Maks Ovsjanikov

224 papers A* 36A 1B 2Misc 2Journal 146Unranked 34

Year	Rank	Type	Title / Venue / Authors
2026	J	`jnl`	A Mixed Diet Makes DINO An Omnivorous Vision Encoder. CoRR Rishabh Kabra, Maks Ovsjanikov, Drew A. Hudson, Ye Xia, Skanda Koppula, Andre Araujo, João Carreira, Niloy J. Mitra
2026	J	`jnl`	Beyond ReLU: Bifurcation, Oversmoothing, and Topological Priors. CoRR Erkan Turan, Gaspard Abel, Maysam Behmanesh, Emery Pierson, Maks Ovsjanikov
2026	J	`jnl`	Generative Drifting is Secretly Score Matching: a Spectral and Variational Perspective. CoRR Erkan Turan, Maks Ovsjanikov
2026	J	`jnl`	PatchAlign3D: Local Feature Alignment for Dense 3D Shape understanding. CoRR Souhail Hadgi, Bingchen Gong, Ramana Sundararaman, Emery Pierson, Lei Li, Peter Wonka, Maks Ovsjanikov
2026	J	`jnl`	SceneTeract: Agentic Functional Affordances and VLM Grounding in 3D Scenes. CoRR Léopold Maillard, Francis Engelmann, Tom Durand, Boxiao Pan, Yang You, Or Litany, Leonidas J. Guibas, Maks Ovsjanikov
2025	A*	`conf`	AtomSurf: Surface Representation for Learning on Protein Structures. ICLR Vincent Mallet, Yangyang Miao, Souhaib Attaiki, Bruno Correia, Maks Ovsjanikov
2025	J	`jnl`	DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-rigid Shape Matching. CoRR Emery Pierson, Lei Li, Angela Dai, Maks Ovsjanikov
2025	J	`jnl`	Dynamic Reflections: Probing Video Representations with Text Alignment. CoRR Tyler Zhu, Tengda Han, Leonidas J. Guibas, Viorica Patraucean, Maks Ovsjanikov
2025	A*	`conf`	Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces. CVPR Souhail Hadgi, Luca Moschella, Andrea Santilli, Diego Gomez, Qixing Huang, Emanuele Rodolà, Simone Melzi, Maks Ovsjanikov
2025	J	`jnl`	Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces. CoRR Souhail Hadgi, Luca Moschella, Andrea Santilli, Diego Gomez, Qixing Huang, Emanuele Rodolà, Simone Melzi, Maks Ovsjanikov
2025	J	`jnl`	Finding antibodies in cryo-EM maps with <tt>CrAI</tt>. Bioinform. Vincent Mallet, Chiara Rapisarda, Hervé Minoux, Maks Ovsjanikov
2025	—	`conf`	FourieRF: Few-Shot NeRFs via Progressive Fourier Frequency Control. 3DV Diego Gomez, Bingchen Gong, Maks Ovsjanikov
2025	J	`jnl`	FourieRF: Few-Shot NeRFs via Progressive Fourier Frequency Control. CoRR Diego Gomez, Bingchen Gong, Maks Ovsjanikov
2025	A	`conf`	GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space. WACV Souhaib Attaiki, Paul Guerrero, Duygu Ceylan, Niloy J. Mitra, Maks Ovsjanikov
2025	J	`jnl`	Generalist Forecasting with Frozen Video Models via Latent Diffusion. CoRR Jacob C. Walker, Pedro Vélez, Luisa Polania Cabrera, Guangyao Zhou, Rishabh Kabra, Carl Doersch, Maks Ovsjanikov, João Carreira, Shiry Ginosar
2025	J	`jnl`	Graph Alignment via Dual-Pass Spectral Encoding and Latent Space Communication. CoRR Maysam Behmanesh, Erkan Turan, Maks Ovsjanikov
2025	J	`jnl`	LACONIC: A 3D Layout Adapter for Controllable Image Creation. CoRR Léopold Maillard, Tom Durand, Adrien Ramanana Rahary, Maks Ovsjanikov
2025	J	`jnl`	MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction. CoRR Antoine Guédon, Diego Gomez, Nissim Maruani, Bingchen Gong, George Drettakis, Maks Ovsjanikov
2025	J	`jnl`	MILo: Mesh-In-the-Loop Gaussian Splatting for Detailed and Efficient Surface Reconstruction. ACM Trans. Graph. Antoine Guédon, Diego Gomez, Nissim Maruani, Bingchen Gong, George Drettakis, Maks Ovsjanikov
2025	J	`jnl`	NAM: Neural Adjoint Maps for refining shape correspondences. ACM Trans. Graph. Giulio Viganò, Maks Ovsjanikov, Simone Melzi
2025	J	`jnl`	SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications. CoRR Yana Hasson, Pauline Luc, Liliane Momeni, Maks Ovsjanikov, Guillaume Le Moing, Alina Kuznetsova, Ira Ktena, Jennifer J. Sun, Skanda Koppula, Dilara Gokay, Joseph Heyward, Etienne Pot, Andrew Zisserman
2025	J	`jnl`	Unfolding Generative Flows with Koopman Operators: Fast and Interpretable Sampling. CoRR Erkan Turan, Aristotelis Siozopoulos, Maks Ovsjanikov
2025	J	`jnl`	Unified Brain Surface and Volume Registration. CoRR S. Mazdak Abulnaga, Andrew Hoopes, Malte Hoffmann, Robin Magnet, Maks Ovsjanikov, Lilla Zöllei, John V. Guttag, Bruce Fischl, Adrian V. Dalca
2025	J	`jnl`	Unique Lives, Shared World: Learning from Single-Life Videos. CoRR Tengda Han, Sayna Ebrahimi, Dilara Gokay, Li Yang Ku, Maks Ovsjanikov, Iva Babukova, Daniel Zoran, Viorica Patraucean, João Carreira, Andrew Zisserman, Dima Damen
