Xavier Bresson · National University of Singapore

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Xiaoxin He
PhD student · until 2025 · National University of Singapore
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Works122 from public data

TitleCited by

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering
arXiv · 2016
1,693
Structured Sequence Modeling with Graph Convolutional Recurrent Networks
Youngjoo Seo, Michaël Defferrard, P. Vandergheynst, X. Bresson
Lecture notes in computer science · 2018
1,015
Fast Global Minimization of the Active Contour/Snake Model
X. Bresson, S. Esedoglu, P. Vandergheynst, J. Thiran, S. Osher
Journal of Mathematical Imaging and Vision · 2007
960
CayleyNets: Graph Convolutional Neural Networks With Complex Rational Spectral Filters
R. Levie, Federico Monti, X. Bresson, M. Bronstein
IEEE Transactions on Signal Processing · 2018
764
Bregmanized Nonlocal Regularization for Deconvolution and Sparse Reconstruction
Xiao-Qun Zhang, M. Burger, X. Bresson, S. Osher
SIAM Journal on Imaging Sciences · 2010
741
Geometric Matrix Completion with Recurrent Multi-Graph Neural Networks
Federico Monti, M. Bronstein, X. Bresson
neural information processing systems · 2017
557
Geometric Applications of the Split Bregman Method: Segmentation and Surface Reconstruction
T. Goldstein, X. Bresson, S. Osher
Journal of Scientific Computing · 2009
492
Fast dual minimization of the vectorial total variation norm and applications to color image processing
X. Bresson, T. Chan
Inverse Problems and Imaging · 2008
425
A Generalization of Transformer Networks to Graphs
arXiv · 2020
318
Local Histogram Based Segmentation Using the Wasserstein Distance
Kangyu Ni, X. Bresson, T. Chan, S. Esedoglu
International Journal of Computer Vision · 2009
270
Residual Gated Graph ConvNets
arXiv · 2017
237
Benchmarking Graph Neural Networks
arXiv · 2020
224
An Efficient Graph Convolutional Network Technique for the Travelling Salesman Problem
arXiv · 2019
200
Evaluation and Comparison of Current Fetal Ultrasound Image Segmentation Methods for Biometric Measurements: A Grand Challenge
S. Rueda, S. Fathima, C. L. Knight, Mohammad Yaqub, A. Papageorghiou, B. Rahmatullah, A. Foi, Matteo Maggioni, +16 more
IEEE Transactions on Medical Imaging · 2013
184
Completely Convex Formulation of the Chan-Vese Image Segmentation Model
Ethan S. Brown, Tony F. Chan, X. Bresson
International Journal of Computer Vision · 2011
173
An efficient total variation algorithm for super-resolution in fetal brain MRI with adaptive regularization
S. Tourbier, X. Bresson, P. Hagmann, J. Thiran, R. Meuli, M. Cuadra
NeuroImage · 2015
163
A Variational Model for Object Segmentation Using Boundary Information and Shape Prior Driven by the Mumford-Shah Functional
X. Bresson, P. Vandergheynst, J. Thiran
International Journal of Computer Vision · 2006
159
A Generalization of ViT/MLP-Mixer to Graphs
Xiao-Xin He, Bryan Hooi, T. Laurent, Adam Perold, Yann LeCun, X. Bresson
arXiv · 2022
152
Matrix Completion on Graphs
arXiv · 2014
143
Robust Principal Component Analysis on Graphs
Nauman Shahid, Vassilis Kalofolias, X. Bresson, M. Bronstein, P. Vandergheynst
IEEE International Conference on Computer Vision (ICCV) · 2015
123
Nonlocal Mumford-Shah Regularizers for Color Image Restoration
Miyoun Jung, X. Bresson, T. Chan, L. Vese
IEEE Transactions on Image Processing · 2010
119
Multigraph Transformer for Free-Hand Sketch Recognition
Peng Xu, Chaitanya K. Joshi, X. Bresson
IEEE Transactions on Neural Networks and Learning Systems · 2021
103
Total variation and cheeger cuts
A. Szlam, X. Bresson
International Conference on Machine Learning · 2010
102
Fma: A Dataset For Music Analysis.
