Maks Ovsjanikov

CoRR, 2024

To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning.

[BibT_eX]

[DOI]

Souhail Hadgi

CoRR, 2024

Smoothed Graph Contrastive Learning via Seamless Proximity Integration.

[BibT_eX]

[DOI]

Maysam Behmanesh

CoRR, 2024

Fine-tuning 3D foundation models for geometric object retrieval.

[BibT_eX]

[DOI]

Jarne Van den Herrewegen

Tom Tourwé

Francis Wyffels

Comput. Graph., 2024

To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning.

[BibT_eX]

[DOI]

Souhail Hadgi

Proceedings of the Computer Vision - ECCV 2024, 2024

Self-Supervised Dual Contouring.

[BibT_eX]

[DOI]

Ramana Sundararaman

Roman Klokov

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

PoNQ: A Neural QEM-Based Mesh Representation.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Memory-Scalable and Simplified Functional Map Learning.

[BibT_eX]

[DOI]

Robin Magnet

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features.

[BibT_eX]

[DOI]

Thomas Wimmer

Peter Wonka

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024

RIVQ-VAE: Discrete Rotation-Invariant 3D Representation Learning.

[BibT_eX]

[DOI]

Mariem Mezghanni

Malika Boulkenafed

Proceedings of the International Conference on 3D Vision, 2024

Unsupervised Representation Learning for Diverse Deformable Shape Collections.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2024

2023

WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration.

[BibT_eX]

[DOI]

Hongbo Fu

IEEE Trans. Vis. Comput. Graph., July, 2023

Scalable and Efficient Functional Map Computations on Dense Meshes.

[BibT_eX]

[DOI]

Robin Magnet

Comput. Graph. Forum, May, 2023

AtomSurf : Surface Representation for Learning on Protein Structures.

[BibT_eX]

[DOI]

Vincent Mallet

CoRR, 2023

Zero-Shot 3D Shape Correspondence.

[BibT_eX]

[DOI]

Ahmed Abdelreheem

Abdelrahman Eldesokey

Peter Wonka

Proceedings of the SIGGRAPH Asia 2023 Conference Papers, 2023

Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Systems 2023, 2023

TIDE: Time Derivative Diffusion for Deep Learning on Graphs.

[BibT_eX]

[DOI]

Maysam Behmanesh

Maximilian Krahn

Proceedings of the International Conference on Machine Learning, 2023

Spatially and Spectrally Consistent Deep Functional Maps.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

SATR: Zero-Shot Semantic Segmentation of 3D Shapes.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023

Understanding and Improving Features Learned in Deep Functional Maps.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Generalizable Local Feature Pre-training for Deformable Shape Analysis.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

Affection: Learning Affective Explanations for Real-World Visual Data.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023

2022

DiffusionNet: Discretization Agnostic Learning on Surfaces.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2022

Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution.

[BibT_eX]

[DOI]

CoRR, 2022

Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted Bases.

[BibT_eX]

[DOI]

Mikhail Panine

Maxime Kirgo

Comput. Graph. Forum, 2022

Learning Spectral Unions of Partial Deformable 3D Shapes.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2022

Complex Functional Maps: A Conformal Link Between Tangent Bundles.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2022

Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching.

[BibT_eX]

[DOI]

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

NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching.

[BibT_eX]

[DOI]

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

Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching.

[BibT_eX]

[DOI]

Nicolas Donati

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

Matrix Decomposition on Graphs: A Simplified Functional View.

[BibT_eX]

[DOI]

Proceedings of the IEEE International Conference on Acoustics, 2022

Inverse Computational Spectral Geometry.

[BibT_eX]

[DOI]

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

Implicit Field Supervision for Robust Non-rigid Shape Matching.

[BibT_eX]

[DOI]

Ramana Sundararaman

Gautam Pai

Proceedings of the Computer Vision - ECCV 2022, 2022

Physical Simulation Layer for Accurate 3D Modeling.

[BibT_eX]

[DOI]

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching.

[BibT_eX]

[DOI]

Nicolas Donati

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2022

SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence.