2024	A*	`conf`	Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features. CVPR Thomas Wimmer, Peter Wonka, Maks Ovsjanikov
2024	A*	`conf`	DeBaRA: Denoising-Based 3D Room Arrangement Generation. NeurIPS Léopold Maillard, Nicolas Sereyjol-Garros, Tom Durand, Maks Ovsjanikov
2024	J	`jnl`	DeBaRA: Denoising-Based 3D Room Arrangement Generation. CoRR Léopold Maillard, Nicolas Sereyjol-Garros, Tom Durand, Maks Ovsjanikov
2024	J	`jnl`	Deformation Recovery: Localized Learning for Detail-Preserving Deformations. CoRR Ramana Sundararaman, Nicolas Donati, Simone Melzi, Etienne Corman, Maks Ovsjanikov
2024	J	`jnl`	Deformation Recovery: Localized Learning for Detail-Preserving Deformations. ACM Trans. Graph. Ramana Sundararaman, Nicolas Donati, Simone Melzi, Etienne Corman, Maks Ovsjanikov
2024	J	`jnl`	Fine-tuning 3D foundation models for geometric object retrieval. Comput. Graph. Jarne Van den Herrewegen, Tom Tourwé, Maks Ovsjanikov, Francis Wyffels
2024	J	`jnl`	GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space. CoRR Souhaib Attaiki, Paul Guerrero, Duygu Ceylan, Niloy J. Mitra, Maks Ovsjanikov
2024	A*	`conf`	Memory-Scalable and Simplified Functional Map Learning. CVPR Robin Magnet, Maks Ovsjanikov
2024	J	`jnl`	Memory-Scalable and Simplified Functional Map Learning. CoRR Robin Magnet, Maks Ovsjanikov
2024	A*	`conf`	PoNQ: A Neural QEM-Based Mesh Representation. CVPR Nissim Maruani, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun
2024	J	`jnl`	PoNQ: a Neural QEM-based Mesh Representation. CoRR Nissim Maruani, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun
2024	—	`conf`	RIVQ-VAE: Discrete Rotation-Invariant 3D Representation Learning. 3DV Mariem Mezghanni, Malika Boulkenafed, Maks Ovsjanikov
2024	A*	`conf`	Self-Supervised Dual Contouring. CVPR Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov
2024	J	`jnl`	Self-Supervised Dual Contouring. CoRR Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov
2024	J	`jnl`	Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction. CoRR Souhaib Attaiki, Maks Ovsjanikov
2024	—	`conf`	Smoothed Graph Contrastive Learning via Seamless Proximity Integration. LoG Maysam Behmanesh, Maks Ovsjanikov
2024	J	`jnl`	Smoothed Graph Contrastive Learning via Seamless Proximity Integration. CoRR Maysam Behmanesh, Maks Ovsjanikov
2024	J	`jnl`	To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning. CoRR Souhail Hadgi, Lei Li, Maks Ovsjanikov
2024	—	`conf`	To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning. ECCV (78) Souhail Hadgi, Lei Li, Maks Ovsjanikov
2024	—	`conf`	Unsupervised Representation Learning for Diverse Deformable Shape Collections. 3DV Sara Hahner, Souhaib Attaiki, Jochen Garcke, Maks Ovsjanikov
2024	J	`jnl`	ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models. CoRR Bingchen Gong, Diego Gomez, Abdullah Hamdi, Abdelrahman Eldesokey, Ahmed Abdelreheem, Peter Wonka, Maks Ovsjanikov
2023	A*	`conf`	Affection: Learning Affective Explanations for Real-World Visual Data. CVPR Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov
2023	J	`jnl`	AtomSurf : Surface Representation for Learning on Protein Structures. CoRR Vincent Mallet, Souhaib Attaiki, Maks Ovsjanikov
2023	J	`jnl`	Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features. CoRR Thomas Wimmer, Peter Wonka, Maks Ovsjanikov
2023	A*	`conf`	Generalizable Local Feature Pre-training for Deformable Shape Analysis. CVPR Souhaib Attaiki, Lei Li, Maks Ovsjanikov
2023	J	`jnl`	Generalizable Local Feature Pre-training for Deformable Shape Analysis. CoRR Souhaib Attaiki, Lei Li, Maks Ovsjanikov
2023	J	`jnl`	NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching. CoRR Souhaib Attaiki, Maks Ovsjanikov
2023	A*	`conf`	SATR: Zero-Shot Semantic Segmentation of 3D Shapes. ICCV Ahmed Abdelreheem, Ivan Skorokhodov, Maks Ovsjanikov, Peter Wonka
2023	J	`jnl`	SATR: Zero-Shot Semantic Segmentation of 3D Shapes. CoRR Ahmed Abdelreheem, Ivan Skorokhodov, Maks Ovsjanikov, Peter Wonka
2023	J	`jnl`	Scalable and Efficient Functional Map Computations on Dense Meshes. Comput. Graph. Forum Robin Magnet, Maks Ovsjanikov
2023	J	`jnl`	Scalable and Efficient Functional Map Computations on Dense Meshes. CoRR Robin Magnet, Maks Ovsjanikov
