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Spectral geometric methods in practice

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Publications

Unsupervised Learning of Dense Shape Correspondence

Author(s): Oshri Halimi, Or Litany, Emanuele Rodola Rodola, Alex M. Bronstein, Ron Kimmel
Published in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Page(s) 4365-4374
DOI: 10.1109/CVPR.2019.00450

Correspondence-Free Region Localization for Partial Shape Similarity via Hamiltonian Spectrum Alignment

Author(s): Arianna Rampini, Irene Tallini, Maks Ovsjanikov, Alex M. Bronstein, Emanuele Rodola
Published in: 2019 International Conference on 3D Vision (3DV), 2019, Page(s) 37-46
DOI: 10.1109/3DV.2019.00014

SHREC’19: matching humans with different connectivity

Author(s): Melzi, S.; Marin, R.; Rodolà, E.; Castellani, U.; Ren, J.; Poulenard, A.; Wonka,; and Ovsjanikov, P.
Published in: 12th EG Workshop 3D Object Retrieval, 2019
DOI: 10.2312/3dor.20191070

High-Resolution Augmentation for Automatic Template-Based Matching of Human Models

Author(s): Riccardo Marin, Simone Melzi, Emanuele Rodola, Umberto Castellani
Published in: 2019 International Conference on 3D Vision (3DV), 2019, Page(s) 230-239
DOI: 10.1109/3DV.2019.00034

GFrames: Gradient-Based Local Reference Frame for 3D Shape Matching

Author(s): Simone Melzi, Riccardo Spezialetti, Federico Tombari, Michael M. Bronstein, Luigi Di Stefano, Emanuele Rodola
Published in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Page(s) 4624-4633
DOI: 10.1109/CVPR.2019.00476

SHREC’19: Shape correspondence with isometric and non-isometric deformations

Author(s): Dyke, R. M.; Stride, C.; Lai, Y. -K.; Rosin, P. L.; Aubry, M.; Boyarski, A.; Bronstein, A. M.; Bronstein, M. M.; Cremers, D.; Fisher, M.; Groueix, T.; Guo, D.; Kim, V. G.; Kimmel, R.; Lähner, Z.; Li, K.; Litany, O.; Remez, T.; Rodolà, E.; Russell, B. C.; Sahillioglu, Y.; Slossberg, R.; Tam, G. K. L.; Vestner, M.; Wu,; and Yang, Z.
Published in: 12th EG Workshop 3D Object Retrieval, 2019
DOI: 10.2312/3dor.20191069

Isospectralization, or How to Hear Shape, Style, and Correspondence

Author(s): Luca Cosmo, Mikhail Panine, Arianna Rampini, Maks Ovsjanikov, Michael M. Bronstein, Rodola Rodola
Published in: 2019 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), 2019, Page(s) 7521-7530
DOI: 10.1109/CVPR.2019.00771

Functional Maps on Product Manifolds

Author(s): Rodola', Emanuele; Zorah, Lähner; Alex, M Bronstein; Michael, M Bronstein; Justin, Solomon
Published in: Eurographics Symposium on Geometry Processing (SGP), 2018
DOI: 10.2312/sgp.20181182

FARM: Functional Automatic Registration Method for 3D Human Bodies

Author(s): R. Marin, S. Melzi, E. Rodolà, U. Castellani
Published in: Computer Graphics Forum, Issue 39/1, 2019, Page(s) 160-173, ISSN 0167-7055
DOI: 10.1111/cgf.13751

Deciphering interaction fingerprints from protein molecular surfaces using geometric deep learning

Author(s): P. Gainza, F. Sverrisson, F. Monti, E. Rodolà, D. Boscaini, M. M. Bronstein, B. E. Correia
Published in: Nature Methods, Issue 2, 2020, Page(s) 184-192, ISSN 1548-7091
DOI: 10.1038/s41592-019-0666-6

ZoomOut

Author(s): Simone Melzi, Jing Ren, Emanuele Rodolà, Abhishek Sharma, Peter Wonka, Maks Ovsjanikov
Published in: ACM Transactions on Graphics, Issue 38/6, 2019, Page(s) 1-14, ISSN 0730-0301
DOI: 10.1145/3355089.3356524

Functional Maps Representation On Product Manifolds

Author(s): E. Rodolà, Z. Lähner, A. M. Bronstein, M. M. Bronstein, J. Solomon
Published in: Computer Graphics Forum, Issue 38/1, 2018, Page(s) 678-689, ISSN 0167-7055
DOI: 10.1111/cgf.13598