Xavier Bresson

Orcid: 0000-0002-7109-461X

According to our database1, Xavier Bresson authored at least 93 papers between 2002 and 2024.

Collaborative distances:

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

On csauthors.net:

Bibliography

2024
Advancing Graph Convolutional Networks via General Spectral Wavelets.
CoRR, 2024

G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering.
CoRR, 2024

Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification.
CoRR, 2024

The 1st International Workshop on Graph Foundation Models (GFM).
Proceedings of the Companion Proceedings of the ACM on Web Conference 2024, 2024

Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Feature Collapse.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023

Benchmarking Graph Neural Networks.
J. Mach. Learn. Res., 2023

Graph Transformers for Large Graphs.
CoRR, 2023

Explanations as Features: LLM-Based Features for Text-Attributed Graphs.
CoRR, 2023

Reconstruction of short genomic sequences with graph convolutional networks.
Proceedings of the 46th MIPRO ICT and Electronics Convention, 2023

A Generalization of ViT/MLP-Mixer to Graphs.
Proceedings of the International Conference on Machine Learning, 2023

Long-Tailed Learning Requires Feature Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

2022
Multigraph Transformer for Free-Hand Sketch Recognition.
IEEE Trans. Neural Networks Learn. Syst., 2022

Learning to Untangle Genome Assembly with Graph Convolutional Networks.
CoRR, 2022

A Model of One-Shot Generalization.
CoRR, 2022

Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem.
CoRR, 2022

Graph Neural Networks with Learnable Structural and Positional Representations.
Proceedings of the Tenth International Conference on Learning Representations, 2022

2021
The Transformer Network for the Traveling Salesman Problem.
CoRR, 2021

Semantic Role Aware Correlation Transformer For Text To Video Retrieval.
Proceedings of the 2021 IEEE International Conference on Image Processing, 2021

2020
An Experimental Study of the Transferability of Spectral Graph Networks.
CoRR, 2020

A Generalization of Transformer Networks to Graphs.
CoRR, 2020

Learning TSP Requires Rethinking Generalization.
CoRR, 2020

Benchmarking Graph Neural Networks.
CoRR, 2020

2019
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters.
IEEE Trans. Signal Process., 2019

Multi-Graph Transformer for Free-Hand Sketch Recognition.
CoRR, 2019

On Learning Paradigms for the Travelling Salesman Problem.
CoRR, 2019

A Two-Step Graph Convolutional Decoder for Molecule Generation.
CoRR, 2019

An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem.
CoRR, 2019

GraphTSNE: A Visualization Technique for Graph-Structured Data.
CoRR, 2019

2018
Structured Sequence Modeling with Graph Convolutional Recurrent Networks.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

An Experimental Study of Neural Networks for Variable Graphs.
Proceedings of the 6th International Conference on Learning Representations, 2018

Deep Geometric Matrix Completion: A New Way for Recommender Systems.
Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

An Experimental Comparison of Text Classification Techniques.
Proceedings of the 2018 International Conference on Cyberworlds, 2018

2017
FMA: A Dataset For Music Analysis.
Dataset, May, 2017

Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems.
NeuroImage, 2017

Residual Gated Graph ConvNets.
CoRR, 2017

Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks.
Proceedings of the Advances in Neural Information Processing Systems 30: Annual Conference on Neural Information Processing Systems 2017, 2017

FMA: A Dataset for Music Analysis.
Proceedings of the 18th International Society for Music Information Retrieval Conference, 2017

2016
Consistency of Cheeger and Ratio Graph Cuts.
J. Mach. Learn. Res., 2016

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

The Product Cut.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Source localization on graphs via ℓ1 recovery and spectral graph theory.
Proceedings of the IEEE 12th Image, Video, and Multidimensional Signal Processing Workshop, 2016

Song recommendation with non-negative matrix factorization and graph total variation.
Proceedings of the 2016 IEEE International Conference on Acoustics, 2016

2015
Adaptive Regularization With the Structure Tensor.
IEEE Trans. Image Process., 2015

An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization.
NeuroImage, 2015

Robust Principal Component Analysis on Graphs.
Proceedings of the 2015 IEEE International Conference on Computer Vision, 2015

Enhanced lasso recovery on graph.
Proceedings of the 23rd European Signal Processing Conference, 2015

Functional correspondence by matrix completion.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge.
IEEE Trans. Medical Imaging, 2014

Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches.
IEEE Trans. Image Process., 2014

Harmonic Active Contours.
IEEE Trans. Image Process., 2014

Multi-class Transductive Learning Based on ℓ 1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model.
J. Math. Imaging Vis., 2014

