Articles with public access mandates - Maks OvsjanikovLearn more
Not available anywhere: 2
Shape correspondence and functional maps
M Ovsjanikov
Handbook of Numerical Analysis 19, 91-118, 2018
Mandates: European Commission
RIVQ-VAE: Discrete Rotation-Invariant 3D Representation Learning
M Mezghanni, M Boulkenafed, M Ovsjanikov
2024 International Conference on 3D Vision (3DV), 1382-1391, 2024
Mandates: European Commission, Agence Nationale de la Recherche
Available somewhere: 89
A concise and provably informative multi‐scale signature based on heat diffusion
J Sun, M Ovsjanikov, L Guibas
Computer graphics forum 28 (5), 1383-1392, 2009
Mandates: US National Institutes of Health
One point isometric matching with the heat kernel
M Ovsjanikov, Q Mérigot, F Mémoli, L Guibas
Computer Graphics Forum 29 (5), 1555-1564, 2010
Mandates: US National Institutes of Health
PCPNET: Learning Local Shape Properties from Raw Point Clouds
P Guerrero, Y Kleiman, M Ovsjanikov, N Mitra
https://arxiv.org/abs/1710.04954, 2017
Mandates: UK Engineering and Physical Sciences Research Council
Global intrinsic symmetries of shapes
M Ovsjanikov, J Sun, L Guibas
Computer graphics forum 27 (5), 1341-1348, 2008
Mandates: US National Institutes of Health
Diffusionnet: Discretization agnostic learning on surfaces
N Sharp, S Attaiki, K Crane, M Ovsjanikov
ACM Transactions on Graphics (TOG) 41 (3), 1-16, 2022
Mandates: US National Science Foundation, European Commission, Agence Nationale de la …
Efficient reconstruction of nonrigid shape and motion from real-time 3D scanner data
M Wand, B Adams, M Ovsjanikov, A Berner, M Bokeloh, P Jenke, ...
ACM Transactions on Graphics (TOG) 28 (2), 1-15, 2009
Mandates: US National Institutes of Health, German Research Foundation
Continuous and orientation-preserving correspondences via functional maps
J Ren, A Poulenard, P Wonka, M Ovsjanikov
ACM Transactions on Graphics (ToG) 37 (6), 1-16, 2018
Mandates: European Commission
Deep geometric functional maps: Robust feature learning for shape correspondence
N Donati, A Sharma, M Ovsjanikov
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2020
Mandates: European Commission
Artemis: Affective language for visual art
P Achlioptas, M Ovsjanikov, K Haydarov, M Elhoseiny, LJ Guibas
Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern …, 2021
Mandates: US Department of Defense, European Commission, Agence Nationale de la Recherche
Exploration of continuous variability in collections of 3d shapes
M Ovsjanikov, W Li, L Guibas, NJ Mitra
ACM Transactions on Graphics (TOG) 30 (4), 1-10, 2011
Mandates: US National Institutes of Health
Stable topological signatures for points on 3d shapes
M Carrière, SY Oudot, M Ovsjanikov
Computer graphics forum 34 (5), 1-12, 2015
Mandates: European Commission
Unsupervised deep learning for structured shape matching
JM Roufosse, A Sharma, M Ovsjanikov
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
Mandates: European Commission
Effective rotation-invariant point cnn with spherical harmonics kernels
A Poulenard, MJ Rakotosaona, Y Ponty, M Ovsjanikov
2019 International Conference on 3D Vision (3DV), 47-56, 2019
Mandates: European Commission
Multi-directional geodesic neural networks via equivariant convolution
A Poulenard, M Ovsjanikov
ACM Transactions on Graphics (TOG) 37 (6), 1-14, 2018
Mandates: European Commission
Topological function optimization for continuous shape matching
A Poulenard, P Skraba, M Ovsjanikov
Computer Graphics Forum 37 (5), 13-25, 2018
Mandates: Slovenian Research Agency, European Commission
Dpfm: Deep partial functional maps
S Attaiki, G Pai, M Ovsjanikov
2021 International Conference on 3D Vision (3DV), 175-185, 2021
Mandates: Agence Nationale de la Recherche
Supervised descriptor learning for non-rigid shape matching
E Corman, M Ovsjanikov, A Chambolle
Computer Vision-ECCV 2014 Workshops: Zurich, Switzerland, September 6-7 and …, 2015
Mandates: Austrian Science Fund
Correspondence learning via linearly-invariant embedding
R Marin, MJ Rakotosaona, S Melzi, M Ovsjanikov
Advances in Neural Information Processing Systems 33, 1608-1620, 2020
Mandates: European Commission, Agence Nationale de la Recherche
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