Oshri Halimi

Publication Activity (10 Years)

Years Active: 2018-2023
Publications (10 Years): 14

Top Topics

Shape Correspondence

Registration Process

Supervised Learning

Deformable Shapes

Top Venues

ACM Trans. Graph.

Publications

Oshri Halimi, Egor Larionov, Zohar Barzelay, Philipp Herholz, Tuur Stuyck
PhysGraph: Physics-Based Integration Using Graph Neural Networks. CoRR (2023)
Oshri Halimi, Fabian Prada, Tuur Stuyck, Donglai Xiang, Timur M. Bagautdinov, He Wen, Ron Kimmel, Takaaki Shiratori, Chenglei Wu, Yaser Sheikh
Garment Avatars: Realistic Cloth Driving using Pattern Registration. CoRR (2022)
Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Peter W. J. Staar, Kate Saenko, Rogério Feris, Leonid Karlinsky
FETA: Towards Specializing Foundational Models for Expert Task Applications. NeurIPS (2022)
Amit Alfassy, Assaf Arbelle, Oshri Halimi, Sivan Harary, Roei Herzig, Eli Schwartz, Rameswar Panda, Michele Dolfi, Christoph Auer, Kate Saenko, Peter W. J. Staar, Rogério Feris, Leonid Karlinsky
FETA: Towards Specializing Foundation Models for Expert Task Applications. CoRR (2022)
Oshri Halimi, Tuur Stuyck, Donglai Xiang, Timur M. Bagautdinov, He Wen, Ron Kimmel, Takaaki Shiratori, Chenglei Wu, Yaser Sheikh, Fabian Prada
Pattern-Based Cloth Registration and Sparse-View Animation. ACM Trans. Graph. 41 (6) (2022)
Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel
Towards Precise Completion of Deformable Shapes. ECCV (24) (2020)
Amit Bracha, Oshri Halimi, Ron Kimmel
Shape Correspondence by Aligning Scale-invariant LBO Eigenfunctions. 3DOR (2020)
Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. CoRR (2020)
Oshri Halimi, Ido Imanuel, Or Litany, Giovanni Trappolini, Emanuele Rodolà, Leonidas J. Guibas, Ron Kimmel
The Whole Is Greater Than the Sum of Its Nonrigid Parts. CoRR (2020)
Luca Cosmo, Antonio Norelli, Oshri Halimi, Ron Kimmel, Emanuele Rodolà
LIMP: Learning Latent Shape Representations with Metric Preservation Priors. ECCV (3) (2020)
Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel
Unsupervised Learning of Dense Shape Correspondence. CVPR (2019)
Oshri Halimi, Ron Kimmel
Self Functional Maps. CoRR (2018)
Oshri Halimi, Or Litany, Emanuele Rodolà, Alexander M. Bronstein, Ron Kimmel
Self-supervised Learning of Dense Shape Correspondence. CoRR (2018)
Oshri Halimi, Ron Kimmel
Self Functional Maps. 3DV (2018)