H-Index & Metrics Top Publications

H-Index & Metrics

Discipline name H-index Citations Publications World Ranking National Ranking
Computer Science H-index 32 Citations 7,533 119 World Ranking 7204 National Ranking 356

Overview

What is he best known for?

The fields of study he is best known for:

  • Artificial intelligence
  • Computer vision
  • Algorithm

The scientist’s investigation covers issues in Artificial intelligence, Computer vision, Rendering, Algorithm and Animation. His Facial expression, Eye tracking and Computer graphics study in the realm of Artificial intelligence connects with subjects such as Facial motion capture. His Computer vision research is multidisciplinary, relying on both Advanced driver assistance systems and Visibility.

His Rendering study is associated with Computer graphics. His work deals with themes such as Discretization, Planar, Bounded function and Oracle, which intersect with Algorithm. His Animation research includes themes of Drag, Turbulence, Simulation and Boundary value problem.

His most cited work include:

  • FaceVR: Real-Time Gaze-Aware Facial Reenactment in Virtual Reality (63 citations)
  • Animation of open water phenomena with coupled shallow water and free surface simulations (60 citations)
  • Three-dimensional analysis of changes of the malar-midfacial region after LeFort I osteotomy and maxillary advancement. (52 citations)

What are the main themes of his work throughout his whole career to date?

Marc Stamminger mainly focuses on Artificial intelligence, Computer vision, Computer graphics, Rendering and Computer graphics. His Artificial intelligence study frequently draws connections to adjacent fields such as Computation. His Computer vision study integrates concerns from other disciplines, such as Visualization and Polygon mesh.

His Rendering research integrates issues from Algorithm, Graphics, Software rendering and Subdivision surface. His biological study spans a wide range of topics, including Facial expression, Virtual reality and Gaze. The concepts of his Tessellation study are interwoven with issues in Tessellation and Displacement mapping.

He most often published in these fields:

  • Artificial intelligence (50.68%)
  • Computer vision (48.65%)
  • Computer graphics (32.43%)

What were the highlights of his more recent work (between 2018-2021)?

  • Artificial intelligence (50.68%)
  • Computer vision (48.65%)
  • Rendering (32.43%)

In recent papers he was focusing on the following fields of study:

His scientific interests lie mostly in Artificial intelligence, Computer vision, Rendering, Computer graphics and Augmented reality. His Artificial intelligence study frequently draws connections between related disciplines such as Motion. His multidisciplinary approach integrates Computer vision and TRACE in his work.

His studies examine the connections between Rendering and genetics, as well as such issues in Virtual reality, with regards to Software engineering, Software and Compiler. His work focuses on many connections between Computer graphics and other disciplines, such as Visualization, that overlap with his field of interest in Interface. The various areas that Marc Stamminger examines in his Augmented reality study include Physically based rendering, Light field, Embedded system and Data visualization.

Between 2018 and 2021, his most popular works were:

  • Image-guided Neural Object Rendering (17 citations)
  • [Wearables in the treatment of neurological diseases-where do we stand today?] (6 citations)
  • Gradient-Based Illumination Description for Image Forgery Detection (5 citations)

In his most recent research, the most cited papers focused on:

  • Artificial intelligence
  • Computer vision
  • Algorithm

His primary areas of investigation include Computer vision, Artificial intelligence, Rendering, Photogrammetry and Deformation. His Computer vision study frequently links to related topics such as Vector field. His Virtual reality, Contrast, Solid modeling, Image processing and Object study are his primary interests in Artificial intelligence.

His work on Path tracing as part of his general Rendering study is frequently connected to Stability, thereby bridging the divide between different branches of science. His Photogrammetry study combines topics in areas such as Bidirectional reflectance distribution function and Reflectivity. His studies deal with areas such as Artificial neural network, Image warping and Digital reproduction as well as RGB color model.

This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.

Top Publications

Real-time 3D reconstruction at scale using voxel hashing

Matthias Nießner;Michael Zollhöfer;Shahram Izadi;Marc Stamminger.
international conference on computer graphics and interactive techniques (2013)

598 Citations

Face2Face: Real-Time Face Capture and Reenactment of RGB Videos

Justus Thies;Michael Zollhofer;Marc Stamminger;Christian Theobalt.
computer vision and pattern recognition (2016)

582 Citations

Perspective shadow maps

Marc Stamminger;George Drettakis.
international conference on computer graphics and interactive techniques (2002)

461 Citations

Reflective shadow maps

Carsten Dachsbacher;Marc Stamminger.
interactive 3d graphics and games (2005)

366 Citations

Real-time non-rigid reconstruction using an RGB-D camera

Michael Zollhöfer;Matthias Nießner;Shahram Izadi;Christoph Rehmann.
international conference on computer graphics and interactive techniques (2014)

343 Citations

Sequential point trees

Carsten Dachsbacher;Christian Vogelgsang;Marc Stamminger.
international conference on computer graphics and interactive techniques (2003)

308 Citations

Interactive visualization of complex plant ecosystems

Oliver Deussen;Carsten Colditz;Marc Stamminger;George Drettakis.
ieee visualization (2002)

263 Citations

Face2Face: real-time face capture and reenactment of RGB videos

Justus Thies;Michael Zollhöfer;Marc Stamminger;Christian Theobalt.
Communications of The ACM (2018)

241 Citations

Exploiting Visual Artifacts to Expose Deepfakes and Face Manipulations

Falko Matern;Christian Riess;Marc Stamminger.
2019 IEEE Winter Applications of Computer Vision Workshops (WACVW) (2019)

239 Citations

Real-time expression transfer for facial reenactment

Justus Thies;Michael Zollhöfer;Matthias Nießner;Levi Valgaerts.
international conference on computer graphics and interactive techniques (2015)

203 Citations

Profile was last updated on December 6th, 2021.
Research.com Ranking is based on data retrieved from the Microsoft Academic Graph (MAG).
The ranking h-index is inferred from publications deemed to belong to the considered discipline.

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Top Scientists Citing Marc Stamminger

Christian Theobalt

Christian Theobalt

Max Planck Institute for Informatics

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Matthias Nießner

Matthias Nießner

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Facebook (United States)

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Hans-Peter Seidel

Hans-Peter Seidel

Max Planck Institute for Informatics

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Hao Li

Hao Li

University of California, Berkeley

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Michael Wimmer

Michael Wimmer

TU Wien

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Shahram Izadi

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Google (United States)

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Stefanos Zafeiriou

Stefanos Zafeiriou

Imperial College London

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Marc Pollefeys

Marc Pollefeys

ETH Zurich

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Jan Kautz

Jan Kautz

Nvidia (United States)

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Carsten Dachsbacher

Carsten Dachsbacher

Karlsruhe Institute of Technology

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Daniel Cremers

Daniel Cremers

Technical University of Munich

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George Drettakis

George Drettakis

French Institute for Research in Computer Science and Automation - INRIA

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Philip H. S. Torr

Philip H. S. Torr

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Michael J. Black

Michael J. Black

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