Maks Ovsjanikov

About Maks Ovsjanikov

Maks Ovsjanikov, With an exceptional h-index of 45 and a recent h-index of 36 (since 2020), a distinguished researcher at École Polytechnique, specializes in the field of 3D Computer Vision, Geometry Processing, Shape Analysis, Shape Matching.

His recent articles reflect a diverse array of research interests and contributions to the field:

To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning

PoNQ: a Neural QEM-based Mesh Representation

Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction

Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features

Memory-Scalable and Simplified Functional Map Learning

Generalizable local feature pre-training for deformable shape analysis

Finding Antibodies in Cryo-EM densities with CrAI

AtomSurf: Surface Representation for Learning on Protein Structures

Maks Ovsjanikov Information

University

Position

Professor

Citations(all)

10103

Citations(since 2020)

5561

Cited By

6420

hIndex(all)

45

hIndex(since 2020)

36

i10Index(all)

100

i10Index(since 2020)

85

Email

University Profile Page

Google Scholar

Maks Ovsjanikov Skills & Research Interests

3D Computer Vision

Geometry Processing

Shape Analysis

Shape Matching

Top articles of Maks Ovsjanikov

Title

Journal

Author(s)

Publication Date

To Supervise or Not to Supervise: Understanding and Addressing the Key Challenges of 3D Transfer Learning

arXiv preprint arXiv:2403.17869

Souhail Hadgi

Lei Li

Maks Ovsjanikov

2024/3/26

PoNQ: a Neural QEM-based Mesh Representation

arXiv preprint arXiv:2403.12870

Nissim Maruani

Maks Ovsjanikov

Pierre Alliez

Mathieu Desbrun

2024/3/19

Shape Non-rigid Kinematics (SNK): A Zero-Shot Method for Non-Rigid Shape Matching via Unsupervised Functional Map Regularized Reconstruction

Advances in Neural Information Processing Systems

Souhaib Attaiki

Maks Ovsjanikov

2024/2/13

Back to 3D: Few-Shot 3D Keypoint Detection with Back-Projected 2D Features

Thomas Wimmer

Peter Wonka

Maks Ovsjanikov

2024/6/17

Memory-Scalable and Simplified Functional Map Learning

arXiv preprint arXiv:2404.00330

Robin Magnet

Maks Ovsjanikov

2024/3/30

Generalizable local feature pre-training for deformable shape analysis

Souhaib Attaiki

Lei Li

Maks Ovsjanikov

2023

Finding Antibodies in Cryo-EM densities with CrAI

bioRxiv

Vincent Mallet

Chiara Rapisarda

Hervé Minoux

Maks Ovsjanikov

2023

AtomSurf: Surface Representation for Learning on Protein Structures

arXiv preprint arXiv:2309.16519

Vincent Mallet

Souhaib Attaiki

Maks Ovsjanikov

2023/9/28

Affection: Learning affective explanations for real-world visual data

Panos Achlioptas

Maks Ovsjanikov

Leonidas Guibas

Sergey Tulyakov

2023

VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams

Nissim Maruani

Roman Klokov

Maks Ovsjanikov

Pierre Alliez

Mathieu Desbrun

2023

ReVISOR: ResUNets with visibility and intensity for structured outlier removal

ISPRS Journal of Photogrammetry and Remote Sensing

Maxime Kirgo

Guillaume Terrasse

Guillaume Thibault

Maks Ovsjanikov

2023/8/1

Spatially and spectrally consistent deep functional maps

Mingze Sun

Shiwei Mao

Puhua Jiang

Maks Ovsjanikov

Ruqi Huang

2023

Assessing craniofacial growth and form without landmarks: A new automatic approach based on spectral methods

Journal of Morphology

Robin Magnet

Kevin Bloch

Maxime Taverne

Simone Melzi

Maya Geoffroy

...

2023/8

Satr: Zero-shot semantic segmentation of 3d shapes

Ahmed Abdelreheem

Ivan Skorokhodov

Maks Ovsjanikov

Peter Wonka

2023

TIDE: Time derivative diffusion for deep learning on graphs

Maysam Behmanesh

Maximilian Krahn

Maks Ovsjanikov

2023/7/3

Zero-shot 3d shape correspondence

Ahmed Abdelreheem

Abdelrahman Eldesokey

Maks Ovsjanikov

Peter Wonka

2023/12/10

Understanding and improving features learned in deep functional maps

Souhaib Attaiki

Maks Ovsjanikov

2023

Scalable and efficient functional map computations on dense meshes

Computer Graphics Forum

Robin Magnet

Maks Ovsjanikov

2023/5

Unsupervised Representation Learning for Diverse Deformable Shape Collections

arXiv preprint arXiv:2310.18141

Sara Hahner

Souhaib Attaiki

Jochen Garcke

Maks Ovsjanikov

2023/10/27

Learning multi-resolution functional maps with spectral attention for robust shape matching

Advances in Neural Information Processing Systems

Lei Li

Nicolas Donati

Maks Ovsjanikov

2022/12/6

See List of Professors in Maks Ovsjanikov University(École Polytechnique)

Co-Authors

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