Maks Ovsjanikov
Publication record assembled from the DBLP archive of ranked conferences.
Papers indexed
48
Venues
13
Active years
2007–2025
Best venue rank
A*
Where they publish
Papers
48 indexed papers, newest first.
| Year | Venue | Title | Authors |
|---|---|---|---|
| 2025 | CVPR | Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces. | Souhail Hadgi, Luca Moschella, Andrea Santilli, Diego Gomez, Qixing Huang, Emanuele Rodol, Simone Melzi, Maks Ovsjanikov |
| 2025 | ICCV | ZeroKey: Point-Level Reasoning and Zero-Shot 3D Keypoint Detection from Large Language Models. | Bingchen Gong, Diego Gomez, Abdullah Hamdi, Abdelrahman Eldesokey, Ahmed Abdelreheem, Peter Wonka, Maks Ovsjanikov |
| 2025 | ICCV | SciVid: Cross-Domain Evaluation of Video Models in Scientific Applications. | 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 | ICCV | Laconic: A 3D Layout Adapter for Controllable Image Creation. | Lopold Maillard, Tom Durand, Adrien Ramanana Rahary, Maks Ovsjanikov |
| 2025 | ICCV | DiffuMatch: Category-Agnostic Spectral Diffusion Priors for Robust Non-Rigid Shape Matching. | Emery Pierson, Lei Li, Angela Dai, Maks Ovsjanikov |
| 2025 | ICLR | AtomSurf: Surface Representation for Learning on Protein Structures. | Vincent Mallet, Yangyang Miao, Souhaib Attaiki, Bruno Correia, Maks Ovsjanikov |
| 2025 | WACV | GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space. | Souhaib Attaiki, Paul Guerrero, Duygu Ceylan, Niloy J. Mitra, Maks Ovsjanikov |
| 2024 | CVPR | Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features. | Thomas Wimmer, Peter Wonka, Maks Ovsjanikov |
| 2024 | CVPR | Memory-Scalable and Simplified Functional Map Learning. | Robin Magnet, Maks Ovsjanikov |
| 2024 | CVPR | PoNQ: A Neural QEM-Based Mesh Representation. | Nissim Maruani, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun |
| 2024 | CVPR | Self-Supervised Dual Contouring. | Ramana Sundararaman, Roman Klokov, Maks Ovsjanikov |
| 2024 | ECCV | To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of Point Cloud Transfer Learning. | Souhail Hadgi, Lei Li, Maks Ovsjanikov |
| 2023 | CVPR | Affection: Learning Affective Explanations for Real-World Visual Data. | Panos Achlioptas, Maks Ovsjanikov, Leonidas J. Guibas, Sergey Tulyakov |
| 2023 | CVPR | Generalizable Local Feature Pre-training for Deformable Shape Analysis. | Souhaib Attaiki, Lei Li, Maks Ovsjanikov |
| 2023 | CVPR | Understanding and Improving Features Learned in Deep Functional Maps. | Souhaib Attaiki, Maks Ovsjanikov |
| 2023 | ICCV | SATR: Zero-Shot Semantic Segmentation of 3D Shapes. | Ahmed Abdelreheem, Ivan Skorokhodov, Maks Ovsjanikov, Peter Wonka |
| 2023 | ICCV | VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams. | Nissim Maruani, Roman Klokov, Maks Ovsjanikov, Pierre Alliez, Mathieu Desbrun |
| 2023 | ICCV | Spatially and Spectrally Consistent Deep Functional Maps. | Mingze Sun, Shiwei Mao, Puhua Jiang, Maks Ovsjanikov, Ruqi Huang |
| 2023 | ICML | TIDE: Time Derivative Diffusion for Deep Learning on Graphs. | Maysam Behmanesh, Maximilian Krahn, Maks Ovsjanikov |
| 2023 | SiggraphA | Zero-Shot 3D Shape Correspondence. | Ahmed Abdelreheem, Abdelrahman Eldesokey, Maks Ovsjanikov, Peter Wonka |
| 2022 | CVPR | Deep orientation-aware functional maps: Tackling symmetry issues in Shape Matching. | Nicolas Donati, Etienne Corman, Maks Ovsjanikov |
| 2022 | CVPR | Physical Simulation Layer for Accurate 3D Modeling. | Mariem Mezghanni, Tho Bodrito, Malika Boulkenafed, Maks Ovsjanikov |
| 2022 | ECCV | Implicit Field Supervision for Robust Non-rigid Shape Matching. | Ramana Sundararaman, Gautam Pai, Maks Ovsjanikov |