2023	A*	`conf`	Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction. NeurIPS Souhaib Attaiki, Maks Ovsjanikov
2023	A*	`conf`	Spatially and Spectrally Consistent Deep Functional Maps. ICCV Mingze Sun, Shiwei Mao, Puhua Jiang, Maks Ovsjanikov, Ruqi Huang
2023	J	`jnl`	Spatially and Spectrally Consistent Deep Functional Maps. CoRR Mingze Sun, Shiwei Mao, Puhua Jiang, Maks Ovsjanikov, Ruqi Huang
2023	A*	`conf`	TIDE: Time Derivative Diffusion for Deep Learning on Graphs. ICML Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov
2023	A*	`conf`	Understanding and Improving Features Learned in Deep Functional Maps. CVPR Souhaib Attaiki, Maks Ovsjanikov
2023	J	`jnl`	Understanding and Improving Features Learned in Deep Functional Maps. CoRR Souhaib Attaiki, Maks Ovsjanikov
2023	J	`jnl`	Unsupervised Representation Learning for Diverse Deformable Shape Collections. CoRR Sara Hahner, Souhaib Attaiki, Jochen Garcke, Maks Ovsjanikov
2023	A*	`conf`	VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams. ICCV Nissim Maruani, Roman Klokov, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun
2023	J	`jnl`	VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams. CoRR Nissim Maruani, Roman Klokov, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun
2023	J	`jnl`	WSDesc: Weakly Supervised 3D Local Descriptor Learning for Point Cloud Registration. IEEE Trans. Vis. Comput. Graph. Lei Li, Hongbo Fu, Maks Ovsjanikov
2023	A*	`conf`	Zero-Shot 3D Shape Correspondence. SIGGRAPH Asia Ahmed Abdelreheem, Abdelrahman Eldesokey, Maks Ovsjanikov, Peter Wonka
2023	J	`jnl`	Zero-Shot 3D Shape Correspondence. CoRR Ahmed Abdelreheem, Abdelrahman Eldesokey, Maks Ovsjanikov, Peter Wonka
2022	J	`jnl`	Affection: Learning Affective Explanations for Real-World Visual Data. CoRR Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov
2022	J	`jnl`	Complex Functional Maps: A Conformal Link Between Tangent Bundles. Comput. Graph. Forum Nicolas Donati, Etienne Corman, Simone Melzi, Maks Ovsjanikov
2022	J	`jnl`	Deep Orientation-Aware Functional Maps: Tackling Symmetry Issues in Shape Matching. CoRR Nicolas Donati, Etienne Corman, Maks Ovsjanikov
2022	A*	`conf`	Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching. CVPR Nicolas Donati, Etienne Corman, Maks Ovsjanikov
2022	J	`jnl`	DiffusionNet: Discretization Agnostic Learning on Surfaces. ACM Trans. Graph. Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov
2022	J	`jnl`	Equivalence Between SE(3) Equivariant Networks via Steerable Kernels and Group Convolution. CoRR Adrien Poulenard, Maks Ovsjanikov, Leonidas J. Guibas
2022	—	`conf`	Implicit Field Supervision for Robust Non-rigid Shape Matching. ECCV (3) Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov
2022	J	`jnl`	Implicit field supervision for robust non-rigid shape matching. CoRR Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov
2022	—	`conf`	Inverse Computational Spectral Geometry. Eurographics (Tutorials) Emanuele Rodolà, Luca Cosmo, Maks Ovsjanikov, Arianna Rampini, Simone Melzi, Michael M. Bronstein, Riccardo Marin
2022	A*	`conf`	Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching. NeurIPS Lei Li, Nicolas Donati, Maks Ovsjanikov
2022	J	`jnl`	Learning Multi-resolution Functional Maps with Spectral Attention for Robust Shape Matching. CoRR Lei Li, Nicolas Donati, Maks Ovsjanikov
2022	J	`jnl`	Learning Spectral Unions of Partial Deformable 3D Shapes. Comput. Graph. Forum Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà
2022	Misc	`conf`	Matrix Decomposition on Graphs: A Simplified Functional View. ICASSP Abhishek Sharma, Maks Ovsjanikov
2022	A*	`conf`	NCP: Neural Correspondence Prior for Effective Unsupervised Shape Matching. NeurIPS Souhaib Attaiki, Maks Ovsjanikov
2022	J	`jnl`	Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted Bases. Comput. Graph. Forum Mikhail Panine, Maxime Kirgo, Maks Ovsjanikov
2022	J	`jnl`	Non-Isometric Shape Matching via Functional Maps on Landmark-Adapted Bases. CoRR Mikhail Panine, Maxime Kirgo, Maks Ovsjanikov
2022	A*	`conf`	Physical Simulation Layer for Accurate 3D Modeling. CVPR Mariem Mezghanni, Théo Bodrito, Malika Boulkenafed, Maks Ovsjanikov
2022	A*	`conf`	Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching. NeurIPS Ramana Sundararaman, Riccardo Marin, Emanuele Rodolà, Maks Ovsjanikov
