Lifting Methods for Global Matching Problems

Información del proyecto

LiftMatch

Identificador del acuerdo de subvención: 771136

DOI

10.3030/771136

Proyecto finalizado el 7 Febrero 2023

Fecha de la firma de la CE 12 Febrero 2018

Fecha de inicio 1 Marzo 2018

Fecha de finalización 28 Febrero 2023

Financiado con arreglo a

• EXCELLENT SCIENCE - European Research Council (ERC)

Coste total

€ 1 675 640,00

Aportación de la UE

€ 1 675 640,00

Coordinado por

WEIZMANN INSTITUTE OF SCIENCE
Israel

CORDIS proporciona enlaces a los documentos públicos y las publicaciones de los proyectos de los programas marco HORIZONTE.

Los enlaces a los documentos y las publicaciones de los proyectos del Séptimo Programa Marco, así como los enlaces a algunos tipos de resultados específicos, como conjuntos de datos y «software», se obtienen dinámicamente de OpenAIRE .

Publicaciones

Conference proceedings (13)

Sal: Sign agnostic learning of shapes from raw data

Autores: M Atzmon, Y Lipman
Publicado en: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020., 2020
Editor: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

Frame Averaging for Invariant and Equivariant Network Design

Autores: Omri Puny, Matan Atzmon, Heli Ben-Hamu, Ishan Misra, Aditya Grover, Edward J. Smith, Yaron Lipman
Publicado en: 2022
Editor: International Conference on Learning Representations

Controlling neural level sets

Autores: M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman
Publicado en: Advances in Neural Information Processing Systems (NeurIPS), 2019
Editor: Advances in Neural Information Processing Systems (NeurIPS)

Set2Graph: Learning Graphs From Sets

Autores: Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman
Publicado en: 2020
Editor: 34th Annual Conference on Neural Information Processing Systems (NeurIPS)

Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

Autores: Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, Yaron Lip- man
Publicado en: 2020
Editor: 34th Annual Conference on Neural Information Processing Systems (NeurIPS)

Provably powerful graph networks

Autores: H Maron, H Ben-Hamu, H Serviansky, Y Lipman
Publicado en: Advances in Neural Information Processing Systems (NeurIPS), 2019
Editor: Advances in Neural Information Processing Systems (NeurIPS)

(Probably) concave graph matching

Autores: Haggai Maron, Yaron Lipman
Publicado en: Advances in Neural Information Processing Systems, 2018, Página(s) 408--418
Editor: Advances in Neural Information Processing Systems

Invariant and Equivariant Graph Networks

Autores: Haggai Maron and Heli Ben{-}Hamu and Nadav Shamir and Yaron Lipman
Publicado en: 7th International Conference on Learning Representations, {ICLR} 2019, New Orleans, LA, USA, May 6-9, 2019, 2019
Editor: 7th International Conference on Learning Representations, {ICLR} 2019, New Orleans, LA, USA, May 6-9, 2019

Surface Networks via General Covers

Autores: Niv Haim*, Nimrod Segol*, Heli Ben-Hamu, Haggai Maron, Yaron Lipman
Publicado en: International Conference on Computer Vision (ICCV) 2019, 2019
Editor: International Conference on Computer Vision (ICCV)

On the Universality of Invariant Networks

Autores: Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman
Publicado en: International Conference on Machine Learning (ICML) 2019, 2019
Editor: International Conference on Machine Learning (ICML)

Implicit Geometric Regularization for Learning Shapes

Autores: Gropp, Amos; Yariv, Lior; Haim, Niv; Atzmon, Matan; Lipman, Yaron
Publicado en: Thirty-seventh International Conference on Machine Learning (ICML), Edición 1, 2020
Editor: Thirty-seventh International Conference on Machine Learning (ICML)

Moser Flow: Divergence-based Generative Modeling on Manifolds

Autores: Noam Rozen, Aditya Grover, Maximilian Nickel, Yaron Lipman
Publicado en: 2021
Editor: Neural Information Processing Systems (NeurIPS)

On universal equivariant set networks

Autores: N Segol, Y Lipman
Publicado en: International Conference on Learning Representations (ICLR) 2020, 2020
Editor: International Conference on Learning Representations (ICLR)

Peer reviewed articles (6)

Robust optimization for topological surface reconstruction

Autores: Roee Lazar, Nadav Dym, Yam Kushinsky, Zhiyang Huang, Tao Ju, Yaron Lipman
Publicado en: ACM Transactions on Graphics, Edición 37/4, 2018, Página(s) 1-10, ISSN 0730-0301
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3197517.3201348

Linear variational principle for Riemann mappings and discrete conformality

Autores: Nadav Dym, Raz Slutsky, Yaron Lipman
Publicado en: Proceedings of the National Academy of Sciences, Edición 116/3, 2019, Página(s) 732-737, ISSN 0027-8424
Editor: National Academy of Sciences
DOI: 10.1073/pnas.1809731116

Multi-chart generative surface modeling

Autores: Heli Ben-Hamu, Haggai Maron, Itay Kezurer, Gal Avineri, Yaron Lipman
Publicado en: ACM Transactions on Graphics, Edición 37/6, 2019, Página(s) 1-15, ISSN 0730-0301
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3272127.3275052

Point convolutional neural networks by extension operators

Autores: Matan Atzmon, Haggai Maron, Yaron Lipman
Publicado en: ACM Transactions on Graphics, Edición 37/4, 2018, Página(s) 1-12, ISSN 0730-0301
Editor: Association for Computing Machinary, Inc.
DOI: 10.1145/3197517.3201301

Sinkhorn Algorithm for Lifted Assignment Problems

Autores: Yam Kushinsky, Haggai Maron, Nadav Dym, Yaron Lipman
Publicado en: SIAM Journal on Imaging Sciences, Edición 12/2, 2019, Página(s) 716-735, ISSN 1936-4954
Editor: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1196480

Exact Recovery with Symmetries for the Doubly Stochastic Relaxation

Autores: Nadav Dym
Publicado en: SIAM Journal on Applied Algebra and Geometry, Edición 2/3, 2018, Página(s) 462-488, ISSN 2470-6566
Editor: SIAM
DOI: 10.1137/17m1132264