[BibT_eX]

[DOI]

Proceedings of the International Conference on 3D Vision, 2022

2021

Intuitive and efficient roof modeling for reconstruction and synthesis.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Differentiable surface triangulation.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2021

Spectral Shape Recovery and Analysis Via Data-driven Connections.

[BibT_eX]

[DOI]

Int. J. Comput. Vis., 2021

Why you should learn functional basis.

[BibT_eX]

[DOI]

CoRR, 2021

Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud.

[BibT_eX]

[DOI]

CoRR, 2021

Learning Canonical Embedding for Non-rigid Shape Matching.

[BibT_eX]

[DOI]

CoRR, 2021

UPDesc: Unsupervised Point Descriptor Learning for Robust Registration.

[BibT_eX]

[DOI]

Hongbo Fu

CoRR, 2021

Spectral Unions of Partial Deformable 3D Shapes.

[BibT_eX]

[DOI]

CoRR, 2021

Matrix Decomposition on Graphs: A Functional View.

[BibT_eX]

[DOI]

CoRR, 2021

Discrete Optimization for Shape Matching.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 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

DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds.

[BibT_eX]

[DOI]

Robin Magnet

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

Learning Delaunay Surface Elements for Mesh Reconstruction.

[BibT_eX]

[DOI]

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

Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps.

[BibT_eX]

[DOI]

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

Physically-Aware Generative Network for 3D Shape Modeling.

[BibT_eX]

[DOI]

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

ArtEmis: Affective Language for Visual Art.

[BibT_eX]

[DOI]

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

DPFM: Deep Partial Functional Maps.

[BibT_eX]

[DOI]

Gautam Pai

Proceedings of the International Conference on 3D Vision, 2021

2020

MapTree: recovering multiple solutions in the space of maps.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2020

Diffusion is All You Need for Learning on Surfaces.

[BibT_eX]

[DOI]

CoRR, 2020

Geometric Matrix Completion: A Functional View.

[BibT_eX]

[DOI]

CoRR, 2020

Weakly Supervised Deep Functional Map for Shape Matching.

[BibT_eX]

[DOI]

CoRR, 2020

PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2020

Spectral Mesh Simplification.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2020

Consistent ZoomOut: Efficient Spectral Map Synchronization.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2020

Weakly Supervised Deep Functional Maps for Shape Matching.

[BibT_eX]

[DOI]

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

Correspondence learning via linearly-invariant embedding.

[BibT_eX]

[DOI]

Riccardo Marin

Simone Melzi

Proceedings of the Advances in Neural Information Processing Systems 33: Annual Conference on Neural Information Processing Systems 2020, 2020

PointTriNet: Learned Triangulation of 3D Point Sets.

[BibT_eX]

[DOI]

Nicholas Sharp

Proceedings of the Computer Vision - ECCV 2020, 2020

Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation.

[BibT_eX]

[DOI]

Proceedings of the Computer Vision - ECCV 2020, 2020

Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence.

[BibT_eX]

[DOI]

Nicolas Donati

Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 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

Spectral coarsening of geometric operators.

[BibT_eX]

[DOI]

Hsueh-Ti Derek Liu

Alec Jacobson

ACM Trans. Graph., 2019

Functional Characterization of Deformation Fields.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2019

ZoomOut: Spectral Upsampling for Efficient Shape Correspondence.

[BibT_eX]

[DOI]

CoRR, 2019

Structured Regularization of Functional Map Computations.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2019

Robust Structure-Based Shape Correspondence.

[BibT_eX]

[DOI]

Yanir Kleiman

Comput. Graph. Forum, 2019

Limit Shapes - A Tool for Understanding Shape Differences and Variability in 3D Model Collections.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2019

Connectivity-preserving Smooth Surface Filling with Sharp Features.

[BibT_eX]

[DOI]

Proceedings of the 27th Pacific Conference on Computer Graphics and Applications, 2019

Unsupervised Deep Learning for Structured Shape Matching.

[BibT_eX]

[DOI]

Jean-Michel Roufosse

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

OperatorNet: Recovering 3D Shapes From Difference Operators.

[BibT_eX]

[DOI]

Ruqi Huang

Panos Achlioptas

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 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

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

[BibT_eX]

[DOI]

Arianna Rampini

Irene Tallini

Emanuele Rodolà

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

Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels.

