Michael M. Bronstein

Orcid: 0000-0002-1262-7252

Affiliations:
  • University of Oxford, UK
  • Twitter
  • Imperial College London, Department of Computing, UK
  • Technion - Israel Institute of Technology, Haifa, Israel


According to our database1, Michael M. Bronstein authored at least 293 papers between 2002 and 2024.

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Bibliography

2024
How does over-squashing affect the power of GNNs?
Trans. Mach. Learn. Res., 2024

Equivariant 3D-conditional diffusion model for molecular linker design.
Nat. Mac. Intell., 2024

Homomorphism Counts as Structural Encodings for Graph Learning.
CoRR, 2024

Relaxed Equivariance via Multitask Learning.
CoRR, 2024

Steering Masked Discrete Diffusion Models via Discrete Denoising Posterior Prediction.
CoRR, 2024

Neural Spacetimes for DAG Representation Learning.
CoRR, 2024

Topological Blind Spots: Understanding and Extending Topological Deep Learning Through the Lens of Expressivity.
CoRR, 2024

On the Impact of Sample Size in Reconstructing Noisy Graph Signals: A Theoretical Characterisation.
CoRR, 2024

On the Limitations of Fractal Dimension as a Measure of Generalization.
CoRR, 2024

Learning on Large Graphs using Intersecting Communities.
CoRR, 2024

GraphAny: A Foundation Model for Node Classification on Any Graph.
CoRR, 2024

Sequence-Augmented SE(3)-Flow Matching For Conditional Protein Backbone Generation.
CoRR, 2024

Bundle Neural Networks for message diffusion on graphs.
CoRR, 2024

Message-Passing Monte Carlo: Generating low-discrepancy point sets via Graph Neural Networks.
CoRR, 2024

Metric Flow Matching for Smooth Interpolations on the Data Manifold.
CoRR, 2024

Fisher Flow Matching for Generative Modeling over Discrete Data.
CoRR, 2024

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

Understanding Virtual Nodes: Oversmoothing, Oversquashing, and Node Heterogeneity.
CoRR, 2024

Generative Active Learning for the Search of Small-molecule Protein Binders.
CoRR, 2024

Position Paper: Challenges and Opportunities in Topological Deep Learning.
CoRR, 2024

Revealing Decurve Flows for Generalized Graph Propagation.
CoRR, 2024

Link Prediction with Relational Hypergraphs.
CoRR, 2024

Future Directions in Foundations of Graph Machine Learning.
CoRR, 2024

Setting the Record Straight on Transformer Oversmoothing.
CoRR, 2024

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


Homomorphism Counts for Graph Neural Networks: All About That Basis.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Cooperative Graph Neural Networks.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

Position: Future Directions in the Theory of Graph Machine Learning.
Proceedings of the Forty-first International Conference on Machine Learning, 2024

RetroBridge: Modeling Retrosynthesis with Markov Bridges.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

SE(3)-Stochastic Flow Matching for Protein Backbone Generation.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

From Latent Graph to Latent Topology Inference: Differentiable Cell Complex Module.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

Locality-Aware Graph Rewiring in GNNs.
Proceedings of the Twelfth International Conference on Learning Representations, 2024

2023
Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications.
Medical Image Anal., August, 2023

Understanding convolution on graphs via energies.
Trans. Mach. Learn. Res., 2023

Differentiable Graph Module (DGM) for Graph Convolutional Networks.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

Improving Graph Neural Network Expressivity via Subgraph Isomorphism Counting.
IEEE Trans. Pattern Anal. Mach. Intell., 2023

A Hitchhiker's Guide to Geometric GNNs for 3D Atomic Systems.
CoRR, 2023

Advective Diffusion Transformers for Topological Generalization in Graph Learning.
CoRR, 2023

GraphText: Graph Reasoning in Text Space.
CoRR, 2023

Artificial Intelligence for Science in Quantum, Atomistic, and Continuum Systems.
CoRR, 2023

Social learning across symbolic cultural barriers in non-human cultures.
CoRR, 2023

On the Impact of Sample Size in Reconstructing Graph Signals.
CoRR, 2023

A Survey on Oversmoothing in Graph Neural Networks.
CoRR, 2023

Can strong structural encoding reduce the importance of Message Passing?
Proceedings of the Topological, 2023