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2017
98
Multiclass Total Variation Clustering
Xavier Bresson, David Uminsky, Thomas Laurent, James H. Von Brecht
Neural Information Processing Systems · 2014
98
White matter fiber tract segmentation in DT-MRI using geometric flows
L. Jonasson, X. Bresson, P. Hagmann, O. Cuisenaire, R. Meuli, J. Thiran
Medical Image Analysis · 2004
98
Functional correspondence by matrix completion
Artiom Kovnatsky, M. Bronstein, X. Bresson, P. Vandergheynst
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2015
96
Efficient Algorithm for Level Set Method Preserving Distance Function
IEEE Transactions on Image Processing · 2012
87
Transient networks of spatio-temporal connectivity map communication pathways in brain functional systems
A. Griffa, B. Ricaud, Kirell Benzi, X. Bresson, Alessandro Daducci, P. Vandergheynst, J. Thiran, P. Hagmann
NeuroImage · 2017
86
A level set method for segmentation of the thalamus and its nuclei in DT-MRI
L. Jonasson, P. Hagmann, C. Pollo, X. Bresson, C. R. Wilson, R. Meuli, J. Thiran
Signal Processing · 2006
84
Adaptive Regularization With the Structure Tensor
V. Estellers, Stefano Soatto, X. Bresson
IEEE Transactions on Image Processing · 2015
83
An Efficient Algorithm for Level Set Method Preserving Distance Function
Virginia Estellers, Dominique Zosso, Rongjie Lai, Jean-Philippe Thiran, Stanley Osher, Xavier Bresson
2011
81
Fast Texture Segmentation Based on Semi-Local Region Descriptor and Active Contour
N. Houhou, J. Thiran, X. Bresson
Numerical Mathematics Theory Methods and Applications · 2009
80
G-Retriever: Retrieval-Augmented Generation for Textual Graph Understanding and Question Answering
neural information processing systems · 2024
78
Fast texture segmentation model based on the shape operator and active contour
N. Houhou, J. Thiran, X. Bresson
IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings - IEEE Computer Society Conference on Computer Vision and Pattern Recognition/Proceedings · 2008
76
Scale Space Analysis and Active Contours for Omnidirectional Images
IEEE Transactions on Image Processing · 2007
70
Multi-class Transductive Learning Based on ℓ 1 Relaxations of Cheeger Cut and Mumford-Shah-Potts Model
X. Bresson, Xuecheng Tai, T. Chan, A. Szlam
Journal of Mathematical Imaging and Vision · 2013
67
A priori information in image segmentation: energy functional based on shape statistical model and image information
X. Bresson, P. Vandergheynst, J. Thiran
Proceedings - International Conference on Image Processing · 2004
65
Convergence and Energy Landscape for Cheeger Cut Clustering
Xavier Bresson, David Uminsky, Thomas Laurent, James H. Von Brecht
Neural Information Processing Systems · 2014
61
Song recommendation with non-negative matrix factorization and graph total variation
Kirell Benzi, Vassiiis Kalofolias, X. Bresson, P. Vandergheynst
IEEE International Conference on Acoustics Speech and Signal Processing · 2016
54
Multiscale Active Contours
X. Bresson, P. Vandergheynst, J. Thiran
International Journal of Computer Vision · 2006
54
The Transformer Network for the Traveling Salesman Problem
arXiv · 2021
50
A Two-Step Graph Convolutional Decoder for Molecule Generation
arXiv · 2019
47
Navigating Complexity: Toward Lossless Graph Condensation via Expanding Window Matching
Yuchen Zhang, Tianle Zhang, Kai Wang, Ziyao Guo, Yuxuan Liang, Xavier Bresson, Wei Jin, Yang You
arXiv · 2024
46
An Experimental Study of Neural Networks for Variable Graphs.