2022	J	`jnl`	Reduced Representation of Deformation Fields for Effective Non-rigid Shape Matching. CoRR Ramana Sundararaman, Riccardo Marin, Emanuele Rodolà, Maks Ovsjanikov
2022	—	`conf`	SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence. 3DV Lei Li, Souhaib Attaiki, Maks Ovsjanikov
2022	J	`jnl`	SRFeat: Learning Locally Accurate and Globally Consistent Non-Rigid Shape Correspondence. CoRR Lei Li, Souhaib Attaiki, Maks Ovsjanikov
2022	—	`conf`	Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization. 3DV Robin Magnet, Jing Ren, Olga Sorkine-Hornung, Maks Ovsjanikov
2022	J	`jnl`	Smooth Non-Rigid Shape Matching via Effective Dirichlet Energy Optimization. CoRR Robin Magnet, Jing Ren, Olga Sorkine-Hornung, Maks Ovsjanikov
2022	J	`jnl`	TIDE: Time Derivative Diffusion for Deep Learning on Graphs. CoRR Maximilian Krahn, Maysam Behmanesh, Maks Ovsjanikov
2021	A*	`conf`	ArtEmis: Affective Language for Visual Art. CVPR Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas
2021	J	`jnl`	ArtEmis: Affective Language for Visual Art. CoRR Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas
2021	J	`jnl`	Complex Functional Maps : a Conformal Link Between Tangent Bundles. CoRR Nicolas Donati, Etienne Corman, Simone Melzi, Maks Ovsjanikov
2021	—	`conf`	DPFM: Deep Partial Functional Maps. 3DV Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
2021	J	`jnl`	DPFM: Deep Partial Functional Maps. CoRR Souhaib Attaiki, Gautam Pai, Maks Ovsjanikov
2021	A*	`conf`	DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds. ICCV Robin Magnet, Maks Ovsjanikov
2021	J	`jnl`	Differentiable Surface Triangulation. CoRR Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov, Paul Guerrero
2021	J	`jnl`	Differentiable surface triangulation. ACM Trans. Graph. Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov, Paul Guerrero
2021	J	`jnl`	Discrete Optimization for Shape Matching. Comput. Graph. Forum Jing Ren, Simone Melzi, Peter Wonka, Maks Ovsjanikov
2021	A*	`conf`	Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps. CVPR Gautam Pai, Jing Ren, Simone Melzi, Peter Wonka, Maks Ovsjanikov
2021	J	`jnl`	Intuitive and Efficient Roof Modeling for Reconstruction and Synthesis. CoRR Jing Ren, Biao Zhang, Bojian Wu, Jianqiang Huang, Lubin Fan, Maks Ovsjanikov, Peter Wonka
2021	J	`jnl`	Intuitive and efficient roof modeling for reconstruction and synthesis. ACM Trans. Graph. Jing Ren, Biao Zhang, Bojian Wu, Jianqiang Huang, Lubin Fan, Maks Ovsjanikov, Peter Wonka
2021	J	`jnl`	Joint Symmetry Detection and Shape Matching for Non-Rigid Point Cloud. CoRR Abhishek Sharma, Maks Ovsjanikov
2021	J	`jnl`	Learning Canonical Embedding for Non-rigid Shape Matching. CoRR Abhishek Sharma, Maks Ovsjanikov
2021	A*	`conf`	Learning Delaunay Surface Elements for Mesh Reconstruction. CVPR Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov
2021	J	`jnl`	Matrix Decomposition on Graphs: A Functional View. CoRR Abhishek Sharma, Maks Ovsjanikov
2021	A*	`conf`	Physically-Aware Generative Network for 3D Shape Modeling. CVPR Mariem Mezghanni, Malika Boulkenafed, André Lieutier, Maks Ovsjanikov
2021	J	`jnl`	Spectral Shape Recovery and Analysis Via Data-driven Connections. Int. J. Comput. Vis. Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
2021	J	`jnl`	Spectral Unions of Partial Deformable 3D Shapes. CoRR Luca Moschella, Simone Melzi, Luca Cosmo, Filippo Maggioli, Or Litany, Maks Ovsjanikov, Leonidas J. Guibas, Emanuele Rodolà
2021	J	`jnl`	UPDesc: Unsupervised Point Descriptor Learning for Robust Registration. CoRR Lei Li, Hongbo Fu, Maks Ovsjanikov
2021	J	`jnl`	Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. Comput. Graph. Forum Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov
2021	J	`jnl`	Why you should learn functional basis. CoRR Riccardo Marin, Souhaib Attaiki, Simone Melzi, Emanuele Rodolà, Maks Ovsjanikov
2020	J	`jnl`	Consistent ZoomOut: Efficient Spectral Map Synchronization. Comput. Graph. Forum Ruqi Huang, Jing Ren, Peter Wonka, Maks Ovsjanikov
2020	J	`jnl`	Correspondence Learning via Linearly-invariant Embedding. CoRR Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks Ovsjanikov
2020	A*	`conf`	Correspondence learning via linearly-invariant embedding. NeurIPS Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks Ovsjanikov
