World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
33
Citations
6592
World Ranking
12468
National Ranking
5058

Overview

Scott Schaefer is affiliated with Texas A&M University in the United States and conducts research primarily at the intersection of engineering and computer science. Their work spans several specialized subfields, including computational mechanics, computer graphics and computer-aided design, computer vision and pattern recognition, mechanical engineering, and geology.

The scientist has contributed to topics such as 3D shape modeling and analysis, computer graphics and visualization techniques, advanced numerical analysis techniques, optical measurement and interference techniques, computational geometry and mesh generation, tribology and lubrication engineering, and surface roughness and optical measurements.

Schaefer's recent research outputs include papers published from 2020 through 2024, highlighting an ongoing focus on geometry processing and shape modeling. These papers are:

  • Low Rank Matrix Approximation for 3D Geometry Filtering, 2020, IEEE Transactions on Visualization and Computer Graphics
  • Geometric Modeling and Processing, 2021, IEEE Computer Graphics and Applications
  • Neural Parametric Surfaces for Shape Modeling, 2023, arXiv (Cornell University)
  • Surface Extraction from Neural Unsigned Distance Fields, 2023, arXiv (Cornell University)
  • SolidGS: Consolidating Gaussian Surfel Splatting for Sparse-View Surface Reconstruction, 2024, arXiv (Cornell University)

Frequent coauthors with whom Schaefer has collaborated include Wenping Wang, Yongqing Liang, Congyi Zhang, Guying Lin, and John Keyser. These collaborations suggest an active engagement within a research network focused on computational geometry and computer graphics.

The main publication venues for Schaefer's work are primarily prominent academic journals and repositories that include arXiv (Cornell University), IEEE Transactions on Visualization and Computer Graphics, IEEE Computer Graphics and Applications, and ACM Transactions on Graphics.

Best Publications

  • Dual contouring of hermite data

    Tao Ju;Frank Losasso;Scott Schaefer;Joe Warren

  • Image deformation using moving least squares

    Scott Schaefer;Travis McPhail;Joe Warren

  • Mean value coordinates for closed triangular meshes

    Tao Ju;Scott Schaefer;Joe Warren

  • Barycentric coordinates for convex sets

    Joe Warren;Scott Schaefer;Anil Nirmal Hirani;Mathieu Desbrun

  • Bijective parameterization with free boundaries

    Jason Smith;Scott Schaefer

  • Mesh denoising via L0 minimization

    Lei He;Scott Schaefer

  • Dual Marching Cubes: Primal Contouring of Dual Grids

    Scott Schaefer;Joe D. Warren

  • Approximating Catmull-Clark subdivision surfaces with bicubic patches

    Charles Loop;Scott Schaefer

  • Denoising point sets via L 0 minimization

    Yujing Sun;Scott Schaefer;Wenping Wang

  • Streaming surface reconstruction using wavelets

    J. Manson;G. Petrova;S. Schaefer

  • Example-based skeleton extraction

    S. Schaefer;C. Yuksel

  • Manifold Dual Contouring

    S. Schaefer;T. Ju;J. Warren

  • Approximating subdivision surfaces with Gregory patches for hardware tessellation

    Charles Loop;Scott Schaefer;Tianyun Ni;Ignacio Castaño

  • Smooth geometry images

    F. Losasso;H. Hoppe;S. Schaefer;J. Warren

  • Parameterization and applications of Catmull-Rom curves

    Cem Yuksel;Scott Schaefer;John Keyser

  • A subdivision scheme for hexahedral meshes

    Chandrajit L. Bajaj;Scott Schaefer;Joe D. Warren;Guoliang Xu

  • Lofting curve networks using subdivision surfaces

    S. Schaefer;J. Warren;D. Zorin

  • Hair meshes

    Cem Yuksel;Scott Schaefer;John Keyser

  • Low Rank Matrix Approximation for 3D Geometry Filtering.

    Xuequan Lu;Scott Schaefer;Jun Luo;Lizhuang Ma

  • Simplicial complex augmentation framework for bijective maps

    Zhongshi Jiang;Scott Schaefer;Daniele Panozzo

  • Triangle surfaces with discrete equivalence classes

    Mayank Singh;Scott Schaefer

Frequent Co-Authors

Tao Ju
Tao Ju Washington University in St. Louis
Mathieu Desbrun
Mathieu Desbrun California Institute of Technology
Jun Luo
Jun Luo Nanyang Technological University
Ying He
Ying He Nanyang Technological University
Wenping Wang
Wenping Wang Texas A&M University
Jarek Rossignac
Jarek Rossignac Georgia Institute of Technology
Lizhuang Ma
Lizhuang Ma Shanghai Jiao Tong University
Denis Zorin
Denis Zorin New York University
Hugues Hoppe
Hugues Hoppe Google (United States)
Chandrajit L. Bajaj
Chandrajit L. Bajaj The University of Texas at Austin

If you think any of the details on this page are incorrect, let us know.

Report an issue

We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below:

Related Online Degrees & Career Pathways

Exploring online degrees can offer students in Computer Science greater flexibility, faster pacing, and in many cases, lower costs. For professionals eager to advance quickly, quick masters degrees online let you earn valuable credentials in a short timeframe while balancing work commitments.

When planning your education, it’s important to consider which programs lead to high-demand jobs. Review a list of the most valuable masters degrees to make informed choices about your future career. For those looking for an accessible entry point, 2 year online degrees provide foundational skills and are a pathway to both employment and further study.

Affordability matters too. With affordable online colleges, you can reduce financial barriers and focus more on growing your skill set. Exploring these options can help you find the best fit for your career goals and budget.

Best Scientists Citing Scott Schaefer

Trending Scientists