X. Bresson, T. Laurent
International Conference on Learning Representations · 2018
46
Global Minimizers of The Active Contour/Snake Model
X. Bresson, S. Esedoglu, P. Vandergheynst, J. Thiran, S. Osher
2005
45
Consistency of cheeger and ratio graph cuts
KiltHub Repository · 2016
40
Semi-supervised Segmentation Based on Non-local Continuous Min-Cut
N. Houhou, X. Bresson, A. Szlam, T. Chan, J. Thiran
Lecture notes in computer science · 2009
40
Semi-Supervised Segmentation of Ultrasound Images Based on Patch Representation and Continuous Min Cut
A. Ciurte, X. Bresson, O. Cuisenaire, N. Houhou, S. Nedevschi, J. Thiran, M. Cuadra
PLoS ONE · 2014
38
Geodesic Active Fields—A Geometric Framework for Image Registration
Dominique Zosso, X. Bresson, J. Thiran
IEEE Transactions on Image Processing · 2010
38
Global minimization of Markov random fields with applications to optical flow
T. Goldstein, X. Bresson, S. Osher
Inverse Problems and Imaging · 2012
36
Convex Formulation and Exact Global Solutions for Multi-phase Piecewise Constant Mumford-Shah Image Segmentation
Ethan S. Brown, Tony F. Chan, Xavier Bresson
2009
36
Representing Diffusion MRI in 5-D Simplifies Regularization and Segmentation of White Matter Tracts
L. Jonasson, X. Bresson, J. Thiran, V. Wedeen, P. Hagmann
IEEE Transactions on Medical Imaging · 2007
33
Total Variation, Cheeger Cuts
X. Bresson, A. Szlam
International Conference on Machine Learning · 2010
32
Active deformation fields: Dense deformation field estimation for atlas-based segmentation using the active contour framework
Subrahmanyam Gorthi, Valerie Duay, X. Bresson, M. Cuadra, Francisco Javier Sánchez Castro, C. Pollo, A. Allal, J. Thiran
Medical Image Analysis · 2011
29
Graph Neural Networks with Learnable Structural and Positional Representations
arXiv · 2021
25
Harmonic Active Contours
V. Estellers, Dominique Zosso, X. Bresson, J. Thiran
IEEE Transactions on Image Processing · 2013
25
Active Contours Based on Chambolle's Mean Curvature Motion
X. Bresson, T. Chan
Proceedings - International Conference on Image Processing · 2007
25
On Learning Paradigms for the Travelling Salesman Problem
arXiv · 2019
21
White Matter Mapping in DT-MRI Using Geometric Flows
L. Jonasson, P. Hagmann, X. Bresson, R. Meuli, O. Cuisenaire, J. Thiran
Lecture notes in computer science · 2003
19
An Experimental Comparison of Text Classification Techniques
Suyash Lakhotia, X. Bresson
International Conference on Cyberworlds (CW) · 2018
18
Graph Transformers for Large Graphs
Vijay Prakash Dwivedi, Yozen Liu, A. Lưu, Xavier Bresson, Neil Shah, Tong Zhao
arXiv · 2023
17
Source localization on graphs via ℓ1 recovery and spectral graph theory
Rodrigo Pena, X. Bresson, P. Vandergheynst
IEEE Image, Video, and Multidimensional Signal Processing Workshop (IVMSP) · 2016
17
Image segmentation with variational active contours
X. Bresson
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2005
17
Harnessing Explanations: LLM-to-LM Interpreter for Enhanced Text-Attributed Graph Representation Learning
arXiv · 2023
16
Representing Diffusion MRI in 5D for Segmentation of White Matter Tracts with a Level Set Method
L. Jonasson, P. Hagmann, X. Bresson, J. Thiran, V. Wedeen
Lecture notes in computer science · 2005
15
An Active Contour-Based Atlas Registration Model Applied to Automatic Subthalamic Nucleus Targeting on MRI: Method and Validation
Valerie Duay, X. Bresson, Francisco Javier Sánchez Castro, C. Pollo, M. Cuadra, J. Thiran
Lecture notes in computer science · 2008
14
Semantic Role Aware Correlation Transformer For Text To Video Retrieval
Burak Satar, Hongyuan Zhu, X. Bresson, J. Lim
Proceedings - International Conference on Image Processing · 2021
13
An Adaptive Total Variation Algorithm for Computing the Balanced Cut of a Graph
arXiv · 2013
13
Ultrasound Image Segmentation of the Fetal Abdomen: a Semi-Supervised Patch-Based Approach
A. Ciurte, S. Rueda, X. Bresson, S. Nedevschi, A. Papageorghiou, J. Noble, M. Cuadra
IRIS · 2012
13
Surface Reconstruction Using Power Watershed
C. Couprie, X. Bresson, L. Najman, Hugues Talbot, Leo J. Grady
Lecture notes in computer science · 2011
13
Combining Reinforcement Learning and Optimal Transport for the Traveling Salesman Problem
Yong-Liang Goh, Wee-Sun Lee, X. Bresson, T. Laurent, N. Lim
arXiv · 2022
12
Color Image Restoration Using Nonlocal Mumford-Shah Regularizers
Miyoun Jung, X. Bresson, T. Chan, L. Vese
Lecture notes in computer science · 2009
12
Geometric deep learning framework for de novo genome assembly
Lovro Vrček, Xavier Bresson, T. Laurent, Martin Schmitz, Kenji Kawaguchi, Mile Šikić
Genome Research · 2024
11
Efficient Total Variation Algorithm for Fetal Brain MRI Reconstruction
S. Tourbier, X. Bresson, P. Hagmann, J. Thiran, R. Meuli, M. Cuadra
Lecture notes in computer science · 2014
11
GraphTSNE: A Visualization Technique for Graph-Structured Data
arXiv · 2019
10
Segmentation for Hyperspectral Images with Priors
Jian Ye, Todd Wittman, X. Bresson, S. Osher
Lecture notes in computer science · 2010
10
Deep Geometric Matrix Completion: A New Way for Recommender Systems
Federico Monti, M. Bronstein, X. Bresson
IEEE International Conference on Acoustics Speech and Signal Processing · 2018
9
Image Segmentation Model using Active Contour and Image Decomposition
X. Bresson, J.-P. Thiram
Proceedings - International Conference on Image Processing · 2006
9
Coupled, region based level sets for segmentation of the thalamus and its subnuclei in DT-MRI.
