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:

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

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

Zero-shot 3d shape correspondence

Unsupervised Representation Learning for Diverse Deformable Shape Collections

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

PoNQ: a Neural QEM-based Mesh Representation

arXiv preprint arXiv:2403.12870

2024/3/19

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

Mathieu Desbrun
Mathieu Desbrun

H-Index: 40

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

2024/2/13

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

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

2024/6/17

Peter Wonka
Peter Wonka

H-Index: 38

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

Memory-Scalable and Simplified Functional Map Learning

arXiv preprint arXiv:2404.00330

2024/3/30

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

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

arXiv preprint arXiv:2403.17869

2024/3/26

Lei Li
Lei Li

H-Index: 18

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

Zero-shot 3d shape correspondence

2023/12/10

Unsupervised Representation Learning for Diverse Deformable Shape Collections

arXiv preprint arXiv:2310.18141

2023/10/27

Jochen Garcke
Jochen Garcke

H-Index: 16

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

AtomSurf: Surface Representation for Learning on Protein Structures

arXiv preprint arXiv:2309.16519

2023/9/28

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

ReVISOR: ResUNets with visibility and intensity for structured outlier removal

ISPRS Journal of Photogrammetry and Remote Sensing

2023/8/1

Guillaume Thibault
Guillaume Thibault

H-Index: 15

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

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

Journal of Morphology

2023/8

Simone Melzi
Simone Melzi

H-Index: 14

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

TIDE: Time derivative diffusion for deep learning on graphs

2023/7/3

Maysam Behmanesh
Maysam Behmanesh

H-Index: 2

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

Scalable and efficient functional map computations on dense meshes

Computer Graphics Forum

2023/5

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

Finding Antibodies in Cryo-EM densities with CrAI

bioRxiv

2023

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

VoroMesh: Learning Watertight Surface Meshes with Voronoi Diagrams

2023

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

Mathieu Desbrun
Mathieu Desbrun

H-Index: 40

Spatially and spectrally consistent deep functional maps

2023

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

Satr: Zero-shot semantic segmentation of 3d shapes

2023

Understanding and improving features learned in deep functional maps

2023

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

Generalizable local feature pre-training for deformable shape analysis

2023

Lei Li
Lei Li

H-Index: 18

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

Affection: Learning affective explanations for real-world visual data

2023

Physical simulation layer for accurate 3d modeling

2022

Maks Ovsjanikov
Maks Ovsjanikov

H-Index: 31

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

Co-Authors

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