2020	A*	`conf`	Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence. CVPR Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov
2020	J	`jnl`	Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence. CoRR Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov
2020	J	`jnl`	Diffusion is All You Need for Learning on Surfaces. CoRR Nicholas Sharp, Souhaib Attaiki, Keenan Crane, Maks Ovsjanikov
2020	J	`jnl`	Geometric Matrix Completion: A Functional View. CoRR Abhishek Sharma, Maks Ovsjanikov
2020	—	`conf`	Instant recovery of shape from spectrum via latent space connections. 3DV Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
2020	J	`jnl`	Instant recovery of shape from spectrum via latent space connections. CoRR Riccardo Marin, Arianna Rampini, Umberto Castellani, Emanuele Rodolà, Maks Ovsjanikov, Simone Melzi
2020	—	`conf`	Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. ECCV (2) Marie-Julie Rakotosaona, Maks Ovsjanikov
2020	J	`jnl`	Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. CoRR Marie-Julie Rakotosaona, Maks Ovsjanikov
2020	J	`jnl`	Learning Delaunay Surface Elements for Mesh Reconstruction. CoRR Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov
2020	J	`jnl`	MapTree: Recovering Multiple Solutions in the Space of Maps. CoRR Jing Ren, Simone Melzi, Maks Ovsjanikov, Peter Wonka
2020	J	`jnl`	MapTree: recovering multiple solutions in the space of maps. ACM Trans. Graph. Jing Ren, Simone Melzi, Maks Ovsjanikov, Peter Wonka
2020	J	`jnl`	PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds. Comput. Graph. Forum Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J. Mitra, Maks Ovsjanikov
2020	—	`conf`	PointTriNet: Learned Triangulation of 3D Point Sets. ECCV (23) Nicholas Sharp, Maks Ovsjanikov
2020	J	`jnl`	PointTriNet: Learned Triangulation of 3D Point Sets. CoRR Nicholas Sharp, Maks Ovsjanikov
2020	J	`jnl`	Spectral Mesh Simplification. Comput. Graph. Forum Thibault Lescoat, Hsueh-Ti Derek Liu, Jean-Marc Thiery, Alec Jacobson, Tamy Boubekeur, Maks Ovsjanikov
2020	J	`jnl`	Structured Regularization of Functional Map Computations. CoRR Jing Ren, Mikhail Panine, Peter Wonka, Maks Ovsjanikov
2020	J	`jnl`	Wavelet-based Heat Kernel Derivatives: Towards Informative Localized Shape Analysis. CoRR Maxime Kirgo, Simone Melzi, Giuseppe Patanè, Emanuele Rodolà, Maks Ovsjanikov
2020	J	`jnl`	Weakly Supervised Deep Functional Map for Shape Matching. CoRR Abhishek Sharma, Maks Ovsjanikov
2020	A*	`conf`	Weakly Supervised Deep Functional Maps for Shape Matching. NeurIPS Abhishek Sharma, Maks Ovsjanikov
2019	—	`conf`	Connectivity-preserving Smooth Surface Filling with Sharp Features. PG (Short Papers) Thibault Lescoat, Pooran Memari, Jean-Marc Thiery, Maks Ovsjanikov, Tamy Boubekeur
2019	—	`conf`	Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. 3DV Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà
2019	J	`jnl`	Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment. CoRR Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alexander M. Bronstein, Emanuele Rodolà
2019	—	`conf`	Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels. 3DV Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov
2019	J	`jnl`	Effective Rotation-invariant Point CNN with Spherical Harmonics kernels. CoRR Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov
2019	J	`jnl`	Functional Characterization of Deformation Fields. ACM Trans. Graph. Etienne Corman, Maks Ovsjanikov
2019	A*	`conf`	Isospectralization, or How to Hear Shape, Style, and Correspondence. CVPR Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
2019	J	`jnl`	Limit Shapes - A Tool for Understanding Shape Differences and Variability in 3D Model Collections. Comput. Graph. Forum Ruqi Huang, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov
2019	—	`conf`	Matching Humans with Different Connectivity. 3DOR@Eurographics Simone Melzi, Riccardo Marin, Emanuele Rodolà, Umberto Castellani, Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov
2019	A*	`conf`	OperatorNet: Recovering 3D Shapes From Difference Operators. ICCV Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov
2019	J	`jnl`	OperatorNet: Recovering 3D Shapes From Difference Operators. CoRR Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov
