2024
Deformation Recovery: Localized Learning for Detail-Preserving Deformations.
ACM Trans. Graph., December, 2024
GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space.
CoRR, 2024
ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models.
CoRR, 2024
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning.
CoRR, 2024
Smoothed Graph Contrastive Learning via Seamless Proximity Integration.
CoRR, 2024
Fine-tuning 3D foundation models for geometric object retrieval.
Comput. Graph., 2024
DeBaRA: Denoising-Based 3D Room Arrangement Generation.
Proceedings of the Advances in Neural Information Processing Systems 38: Annual Conference on Neural Information Processing Systems 2024, 2024
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning.
Proceedings of the Computer Vision - ECCV 2024, 2024
Self-Supervised Dual Contouring.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
PoNQ: A Neural QEM-Based Mesh Representation.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
Memory-Scalable and Simplified Functional Map Learning.
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.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2024
RIVQ-VAE: Discrete Rotation-Invariant 3D Representation Learning.
Proceedings of the International Conference on 3D Vision, 2024
Unsupervised Representation Learning for Diverse Deformable Shape Collections.
Proceedings of the International Conference on 3D Vision, 2024
2023
WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration.
IEEE Trans. Vis. Comput. Graph., July, 2023
Scalable and Efficient Functional Map Computations on Dense Meshes.
Comput. Graph. Forum, May, 2023
AtomSurf : Surface Representation for Learning on Protein Structures.
CoRR, 2023
Zero-Shot 3D Shape Correspondence.
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.
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.
Proceedings of the International Conference on Machine Learning, 2023
Spatially and Spectrally Consistent Deep Functional Maps.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
SATR: Zero-Shot Semantic Segmentation of 3D Shapes.
Proceedings of the IEEE/CVF International Conference on Computer Vision, 2023
Understanding and Improving Features Learned in Deep Functional Maps.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Generalizable Local Feature Pre-training for Deformable Shape Analysis.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
Affection: Learning Affective Explanations for Real-World Visual Data.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2023
2022
DiffusionNet: Discretization Agnostic Learning on Surfaces.
ACM Trans. Graph., 2022
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution.
CoRR, 2022
Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted Bases.
Comput. Graph. Forum, 2022
Learning Spectral Unions of Partial Deformable 3D Shapes.
Comput. Graph. Forum, 2022
Complex Functional Maps: A Conformal Link Between Tangent Bundles.
Comput. Graph. Forum, 2022
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching.
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.
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.
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.
Proceedings of the IEEE International Conference on Acoustics, 2022
Inverse Computational Spectral Geometry.
Proceedings of the 43rd Annual Conference of the European Association for Computer Graphics, 2022
Implicit Field Supervision for Robust Non-rigid Shape Matching.
Proceedings of the Computer Vision - ECCV 2022, 2022
Physical Simulation Layer for Accurate 3D Modeling.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching.
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022
Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization.
Proceedings of the International Conference on 3D Vision, 2022
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence.
Proceedings of the International Conference on 3D Vision, 2022
2021
Intuitive and efficient roof modeling for reconstruction and synthesis.
ACM Trans. Graph., 2021
Differentiable surface triangulation.
ACM Trans. Graph., 2021
Spectral Shape Recovery and Analysis Via Data-driven Connections.
Int. J. Comput. Vis., 2021
Why you should learn functional basis.
CoRR, 2021
Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud.
CoRR, 2021
Learning Canonical Embedding for Non-rigid Shape Matching.
CoRR, 2021
UPDesc: Unsupervised Point Descriptor Learning for Robust Registration.
CoRR, 2021
Spectral Unions of Partial Deformable 3D Shapes.
CoRR, 2021
Matrix Decomposition on Graphs: A Functional View.
CoRR, 2021
Discrete Optimization for Shape Matching.
Comput. Graph. Forum, 2021
Orthogonalized Fourier Polynomials for Signal Approximation and Transfer.
Comput. Graph. Forum, 2021
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis.
Comput. Graph. Forum, 2021
DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds.
Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021
Learning Delaunay Surface Elements for Mesh Reconstruction.
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.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
Physically-Aware Generative Network for 3D Shape Modeling.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
ArtEmis: Affective Language for Visual Art.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2021
DPFM: Deep Partial Functional Maps.
Proceedings of the International Conference on 3D Vision, 2021
2020
MapTree: recovering multiple solutions in the space of maps.
ACM Trans. Graph., 2020
Diffusion is All You Need for Learning on Surfaces.
