Maks Ovsjanikov

ORCID

Publication Activity (10 Years)

Years Active: 2007-2024
Publications (10 Years): 149

Top Venues

Publications

Souhaib Attaiki, Maks Ovsjanikov
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction. CoRR (2024)
Maysam Behmanesh, Maks Ovsjanikov
Smoothed Graph Contrastive Learning via Seamless Proximity Integration. CoRR (2024)
Sara Hahner, Souhaib Attaiki, Jochen Garcke, Maks Ovsjanikov
Unsupervised Representation Learning for Diverse Deformable Shape Collections. 3DV (2024)
Robin Magnet, Maks Ovsjanikov
Memory-Scalable and Simplified Functional Map Learning. CoRR (2024)
Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov
Self-Supervised Dual Contouring. CoRR (2024)
Mariem Mezghanni, Malika Boulkenafed, Maks Ovsjanikov
RIVQ-VAE: Discrete Rotation-Invariant 3D Representation Learning. 3DV (2024)
Jarne Van den Herrewegen, Tom Tourwé, Maks Ovsjanikov, Francis Wyffels
Fine-tuning 3D foundation models for geometric object retrieval. Comput. Graph. 122 (2024)
Souhail Hadgi, Lei Li, Maks Ovsjanikov
To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning. CoRR (2024)
Nissim Maruani, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun
PoNQ: a Neural QEM-based Mesh Representation. CoRR (2024)
Thomas Wimmer, Peter Wonka, Maks Ovsjanikov
Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features. CoRR (2023)
Vincent Mallet, Souhaib Attaiki, Maks Ovsjanikov
AtomSurf : Surface Representation for Learning on Protein Structures. CoRR (2023)
Ahmed Abdelreheem, Abdelrahman Eldesokey, Maks Ovsjanikov, Peter Wonka
Zero-Shot 3D Shape Correspondence. CoRR (2023)
Robin Magnet, Maks Ovsjanikov
Scalable and Efficient Functional Map Computations on Dense Meshes. Comput. Graph. Forum 42 (2) (2023)
Nissim Maruani, Roman Klokov, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams. ICCV (2023)
Robin Magnet, Maks Ovsjanikov
Scalable and Efficient Functional Map Computations on Dense Meshes. CoRR (2023)
Ahmed Abdelreheem, Abdelrahman Eldesokey, Maks Ovsjanikov, Peter Wonka
Zero-Shot 3D Shape Correspondence. SIGGRAPH Asia (2023)
Souhaib Attaiki, Maks Ovsjanikov
Understanding and Improving Features Learned in Deep Functional Maps. CoRR (2023)
Souhaib Attaiki, Maks Ovsjanikov
Understanding and Improving Features Learned in Deep Functional Maps. CVPR (2023)
Mingze Sun, Shiwei Mao, Puhua Jiang, Maks Ovsjanikov, Ruqi Huang
Spatially and Spectrally Consistent Deep Functional Maps. CoRR (2023)
Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov
Affection: Learning Affective Explanations for Real-World Visual Data. CVPR (2023)
Souhaib Attaiki, Maks Ovsjanikov
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching. CoRR (2023)
Ahmed Abdelreheem, Ivan Skorokhodov, Maks Ovsjanikov, Peter Wonka
SATR: Zero-Shot Semantic Segmentation of 3D Shapes. ICCV (2023)
Souhaib Attaiki, Lei Li, Maks Ovsjanikov
Generalizable Local Feature Pre-training for Deformable Shape Analysis. CoRR (2023)
Mingze Sun, Shiwei Mao, Puhua Jiang, Maks Ovsjanikov, Ruqi Huang
Spatially and Spectrally Consistent Deep Functional Maps. ICCV (2023)
Souhaib Attaiki, Maks Ovsjanikov
Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction. NeurIPS (2023)
Ahmed Abdelreheem, Ivan Skorokhodov, Maks Ovsjanikov, Peter Wonka
SATR: Zero-Shot Semantic Segmentation of 3D Shapes. CoRR (2023)
Souhaib Attaiki, Lei Li, Maks Ovsjanikov
Generalizable Local Feature Pre-training for Deformable Shape Analysis. CVPR (2023)
Lei Li, Hongbo Fu, Maks Ovsjanikov
WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration. IEEE Trans. Vis. Comput. Graph. 29 (7) (2023)
Nissim Maruani, Roman Klokov, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun
VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams. CoRR (2023)
Sara Hahner, Souhaib Attaiki, Jochen Garcke, Maks Ovsjanikov
Unsupervised Representation Learning for Diverse Deformable Shape Collections. CoRR (2023)
Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov
TIDE: Time Derivative Diffusion for Deep Learning on Graphs. ICML (2023)
Mikhail Panine, Maxime Kirgo, Maks Ovsjanikov
Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted Bases. CoRR (2022)
Lei Li, Souhaib Attaiki, Maks Ovsjanikov
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence. 3DV (2022)
Lei Li, Nicolas Donati, Maks Ovsjanikov