[BibT_eX]

[DOI]

Yann Ponty

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

2018

Joint Graph Layouts for Visualizing Collections of Segmented Meshes.

[BibT_eX]

[DOI]

IEEE Trans. Vis. Comput. Graph., 2018

Continuous and orientation-preserving correspondences via functional maps.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

Multi-directional geodesic neural networks via equivariant convolution.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

Discrete Time Evolution Process Descriptor for Shape Analysis and Matching.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2018

Unsupervised Deep Learning for Structured Shape Matching.

[BibT_eX]

[DOI]

Jean-Michel Roufosse

CoRR, 2018

Latent Space Representation for Shape Analysis and Learning.

[BibT_eX]

[DOI]

CoRR, 2018

Topological Function Optimization for Continuous Shape Matching.

[BibT_eX]

[DOI]

Primoz Skraba

Comput. Graph. Forum, 2018

Improved Functional Mappings via Product Preservation.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2018

A Survey on Data-driven Dictionary-based Methods for 3D Modeling.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2018

On the Stability of Functional Maps and Shape Difference Operators.

[BibT_eX]

[DOI]

Ruqi Huang

Frédéric Chazal

Comput. Graph. Forum, 2018

PCPNet Learning Local Shape Properties from Raw Point Clouds.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2018

Foreword to the Special Section on Eurographics Workshop on 3D Object Retrieval 2017.

[BibT_eX]

[DOI]

Comput. Graph., 2018

Spectral Measures of Distortion for Change Detection in Dynamic Graphs.

[BibT_eX]

[DOI]

Luca Castelli Aleardi

Semih Salihoglu

Gurprit Singh

Proceedings of the Complex Networks and Their Applications VII, 2018

2017

Functional Characterization of Intrinsic and Extrinsic Geometry.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

Consistent functional cross field design for mesh quadrangulation.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2017

Functoriality in Geometric Data (Dagstuhl Seminar 17021).

[BibT_eX]

[DOI]

Dagstuhl Reports, 2017

Informative Descriptor Preservation via Commutativity for Shape Matching.

[BibT_eX]

[DOI]

Dorian Nogneng

Comput. Graph. Forum, 2017

Adjoint Map Representation for Shape Analysis and Matching.

[BibT_eX]

[DOI]

Ruqi Huang

Comput. Graph. Forum, 2017

Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering.

[BibT_eX]

[DOI]

Mário A. T. Figueiredo

Yanir Kleiman

Proceedings of the IEEE International Conference on Computer Vision, 2017

Functional View of Geometry Processing: Operator-based Techniques for Shape Analysis.

[BibT_eX]

[DOI]

Vignesh Ganapathi-Subramanian

, 2017

2016

Stable Region Correspondences Between Non-Isometric Shapes.

[BibT_eX]

[DOI]

Boris Thibert

Comput. Graph. Forum, 2016

Scene Structure Inference through Scene Map Estimation.

[BibT_eX]

[DOI]

Proceedings of the 21st International Symposium on Vision, Modeling, and Visualization, 2016

Computing and processing correspondences with functional maps.

[BibT_eX]

[DOI]

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

Persistence-Based Pooling for Shape Pose Recognition.

[BibT_eX]

[DOI]

Proceedings of the Computational Topology in Image Context - 6th International Workshop, 2016

3D Sketch-Based 3D Shape Retrieval.

[BibT_eX]

[DOI]

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

2015

CrossLink: joint understanding of image and 3D model collections through shape and camera pose variations.

[BibT_eX]

[DOI]

Moos Hueting

Niloy J. Mitra

ACM Trans. Graph., 2015

Discrete Derivatives of Vector Fields on Surfaces - An Operator Approach.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2015

Continuous Matching via Vector Field Flow.

[BibT_eX]

[DOI]

Antonin Chambolle

Comput. Graph. Forum, 2015

Stable Topological Signatures for Points on 3D Shapes.

[BibT_eX]

[DOI]

Mathieu Carrière

Steve Y. Oudot

Comput. Graph. Forum, 2015

Efficient and Practical Tree Preconditioning for Solving Laplacian Systems.

