Maks Ovsjanikov's website (original) (raw)
I am a professor in the Computer Science department at Ecole Polytechnique in France, and a Visiting Research Scientist at Google DeepMind. At Ecole Polytechnique, I am a member of the GeomeriX team, and my research is currently supported by my ERC Consolidator Grant: VEGA.
My work is primarily related to geometric (3D) shape analysis with emphasis on Deep Learning for non-rigid shape comparison and processing. In the past, I have worked on a range of topics including shape classification and retrieval, non-rigid shape-matching, comparison, denoising and symmetry detection especially on 3D point cloud and triangle mesh data. I'm also very interested in Computer Graphics and Computer Vision in general, as well as applications of Deep Learning for scientific discovery. You can find some of my work on the Publications page.
Recent News
April 2025
I gave a keynote at the very interesting event, GDR IASIS workday on Deformable Object Modelling Trends: from Perception to Applications.
Our paper Finding antibodies in cryo-EM densities with CrAI with Vincent Mallet, Chiara Rapisarda and Hervé Minoux, which came out of our collaboration with Sanofi has been accepted in the Bioinformatics journal.
March 2025
Antoine Guédon has started his postdoc position in our group. Welcome to Antoine!
Our paper, NAM: Neural Adjoint Maps for refinement of shape correspondences with Giulio Viganò and Simone Melzi has been accepted at SIGGRAPH 2025 (journal track).
Ramana Sundararaman, a PhD student from our group, just defended his PhD thesis entitled, Robust Data-Driven Techniques for Analysis of Large-Scale 3D Shape Collections. Congratulations to Ramana!
February 2025
I gave a talk in the MBZUAI Workshop on the Foundations and Advances in Generative AI held in Paris.
Our paper Escaping Plato's Cave: Towards the Alignment of 3D and Text Latent Spaces with Souhail Hadgi, Luca Moschella, Andrea Santilli, Diego Gomez, Qixing Huang, Emanuele Rodolà and Simone Melzi has been accepted at CVPR 2025.
January 2025
Our paper AtomSurf: Surface Representation for Learning on Protein Structures with Vincent Mallet, Yangyang Miao, Souhaib Attaiki, and Bruno Correia has been accepted at ICLR 2025.
December 2024
Our paper FourieRF: Few-Shot NeRFs via Progressive Fourier Frequency Control with Diego Gomez and Bingchen Bong has been accepted at 3DV 2025.
November 2024
Our paper Smoothed Graph Contrastive Learning via Seamless Proximity Integration with Maysam Behmanesh has been accepted at Learning on Graphs Conference 2024.
I'm currently accepting applications for PhD positions via the ELLIS PhD program portal. Please apply there if you are interested in joining our group.
October 2024
Souhaib Attaiki a student from our group, just defended his PhD dissertation entitled Robust Deep Learning-based Methods for Non-Rigid Shape Correspondence. Congratulations to Souhaib!
Our paper GANFusion: Feed-Forward Text-to-3D with Diffusion in GAN Space with Souhaib Attaiki, Paul Guerrero, Duygu Ceylan and Niloy Mitra has been accepted at WACV 2025.
I'm happy and honored to join Google DeepMind as a Visiting Research Scientist.