World's Best Scientists 2026 revealed!
Markus Gross

Markus Gross

Award Badge
Computer Science
Switzerland
2026

D-Index & Metrics

Computer Science

D-Index
112
Citations
46268
World Ranking
209
National Ranking
8

Research.com Recognitions

  • 2026 - Research.com Computer Science in Switzerland Leader Award
  • 2025 - Research.com Computer Science in Switzerland Leader Award
  • 2023 - Research.com Computer Science in Switzerland Leader Award
  • 2022 - Research.com Computer Science in Switzerland Leader Award
  • 2012 - ACM Fellow For contributions to computer graphics and animation.

Overview

Markus Gross is affiliated with ETH Zurich in Switzerland and has an extensive publication record spanning multiple domains within computer science and engineering. Their research focuses on areas including computer vision, computational mechanics, computer graphics, and artificial intelligence.

Their recent publications cover a range of topics and were published in highly regarded venues. Selected recent papers include:

  • "Lagrangian neural style transfer for fluids," 2020, ACM Transactions on Graphics
  • "A Fluid Flow Data Set for Machine Learning and its Application to Neural Flow Map Interpolation," 2020, IEEE Transactions on Visualization and Computer Graphics
  • "Neural frame interpolation for rendered content," 2021, ACM Transactions on Graphics
  • "Affective State Prediction from Smartphone Touch and Sensor Data in the Wild," 2022, CHI Conference on Human Factors in Computing Systems
  • "Lossy Image Compression with Normalizing Flows," 2020, arXiv (Cornell University)

The primary fields of study for Markus Gross include:

  • Computer Science
  • Engineering

Subfields of expertise further detail their research interests as:

  • Computer Vision and Pattern Recognition
  • Computational Mechanics
  • Computer Graphics and Computer-Aided Design
  • Artificial Intelligence
  • Control and Systems Engineering

The main topics covered in their work encompass:

  • 3D Shape Modeling and Analysis
  • Face Recognition and Analysis
  • Computer Graphics and Visualization Techniques
  • Generative Adversarial Networks and Image Synthesis
  • Advanced Vision and Imaging
  • Advanced Image Processing Techniques
  • Human Motion and Animation

Markus Gross has collaborated frequently with several co-authors, including:

  • Barbara Solenthaler
  • Gaspard Zoss
  • Prashanth Chandran
  • Derek Bradley
  • Christopher Schroers

The scientist's contributions have been published in notable venues such as:

  • arXiv (Cornell University)
  • Computer Graphics Forum
  • ACM Transactions on Graphics
  • Eurographics
  • International Journal of Computer Assisted Radiology and Surgery

Among their recognitions, Markus Gross was named an ACM Fellow in 2012 for contributions to computer graphics and animation.

Best Publications

  • A Benchmark Dataset and Evaluation Methodology for Video Object Segmentation

    F. Perazzi;J. Pont-Tuset;B. McWilliams;L. Van Gool

  • Particle-based fluid simulation for interactive applications

    Matthias Müller;David Charypar;Markus Gross

  • Surfels: surface elements as rendering primitives

    Hanspeter Pfister;Matthias Zwicker;Jeroen van Baar;Markus Gross

  • Efficient simplification of point-sampled surfaces

    Mark Pauly;Markus Gross;Leif P. Kobbelt

  • Surface splatting

    Matthias Zwicker;Hanspeter Pfister;Jeroen van Baar;Markus Gross

  • Meshless deformations based on shape matching

    Matthias Müller;Bruno Heidelberger;Matthias Teschner;Markus Gross

  • Multi-scale Feature Extraction on Point-Sampled Surfaces

    Mark Pauly;Richard Keiser;Markus H. Gross

  • Optimized Spatial Hashing for Collision Detection of Deformable Objects.

    Matthias Teschner;Bruno Heidelberger;Matthias Müller;Danat Pomerantes

  • Shape modeling with point-sampled geometry

    Mark Pauly;Richard Keiser;Leif P. Kobbelt;Markus Gross

  • Interactive virtual materials

    Matthias Müller;Markus Gross

  • Algebraic point set surfaces

    Gaël Guennebaud;Markus Gross

  • Point based animation of elastic, plastic and melting objects

    M. Müller;R. Keiser;A. Nealen;M. Pauly

  • Simulating facial surgery using finite element models

    Rolf M. Koch;Markus H. Gross;Friedrich R. Carls;Daniel F. von Büren

  • Nonlinear disparity mapping for stereoscopic 3D

    Manuel Lang;Alexander Hornung;Oliver Wang;Steven Poulakos

  • Towards Better Understanding of Gradient-based Attribution Methods for Deep Neural Networks

    Marco Ancona;Enea Ceolini;Cengiz Öztireli;Markus Gross

  • Feature Preserving Point Set Surfaces based on Non-Linear Kernel Regression

    A. Cengiz Öztireli;Gaël Guennebaud;Markus H. Gross

  • Scene reconstruction from high spatio-angular resolution light fields

    Changil Kim;Henning Zimmer;Yael Pritch;Alexander Sorkine-Hornung

  • Deep Fluids: A Generative Network for Parameterized Fluid Simulations

    Byungsoo Kim;Vinicius C. Azevedo;Nils Thuerey;Theodore Kim

  • Microstructures to control elasticity in 3D printing

    Christian Schumacher;Bernd Bickel;Jan Rys;Steve Marschner

  • blue-c: a spatially immersive display and 3D video portal for telepresence

    Markus Gross;Stephan Würmlin;Martin Naef;Edouard Lamboray

  • Pointshop 3D: an interactive system for point-based surface editing

    Matthias Zwicker;Mark Pauly;Oliver Knoll;Markus Gross

  • Practical motion capture in everyday surroundings

    Daniel Vlasic;Rolf Adelsberger;Giovanni Vannucci;John Barnwell

  • Proceedings of IEEE Visualization '99

    David S. Ebert;Markus Gross;Bernd Hamann

Frequent Co-Authors

Bernd Bickel
Bernd Bickel ETH Zurich
Hanspeter Pfister
Hanspeter Pfister Harvard University
Miguel A. Otaduy
Miguel A. Otaduy King Juan Carlos University
Derek Bradley
Derek Bradley Walt Disney (United States)
Mark Pauly
Mark Pauly École Polytechnique Fédérale de Lausanne
Matthias Teschner
Matthias Teschner University of Freiburg
Oliver Wang
Oliver Wang Adobe Systems (United States)

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