Emanuele Rodolà

Maks Ovsjanikov

Proceedings of the Advances in Neural Information Processing Systems 35: Annual Conference on Neural Information Processing Systems 2022, 2022

Metric Based Few-Shot Graph Classification.

[BibT_eX]

[DOI]

Proceedings of the Learning on Graphs Conference, 2022

Inverse Computational Spectral Geometry.

[BibT_eX]

[DOI]

Proceedings of the 43rd Annual Conference of the European Association for Computer Graphics, 2022

3D Human Pose Estimation Using Möbius Graph Convolutional Networks.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2022, 2022

2021

Spectral Shape Recovery and Analysis Via Data-driven Connections.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

Graph Kernel Neural Networks.

[BibT_eX]

[DOI]

CoRR, 2021

Why you should learn functional basis.

[BibT_eX]

[DOI]

CoRR, 2021

Unsupervised Source Separation via Bayesian Inference in the Latent Domain.

[BibT_eX]

[DOI]

CoRR, 2021

Learning to generate shape from global-local spectra.

[BibT_eX]

[DOI]

CoRR, 2021

Spectral Unions of Partial Deformable 3D Shapes.

[BibT_eX]

[DOI]

CoRR, 2021

Orthogonalized Fourier Polynomials for Signal Approximation and Transfer.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2021

Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2021

Shape Registration in the Time of Transformers.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 34: Annual Conference on Neural Information Processing Systems 2021, 2021

Efficiently Parallelizable Strassen-Based Multiplication of a Matrix by its Transpose.

[BibT_eX]

[DOI]

Proceedings of the ICPP 2021: 50th International Conference on Parallel Processing, Lemont, IL, USA, August 9, 2021

Learning disentangled representations via product manifold projection.

[BibT_eX]

[DOI]

Proceedings of the 38th International Conference on Machine Learning, 2021

Universal Spectral Adversarial Attacks for Deformable Shapes.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021

Cluster-Driven Graph Federated Learning Over Multiple Domains.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition Workshops, 2021

2020

Nonlinear spectral geometry processing via the TV transform.

[BibT_eX]

[DOI]

Marco Fumero

Michael Möller

ACM Trans. Graph., 2020

2-D Skeleton-Based Action Recognition via Two-Branch Stacked LSTM-RNNs.

[BibT_eX]

[DOI]

IEEE Trans. Multim., 2020

Knowledge-Driven Learning via Experts Consult for Thyroid Nodule Classification.

[BibT_eX]

[DOI]

CoRR, 2020

The Whole Is Greater Than the Sum of Its Nonrigid Parts.

[BibT_eX]

[DOI]

CoRR, 2020

A parametric analysis of discrete Hamiltonian functional maps.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2020

FARM: Functional Automatic Registration Method for 3D Human Bodies.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2020

Generating Adversarial Surfaces via Band-Limited Perturbations.

[BibT_eX]

[DOI]

Giorgio Mariani

Luca Cosmo

Comput. Graph. Forum, 2020

Towards Precise Completion of Deformable Shapes.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

LIMP: Learning Latent Shape Representations with Metric Preservation Priors.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Instant recovery of shape from spectrum via latent space connections.

[BibT_eX]

[DOI]

Proceedings of the 8th International Conference on 3D Vision, 2020

2019

ZoomOut: spectral upsampling for efficient shape correspondence.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

ZoomOut: Spectral Upsampling for Efficient Shape Correspondence.

[BibT_eX]

[DOI]

CoRR, 2019

Functional Maps Representation On Product Manifolds.

[BibT_eX]

[DOI]

Zorah Lähner

Justin Solomon

Comput. Graph. Forum, 2019

Deep Learning for Computer Graphics and Geometry Processing.

[BibT_eX]

[DOI]

Proceedings of the 40th Annual Conference of the European Association for Computer Graphics, 2019

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Unsupervised Learning of Dense Shape Correspondence.

[BibT_eX]

[DOI]

Oshri Halimi

Ron Kimmel

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Isospectralization, or How to Hear Shape, Style, and Correspondence.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019

Matching Humans with Different Connectivity.

[BibT_eX]

[DOI]

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

Shape Correspondence with Isometric and Non-Isometric Deformations.

[BibT_eX]

[DOI]

Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019

Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.