| 2022 | ICASSP | Matrix Decomposition on Graphs: A Simplified Functional View. | Abhishek Sharma, Maks Ovsjanikov |
| 2021 | CVPR | ArtEmis: Affective Language for Visual Art. | Panos Achlioptas, Maks Ovsjanikov, Kilichbek Haydarov, Mohamed Elhoseiny, Leonidas J. Guibas |
| 2021 | CVPR | Physically-Aware Generative Network for 3D Shape Modeling. | Mariem Mezghanni, Malika Boulkenafed, Andr Lieutier, Maks Ovsjanikov |
| 2021 | CVPR | Fast Sinkhorn Filters: Using Matrix Scaling for Non-Rigid Shape Correspondence With Functional Maps. | Gautam Pai, Jing Ren, Simone Melzi, Peter Wonka, Maks Ovsjanikov |
| 2021 | CVPR | Learning Delaunay Surface Elements for Mesh Reconstruction. | Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov |
| 2021 | ICCV | DWKS : A Local Descriptor of Deformations Between Meshes and Point Clouds. | Robin Magnet, Maks Ovsjanikov |
| 2020 | CVPR | Deep Geometric Functional Maps: Robust Feature Learning for Shape Correspondence. | Nicolas Donati, Abhishek Sharma, Maks Ovsjanikov |
| 2020 | ECCV | Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. | Marie-Julie Rakotosaona, Maks Ovsjanikov |
| 2020 | ECCV | PointTriNet: Learned Triangulation of 3D Point Sets. | Nicholas Sharp, Maks Ovsjanikov |
| 2019 | CVPR | Isospectralization, or How to Hear Shape, Style, and Correspondence. | Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Emanuele Rodol |
| 2019 | ICCV | OperatorNet: Recovering 3D Shapes From Difference Operators. | Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov |
| 2019 | ICCV | Unsupervised Deep Learning for Structured Shape Matching. | Jean-Michel Roufosse, Abhishek Sharma, Maks Ovsjanikov |
| 2019 | PG | Connectivity-preserving Smooth Surface Filling with Sharp Features. | Thibault Lescoat, Pooran Memari, Jean-Marc Thiery, Maks Ovsjanikov, Tamy Boubekeur |
| 2017 | ICCV | Region-Based Correspondence Between 3D Shapes via Spatially Smooth Biclustering. | Matteo Denitto, Simone Melzi, Manuele Bicego, Umberto Castellani, Alessandro Farinelli, Mrio A. T. Figueiredo, Yanir Kleiman, Maks Ovsjanikov |
| 2017 | SIGGRAPH | Computing and processing correspondences with functional maps. | Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodol, Mirela Ben-Chen, Leonidas J. Guibas, Frdric Chazal, Alexander M. Bronstein |
| 2016 | SIGGRAPH | Computing and processing correspondences with functional maps. | Maks Ovsjanikov, Etienne Corman, Michael M. Bronstein, Emanuele Rodol, Mirela Ben-Chen, Leonidas J. Guibas, Frdric Chazal, Alexander M. Bronstein |
| 2015 | MVA | Affine invariant visual phrases for object instance recognition. | Viorica Patraucean, Maks Ovsjanikov |
| 2014 | CVPR | Persistence-Based Structural Recognition. | Chunyuan Li, Maks Ovsjanikov, Frdric Chazal |
| 2014 | CVPR | Unsupervised Multi-class Joint Image Segmentation. | Fan Wang, Qixing Huang, Maks Ovsjanikov, Leonidas J. Guibas |
| 2014 | ECCV | Supervised Descriptor Learning for Non-Rigid Shape Matching. | Etienne Corman, Maks Ovsjanikov, Antonin Chambolle |
| 2013 | CVPR | Detection of Mirror-Symmetric Image Patches. | Viorica Patraucean, Rafael Grompone von Gioi, Maks Ovsjanikov |
| 2010 | CVPR | Image webs: Computing and exploiting connectivity in image collections. | Kyle Heath, Natasha Gelfand, Maks Ovsjanikov, Mridul Aanjaneya, Leonidas J. Guibas |
| 2010 | CVPR | Persistence-based segmentation of deformable shapes. | Primoz Skraba, Maks Ovsjanikov, Frdric Chazal, Leonidas J. Guibas |
| 2008 | SCA | Meshless Modeling of Deformable Shapes and their Motion. | Bart Adams, Maks Ovsjanikov, Michael Wand, Hans-Peter Seidel, Leonidas J. Guibas |
| 2007 | SGP | Dynamic geometry registration. | Niloy J. Mitra, Simon Flry, Maks Ovsjanikov, Natasha Gelfand, Leonidas J. Guibas, Helmut Pottmann |