2019	J	`jnl`	POINTCLEANNET: Learning to Denoise and Remove Outliers from Dense Point Clouds. CoRR Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J. Mitra, Maks Ovsjanikov
2019	J	`jnl`	Robust Structure-Based Shape Correspondence. Comput. Graph. Forum Yanir Kleiman, Maks Ovsjanikov
2019	J	`jnl`	Spectral Coarsening of Geometric Operators. CoRR Hsueh-Ti Derek Liu, Alec Jacobson, Maks Ovsjanikov
2019	J	`jnl`	Spectral coarsening of geometric operators. ACM Trans. Graph. Hsueh-Ti Derek Liu, Alec Jacobson, Maks Ovsjanikov
2019	J	`jnl`	Structured Regularization of Functional Map Computations. Comput. Graph. Forum Jing Ren, Mikhail Panine, Peter Wonka, Maks Ovsjanikov
2019	A*	`conf`	Unsupervised Deep Learning for Structured Shape Matching. ICCV Jean-Michel Roufosse, Abhishek Sharma, Maks Ovsjanikov
2019	J	`jnl`	ZoomOut: Spectral Upsampling for Efficient Shape Correspondence. CoRR Simone Melzi, Jing Ren, Emanuele Rodolà, Peter Wonka, Maks Ovsjanikov
2019	J	`jnl`	ZoomOut: spectral upsampling for efficient shape correspondence. ACM Trans. Graph. Simone Melzi, Jing Ren, Emanuele Rodolà, Abhishek Sharma, Peter Wonka, Maks Ovsjanikov
2018	J	`jnl`	A Survey on Data-driven Dictionary-based Methods for 3D Modeling. Comput. Graph. Forum Thibault Lescoat, Maks Ovsjanikov, Pooran Memari, Jean-Marc Thiery, Tamy Boubekeur
2018	J	`jnl`	Continuous and Orientation-preserving Correspondences via Functional Maps. CoRR Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov
2018	J	`jnl`	Continuous and orientation-preserving correspondences via functional maps. ACM Trans. Graph. Jing Ren, Adrien Poulenard, Peter Wonka, Maks Ovsjanikov
2018	J	`jnl`	Discrete Time Evolution Process Descriptor for Shape Analysis and Matching. ACM Trans. Graph. Simone Melzi, Maks Ovsjanikov, Giorgio Roffo, Marco Cristani, Umberto Castellani
2018	J	`jnl`	Foreword to the Special Section on Eurographics Workshop on 3D Object Retrieval 2017. Comput. Graph. Guillaume Lavoué, Ioannis Pratikakis, Florent Dupont, Maks Ovsjanikov, Michela Spagnuolo
2018	J	`jnl`	Improved Functional Mappings via Product Preservation. Comput. Graph. Forum Dorian Nogneng, Simone Melzi, Emanuele Rodolà, Umberto Castellani, Michael M. Bronstein, Maks Ovsjanikov
2018	J	`jnl`	Isospectralization, or how to hear shape, style, and correspondence. CoRR Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodolà
2018	J	`jnl`	Joint Graph Layouts for Visualizing Collections of Segmented Meshes. IEEE Trans. Vis. Comput. Graph. Jing Ren, Jens Schneider, Maks Ovsjanikov, Peter Wonka
2018	J	`jnl`	Latent Space Representation for Shape Analysis and Learning. CoRR Ruqi Huang, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov
2018	J	`jnl`	Multi-directional Geodesic Neural Networks via Equivariant Convolution. CoRR Adrien Poulenard, Maks Ovsjanikov
2018	J	`jnl`	Multi-directional geodesic neural networks via equivariant convolution. ACM Trans. Graph. Adrien Poulenard, Maks Ovsjanikov
2018	J	`jnl`	On the Stability of Functional Maps and Shape Difference Operators. Comput. Graph. Forum Ruqi Huang, Frédéric Chazal, Maks Ovsjanikov
2018	J	`jnl`	PCPNet Learning Local Shape Properties from Raw Point Clouds. Comput. Graph. Forum Paul Guerrero, Yanir Kleiman, Maks Ovsjanikov, Niloy J. Mitra
2018	—	`conf`	Spectral Measures of Distortion for Change Detection in Dynamic Graphs. COMPLEX NETWORKS (2) Luca Castelli Aleardi, Semih Salihoglu, Gurprit Singh, Maks Ovsjanikov
2018	J	`jnl`	Topological Function Optimization for Continuous Shape Matching. Comput. Graph. Forum Adrien Poulenard, Primoz Skraba, Maks Ovsjanikov
2018	J	`jnl`	Unsupervised Deep Learning for Structured Shape Matching. CoRR Jean-Michel Roufosse, Maks Ovsjanikov
2017	—	`ed.`	10th Eurographics Workshop on 3D Object Retrieval, 3DOR@Eurographics 2017, Lyon, France, April 23-24, 2017 3DOR@Eurographics Ioannis Pratikakis, Florent Dupont, Maks Ovsjanikov
2017	J	`jnl`	Adjoint Map Representation for Shape Analysis and Matching. Comput. Graph. Forum Ruqi Huang, Maks Ovsjanikov
2017	—	`conf`	Computing and processing correspondences with functional maps. SIGGRAPH Courses Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein
2017	J	`jnl`	Consistent functional cross field design for mesh quadrangulation. ACM Trans. Graph. Omri Azencot, Etienne Corman, Mirela Ben-Chen, Maks Ovsjanikov
