagnazzo

Proceedings of the 2016 IEEE International Conference on Image Processing, 2016

2015

Epigraphical projection and proximal tools for solving constrained convex optimization problems.

[BibT_eX]

[DOI]

Signal Image Video Process., 2015

A Proximal Approach for Sparse Multiclass SVM.

[BibT_eX]

[DOI]

CoRR, 2015

2014

A Nonlocal Structure Tensor-Based Approach for Multicomponent Image Recovery Problems.

[BibT_eX]

[DOI]

IEEE Trans. Image Process., 2014

A Bayesian-MRF Approach for PRNU-Based Image Forgery Detection.

[BibT_eX]

[DOI]

IEEE Trans. Inf. Forensics Secur., 2014

A Non-Local Structure Tensor Based Approach for Multicomponent Image Recovery Problems.

[BibT_eX]

[DOI]

CoRR, 2014

A convex-optimization framework for frame-level optimal rate allocation in predictive video coding.

[BibT_eX]

[DOI]

Aniello Fiengo

Marco Cagnazzo

Proceedings of the IEEE International Conference on Acoustics, 2014

Epigraphical proximal projection for sparse multiclass SVM.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Guided filtering for PRNU-based localization of small-size image forgeries.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2014

Improved tone mapping operator for HDR coding optimizing the distortion/spatial complexity trade-off.

[BibT_eX]

[DOI]

Proceedings of the 22nd European Signal Processing Conference, 2014

2013

PRNU-based forgery detection with regularity constraints and global optimization.

[BibT_eX]

[DOI]

Proceedings of the 15th IEEE International Workshop on Multimedia Signal Processing, 2013

An epigraphical convex optimization approach for multicomponent image restoration using non-local structure tensor.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2013

2012

Epigraphical Projection and Proximal Tools for Solving Constrained Convex Optimization Problems: Part I

[BibT_eX]

[DOI]

CoRR, 2012

Parallel implementations of a disparity estimation algorithm based on a Proximal splitting method.

[BibT_eX]

[DOI]

Raffaele Gaetano

Proceedings of the 2012 Visual Communications and Image Processing, 2012

A proximal approach for constrained cosparse modelling.

[BibT_eX]

[DOI]

Proceedings of the 2012 IEEE International Conference on Acoustics, 2012

Non-Local smoothness constraints for disparity estimation in a variational framework.

[BibT_eX]

[DOI]

Raffaele Gaetano