Curvature Filtrations for Graph Generative Model Evaluation.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Temporal Graph Benchmark for Machine Learning on Temporal Graphs.
Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

Edge Directionality Improves Learning on Heterophilic Graphs.
Proceedings of the Learning on Graphs Conference, 27-30 November 2023, Virtual Event., 2023

DRew: Dynamically Rewired Message Passing with Delay.
Proceedings of the International Conference on Machine Learning, 2023

On Over-Squashing in Message Passing Neural Networks: The Impact of Width, Depth, and Topology.
Proceedings of the International Conference on Machine Learning, 2023

Gradient Gating for Deep Multi-Rate Learning on Graphs.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Graph Neural Networks for Link Prediction with Subgraph Sketching.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Hyperbolic Deep Reinforcement Learning.
Proceedings of the Eleventh International Conference on Learning Representations, 2023

Provably Efficient Causal Model-Based Reinforcement Learning for Systematic Generalization.
Proceedings of the Thirty-Seventh AAAI Conference on Artificial Intelligence, 2023

2022
Matching 3D Facial Shape to Demographic Properties by Geometric Metric Learning: A Part-Based Approach.
IEEE Trans. Biom. Behav. Identity Sci., 2022

Guest Editorial: Non-Euclidean Machine Learning.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

3D Shape Analysis Through a Quantum Lens: the Average Mixing Kernel Signature.
Int. J. Comput. Vis., 2022

Structure-based Drug Design with Equivariant Diffusion Models.
CoRR, 2022

Equivariant 3D-Conditional Diffusion Models for Molecular Linker Design.
CoRR, 2022

Graph Neural Networks as Gradient Flows.
CoRR, 2022

Graph Anisotropic Diffusion.
CoRR, 2022

Graph-in-Graph (GiG): Learning interpretable latent graphs in non-Euclidean domain for biological and healthcare applications.
CoRR, 2022

RECOVER: sequential model optimization platform for combination drug repurposing identifies novel synergistic compounds in vitro.
CoRR, 2022

Heterogeneous manifolds for curvature-aware graph embedding.
CoRR, 2022

Multi-Scale Part-Based Syndrome Classification of 3D Facial Images.
IEEE Access, 2022

Sheaf Neural Networks with Connection Laplacians.
Proceedings of the Topological, 2022

Understanding and Extending Subgraph GNNs by Rethinking Their Symmetries.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Neural Sheaf Diffusion: A Topological Perspective on Heterophily and Oversmoothing in GNNs.
Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

On the Unreasonable Effectiveness of Feature Propagation in Learning on Graphs With Missing Node Features.
Proceedings of the Learning on Graphs Conference, 2022

Graph-based Representation Learning for Web-scale Recommender Systems.
Proceedings of the KDD '22: The 28th ACM SIGKDD Conference on Knowledge Discovery and Data Mining, Washington, DC, USA, August 14, 2022

Neural Diffusion PDEs, Differential Geometry, and Graph Neural Networks.
Proceedings of the 2nd International Conference on Image Processing and Vision Engineering, 2022

Graph-Coupled Oscillator Networks.
Proceedings of the International Conference on Machine Learning, 2022

Learning to Infer Structures of Network Games.
Proceedings of the International Conference on Machine Learning, 2022

Understanding over-squashing and bottlenecks on graphs via curvature.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Equivariant Subgraph Aggregation Networks.
Proceedings of the Tenth International Conference on Learning Representations, 2022

Inverse Computational Spectral Geometry.
Proceedings of the 43rd Annual Conference of the European Association for Computer Graphics, 2022

2021
Nonisometric Surface Registration via Conformal Laplace-Beltrami Basis Pursuit.
J. Sci. Comput., 2021

Transferability of Spectral Graph Convolutional Neural Networks.
J. Mach. Learn. Res., 2021

Shape My Face: Registering 3D Face Scans by Surface-to-Surface Translation.
Int. J. Comput. Vis., 2021

Graph Kernel Neural Networks.
CoRR, 2021

Geometric Deep Learning: Grids, Groups, Graphs, Geodesics, and Gauges.
CoRR, 2021

Cetacean Translation Initiative: a roadmap to deciphering the communication of sperm whales.
CoRR, 2021