2017	J	`jnl`	Functional Characterization of Deformation Fields. CoRR Etienne Corman, Maks Ovsjanikov
2017	J	`jnl`	Functional Characterization of Intrinsic and Extrinsic Geometry. ACM Trans. Graph. Etienne Corman, Justin Solomon, Mirela Ben-Chen, Leonidas J. Guibas, Maks Ovsjanikov
2017	—	`book`	Functional View of Geometry Processing: Operator-based Techniques for Shape Analysis. Maks Ovsjanikov
2017	J	`jnl`	Functoriality in Geometric Data (Dagstuhl Seminar 17021). Dagstuhl Reports Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas, Maks Ovsjanikov
2017	J	`jnl`	Informative Descriptor Preservation via Commutativity for Shape Matching. Comput. Graph. Forum Dorian Nogneng, Maks Ovsjanikov
2017	J	`jnl`	PCPNET: Learning Local Shape Properties from Raw Point Clouds. CoRR Paul Guerrero, Yanir Kleiman, Maks Ovsjanikov, Niloy J. Mitra
2017	A*	`conf`	Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering. ICCV Matteo Denitto, Simone Melzi, Manuele Bicego, Umberto Castellani, Alessandro Farinelli, Mário A. T. Figueiredo, Yanir Kleiman, Maks Ovsjanikov
2017	J	`jnl`	Robust Structure-based Shape Correspondence. CoRR Yanir Kleiman, Maks Ovsjanikov
2016	—	`conf`	3D Sketch-Based 3D Shape Retrieval. 3DOR@Eurographics Bo Li, Yijuan Lu, Fuqing Duan, Shuilong Dong, Yachun Fan, Lu Qian, Hamid Laga, Haisheng Li, Yuxiang Li, Peng Liu, Maks Ovsjanikov, Hedi Tabia, Yuxiang Ye, Huanpu Yin, Ziyu Xue
2016	—	`conf`	Computing and processing correspondences with functional maps. SIGGRAPH ASIA Courses Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodolà, Mirela Ben-Chen, Leonidas J. Guibas, Frédéric Chazal, Alexander M. Bronstein
2016	—	`conf`	Persistence-Based Pooling for Shape Pose Recognition. CTIC Thomas Bonis, Maks Ovsjanikov, Steve Oudot, Frédéric Chazal
2016	—	`conf`	Scene Structure Inference through Scene Map Estimation. VMV Moos Hueting, Viorica Patraucean, Maks Ovsjanikov, Niloy J. Mitra
2016	J	`jnl`	Stable Region Correspondences Between Non-Isometric Shapes. Comput. Graph. Forum Vignesh Ganapathi-Subramanian, Boris Thibert, Maks Ovsjanikov, Leonidas J. Guibas
2015	Misc	`conf`	Affine invariant visual phrases for object instance recognition. MVA Viorica Patraucean, Maks Ovsjanikov
2015	J	`jnl`	Continuous Matching via Vector Field Flow. Comput. Graph. Forum Etienne Corman, Maks Ovsjanikov, Antonin Chambolle
2015	J	`jnl`	CrossLink: joint understanding of image and 3D model collections through shape and camera pose variations. ACM Trans. Graph. Moos Hueting, Maks Ovsjanikov, Niloy J. Mitra
2015	J	`jnl`	Discrete Derivatives of Vector Fields on Surfaces - An Operator Approach. ACM Trans. Graph. Omri Azencot, Maks Ovsjanikov, Frédéric Chazal, Mirela Ben-Chen
2015	B	`conf`	Efficient and Practical Tree Preconditioning for Solving Laplacian Systems. SEA Luca Castelli Aleardi, Alexandre Nolin, Maks Ovsjanikov
2015	J	`jnl`	Stable Topological Signatures for Points on 3D Shapes. Comput. Graph. Forum Mathieu Carrière, Steve Y. Oudot, Maks Ovsjanikov
2014	—	`conf`	Automatic Location of Landmarks used in Manual Anthropometry. 3DOR@Eurographics Andrea Giachetti, E. Mazzi, Francesco Piscitelli, Masaki Aono, A. Ben Hamza, Thomas Bonis, Peter Claes, Afzal Godil, Chunyuan Li, Maks Ovsjanikov, Viorica Patraucean, Chang Shu, J. Snyders, Paul Suetens, Atsushi Tatsuma, Dirk Vandermeulen, Stefanie Wuhrer, Pengcheng Xi
2014	J	`jnl`	Functional Fluids on Surfaces. Comput. Graph. Forum Omri Azencot, Steffen Weißmann, Maks Ovsjanikov, Max Wardetzky, Mirela Ben-Chen
2014	A*	`conf`	Persistence-Based Structural Recognition. CVPR Chunyuan Li, Maks Ovsjanikov, Frédéric Chazal
2014	—	`conf`	Supervised Descriptor Learning for Non-Rigid Shape Matching. ECCV Workshops (4) Etienne Corman, Maks Ovsjanikov, Antonin Chambolle
2014	A*	`conf`	Unsupervised Multi-class Joint Image Segmentation. CVPR Fan Wang, Qixing Huang, Maks Ovsjanikov, Leonidas J. Guibas
2013	J	`jnl`	An Operator Approach to Tangent Vector Field Processing. Comput. Graph. Forum Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Maks Ovsjanikov
2013	J	`jnl`	Analysis and Visualization of Maps Between Shapes. Comput. Graph. Forum Maks Ovsjanikov, Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas
2013	—	`conf`	Detection of Mirror-Symmetric Image Patches. CVPR Workshops Viorica Patraucean, Rafael Grompone von Gioi, Maks Ovsjanikov