[BibT_eX]

[DOI]

Arianna Rampini

Irene Tallini

Maks Ovsjanikov

Proceedings of the 2019 International Conference on 3D Vision, 2019

High-Resolution Augmentation for Automatic Template-Based Matching of Human Models.

[BibT_eX]

[DOI]

Proceedings of the 2019 International Conference on 3D Vision, 2019

2018

Self-supervised Learning of Dense Shape Correspondence.

[BibT_eX]

[DOI]

Oshri Halimi

Ron Kimmel

CoRR, 2018

Improved Functional Mappings via Product Preservation.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2018

Localized Manifold Harmonics for Spectral Shape Analysis.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2018

Functional Maps on Product Manifolds.

[BibT_eX]

[DOI]

Proceedings of the 16th Eurographics Symposium on Geometry Processing, 2018

Structured Prediction of Dense Maps between Geometric Domains.

[BibT_eX]

[DOI]

Proceedings of the 2018 IEEE International Conference on Acoustics, 2018

2017

Regularized Pointwise Map Recovery from Functional Correspondence.

[BibT_eX]

[DOI]

Michael Möller

Comput. Graph. Forum, 2017

Partial Functional Correspondence.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2017

Fully Spectral Partial Shape Matching.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2017

Consistent Partial Matching of Shape Collections via Sparse Modeling.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2017

Computing and processing correspondences with functional maps.

[BibT_eX]

[DOI]

Proceedings of the Special Interest Group on Computer Graphics and Interactive Techniques Conference, 2017

Deep Functional Maps: Structured Prediction for Dense Shape Correspondence.

[BibT_eX]

[DOI]

Tal Remez

Proceedings of the IEEE International Conference on Computer Vision, 2017

Product Manifold Filter: Non-rigid Shape Correspondence via Kernel Density Estimation in the Product Space.

[BibT_eX]

[DOI]

Matthias Vestner

Roee Litman

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Geometric Deep Learning on Graphs and Manifolds Using Mixture Model CNNs.

[BibT_eX]

[DOI]

Proceedings of the 2017 IEEE Conference on Computer Vision and Pattern Recognition, 2017

Deformable Shape Retrieval with Missing Parts.

[BibT_eX]

[DOI]

Proceedings of the 10th Eurographics Workshop on 3D Object Retrieval, 2017

Efficient Deformable Shape Correspondence via Kernel Matching.

[BibT_eX]

[DOI]

Ron Kimmel

Proceedings of the 2017 International Conference on 3D Vision, 2017

Spatial Maps: From Low Rank Spectral to Sparse Spatial Functional Representations.

[BibT_eX]

[DOI]

Proceedings of the 2017 International Conference on 3D Vision, 2017

2016

An Accurate and Robust Artificial Marker Based on Cyclic Codes.

[BibT_eX]

[DOI]

IEEE Trans. Pattern Anal. Mach. Intell., 2016

Bayesian Inference of Bijective Non-Rigid Shape Correspondence.

[BibT_eX]

[DOI]

Matthias Vestner

Roee Litman

CoRR, 2016

Non-Rigid Puzzles.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2016

Anisotropic Diffusion Descriptors.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2016

Geometric deep learning.

[BibT_eX]

[DOI]

Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016

Learning shape correspondence with anisotropic convolutional neural networks.

[BibT_eX]

[DOI]

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

A game-theoretical approach for joint matching of multiple feature throughout unordered images.

[BibT_eX]

[DOI]

Proceedings of the 23rd International Conference on Pattern Recognition, 2016

Deep Learning for Shape Analysis.

[BibT_eX]

[DOI]

Evangelos Kalogerakis

Jonathan Masci

Davide Boscaini

Proceedings of the 37th Annual Conference of the European Association for Computer Graphics, 2016

Efficient Globally Optimal 2D-to-3D Deformable Shape Matching.

[BibT_eX]

[DOI]

Proceedings of the 2016 IEEE Conference on Computer Vision and Pattern Recognition, 2016

Matching of Deformable Shapes with Topological Noise.

[BibT_eX]

[DOI]

Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

Partial Matching of Deformable Shapes.

[BibT_eX]

[DOI]

Proceedings of the 9th Eurographics Workshop on 3D Object Retrieval, 2016

Shape Analysis with Anisotropic Windowed Fourier Transform.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on 3D Vision, 2016

Coupled Functional Maps.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on 3D Vision, 2016

Matching Deformable Objects in Clutter.