Orthogonalized Fourier Polynomials for Signal Approximation and Transfer.
Comput. Graph. Forum, 2021

Utilizing graph machine learning within drug discovery and development.
Briefings Bioinform., 2021

GReS: Workshop on Graph Neural Networks for Recommendation and Search.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

The 2021 RecSys Challenge Dataset: Fairness is not optional.
Proceedings of the RecSys Challenge 2021: Proceedings of the Recommender Systems Challenge 2021, 2021

RecSys 2021 Challenge Workshop: Fairness-aware engagement prediction at scale on Twitter's Home Timeline.
Proceedings of the RecSys '21: Fifteenth ACM Conference on Recommender Systems, Amsterdam, The Netherlands, 27 September 2021, 2021

Beltrami Flow and Neural Diffusion on Graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Partition and Code: learning how to compress graphs.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Weisfeiler and Lehman Go Cellular: CW Networks.
Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Unsupervised Diffeomorphic Surface Registration and Non-linear Modelling.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2021 - 24th International Conference, Strasbourg, France, September 27, 2021

Weisfeiler and Lehman Go Topological: Message Passing Simplicial Networks.
Proceedings of the 38th International Conference on Machine Learning, 2021

GRAND: Graph Neural Diffusion.
Proceedings of the 38th International Conference on Machine Learning, 2021

Fast End-to-End Learning on Protein Surfaces.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

2020
Graph Signal Processing for Machine Learning: A Review and New Perspectives.
IEEE Signal Process. Mag., 2020

Intel® RealSense™ SR300 Coded Light Depth Camera.
IEEE Trans. Pattern Anal. Mach. Intell., 2020

Utilising Graph Machine Learning within Drug Discovery and Development.
CoRR, 2020

Temporal Graph Networks for Deep Learning on Dynamic Graphs.
CoRR, 2020

Privacy-Preserving Recommender Systems Challenge on Twitter's Home Timeline.
CoRR, 2020

SIGN: Scalable Inception Graph Neural Networks.
CoRR, 2020

Latent Patient Network Learning for Automatic Diagnosis.
CoRR, 2020

Shape retrieval of non-rigid 3d human models.
CoRR, 2020

Differentiable Graph Module (DGM) Graph Convolutional Networks.
CoRR, 2020

Graph Attentional Autoencoder for Anticancer Hyperfood Prediction.
CoRR, 2020

Tuning Word2vec for Large Scale Recommendation Systems.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

RecSys 2020 Challenge Workshop: Engagement Prediction on Twitter's Home Timeline.
Proceedings of the RecSys 2020: Fourteenth ACM Conference on Recommender Systems, 2020

Fast geometric learning with symbolic matrices.
Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Latent-Graph Learning for Disease Prediction.
Proceedings of the Medical Image Computing and Computer Assisted Intervention - MICCAI 2020, 2020

3D Facial Matching by Spiral Convolutional Metric Learning and a Biometric Fusion-Net of Demographic Properties.
Proceedings of the 25th International Conference on Pattern Recognition, 2020

Clustered Dynamic Graph CNN for Biometric 3D Hand Shape Recognition.
Proceedings of the 2020 IEEE International Joint Conference on Biometrics, 2020

The Average Mixing Kernel Signature.
Proceedings of the Computer Vision - ECCV 2020, 2020

Weakly-Supervised Mesh-Convolutional Hand Reconstruction in the Wild.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

Geometrically Principled Connections in Graph Neural Networks.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020

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

Dynamic Graph CNN for Learning on Point Clouds.
ACM Trans. Graph., 2019

Learning interpretable disease self-representations for drug repositioning.
CoRR, 2019

Transferability of Spectral Graph Convolutional Neural Networks.
CoRR, 2019

ncRNA Classification with Graph Convolutional Networks.
CoRR, 2019

MeshGAN: Non-linear 3D Morphable Models of Faces.
CoRR, 2019

Fake News Detection on Social Media using Geometric Deep Learning.
CoRR, 2019

Functional Maps Representation On Product Manifolds.
Comput. Graph. Forum, 2019

PeerNets: Exploiting Peer Wisdom Against Adversarial Attacks.
Proceedings of the 7th International Conference on Learning Representations, 2019