2013	J	`jnl`	Map-based exploration of intrinsic shape differences and variability. ACM Trans. Graph. Raif M. Rustamov, Maks Ovsjanikov, Omri Azencot, Mirela Ben-Chen, Frédéric Chazal, Leonidas J. Guibas
2013	J	`jnl`	Shape Matching via Quotient Spaces. Comput. Graph. Forum Maks Ovsjanikov, Quentin Mérigot, Viorica Patraucean, Leonidas J. Guibas
2012	—	`ch.`	Feature-Based Methods in 3D Shape Analysis. 3D Imaging, Analysis and Applications Alexander M. Bronstein, Michael M. Bronstein, Maks Ovsjanikov
2012	J	`jnl`	Functional maps: a flexible representation of maps between shapes. ACM Trans. Graph. Maks Ovsjanikov, Mirela Ben-Chen, Justin Solomon, Adrian Butscher, Leonidas J. Guibas
2011	J	`jnl`	A Condition Number for Non-Rigid Shape Matching. Comput. Graph. Forum Maks Ovsjanikov, Qi-Xing Huang, Leonidas J. Guibas
2011	J	`jnl`	Exploration of continuous variability in collections of 3D shapes. ACM Trans. Graph. Maks Ovsjanikov, Wilmot Li, Leonidas J. Guibas, Niloy J. Mitra
2011	J	`jnl`	Shape google: Geometric words and expressions for invariant shape retrieval. ACM Trans. Graph. Alexander M. Bronstein, Michael M. Bronstein, Leonidas J. Guibas, Maks Ovsjanikov
2011	J	`jnl`	Voronoi-Based Curvature and Feature Estimation from Point Clouds. IEEE Trans. Vis. Comput. Graph. Quentin Mérigot, Maks Ovsjanikov, Leonidas J. Guibas
2010	A*	`conf`	Image webs: Computing and exploiting connectivity in image collections. CVPR Kyle Heath, Natasha Gelfand, Maks Ovsjanikov, Mridul Aanjaneya, Leonidas J. Guibas
2010	J	`jnl`	Meshless Shape and Motion Design for Multiple Deformable Objects. Comput. Graph. Forum Bart Adams, Martin Wicke, Maks Ovsjanikov, Michael Wand, Hans-Peter Seidel, Leonidas J. Guibas
2010	J	`jnl`	One Point Isometric Matching with the Heat Kernel. Comput. Graph. Forum Maks Ovsjanikov, Quentin Mérigot, Facundo Mémoli, Leonidas J. Guibas
2010	—	`conf`	Persistence-based segmentation of deformable shapes. CVPR Workshops Primoz Skraba, Maks Ovsjanikov, Frédéric Chazal, Leonidas J. Guibas
2010	—	`conf`	SHREC'10 Track: Correspondence Finding. 3DOR@Eurographics Alexander M. Bronstein, Michael M. Bronstein, Umberto Castellani, Anastasia Dubrovina, Leonidas J. Guibas, Radu Horaud, Ron Kimmel, David Knossow, Etienne von Lavante, Diana Mateus, Maks Ovsjanikov, Avinash Sharma
2010	—	`conf`	SHREC'10 Track: Feature Detection and Description. 3DOR@Eurographics Alexander M. Bronstein, Michael M. Bronstein, Benjamin Bustos, Umberto Castellani, Marco Cristani, Bianca Falcidieno, Leonidas J. Guibas, Iasonas Kokkinos, Vittorio Murino, Maks Ovsjanikov, Giuseppe Patanè, Ivan Sipiran, Michela Spagnuolo, Jian Sun
2010	—	`conf`	SHREC'10 Track: Robust Shape Retrieval. 3DOR@Eurographics Alexander M. Bronstein, Michael M. Bronstein, Umberto Castellani, Bianca Falcidieno, Andrea Fusiello, Afzal Godil, Leonidas J. Guibas, Iasonas Kokkinos, Zhouhui Lian, Maks Ovsjanikov, Giuseppe Patanè, Michela Spagnuolo, Roberto Toldo
2010	—	`conf`	Topic Modeling for Personalized Recommendation of Volatile Items. ECML/PKDD (2) Maks Ovsjanikov, Ye Chen
2009	J	`jnl`	A Concise and Provably Informative Multi-Scale Signature Based on Heat Diffusion. Comput. Graph. Forum Jian Sun, Maks Ovsjanikov, Leonidas J. Guibas
2009	J	`jnl`	Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data. ACM Trans. Graph. Michael Wand, Bart Adams, Maks Ovsjanikov, Alexander Berner, Martin Bokeloh, Philipp Jenke, Leonidas J. Guibas, Hans-Peter Seidel, Andreas Schilling
2009	—	`conf`	Robust Voronoi-based curvature and feature estimation. Symposium on Solid and Physical Modeling Quentin Mérigot, Maks Ovsjanikov, Leonidas J. Guibas
2009	—	`conf`	Shape Google: a computer vision approach to isometry invariant shape retrieval. ICCV Workshops Maks Ovsjanikov, Alexander M. Bronstein, Michael M. Bronstein, Leonidas J. Guibas
2008	J	`jnl`	Global Intrinsic Symmetries of Shapes. Comput. Graph. Forum Maks Ovsjanikov, Jian Sun, Leonidas J. Guibas
2008	—	`conf`	Meshless Modeling of Deformable Shapes and their Motion. Symposium on Computer Animation Bart Adams, Maks Ovsjanikov, Michael Wand, Hans-Peter Seidel, Leonidas J. Guibas
2007	B	`conf`	Dynamic geometry registration. Symposium on Geometry Processing Niloy J. Mitra, Simon Flöry, Maks Ovsjanikov, Natasha Gelfand, Leonidas J. Guibas, Helmut Pottmann