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Maks Ovsjanikov

◀ ▶ joint publications with Marie-Julie Rakotosaona

> Home > Persons > Maks Ovsjanikov

Publications

2021
[j45]
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  - journals/tog/RakotosaonaAMOG21
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  - https://dblp.org/rec/journals/tog/RakotosaonaAMOG21
Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov, Paul Guerrero:
Differentiable surface triangulation. ACM Trans. Graph. 40(6): 267:1-267:13 (2021)
[c43]
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  - conf/cvpr/RakotosaonaGAMO21
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  - https://dblp.org/rec/conf/cvpr/RakotosaonaGAMO21
Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov:
Learning Delaunay Surface Elements for Mesh Reconstruction. CVPR 2021: 22-31
[i33]
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  - electronic edition @ arxiv.org (open access)
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  - journals/corr/abs-2109-10695
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Marie-Julie Rakotosaona, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov, Paul Guerrero:
Differentiable Surface Triangulation. CoRR abs/2109.10695 (2021)
2020
[j44]
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  - journals/cgf/RakotosaonaBGMO20
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Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J. Mitra, Maks Ovsjanikov:
PointCleanNet: Learning to Denoise and Remove Outliers from Dense Point Clouds. Comput. Graph. Forum 39(1): 185-203 (2020)
[c36]
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  - conf/eccv/RakotosaonaO20
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Marie-Julie Rakotosaona, Maks Ovsjanikov:
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. ECCV (2) 2020: 655-672
[c34]
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  - electronic edition @ neurips.cc (open access)
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  - conf/nips/MarinRMO20
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Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks Ovsjanikov:
Correspondence learning via linearly-invariant embedding. NeurIPS 2020
[i25]
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  - journals/corr/abs-2004-01661
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Marie-Julie Rakotosaona, Maks Ovsjanikov:
Intrinsic Point Cloud Interpolation via Dual Latent Space Navigation. CoRR abs/2004.01661 (2020)
[i18]
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  - journals/corr/abs-2010-13136
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Riccardo Marin, Marie-Julie Rakotosaona, Simone Melzi, Maks Ovsjanikov:
Correspondence Learning via Linearly-invariant Embedding. CoRR abs/2010.13136 (2020)
[i16]
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  - journals/corr/abs-2012-01203
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Marie-Julie Rakotosaona, Paul Guerrero, Noam Aigerman, Niloy J. Mitra, Maks Ovsjanikov:
Learning Delaunay Surface Elements for Mesh Reconstruction. CoRR abs/2012.01203 (2020)
2019
[c31]
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  - conf/3dim/PoulenardRPO19
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  - https://dblp.org/rec/conf/3dim/PoulenardRPO19
Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov:
Effective Rotation-Invariant Point CNN with Spherical Harmonics Kernels. 3DV 2019: 47-56
[c27]
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  - conf/iccv/HuangRAGO19
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Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
OperatorNet: Recovering 3D Shapes From Difference Operators. ICCV 2019: 8587-8596
[i15]
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  - journals/corr/abs-1901-01060
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Marie-Julie Rakotosaona, Vittorio La Barbera, Paul Guerrero, Niloy J. Mitra, Maks Ovsjanikov:
POINTCLEANNET: Learning to Denoise and Remove Outliers from Dense Point Clouds. CoRR abs/1901.01060 (2019)
[i13]
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  - journals/corr/abs-1904-10754
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Ruqi Huang, Marie-Julie Rakotosaona, Panos Achlioptas, Leonidas J. Guibas, Maks Ovsjanikov:
OperatorNet: Recovering 3D Shapes From Difference Operators. CoRR abs/1904.10754 (2019)
[i10]
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  - journals/corr/abs-1906-11555
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Adrien Poulenard, Marie-Julie Rakotosaona, Yann Ponty, Maks Ovsjanikov:
Effective Rotation-invariant Point CNN with Spherical Harmonics kernels. CoRR abs/1906.11555 (2019)

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