SpiralNet++: A Fast and Highly Efficient Mesh Convolution Operator.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision Workshops, 2019

Neural 3D Morphable Models: Spiral Convolutional Networks for 3D Shape Representation Learning and Generation.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

Deep Learning for Computer Graphics and Geometry Processing.
Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Isospectralization, or How to Hear Shape, Style, and Correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Single Image 3D Hand Reconstruction with Mesh Convolutions.
Proceedings of the 30th British Machine Vision Conference 2019, 2019


2018
Dual-Primal Graph Convolutional Networks.
CoRR, 2018

Kernel Functional Maps.
Comput. Graph. Forum, 2018

Improved Functional Mappings via Product Preservation.
Comput. Graph. Forum, 2018

Localized Manifold Harmonics for Spectral Shape Analysis.
Comput. Graph. Forum, 2018

Interactive Curve Constrained Functional Maps.
Comput. Graph. Forum, 2018

Functional Maps on Product Manifolds.
Proceedings of the 16th Eurographics Symposium on Geometry Processing, 2018

Graph Neural Networks for IceCube Signal Classification.
Proceedings of the 17th IEEE International Conference on Machine Learning and Applications, 2018

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

MOTIFNET: A Motif-Based Graph Convolutional Network for Directed Graphs.
Proceedings of the 2018 IEEE Data Science Workshop, 2018

Deformable Shape Completion With Graph Convolutional Autoencoders.
Proceedings of the 2018 IEEE Conference on Computer Vision and Pattern Recognition, 2018

2017
Geometric Deep Learning: Going beyond Euclidean data.
IEEE Signal Process. Mag., 2017

Partial Functional Correspondence.
Comput. Graph. Forum, 2017

Fully Spectral Partial Shape Matching.
Comput. Graph. Forum, 2017

Subspace Least Squares Multidimensional Scaling.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 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

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence.
Proceedings of the IEEE International Conference on Computer Vision, 2017

Generative convolutional networks for latent fingerprint reconstruction.
Proceedings of the 2017 IEEE International Joint Conference on Biometrics, 2017

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs.
Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017


Efficient Deformable Shape Correspondence via Kernel Matching.
Proceedings of the 2017 International Conference on 3D Vision, 2017

Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations.
Proceedings of the 2017 International Conference on 3D Vision, 2017

2016
Shape Retrieval of Non-rigid 3D Human Models.
Int. J. Comput. Vis., 2016

Non-Rigid Puzzles.
Comput. Graph. Forum, 2016

Anisotropic Diffusion Descriptors.
Comput. Graph. Forum, 2016

Recent Trends, Applications, and Perspectives in 3D Shape Similarity Assessment.
Comput. Graph. Forum, 2016

Computing and processing correspondences with functional maps.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

Geometric deep learning.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

Learning shape correspondence with anisotropic convolutional neural networks.
Proceedings of the Advances in Neural Information Processing Systems 29: Annual Conference on Neural Information Processing Systems 2016, 2016

Palmprint recognition via discriminative index learning.
Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Deep Learning for Shape Analysis.
Proceedings of the 37th Annual Conference of the European Association for Computer Graphics, 2016

MADMM: A Generic Algorithm for Non-smooth Optimization on Manifolds.
Proceedings of the Computer Vision - ECCV 2016, 2016

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching.
Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Matching of Deformable Shapes with Topological Noise.
Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

Partial Matching of Deformable Shapes.
Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

Shape Analysis with Anisotropic Windowed Fourier Transform.
Proceedings of the Fourth International Conference on 3D Vision, 2016

Coupled Functional Maps.
Proceedings of the Fourth International Conference on 3D Vision, 2016

Matching Deformable Objects in Clutter.
Proceedings of the Fourth International Conference on 3D Vision, 2016

Sparse Models for Intrinsic Shape Correspondence.
Proceedings of the Perspectives in Shape Analysis, 2016

2015
Manifold Intrinsic Similarity.
Proceedings of the Handbook of Mathematical Methods in Imaging, 2015

Multimodal Manifold Analysis by Simultaneous Diagonalization of Laplacians.
IEEE Trans. Pattern Anal. Mach. Intell., 2015