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching. NeurIPS (2022)
Nicolas Donati, Etienne Corman, Simone Melzi, Maks Ovsjanikov
Complex Functional Maps: A Conformal Link Between Tangent Bundles. Comput. Graph. Forum 41 (1) (2022)
Maximilian Krahn, Maysam Behmanesh, Maks Ovsjanikov
TIDE: Time Derivative Diffusion for Deep Learning on Graphs. CoRR (2022)
Adrien Poulenard, Maks Ovsjanikov, Leonidas J. Guibas
Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution. CoRR (2022)
Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov
DiffusionNet: Discretization Agnostic Learning on Surfaces. ACM Trans. Graph. 41 (3) (2022)
Lei Li, Nicolas Donati, Maks Ovsjanikov
Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching. CoRR (2022)
Robin Magnet, Jing Ren, Olga Sorkine-Hornung, Maks Ovsjanikov
Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization. CoRR (2022)
Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov
Affection: Learning Affective Explanations for Real-World Visual Data. CoRR (2022)
Ramana Sundararaman, Riccardo Marin, Emanuele Rodolà, Maks Ovsjanikov
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching. NeurIPS (2022)
Nicolas Donati, Etienne Corman, Maks Ovsjanikov
Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching. CoRR (2022)
Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov
Implicit field supervision for robust non-rigid shape matching. CoRR (2022)
Ramana Sundararaman, Riccardo Marin, Emanuele Rodolà, Maks Ovsjanikov
Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching. CoRR (2022)
Nicolas Donati, Etienne Corman, Maks Ovsjanikov
Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching. CVPR (2022)
Lei Li, Souhaib Attaiki, Maks Ovsjanikov
SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence. CoRR (2022)
Abhishek Sharma, Maks Ovsjanikov
Matrix Decomposition on Graphs: A Simplified Functional View. ICASSP (2022)
Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà
Learning Spectral Unions of Partial Deformable 3D Shapes. Comput. Graph. Forum 41 (2) (2022)
Mikhail Panine, Maxime Kirgo, Maks Ovsjanikov
Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted Bases. Comput. Graph. Forum 41 (6) (2022)
Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov
Implicit Field Supervision for Robust Non-rigid Shape Matching. ECCV (3) (2022)
Souhaib Attaiki, Maks Ovsjanikov
NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching. NeurIPS (2022)
Emanuele Rodolà, Luca Cosmo, Maks Ovsjanikov, Arianna Rampini, Simone Melzi, Michael M. Bronstein, Riccardo Marin
Inverse Computational Spectral Geometry. Eurographics (Tutorials) (2022)
Mariem Mezghanni, Théo Bodrito, Malika Boulkenafed, Maks Ovsjanikov
Physical Simulation Layer for Accurate 3D Modeling. CVPR (2022)
Robin Magnet, Jing Ren, Olga Sorkine-Hornung, Maks Ovsjanikov
Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization. 3DV (2022)
Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov, Paul Guerrero
Differentiable surface triangulation. ACM Trans. Graph. 40 (6) (2021)
Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas
ArtEmis: Affective Language for Visual Art. CVPR (2021)
Abhishek Sharma, Maks Ovsjanikov
Matrix Decomposition on Graphs: A Functional View. CoRR (2021)
Abhishek Sharma, Maks Ovsjanikov
Learning Canonical Embedding for Non-rigid Shape Matching. CoRR (2021)
Nicolas Donati, Etienne Corman, Simone Melzi, Maks Ovsjanikov
Complex Functional Maps : a Conformal Link Between Tangent Bundles. CoRR (2021)
Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
DPFM: Deep Partial Functional Maps. CoRR (2021)
Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà
Spectral Unions of Partial Deformable 3D Shapes. CoRR (2021)
Robin Magnet, Maks Ovsjanikov
DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds. ICCV (2021)
Mariem Mezghanni, Malika Boulkenafed, André Lieutier, Maks Ovsjanikov
Physically-Aware Generative Network for 3D Shape Modeling. CVPR (2021)
Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
DPFM: Deep Partial Functional Maps. 3DV (2021)
Jing Ren, Biao Zhang, Bojian Wu, Jianqiang Huang, Lubin Fan, Maks Ovsjanikov, Peter Wonka
Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis. CoRR (2021)
Jing Ren, Simone Melzi, Peter Wonka, Maks Ovsjanikov