Matrix Completion on Graphs.
CoRR, 2014

An Incremental Reseeding Strategy for Clustering.
CoRR, 2014

Efficient Total Variation Algorithm for Fetal Brain MRI Reconstruction.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention - MICCAI 2014, 2014

2013
Enhanced Compressed Sensing Recovery With Level Set Normals.
IEEE Trans. Image Process., 2013

Multiclass Total Variation Clustering.
Proceedings of the Advances in Neural Information Processing Systems 26: 27th Annual Conference on Neural Information Processing Systems 2013. Proceedings of a meeting held December 5-8, 2013

2012
Efficient Algorithm for Level Set Method Preserving Distance Function.
IEEE Trans. Image Process., 2012

Completely Convex Formulation of the Chan-Vese Image Segmentation Model.
Int. J. Comput. Vis., 2012

TV-SVM: Total Variation Support Vector Machine for Semi-Supervised Data Classification
CoRR, 2012

Convergence and Energy Landscape for Cheeger Cut Clustering.
Proceedings of the Advances in Neural Information Processing Systems 25: 26th Annual Conference on Neural Information Processing Systems 2012. Proceedings of a meeting held December 3-6, 2012

2011
Geodesic Active Fields - A Geometric Framework for Image Registration.
IEEE Trans. Image Process., 2011

Nonlocal Mumford-Shah Regularizers for Color Image Restoration.
IEEE Trans. Image Process., 2011

Active deformation fields: Dense deformation field estimation for atlas-based segmentation using the active contour framework.
Medical Image Anal., 2011

Surface Reconstruction Using Power Watershed.
Proceedings of the Mathematical Morphology and Its Applications to Image and Signal Processing, 2011

An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Harmonic active contours for multichannel image segmentation.
Proceedings of the 18th IEEE International Conference on Image Processing, 2011

2010
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction.
SIAM J. Imaging Sci., 2010

Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction.
J. Sci. Comput., 2010

Segmentation for Hyperspectral Images with Priors.
Proceedings of the Advances in Visual Computing - 6th International Symposium, 2010

Total Variation, Cheeger Cuts.
Proceedings of the 27th International Conference on Machine Learning (ICML-10), 2010

2009
Local Histogram Based Segmentation Using the Wasserstein Distance.
Int. J. Comput. Vis., 2009

Semi-supervised Segmentation Based on Non-local Continuous Min-Cut.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2009

Color Image Restoration Using Nonlocal Mumford-Shah Regularizers.
Proceedings of the Energy Minimization Methods in Computer Vision and Pattern Recognition, 2009

2008
An Active Contour-Based Atlas Registration Model Applied to Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation.
Proceedings of the Medical Image Computing and Computer-Assisted Intervention, 2008

Fast texture segmentation model based on the shape operator and active contour.
Proceedings of the 2008 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (CVPR 2008), 2008

2007
Representing Diffusion MRI in 5-D Simplifies Regularization and Segmentation of White Matter Tracts.
IEEE Trans. Medical Imaging, 2007

Scale Space Analysis and Active Contours for Omnidirectional Images.
IEEE Trans. Image Process., 2007

A level set method for segmentation of the thalamus and its nuclei in DT-MRI.
Signal Process., 2007

Fast Global Minimization of the Active Contour/Snake Model.
J. Math. Imaging Vis., 2007

Active Contours Based on Chambolle's Mean Curvature Motion.
Proceedings of the International Conference on Image Processing, 2007

Registration of multiple regions derived from the optical flow model and the active contour framework.
Proceedings of the 15th European Signal Processing Conference, 2007

2006
Multiscale Active Contours.
Int. J. Comput. Vis., 2006

A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional.
Int. J. Comput. Vis., 2006

Image Segmentation Model using Active Contour and Image Decomposition.
Proceedings of the International Conference on Image Processing, 2006

Dense deformation field estimation for atlas registration using the active contour framework.
Proceedings of the 14th European Signal Processing Conference, 2006

2005
White matter fiber tract segmentation in DT-MRI using geometric flows.
Medical Image Anal., 2005

Representing Diffusion MRI in 5D for Segmentation of White Matter Tracts with a Level Set Method.
Proceedings of the Information Processing in Medical Imaging, 2005

2003
A priori information in image segmentation: energy functional based on shape statistical model and image information.
Proceedings of the 2003 International Conference on Image Processing, 2003

White Matter Mapping in DT-MRI Using Geometric Flows.
Proceedings of the Computer Aided Systems Theory, 2003

2002
Geometric Moments in Scale-Spaces.
Proceedings of the 16th International Conference on Pattern Recognition, 2002


  Loading...