ShapeNet: Convolutional Neural Networks on Non-Euclidean Manifolds.
CoRR, 2015

Learning class-specific descriptors for deformable shapes using localized spectral convolutional networks.
Comput. Graph. Forum, 2015

Shape-from-Operator: Recovering Shapes from Intrinsic Operators.
Comput. Graph. Forum, 2015

Geodesic Convolutional Neural Networks on Riemannian Manifolds.
Proceedings of the 2015 IEEE International Conference on Computer Vision Workshop, 2015

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

Contactless biometric hand geometry recognition using a low-cost 3D camera.
Proceedings of the International Conference on Biometrics, 2015

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

2014
Descriptor Learning for Omnidirectional Image Matching.
Proceedings of the Registration and Recognition in Images and Videos, 2014

Multimodal Similarity-Preserving Hashing.
IEEE Trans. Pattern Anal. Mach. Intell., 2014

Equi-affine Invariant Geometry for Shape Analysis.
J. Math. Imaging Vis., 2014

Sparse similarity-preserving hashing.
Proceedings of the 2nd International Conference on Learning Representations, 2014

Matrix Completion on Graphs.
CoRR, 2014

Shape-from-intrinsic operator.
CoRR, 2014

Supervised learning of bag-of-features shape descriptors using sparse coding.
Comput. Graph. Forum, 2014

Laplacian colormaps: a framework for structure-preserving color transformations.
Comput. Graph. Forum, 2014

Gamut mapping with image Laplacian commutators.
Proceedings of the 2014 IEEE International Conference on Image Processing, 2014

Quantifying 3D Shape Similarity Using Maps: Recent Trends, Applications and Perspectives.
Proceedings of the 35th Annual Conference of the European Association for Computer Graphics, 2014


Coulomb Shapes: Using Electrostatic Forces for Deformation-invariant Shape Representation.
Proceedings of the 7th Eurographics Workshop on 3D Object Retrieval, 2014

2013
Asymptotic metrics on the space of matrices under the commutation relation
CoRR, 2013

Almost-commuting matrices are almost jointly diagonalizable
CoRR, 2013

Structure-preserving color transformations using Laplacian commutativity.
CoRR, 2013

Making Laplacians commute.
CoRR, 2013

Heat kernel coupling for multiple graph analysis.
CoRR, 2013

Sparse Modeling of Intrinsic Correspondences.
Comput. Graph. Forum, 2013

Coupled quasi-harmonic bases.
Comput. Graph. Forum, 2013

Learnable low rank sparse models for speech denoising.
Proceedings of the IEEE International Conference on Acoustics, 2013

Group-Valued Regularization for Motion Segmentation of Articulated Shapes.
Proceedings of the Innovations for Shape Analysis, Models and Algorithms, 2013

Stable Semi-local Features for Non-rigid Shapes.
Proceedings of the Innovations for Shape Analysis, Models and Algorithms, 2013

2012
LDAHash: Improved Matching with Smaller Descriptors.
IEEE Trans. Pattern Anal. Mach. Intell., 2012

Motion-based mesh segmentation using augmented silhouettes.
Graph. Model., 2012

Multimodal diffusion geometry by joint diagonalization of Laplacians
CoRR, 2012

Stable volumetric features in deformable shapes.
Comput. Graph., 2012

Diffusion Geometry in Shape Analysis.
Proceedings of the 33rd Annual Conference of the European Association for Computer Graphics, 2012

Group-Valued Regularization for Analysis of Articulated Motion.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Putting the Pieces Together: Regularized Multi-part Shape Matching.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Stable Spectral Mesh Filtering.
Proceedings of the Computer Vision - ECCV 2012. Workshops and Demonstrations, 2012

Intrinsic shape context descriptors for deformable shapes.
Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

Articulated Motion Segmentation of Point Clouds by Group-Valued Regularization.
Proceedings of the 5th Eurographics Workshop on 3D Object Retrieval, 2012

Affine-Invariant Photometric Heat Kernel Signatures.
Proceedings of the 5th Eurographics Workshop on 3D Object Retrieval, 2012

Structure from Motion Using Augmented Lagrangian Robust Factorization.
Proceedings of the 2012 Second International Conference on 3D Imaging, 2012

Feature-Based Methods in 3D Shape Analysis.
Proceedings of the 3D Imaging, Analysis and Applications, 2012