Discrete Optimization for Shape Matching. Comput. Graph. Forum 40 (5) (2021)
Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. Comput. Graph. Forum 40 (1) (2021)
Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
Spectral Shape Recovery and Analysis Via Data-driven Connections. Int. J. Comput. Vis. 129 (10) (2021)
Jing Ren, Biao Zhang, Bojian Wu, Jianqiang Huang, Lubin Fan, Maks Ovsjanikov, Peter Wonka
Intuitive and efficient roof modeling for reconstruction and synthesis. ACM Trans. Graph. 40 (6) (2021)
Abhishek Sharma, Maks Ovsjanikov
Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud. CoRR (2021)
Gautam Pai, Jing Ren, Simone Melzi, Peter Wonka, Maks Ovsjanikov
Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps. CVPR (2021)
Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas
ArtEmis: Affective Language for Visual Art. CoRR (2021)
Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov
Learning Delaunay Surface Elements for Mesh Reconstruction. CVPR (2021)
Riccardo Marin, Souhaib Attaiki, Simone Melzi, Emanuele Rodolà, Maks Ovsjanikov
Why you should learn functional basis. CoRR (2021)
Lei Li, Hongbo Fu, Maks Ovsjanikov
UPDesc: Unsupervised Point Descriptor Learning for Robust Registration. CoRR (2021)
Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov, Paul Guerrero
Differentiable Surface Triangulation. CoRR (2021)
Marie-Julie Rakotosaona, Maks Ovsjanikov
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. ECCV (2) (2020)
Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
Instant recovery of shape from spectrum via latent space connections. 3DV (2020)
Thibault Lescoat, Hsueh-Ti Derek Liu, Jean-Marc Thiery, Alec Jacobson, Tamy Boubekeur, Maks Ovsjanikov
Spectral Mesh Simplification. Comput. Graph. Forum 39 (2) (2020)
Abhishek Sharma, Maks Ovsjanikov
Weakly Supervised Deep Functional Maps for Shape Matching. NeurIPS (2020)
Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks Ovsjanikov
Correspondence Learning via Linearly-invariant Embedding. CoRR (2020)
Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov
Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. CoRR (2020)
Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov
Learning Delaunay Surface Elements for Mesh Reconstruction. CoRR (2020)
Abhishek Sharma, Maks Ovsjanikov
Geometric Matrix Completion: A Functional View. CoRR (2020)
Nicholas Sharp, Maks Ovsjanikov
PointTriNet: Learned Triangulation of 3D Point Sets. ECCV (23) (2020)
Nicholas Sharp, Maks Ovsjanikov
PointTriNet: Learned Triangulation of 3D Point Sets. CoRR (2020)
Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
Instant recovery of shape from spectrum via latent space connections. CoRR (2020)
Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov
Diffusion is All You Need for Learning on Surfaces. CoRR (2020)
Marie-Julie Rakotosaona, Maks Ovsjanikov
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. CoRR (2020)
Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence. CVPR (2020)
Jing Ren, Simone Melzi, Maks Ovsjanikov, Peter Wonka
MapTree: recovering multiple solutions in the space of maps. ACM Trans. Graph. 39 (6) (2020)
Ruqi Huang, Jing Ren, Peter Wonka, Maks Ovsjanikov
Consistent ZoomOut: Efficient Spectral Map Synchronization. Comput. Graph. Forum 39 (5) (2020)
Abhishek Sharma, Maks Ovsjanikov
Weakly Supervised Deep Functional Map for Shape Matching. CoRR (2020)
Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov
Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence. CoRR (2020)
Jing Ren, Simone Melzi, Maks Ovsjanikov, Peter Wonka
MapTree: Recovering Multiple Solutions in the Space of Maps. CoRR (2020)
Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks Ovsjanikov
Correspondence learning via linearly-invariant embedding. NeurIPS (2020)
Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J. Mitra, Maks Ovsjanikov
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds. Comput. Graph. Forum 39 (1) (2020)
Jing Ren, Mikhail Panine, Peter Wonka, Maks Ovsjanikov
Structured Regularization of Functional Map Computations. CoRR (2020)
Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà
Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. 3DV (2019)

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Publication Activity (10 Years)

Top Topics

Top Venues

Maks Ovsjanikov