L. Jonasson, P. Hagmann, C. R. Wilson, X. Bresson, Claudio Pollo, R. Meuli, J. Thiran
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2005
9
Coupled region based level sets for segmentation of the thalamus and its subnuclei in DT-MR
L. Jonasson, P. Hagmann, C. R. Wilson, X. Bresson, Claudio Pollo, R. Meuli, J. Thiran
IRIS · 2005
9
Multiscale Image Segmentation Using Active Contours
Laura Gui, X. Bresson, J. Thiran
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2005
9
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classification
Yutong Xia, Runpeng Yu, Yuxuan Liang, Xavier Bresson, Xin-Chao Wang, Roger Zimmermann
arXiv · 2024
7
Feature Collapse
T. Laurent, James H. von Brecht, X. Bresson
arXiv · 2023
7
CHM13 PacBio HiFi reads with assigned coordinates, assembly graphs generated with Raven and hifiasm
Lovro Vrček, X. Bresson, T. Laurent, M. Schmitz, Mile Šikić
arXiv · 2022
7
Four color theorem and convex relaxation for image segmentation with any number of regions
Rui-Liang Zhang, X. Bresson, T. Chan, Xuecheng Tai
Inverse Problems and Imaging · 2013
7
Harmonic active contours for multichannel image segmentation
V. Estellers, Dominique Zosso, X. Bresson, J. Thiran
Proceedings - International Conference on Image Processing · 2011
7
Registration Of Multiple Regions Derived From The Optical Flow Model And The Active Contour Framework
Valerie Duay, X. Bresson, N. Houhou, M. Cuadra, J. Thiran
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2007
7
Reconstruction of short genomic sequences with graph convolutional networks
Lovro Vrček, X. Bresson, T. Laurent, Martin Schmitz, Mile Šikić
MIPRO ICT and Electronics Convention (MIPRO) · 2023
6
Deep Geometric Matrix Completion
Federico Monti, M. Bronstein, X. Bresson
IEEE International Conference on Acoustics, Speech, and Signal Processing · 2018
6
Fast Geodesic Active Fields for Image Registration Based on Splitting and Augmented Lagrangian Approaches
Dominique Zosso, X. Bresson, J. Thiran
IEEE Transactions on Image Processing · 2013
6
An efficient segmentation method for ultrasound images based on a semi-supervised approach and patch-based features
A. Ciurte, N. Houhou, S. Nedevschi, A. Pica, F. Munier, J. Thiran, X. Bresson, M. B. Cuadra
IEEE International Symposium on Biomedical Imaging: From Nano to Macro (ISBI) · 2011
6
An Incremental Reseeding Strategy for Clustering
X. Bresson, Huiyi Hu, T. Laurent, A. Szlam, J. V. Brecht
Mathematics and visualization · 2018
5
Haystack Engineering: Context Engineering for Heterogeneous and Agentic Long-Context Evaluation
Mufei Li, Dong-Qi Fu, Limei Wang, Si Zhang, Han-Qing Zeng, Kaan Sancak, Rui-Zhong Qiu, H. Wang, +5 more
arXiv · 2025
4
A General Graph Spectral Wavelet Convolution via Chebyshev Order Decomposition
Nian Liu, Xiao-Xi He, T. Laurent, Francesco Di Giovanni, Michael M. Bronstein, Xavier Bresson
arXiv · 2024
3
Automated Brain Extraction in Fetal MRI by Multi-Atlas Fusion Strategy: Study on Healthy and Pathological Subjects
Sébastien Tourbier, X. Bresson, P. Hagmann, Maud Cagneaux, M. Schaer, L. Guibaud, J. Thiran, R. Meuli, +1 more
SERVAL (Université de Lausanne) · 2014
3
TV-SVM: Total Variation Support Vector Machine for Semi-Supervised Data Classification
arXiv · 2012
3
A Variational Model for Object Segmentation Using Boundary Information, Statistical Shape Prior and the Mumford-Shah Functional
X. Bresson, P. Vandergheynst, J. Thiran
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2004
3
Crys-JEPA: Accelerating Crystal Discovery via Embedding Screening and Generative Refinement
Nian Liu, Nikita Kazeev, Stephen G Dale, A. Maevskiy, Yu-Wei Zeng, Ryoji Kubo, Pengru Huang, T. Laurent, +3 more
arXiv · 2026
2