2011
Shape google: Geometric words and expressions for invariant shape retrieval.
ACM Trans. Graph., 2011

Lazy Sliding Window Implementation of the Bilateral Filter on Parallel Architectures.
IEEE Trans. Image Process., 2011

Are MSER Features Really Interesting?
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Shape Recognition with Spectral Distances.
IEEE Trans. Pattern Anal. Mach. Intell., 2011

Descriptor learning for omnidirectional image matching
CoRR, 2011

Multimodal diff-hash
CoRR, 2011

Kernel diff-hash
CoRR, 2011

SHREC 2011: robust feature detection and description benchmark
CoRR, 2011

Diffusion framework for geometric and photometric data fusion in non-rigid shape analysis
CoRR, 2011

Affine-invariant geodesic geometry of deformable 3D shapes.
Comput. Graph., 2011

Diffusion-geometric maximally stable component detection in deformable shapes.
Comput. Graph., 2011

Equi-affine Invariant Geometries of Articulated Objects.
Proceedings of the Outdoor and Large-Scale Real-World Scene Analysis - 15th International Workshop on Theoretical Foundations of Computer Vision, Dagstuhl Castle, Germany, June 26, 2011

Discrete Minimum Distortion Correspondence Problems for Non-rigid Shape Matching.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Group-Valued Regularization Framework for Motion Segmentation of Dynamic Non-rigid Shapes.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

A Correspondence-Less Approach to Matching of Deformable Shapes.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Photometric Heat Kernel Signatures.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Shape Palindromes: Analysis of Intrinsic Symmetries in 2D Articulated Shapes.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Deformable Shape Retrieval by Learning Diffusion Kernels.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2011

Boosted metric learning for 3D multi-modal deformable registration.
Proceedings of the 8th IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2011

Affine-invariant diffusion geometry for the analysis of deformable 3D shapes.
Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011


2010
Nonlinear Dimensionality Reduction by Topologically Constrained Isometric Embedding.
Int. J. Comput. Vis., 2010

Full and Partial Symmetries of Non-rigid Shapes.
Int. J. Comput. Vis., 2010

A Gromov-Hausdorff Framework with Diffusion Geometry for Topologically-Robust Non-rigid Shape Matching.
Int. J. Comput. Vis., 2010

The Video Genome
CoRR, 2010

Volumetric heat kernel signatures.
Proceedings of the ACM workshop on 3D object retrieval, 2010

Intrinsic Regularity Detection in 3D Geometry.
Proceedings of the Computer Vision, 2010

Spatially-Sensitive Affine-Invariant Image Descriptors.
Proceedings of the Computer Vision, 2010

Scale-invariant heat kernel signatures for non-rigid shape recognition.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Data fusion through cross-modality metric learning using similarity-sensitive hashing.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010


SHREC'10 Track: Correspondence Finding.
Proceedings of the 3rd Eurographics Workshop on 3D Object Retrieval, 2010


2009
Numerical Geometry of Non-Rigid Shapes
Monographs in Computer Science, Springer, ISBN: 978-0-387-73301-2, 2009

Partial Similarity of Shapes Using a Statistical Significance Measure.
IPSJ Trans. Comput. Vis. Appl., 2009

Topology-Invariant Similarity of Nonrigid Shapes.
Int. J. Comput. Vis., 2009

Partial Similarity of Objects, or How to Compare a Centaur to a Horse.
Int. J. Comput. Vis., 2009

3D-color video camera.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

Shape Google: a computer vision approach to isometry invariant shape retrieval.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

On reconstruction of non-rigid shapes with intrinsic regularization.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008
Parallel algorithms for approximation of distance maps on parametric surfaces.
ACM Trans. Graph., 2008

Analysis of Two-Dimensional Non-Rigid Shapes.
Int. J. Comput. Vis., 2008

Regularized Partial Matching of Rigid Shapes.
Proceedings of the Computer Vision, 2008

Not only size matters: Regularized partial matching of nonrigid shapes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2008

2007
Isometry-invariant surface matching: numerical algorithms and applications.
PhD thesis, 2007

Calculus of Nonrigid Surfaces for Geometry and Texture Manipulation.
IEEE Trans. Vis. Comput. Graph., 2007

