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Tomas Akenine-Möller

Tomas Akenine-Möller

D-Index & Metrics

Computer Science

D-Index
42
Citations
11145
World Ranking
8207
National Ranking
3520

Overview

Tomas Akenine-Möller is affiliated with Nvidia in the United States and has conducted research primarily in the field of computer science. Their work spans multiple subfields including computer vision and pattern recognition, computer graphics and computer-aided design, computational mechanics, biophysics, and cognitive neuroscience.

The scientist's research topics focus extensively on computer graphics and visualization techniques. Additional areas of study include advanced vision and imaging, 3D shape modeling and analysis, advanced image processing techniques, image enhancement techniques, computational geometry and mesh generation, and advanced image and video retrieval techniques.

Notable recent publications by Tomas Akenine-Möller include:

  • "FLIP," 2020, Proceedings of the ACM on Computer Graphics and Interactive Techniques
  • "Understanding SSIM," 2020, arXiv (Cornell University)
  • "Random-Access Neural Compression of Material Textures," 2023, ACM Transactions on Graphics
  • "Visualizing Errors in Rendered High Dynamic Range Images," 2021, Lund University Publications (Lund University)
  • "Scalar Spatiotemporal Blue Noise Masks," 2021, arXiv (Cornell University)

Tomas Akenine-Möller frequently collaborates with several coauthors, including Jim Nilsson, Pontus Andersson, Bartlomiej Wronski, Pontus Ebelin, and Magnus Oskarsson. Their research contributions appear regularly in venues such as arXiv (Cornell University), Proceedings of the ACM on Computer Graphics and Interactive Techniques, ACM Transactions on Graphics, Lund University Publications, and ACM Transactions on Applied Perception.

Best Publications

  • Real-Time Rendering

    Tomas Akenine-Moller;Tomas Moller;Eric Haines

  • Fast 3D triangle-box overlap testing

    Tomas Akenine-Möller

  • Real-Time Rendering, Second Edition

    Eric Haines;Naty Hoffman;Tomas Akenine-Möller

  • A geometry-based soft shadow volume algorithm using graphics hardware

    Ulf Assarsson;Tomas Akenine-Möller

  • Collision Detection for Continuously Deforming Bodies

    Thomas Larsson;Tomas Akenine-Möller

  • Wavelet importance sampling: efficiently evaluating products of complex functions

    Petrik Clarberg;Wojciech Jarosz;Tomas Akenine-Möller;Henrik Wann Jensen

  • Graphics for the masses: a hardware rasterization architecture for mobile phones

    Tomas Akenine-Möller;Jacob Ström

  • iPACKMAN: high-quality, low-complexity texture compression for mobile phones

    Jacob Ström;Tomas Akenine-Möller

  • A dynamic bounding volume hierarchy for generalized collision detection

    Thomas Larsson;Tomas Akenine-Möller

  • Approximate soft shadows on arbitrary surfaces using penumbra wedges

    Tomas Akenine-Möller;Ulf Assarsson

  • FLIP: A Difference Evaluator for Alternating Images

    Pontus Andersson;Jim Nilsson;Tomas Akenine-Möller;Magnus Oskarsson

  • The State of the Art in Mobile Graphics Research

    T. Capin;K. Pulli;T. Akenine-Moller

  • Precomputed local radiance transfer for real-time lighting design

    Anders Wang Kristensen;Tomas Akenine-Möller;Henrik Wann Jensen

  • Stochastic rasterization using time-continuous triangles

    Tomas Akenine-Möller;Jacob Munkberg;Jon Hasselgren

  • Graphics Processing Units for Handhelds

    T. Akenine-Moller;J. Strom

  • Real-Time Rendering, Third Edition

    Tomas Akenine-Möller;Eric Haines;Naty Hoffman

  • Method and apparatus for image processing

    Timo Aila;Tomas Akenine-Moller

  • Soft shadow volumes for ray tracing

    Samuli Laine;Timo Aila;Ulf Assarsson;Jaakko Lehtinen

  • An optimized soft shadow volume algorithm with real-time performance

    Ulf Assarsson;Michael Dougherty;Michael Mounier;Tomas Akenine-Möller

  • High dynamic range texture compression for graphics hardware

    Jacob Munkberg;Petrik Clarberg;Jon Hasselgren;Tomas Akenine-Möller

  • Understanding SSIM.

    Jim Nilsson;Tomas Akenine-Möller

Frequent Co-Authors

Henrik Wann Jensen
Henrik Wann Jensen University of California, San Diego
Timo Aila
Timo Aila Aalto University
Samuli Laine
Samuli Laine Nvidia (United States)
Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Ingo Wald
Ingo Wald Nvidia (United States)
Matthias Zwicker
Matthias Zwicker University of Maryland, College Park
Peter Shirley
Peter Shirley Nvidia (United States)
Wojciech Jarosz
Wojciech Jarosz Dartmouth College
Mark D. Fairchild
Mark D. Fairchild Rochester Institute of Technology

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