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Computer Science

D-Index
53
Citations
11198
World Ranking
4827
National Ranking
2245

Overview

Yaron Lipman is affiliated with Facebook in the United States. Their research primarily focuses on areas within Computer Science and Engineering, with a significant body of work in subfields such as Computer Vision and Pattern Recognition, Computational Mechanics, and Artificial Intelligence.

The scientist's published work includes contributions to topics like 3D Shape Modeling and Analysis, Generative Adversarial Networks and Image Synthesis, and Computer Graphics and Visualization Techniques. Additional research interests encompass Advanced Numerical Analysis Techniques, Advanced Graph Neural Networks, Human Pose and Action Recognition, and Music and Audio Processing.

Some of the frequent co-authors with whom Yaron Lipman has collaborated are Matan Atzmon, Neta Shaul, Heli Ben-Hamu, Lior Yariv, and Ricky T. Q. Chen. These collaborative efforts have contributed to a diverse range of publications.

The scientist has published extensively in venues such as arXiv (Cornell University), which hosts a majority of their papers, alongside other venues including the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR) and the Proceedings of symposia in applied mathematics.

Representative recent publications include:

  • Flow Matching for Generative Modeling, 2022, arXiv (Cornell University)
  • Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance, 2020, arXiv (Cornell University)
  • MultiDiffusion: Fusing Diffusion Paths for Controlled Image Generation, 2023, arXiv (Cornell University)
  • Implicit Geometric Regularization for Learning Shapes, 2020, arXiv (Cornell University)
  • Weisfeiler and Leman go Machine Learning: The Story so far, 2021, arXiv (Cornell University)

Best Publications

  • Laplacian surface editing

    O. Sorkine;D. Cohen-Or;Y. Lipman;M. Alexa

  • Point convolutional neural networks by extension operators

    Matan Atzmon;Haggai Maron;Yaron Lipman

  • Blended intrinsic maps

    Vladimir G. Kim;Yaron Lipman;Thomas Funkhouser

  • Green Coordinates

    Yaron Lipman;David Levin;Daniel Cohen-Or

  • Linear rotation-invariant coordinates for meshes

    Yaron Lipman;Olga Sorkine;David Levin;Daniel Cohen-Or

  • Möbius voting for surface correspondence

    Yaron Lipman;Thomas Funkhouser

  • Differential coordinates for interactive mesh editing

    Y. Lipman;O. Sorkine;D. Cohen-Or;D. Levin

  • SAL: Sign Agnostic Learning of Shapes From Raw Data

    Matan Atzmon;Yaron Lipman

  • Coordinates for instant image cloning

    Zeev Farbman;Gil Hoffer;Yaron Lipman;Daniel Cohen-Or

  • Parameterization-free projection for geometry reconstruction

    Yaron Lipman;Daniel Cohen-Or;David Levin;Hillel Tal-Ezer

  • Convolutional neural networks on surfaces via seamless toric covers

    Haggai Maron;Meirav Galun;Noam Aigerman;Miri Trope

  • Differential Coordinates for Interactive Mesh Editing

    Yaron Lipman;Olga Sorkine;Daniel Cohen-Or;David Levin

  • Comparing Dirichlet Normal Surface Energy of Tooth Crowns, a New Technique of Molar Shape Quantification for Dietary Inference, With Previous Methods in Isolation and in Combination

    Jonathan M. Bunn;Doug M. Boyer;Doug M. Boyer;Yaron Lipman;Elizabeth M. St. Clair

  • Biharmonic distance

    Yaron Lipman;Raif M. Rustamov;Thomas A. Funkhouser

  • Algorithms to automatically quantify the geometric similarity of anatomical surfaces

    Doug M. Boyer;Doug M. Boyer;Yaron Lipman;Elizabeth St Clair;Jesus Puente

  • Flow Matching for Generative Modeling

    Unknown

  • Context-Aware Skeletal Shape Deformation

    Ofir Weber;Olga Sorkine;Yaron Lipman;Craig Gotsman

  • Bounded distortion mapping spaces for triangular meshes

    Yaron Lipman

  • GPU-assisted positive mean value coordinates for mesh deformations

    Yaron Lipman;Johannes Kopf;Daniel Cohen-Or;David Levin

  • Provably Powerful Graph Networks

    Haggai Maron;Heli Ben-Hamu;Hadar Serviansky;Yaron Lipman

  • Invariant and Equivariant Graph Networks

    Haggai Maron;Heli Ben-Hamu;Nadav Shamir;Yaron Lipman

  • On the Universality of Invariant Networks

    Haggai Maron;Ethan Fetaya;Nimrod Segol;Yaron Lipman

  • Laplacian Surface Editing

    Olga Sorkine;Yaron Lipman;Daniel Cohen-Or;Marc Alexa

  • Multiview Neural Surface Reconstruction by Disentangling Geometry and Appearance

    Lior Yariv;Yoni Kasten;Dror Moran;Meirav Galun

Frequent Co-Authors

Daniel Cohen-Or
Daniel Cohen-Or Tel Aviv University
Ronen Basri
Ronen Basri Weizmann Institute of Science
Ingrid Daubechies
Ingrid Daubechies Duke University
Thomas Funkhouser
Thomas Funkhouser Google (United States)
Olga Sorkine
Olga Sorkine ETH Zurich
Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Vladimir G. Kim
Vladimir G. Kim Adobe Systems (United States)
Jukka Jernvall
Jukka Jernvall University of Helsinki
Marc Alexa
Marc Alexa Technical University of Berlin
Tal Hassner
Tal Hassner Facebook (United States)

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