Expression-Invariant Representations of Faces.
IEEE Trans. Image Process., 2007

Weighted distance maps computation on parametric three-dimensional manifolds.
J. Comput. Phys., 2007

Paretian Similarity for Partial Comparison of Non-rigid Objects.
Proceedings of the Scale Space and Variational Methods in Computer Vision, 2007

Symmetries of non-rigid shapes.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

Rock, Paper, and Scissors: extrinsic vs. intrinsic similarity of non-rigid shapes.
Proceedings of the IEEE 11th International Conference on Computer Vision, 2007

2006
Efficient Computation of Isometry-Invariant Distances Between Surfaces.
SIAM J. Sci. Comput., 2006

Multigrid multidimensional scaling.
Numer. Linear Algebra Appl., 2006

On Separation of Semitransparent Dynamic Images from Static Background.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2006

Robust Expression-Invariant Face Recognition from Partially Missing Data.
Proceedings of the Computer Vision, 2006

Topologically Constrained Isometric Embedding.
Proceedings of the Human Motion, Understanding, Modelling, Capture, and Animation [Dagstuhl Seminar, 11.06., 2006

Facetoface: An Isometric Model for Facial Animation.
Proceedings of the Articulated Motion and Deformable Objects, 4th International Conference, 2006

Matching Two-Dimensional Articulated Shapes Using Generalized Multidimensional Scaling.
Proceedings of the Articulated Motion and Deformable Objects, 4th International Conference, 2006

2005
Quasi maximum likelihood MIMO blind deconvolution: Super- and sub-Gaussianity versus consistency.
IEEE Trans. Signal Process., 2005

Relative optimization for blind deconvolution.
IEEE Trans. Signal Process., 2005

Blind deconvolution of images using optimal sparse representations.
IEEE Trans. Image Process., 2005

Sparse ICA for blind separation of transmitted and reflected images.
Int. J. Imaging Syst. Technol., 2005

Three-Dimensional Face Recognition.
Int. J. Comput. Vis., 2005

Isometric Embedding of Facial Surfaces into.
Proceedings of the Scale Space and PDE Methods in Computer Vision, 2005

"Unmixing" tissues: sparse component analysis in multi-contrast MRI.
Proceedings of the 2005 International Conference on Image Processing, 2005

Expression-invariant face recognition via spherical embedding.
Proceedings of the 2005 International Conference on Image Processing, 2005

Blind separation of tissues in multi-modal MRI using Sparse Component Analysis.
Proceedings of the 13th European Signal Processing Conference, 2005

2004
Blind source separation using block-coordinate relative Newton method.
Signal Process., 2004

Quasi-Maximum Likelihood Blind Deconvolution of Images Acquired Through Scattering Media.
Proceedings of the 2004 IEEE International Symposium on Biomedical Imaging: From Nano to Macro, 2004

Fast relative newton algorithm for blind deconvolution of images.
Proceedings of the 2004 International Conference on Image Processing, 2004

Optimal sparse representations for blind source separation and blind deconvolution: a learning approach.
Proceedings of the 2004 International Conference on Image Processing, 2004

Fusion of 2D and 3D data in three-dimensional face recognition.
Proceedings of the 2004 International Conference on Image Processing, 2004

QML Blind Deconvolution: Asymptotic Analysis.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Optimal Sparse Representations for Blind Deconvolution of Images.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Blind Deconvolution Using the Relative Newton Method.
Proceedings of the Independent Component Analysis and Blind Signal Separation, 2004

Face Recognition from Facial Surface Metric.
Proceedings of the Computer Vision, 2004

2003
Separation of reflections via sparse ICA.
Proceedings of the 2003 International Conference on Image Processing, 2003

Separation of semireflective layers using sparse ICA.
Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

Expression-Invariant 3D Face Recognition.
Proceedings of the Audio-and Video-Based Biometrie Person Authentication, 2003

2002
Reconstruction in Diffraction Ultrasound Tomography Using Non-Uniform FFT.
IEEE Trans. Medical Imaging, 2002

Optimal nonlinear estimation of photon coordinates in PET.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002

Iterative reconstruction in diffraction tomography using nonuniform fast Fourier transform.
Proceedings of the 2002 IEEE International Symposium on Biomedical Imaging, 2002


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