CoRR, 2020
Geometric Matrix Completion: A Functional View.
CoRR, 2020
Weakly Supervised Deep Functional Map for Shape Matching.
CoRR, 2020
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds.
Comput. Graph. Forum, 2020
Spectral Mesh Simplification.
Comput. Graph. Forum, 2020
Consistent ZoomOut: Efficient Spectral Map Synchronization.
Comput. Graph. Forum, 2020
Weakly Supervised Deep Functional Maps for Shape Matching.
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.
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.
Proceedings of the Computer Vision - ECCV 2020, 2020
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation.
Proceedings of the Computer Vision - ECCV 2020, 2020
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence.
Proceedings of the 2020 IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2020
Instant recovery of shape from spectrum via latent space connections.
Proceedings of the 8th International Conference on 3D Vision, 2020
2019
ZoomOut: spectral upsampling for efficient shape correspondence.
ACM Trans. Graph., 2019
Spectral coarsening of geometric operators.
ACM Trans. Graph., 2019
Functional Characterization of Deformation Fields.
ACM Trans. Graph., 2019
ZoomOut: Spectral Upsampling for Efficient Shape Correspondence.
CoRR, 2019
Structured Regularization of Functional Map Computations.
Comput. Graph. Forum, 2019
Robust Structure-Based Shape Correspondence.
Comput. Graph. Forum, 2019
Limit Shapes - A Tool for Understanding Shape Differences and Variability in 3D Model Collections.
Comput. Graph. Forum, 2019
Connectivity-preserving Smooth Surface Filling with Sharp Features.
Proceedings of the 27th Pacific Conference on Computer Graphics and Applications, 2019
Unsupervised Deep Learning for Structured Shape Matching.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
OperatorNet: Recovering 3D Shapes From Difference Operators.
Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019
Isospectralization, or How to Hear Shape, Style, and Correspondence.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2019
Matching Humans with Different Connectivity.
Proceedings of the 12th Eurographics Workshop on 3D Object Retrieval, 2019
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment.
Proceedings of the 2019 International Conference on 3D Vision, 2019
Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels.
Proceedings of the 2019 International Conference on 3D Vision, 2019
2018
Joint Graph Layouts for Visualizing Collections of Segmented Meshes.
IEEE Trans. Vis. Comput. Graph., 2018
Continuous and orientation-preserving correspondences via functional maps.
ACM Trans. Graph., 2018
Multi-directional geodesic neural networks via equivariant convolution.
ACM Trans. Graph., 2018
Discrete Time Evolution Process Descriptor for Shape Analysis and Matching.
ACM Trans. Graph., 2018
Unsupervised Deep Learning for Structured Shape Matching.
CoRR, 2018
Latent Space Representation for Shape Analysis and Learning.
CoRR, 2018
Topological Function Optimization for Continuous Shape Matching.
Comput. Graph. Forum, 2018
Improved Functional Mappings via Product Preservation.
Comput. Graph. Forum, 2018
A Survey on Data-driven Dictionary-based Methods for 3D Modeling.
Comput. Graph. Forum, 2018
On the Stability of Functional Maps and Shape Difference Operators.
Comput. Graph. Forum, 2018
PCPNet Learning Local Shape Properties from Raw Point Clouds.
Comput. Graph. Forum, 2018
Foreword to the Special Section on Eurographics Workshop on 3D Object Retrieval 2017.
Comput. Graph., 2018
Spectral Measures of Distortion for Change Detection in Dynamic Graphs.
Proceedings of the Complex Networks and Their Applications VII, 2018
2017
Functional Characterization of Intrinsic and Extrinsic Geometry.
ACM Trans. Graph., 2017
Consistent functional cross field design for mesh quadrangulation.
ACM Trans. Graph., 2017
Functoriality in Geometric Data (Dagstuhl Seminar 17021).
Dagstuhl Reports, 2017
Informative Descriptor Preservation via Commutativity for Shape Matching.
Comput. Graph. Forum, 2017
Adjoint Map Representation for Shape Analysis and Matching.
Comput. Graph. Forum, 2017
Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering.
Proceedings of the IEEE International Conference on Computer Vision, 2017
Functional View of Geometry Processing: Operator-based Techniques for Shape Analysis.
, 2017
2016
Stable Region Correspondences Between Non-Isometric Shapes.
Comput. Graph. Forum, 2016
Scene Structure Inference through Scene Map Estimation.
Proceedings of the 21st International Symposium on Vision, Modeling, and Visualization, 2016
Computing and processing correspondences with functional maps.