AI4X Roadmap: Artificial Intelligence for the advancement of scientific pursuit and its future directions
Stephen G Dale, Nikita Kazeev, Alastair J. A. Price, Víctor Posligua, Stephan Roche, O. V. von Lilienfeld, Konstantin S. Novoselov, X. Bresson, +22 more
arXiv · 2025
2
Enhanced lasso recovery on graph
X. Bresson, T. Laurent, J. V. von Brecht
European Signal Processing Conference (EUSIPCO) · 2015
2
Convergence of a Steepest Descent Algorithm for Ratio Cut Clustering
arXiv · 2012
2
Laplacian Operator, Diffusion Flow and Active Contour on non-Euclidean Images
I. Bogdanova, X. Bresson, J. Thiran, P. Vandergheynst
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2005
2
Geometric moments in scale-spaces
X. Bresson, P. Vandergheynst, J.-P. Thiran
Object recognition supported by user interaction for service robots · 2003
2
Composable Crystals: Controllable Materials Discovery via Concept Learning
Nian Liu, Yu-Wei Zeng, Ryoji Kubo, Nikita Kazeev, Stephen G Dale, A. Maevskiy, Pengru Huang, T. Laurent, +2 more
arXiv · 2026
1
Through the Dual-Prism: A Spectral Perspective on Graph Data Augmentation for Graph Classifications
Proceedings of the AAAI Conference on Artificial Intelligence · 2025
1
Long-Tailed Learning Requires Feature Learning
T. Laurent, James H. von Brecht, X. Bresson
arXiv · 2022
1
The Product Cut
T. Laurent, J. V. von Brecht, X. Bresson, A. Szlam
neural information processing systems · 2016
1
Mapping resting-state dynamics on spatio-temporal graphs: a combined functional and diffusion MRI approach
A. Griffa, Kirell Benzi, B. Ricaud, X. Bresson, P. Vandergheynst, P. Hagmann, J. Thiran
SERVAL (Université de Lausanne) · 2015
1
GPU-accelerated Convex Multi-phase Image Segmentation
Subrahmanyam Gorthi, Arnaud Le Carvennec, Hadrien Copponnex, X. Bresson, J. Thiran
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2011
1
Semi-automatic contour analysis of the optic nerve head
S. Roy, J. Broquet, X. Bresson, J. Thiran
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2004
1
Pre-training with Graph Transformers
arXiv · 2026
–
The 1st International Workshop on Graph Foundation Models (GFM)
Hai-Tao Mao, Jia-Nan Zhao, Xiao-Xin He, Zhikai Chen, Qian Huang, Zhaocheng Zhu, Jian Tang, Micheal Bronstein, +6 more
ACM Web Conference (WWW) · 2024
–
fma-small-tfds
Zenodo (CERN European Organization for Nuclear Research) · 2023
–
An Experimental Study of the Transferability of Spectral Graph Networks
arXiv · 2020
–
CAYLEYNETS: SPECTRAL GRAPH CNNS WITH COMPLEX RATIONAL FILTERS
R. Levie, Federico Monti, X. Bresson, M. Bronstein
2018
–
Localization of the Ventro-Intermediate Thalamic Nucleus using Local Diffusion Properties
IRIS · 2016
–
Structured Auto-Encoder
Michaël Defferrard, X. Bresson, Johan Paratte
2015
–
Enhanced Matrix Completion with Manifold Learning
Vassilis Kalofolias, X. Bresson, M. Bronstein, P. Vandergheynst
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2015
–
Segmenting omnidirectional images
X. Bresson, I. Bogdanova, J. Thiran, P. Vandergheynst
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2007
–
Active Deformation Fields For Non-Rigid Image Registration
Valerie Duay, X. Bresson, M. Cuadra, J. Thiran
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2007
–
Coupled region-based level sets for segmentation of the thalamus in DT-MRI.
L. Jonasson, P. Hagmann, X. Bresson, R. Meuli, J. Thiran
Infoscience (Ecole Polytechnique Fédérale de Lausanne) · 2005
–

Publication data from OpenAlex, with missing venues and authors filled in from Crossref; citation counts are the higher of OpenAlex and Semantic Scholar, last synced 2026-10-10. Citation counts may be lower than on Google Scholar, which indexes more sources.

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