[BibT_eX]

[DOI]

Luca Castelli Aleardi

Alexandre Nolin

Proceedings of the Experimental Algorithms - 14th International Symposium, 2015

Affine invariant visual phrases for object instance recognition.

[BibT_eX]

[DOI]

Viorica Patraucean

Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015

2014

Functional Fluids on Surfaces.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2014

Supervised Descriptor Learning for Non-Rigid Shape Matching.

[BibT_eX]

[DOI]

Antonin Chambolle

Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014

Unsupervised Multi-class Joint Image Segmentation.

[BibT_eX]

[DOI]

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

Persistence-Based Structural Recognition.

[BibT_eX]

[DOI]

Chunyuan Li

Frédéric Chazal

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

Automatic Location of Landmarks used in Manual Anthropometry.

[BibT_eX]

[DOI]

Proceedings of the 7th Eurographics Workshop on 3D Object Retrieval, 2014

2013

Map-based exploration of intrinsic shape differences and variability.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2013

Shape Matching via Quotient Spaces.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2013

Analysis and Visualization of Maps Between Shapes.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2013

An Operator Approach to Tangent Vector Field Processing.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2013

Symmetry in Shapes - Theory and Practice.

[BibT_eX]

[DOI]

Proceedings of the 34th Annual Conference of the European Association for Computer Graphics, 2013

Detection of Mirror-Symmetric Image Patches.

[BibT_eX]

[DOI]

Viorica Patraucean

Rafael Grompone von Gioi

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

2012

Functional maps: a flexible representation of maps between shapes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2012

Feature-Based Methods in 3D Shape Analysis.

[BibT_eX]

[DOI]

Michael M. Bronstein

Proceedings of the 3D Imaging, Analysis and Applications, 2012

2011

Voronoi-Based Curvature and Feature Estimation from Point Clouds.

[BibT_eX]

[DOI]

Quentin Mérigot

IEEE Trans. Vis. Comput. Graph., 2011

Exploration of continuous variability in collections of 3D shapes.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2011

Shape google: Geometric words and expressions for invariant shape retrieval.

[BibT_eX]

[DOI]

Michael M. Bronstein

ACM Trans. Graph., 2011

A Condition Number for Non-Rigid Shape Matching.

[BibT_eX]

[DOI]

Qi-Xing Huang

Comput. Graph. Forum, 2011

2010

One Point Isometric Matching with the Heat Kernel.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2010

Meshless Shape and Motion Design for Multiple Deformable Objects.

[BibT_eX]

[DOI]

Comput. Graph. Forum, 2010

Topic Modeling for Personalized Recommendation of Volatile Items.

[BibT_eX]

[DOI]

Ye Chen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010

Persistence-based segmentation of deformable shapes.

[BibT_eX]

[DOI]

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

Image webs: Computing and exploiting connectivity in image collections.

[BibT_eX]

[DOI]

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

SHREC'10 Track: Robust Shape Retrieval.

[BibT_eX]

[DOI]

Proceedings of the 3rd Eurographics Workshop on 3D Object Retrieval, 2010

SHREC'10 Track: Correspondence Finding.

[BibT_eX]

[DOI]

Proceedings of the 3rd Eurographics Workshop on 3D Object Retrieval, 2010

SHREC'10 Track: Feature Detection and Description.

[BibT_eX]

[DOI]

Proceedings of the 3rd Eurographics Workshop on 3D Object Retrieval, 2010

2009

Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data.

[BibT_eX]

[DOI]

ACM Trans. Graph., 2009

A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion.

[BibT_eX]

[DOI]

Jian Sun

Comput. Graph. Forum, 2009

Robust Voronoi-based curvature and feature estimation.

[BibT_eX]

[DOI]

Quentin Mérigot

Proceedings of the 2009 ACM Symposium on Solid and Physical Modeling, 2009

Shape Google: a computer vision approach to isometry invariant shape retrieval.

[BibT_eX]

[DOI]

Michael M. Bronstein

Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009

2008

Global Intrinsic Symmetries of Shapes.

[BibT_eX]

[DOI]

Jian Sun