Proceedings of the SIGGRAPH ASIA 2016, Macao, December 5-8, 2016 - Courses, 2016
Persistence-Based Pooling for Shape Pose Recognition.
Proceedings of the Computational Topology in Image Context - 6th International Workshop, 2016
3D Sketch-Based 3D Shape Retrieval.
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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.
ACM Trans. Graph., 2015
Discrete Derivatives of Vector Fields on Surfaces - An Operator Approach.
ACM Trans. Graph., 2015
Continuous Matching via Vector Field Flow.
Comput. Graph. Forum, 2015
Stable Topological Signatures for Points on 3D Shapes.
Comput. Graph. Forum, 2015
Efficient and Practical Tree Preconditioning for Solving Laplacian Systems.
Proceedings of the Experimental Algorithms - 14th International Symposium, 2015
Affine invariant visual phrases for object instance recognition.
Proceedings of the 14th IAPR International Conference on Machine Vision Applications, 2015
2014
Functional Fluids on Surfaces.
Comput. Graph. Forum, 2014
Supervised Descriptor Learning for Non-Rigid Shape Matching.
Proceedings of the Computer Vision - ECCV 2014 Workshops, 2014
Unsupervised Multi-class Joint Image Segmentation.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Persistence-Based Structural Recognition.
Proceedings of the 2014 IEEE Conference on Computer Vision and Pattern Recognition, 2014
Automatic Location of Landmarks used in Manual Anthropometry.
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Proceedings of the 7th Eurographics Workshop on 3D Object Retrieval, 2014
2013
Map-based exploration of intrinsic shape differences and variability.
ACM Trans. Graph., 2013
Shape Matching via Quotient Spaces.
Comput. Graph. Forum, 2013
Analysis and Visualization of Maps Between Shapes.
Comput. Graph. Forum, 2013
An Operator Approach to Tangent Vector Field Processing.
Comput. Graph. Forum, 2013
Symmetry in Shapes - Theory and Practice.
Proceedings of the 34th Annual Conference of the European Association for Computer Graphics, 2013
Detection of Mirror-Symmetric Image Patches.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2013
2012
Functional maps: a flexible representation of maps between shapes.
ACM Trans. Graph., 2012
Feature-Based Methods in 3D Shape Analysis.
Proceedings of the 3D Imaging, Analysis and Applications, 2012
2011
Voronoi-Based Curvature and Feature Estimation from Point Clouds.
IEEE Trans. Vis. Comput. Graph., 2011
Exploration of continuous variability in collections of 3D shapes.
ACM Trans. Graph., 2011
Shape google: Geometric words and expressions for invariant shape retrieval.
ACM Trans. Graph., 2011
A Condition Number for Non-Rigid Shape Matching.
Comput. Graph. Forum, 2011
2010
One Point Isometric Matching with the Heat Kernel.
Comput. Graph. Forum, 2010
Meshless Shape and Motion Design for Multiple Deformable Objects.
Comput. Graph. Forum, 2010
Topic Modeling for Personalized Recommendation of Volatile Items.
Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2010
Persistence-based segmentation of deformable shapes.
Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition, 2010
Image webs: Computing and exploiting connectivity in image collections.
Proceedings of the Twenty-Third IEEE Conference on Computer Vision and Pattern Recognition, 2010
SHREC'10 Track: Robust Shape Retrieval.
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Proceedings of the 3rd Eurographics Workshop on 3D Object Retrieval, 2010
SHREC'10 Track: Correspondence Finding.
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Proceedings of the 3rd Eurographics Workshop on 3D Object Retrieval, 2010
SHREC'10 Track: Feature Detection and Description.
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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.
ACM Trans. Graph., 2009
A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion.
Comput. Graph. Forum, 2009
Robust Voronoi-based curvature and feature estimation.
Proceedings of the 2009 ACM Symposium on Solid and Physical Modeling, 2009
Shape Google: a computer vision approach to isometry invariant shape retrieval.
Proceedings of the 12th IEEE International Conference on Computer Vision Workshops, 2009
2008
Global Intrinsic Symmetries of Shapes.
Comput. Graph. Forum, 2008
Meshless Modeling of Deformable Shapes and their Motion.
Proceedings of the 2008 Eurographics/ACM SIGGRAPH Symposium on Computer Animation, 2008
2007
Dynamic geometry registration.
Proceedings of the Fifth Eurographics Symposium on Geometry Processing, Barcelona, 2007