Lifting Methods for Global Matching Problems

Project Information

LiftMatch

Grant agreement ID: 771136

DOI

10.3030/771136

Project terminated on 7 February 2023

EC signature date 12 February 2018

Start date 1 March 2018

End date 28 February 2023

Funded under

• EXCELLENT SCIENCE - European Research Council (ERC)

Total cost

€ 1 675 640,00

EU contribution

€ 1 675 640,00

Coordinated by

WEIZMANN INSTITUTE OF SCIENCE
Israel

CORDIS provides links to public deliverables and publications of HORIZON projects.

Links to deliverables and publications from FP7 projects, as well as links to some specific result types such as dataset and software, are dynamically retrieved from OpenAIRE .

Publications

Conference proceedings (13)

Sal: Sign agnostic learning of shapes from raw data

Author(s): M Atzmon, Y Lipman
Published in: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020., 2020
Publisher: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition. 2020.

Frame Averaging for Invariant and Equivariant Network Design

Author(s): Omri Puny, Matan Atzmon, Heli Ben-Hamu, Ishan Misra, Aditya Grover, Edward J. Smith, Yaron Lipman
Published in: 2022
Publisher: International Conference on Learning Representations

Controlling neural level sets

Author(s): M Atzmon, N Haim, L Yariv, O Israelov, H Maron, Y Lipman
Published in: Advances in Neural Information Processing Systems (NeurIPS), 2019
Publisher: Advances in Neural Information Processing Systems (NeurIPS)

Set2Graph: Learning Graphs From Sets

Author(s): Hadar Serviansky, Nimrod Segol, Jonathan Shlomi, Kyle Cranmer, Eilam Gross, Haggai Maron, Yaron Lipman
Published in: 2020
Publisher: 34th Annual Conference on Neural Information Processing Systems (NeurIPS)

Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

Author(s): Lior Yariv, Yoni Kasten, Dror Moran, Meirav Galun, Matan Atzmon, Ronen Basri, Yaron Lip- man
Published in: 2020
Publisher: 34th Annual Conference on Neural Information Processing Systems (NeurIPS)

Provably powerful graph networks

Author(s): H Maron, H Ben-Hamu, H Serviansky, Y Lipman
Published in: Advances in Neural Information Processing Systems (NeurIPS), 2019
Publisher: Advances in Neural Information Processing Systems (NeurIPS)

(Probably) concave graph matching

Author(s): Haggai Maron, Yaron Lipman
Published in: Advances in Neural Information Processing Systems, 2018, Page(s) 408--418
Publisher: Advances in Neural Information Processing Systems

Invariant and Equivariant Graph Networks

Author(s): Haggai Maron and Heli Ben{-}Hamu and Nadav Shamir and Yaron Lipman
Published in: 7th International Conference on Learning Representations, {ICLR} 2019, New Orleans, LA, USA, May 6-9, 2019, 2019
Publisher: 7th International Conference on Learning Representations, {ICLR} 2019, New Orleans, LA, USA, May 6-9, 2019

Surface Networks via General Covers

Author(s): Niv Haim*, Nimrod Segol*, Heli Ben-Hamu, Haggai Maron, Yaron Lipman
Published in: International Conference on Computer Vision (ICCV) 2019, 2019
Publisher: International Conference on Computer Vision (ICCV)

On the Universality of Invariant Networks

Author(s): Haggai Maron, Ethan Fetaya, Nimrod Segol, Yaron Lipman
Published in: International Conference on Machine Learning (ICML) 2019, 2019
Publisher: International Conference on Machine Learning (ICML)

Implicit Geometric Regularization for Learning Shapes

Author(s): Gropp, Amos; Yariv, Lior; Haim, Niv; Atzmon, Matan; Lipman, Yaron
Published in: Thirty-seventh International Conference on Machine Learning (ICML), Issue 1, 2020
Publisher: Thirty-seventh International Conference on Machine Learning (ICML)

Moser Flow: Divergence-based Generative Modeling on Manifolds

Author(s): Noam Rozen, Aditya Grover, Maximilian Nickel, Yaron Lipman
Published in: 2021
Publisher: Neural Information Processing Systems (NeurIPS)

On universal equivariant set networks

Author(s): N Segol, Y Lipman
Published in: International Conference on Learning Representations (ICLR) 2020, 2020
Publisher: International Conference on Learning Representations (ICLR)

Peer reviewed articles (6)

Robust optimization for topological surface reconstruction

Author(s): Roee Lazar, Nadav Dym, Yam Kushinsky, Zhiyang Huang, Tao Ju, Yaron Lipman
Published in: ACM Transactions on Graphics, Issue 37/4, 2018, Page(s) 1-10, ISSN 0730-0301
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3197517.3201348

Linear variational principle for Riemann mappings and discrete conformality

Author(s): Nadav Dym, Raz Slutsky, Yaron Lipman
Published in: Proceedings of the National Academy of Sciences, Issue 116/3, 2019, Page(s) 732-737, ISSN 0027-8424
Publisher: National Academy of Sciences
DOI: 10.1073/pnas.1809731116

Multi-chart generative surface modeling

Author(s): Heli Ben-Hamu, Haggai Maron, Itay Kezurer, Gal Avineri, Yaron Lipman
Published in: ACM Transactions on Graphics, Issue 37/6, 2019, Page(s) 1-15, ISSN 0730-0301
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3272127.3275052

Point convolutional neural networks by extension operators

Author(s): Matan Atzmon, Haggai Maron, Yaron Lipman
Published in: ACM Transactions on Graphics, Issue 37/4, 2018, Page(s) 1-12, ISSN 0730-0301
Publisher: Association for Computing Machinary, Inc.
DOI: 10.1145/3197517.3201301

Sinkhorn Algorithm for Lifted Assignment Problems

Author(s): Yam Kushinsky, Haggai Maron, Nadav Dym, Yaron Lipman
Published in: SIAM Journal on Imaging Sciences, Issue 12/2, 2019, Page(s) 716-735, ISSN 1936-4954
Publisher: Society for Industrial and Applied Mathematics
DOI: 10.1137/18m1196480

Exact Recovery with Symmetries for the Doubly Stochastic Relaxation

Author(s): Nadav Dym
Published in: SIAM Journal on Applied Algebra and Geometry, Issue 2/3, 2018, Page(s) 462-488, ISSN 2470-6566
Publisher: SIAM
DOI: 10.1137/17m1132264