Ronald Fedkiw

Ronald Fedkiw

Stanford University

H-index: 71

North America-United States

About Ronald Fedkiw

Ronald Fedkiw, With an exceptional h-index of 71 and a recent h-index of 40 (since 2020), a distinguished researcher at Stanford University, specializes in the field of Computer Graphics, Computer Vision, Computational Physics, Partial Differential Equations.

His recent articles reflect a diverse array of research interests and contributions to the field:

A Neural-Network-Based Approach for Loose-Fitting Clothing

Primal residual reduction with extended position based dynamics and hyperelasticity

A Robust Grid‐Based Meshing Algorithm for Embedding Self‐Intersecting Surfaces

Democratizing the Creation of Animatable Facial Avatars

Addressing discontinuous root-finding for subsequent differentiability in machine learning, inverse problems, and control

Weakly-Supervised 3D Reconstruction of Clothed Humans via Normal Maps

Primal Extended Position Based Dynamics for Hyperelasticity

Obtaining high resolution and dense reconstruction of face from sparse facial markers

Ronald Fedkiw Information

University

Position

Professor of Computer Science

Citations(all)

39478

Citations(since 2020)

8102

Cited By

34509

hIndex(all)

71

hIndex(since 2020)

40

i10Index(all)

126

i10Index(since 2020)

102

Email

University Profile Page

Google Scholar

Ronald Fedkiw Skills & Research Interests

Computer Graphics

Computer Vision

Computational Physics

Partial Differential Equations

Top articles of Ronald Fedkiw

A Neural-Network-Based Approach for Loose-Fitting Clothing

arXiv preprint arXiv:2404.16896

2024/4/25

Yongxu Jin
Yongxu Jin

H-Index: 2

Ronald Fedkiw
Ronald Fedkiw

H-Index: 44

Primal residual reduction with extended position based dynamics and hyperelasticity

Computers & Graphics

2024/4/1

A Robust Grid‐Based Meshing Algorithm for Embedding Self‐Intersecting Surfaces

Computer Graphics Forum

2024/2

Ronald Fedkiw
Ronald Fedkiw

H-Index: 44

Democratizing the Creation of Animatable Facial Avatars

arXiv preprint arXiv:2401.16534

2024/1/29

Addressing discontinuous root-finding for subsequent differentiability in machine learning, inverse problems, and control

Journal of Computational Physics

2024/1/15

Daniel Johnson
Daniel Johnson

H-Index: 9

Ronald Fedkiw
Ronald Fedkiw

H-Index: 44

Weakly-Supervised 3D Reconstruction of Clothed Humans via Normal Maps

arXiv preprint arXiv:2311.16042

2023/11/27

Jane Wu
Jane Wu

H-Index: 6

Ronald Fedkiw
Ronald Fedkiw

H-Index: 44

Primal Extended Position Based Dynamics for Hyperelasticity

2023/11/15

Obtaining high resolution and dense reconstruction of face from sparse facial markers

2023/10/10

Local Geometric Indexing of High Resolution Data for Facial Reconstruction From Sparse Markers

IEEE Transactions on Visualization and Computer Graphics

2023/6/26

Ronald Fedkiw
Ronald Fedkiw

H-Index: 44

Software-based automatic differentiation is flawed

arXiv preprint arXiv:2305.03863

2023/5/5

Deep Energies for Estimating Three-Dimensional Facial Pose and Expression

Communications on Applied Mathematics and Computation

2023/3/27

Analytically integratable zero-restlength springs for capturing dynamic modes unrepresented by quasistatic neural networks

2022/7/27

Yongxu Jin
Yongxu Jin

H-Index: 2

Ronald Fedkiw
Ronald Fedkiw

H-Index: 44

Leveraging Deepfakes to close the domain gap between real and synthetic images in facial capture pipelines

arXiv preprint arXiv:2204.10746

2022/4/22

On obtaining sparse semantic solutions for inverse problems, control, and neural network training

Journal of Computational Physics

2021/10/15

Michael Bao
Michael Bao

H-Index: 4

Ronald Fedkiw
Ronald Fedkiw

H-Index: 44

Three dimensional reconstruction of botanical trees with simulatable geometry

Proceedings of the ACM on Computer Graphics and Interactive Techniques

2021/9/27

Recovering geometric information with learned texture perturbations

Proceedings of the ACM on Computer Graphics and Interactive Techniques

2021/9/27

On-set facial performance capture and transfer to a three-dimensional computer-generated model

2021/7/20

A pixel‐based framework for data‐driven clothing

Computer Graphics Forum

2020/12

Skinning a parameterization of three-dimensional space for neural network cloth

arXiv preprint arXiv:2006.04874

2020/6/8

Jane Wu
Jane Wu

H-Index: 6

Hui Zhou
Hui Zhou

H-Index: 2

Ronald Fedkiw
Ronald Fedkiw

H-Index: 44

Coercing machine learning to output physically accurate results

Journal of Computational Physics

2020/4/1

Daniel Johnson
Daniel Johnson

H-Index: 9

Ronald Fedkiw
Ronald Fedkiw

H-Index: 44

See List of Professors in Ronald Fedkiw University(Stanford University)

Co-Authors

academic-engine