[BibT_eX]

[DOI]

Proceedings of the Fourth International Conference on 3D Vision, 2016

Applying Random Forests to the Problem of Dense Non-rigid Shape Correspondence.

[BibT_eX]

[DOI]

Proceedings of the Perspectives in Shape Analysis, 2016

2015

A simple and effective relevance-based point sampling for 3D shapes.

[BibT_eX]

[DOI]

Pattern Recognit. Lett., 2015

Fast and accurate surface alignment through an isometry-enforcing game.

[BibT_eX]

[DOI]

Pattern Recognit., 2015

Realistic photometric stereo using partial differential irradiance equation ratios.

[BibT_eX]

[DOI]

Roberto Mecca

Comput. Graph., 2015

Point-wise Map Recovery and Refinement from Functional Correspondence.

[BibT_eX]

[DOI]

Michael Möller

Proceedings of the 20th International Symposium on Vision, Modeling, and Visualization, 2015

Adopting an unconstrained ray model in light-field cameras for 3D shape reconstruction.

[BibT_eX]

[DOI]

Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2015

2014

Robust Region Detection via Consensus Segmentation of Deformable Shapes.

[BibT_eX]

[DOI]

Samuel Rota Bulò

Comput. Graph. Forum, 2014

Anisotropic Laplace-Beltrami Operators for Shape Analysis.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Dense Non-rigid Shape Correspondence Using Random Forests.

[BibT_eX]

[DOI]

Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014

Optimal Intrinsic Descriptors for Non-Rigid Shape Analysis.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2014

Learning Similarities for Rigid and Non-rigid Object Detection.

[BibT_eX]

[DOI]

Proceedings of the 2nd International Conference on 3D Vision, 2014

2013

A Game-Theoretic Approach to Pairwise Clustering and Matching.

[BibT_eX]

[DOI]

Proceedings of the Similarity-Based Pattern Analysis and Recognition, 2013

Stable and fast techniques for unambiguous compound phase coding.

[BibT_eX]

[DOI]

Image Vis. Comput., 2013

A Scale Independent Selection Process for 3D Object Recognition in Cluttered Scenes.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2013

Elastic Net Constraints for Shape Matching.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Computer Vision, 2013

Can a Fully Unconstrained Imaging Model Be Applied Effectively to Central Cameras?

[BibT_eX]

[DOI]

Proceedings of the 2013 IEEE Conference on Computer Vision and Pattern Recognition, 2013

Efficient Shape Matching using Vector Extrapolation.

[BibT_eX]

[DOI]

Proceedings of the British Machine Vision Conference, 2013

2012

Sparse and robust matching problem for 3D shape analysis.

[BibT_eX]

[DOI]

PhD thesis, 2012

Imposing Semi-Local Geometric Constraints for Accurate Correspondences Selection in Structure from Motion: A Game-Theoretic Perspective.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2012

A game-theoretic approach to deformable shape matching.

[BibT_eX]

[DOI]

Filippo Bergamasco

Proceedings of the 2012 IEEE Conference on Computer Vision and Pattern Recognition, 2012

2011

Multiview registration via graph diffusion of dual quaternions.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

RUNE-Tag: A high accuracy fiducial marker with strong occlusion resilience.

[BibT_eX]

[DOI]

Proceedings of the 24th IEEE Conference on Computer Vision and Pattern Recognition, 2011

Sampling Relevant Points for Surface Registration.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Imaging, 2011

A Non-cooperative Game for 3D Object Recognition in Cluttered Scenes.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Imaging, 2011

2010

A Game-Theoretic Approach to the Enforcement of Global Consistency in Multi-view Feature Matching.

[BibT_eX]

[DOI]

Proceedings of the Structural, 2010

A Game-Theoretic Approach to Robust Selection of Multi-view Point Correspondence.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Robust Figure Extraction on Textured Background: A Game-Theoretic Approach.

[BibT_eX]

[DOI]

Proceedings of the 20th International Conference on Pattern Recognition, 2010

Loosely Distinctive Features for Robust Surface Alignment.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2010, 2010

A game-theoretic approach to fine surface registration without initial motion estimation.

[BibT_eX]

[DOI]

Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010

Robust Camera Calibration using Inaccurate Targets.

[BibT_eX]

[DOI]