World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
59
Citations
21083
World Ranking
3345
National Ranking
1621

Research.com Recognitions

  • 2017 - IEEE Fellow For contributions to GPU computing and computer graphics
  • 2009 - ACM Senior Member

Overview

David Luebke is affiliated with Nvidia in the United States. Their research encompasses multiple fields including computer science and neuroscience, with a primary focus on computer vision and pattern recognition as well as cognitive neuroscience. The scientist's work spans a range of topics centered on visual attention, imaging, perception, and sensory interactions.

Luebke's main topics of research include:

  • Visual Attention and Saliency Detection
  • Advanced Vision and Imaging
  • Visual Perception and Processing Mechanisms
  • Tactile and Sensory Interactions
  • Image and Video Quality Assessment
  • Computer Graphics and Visualization Techniques
  • Face Recognition and Analysis

Their frequent coauthors have been Vasha DuTell, Bruce Walter, Ruth Rosenholtz, Peter Shirley, and Morgan McGuire, each collaborating on three publications. This collaborative network is reflected in research outputs across various high-impact venues.

Luebke's publications commonly appear in the following venues:

  • arXiv (Cornell University)
  • IEEE Transactions on Visualization and Computer Graphics
  • Optics Express
  • ACM Transactions on Applied Perception
  • Journal of Vision

Selected recent papers illustrate the scope and focus of their research:

  • "Toward Standardized Classification of Foveated Displays," 2020, IEEE Transactions on Visualization and Computer Graphics
  • "Eccentricity Effects on Blur and Depth Perception," 2020, Optics Express
  • "Efficient Dataflow Modeling of Peripheral Encoding in the Human Visual System," 2022, ACM Transactions on Applied Perception
  • "Gaze-Sensing LEDs for Head Mounted Displays," 2020, arXiv (Cornell University)
  • "Avatar Fingerprinting for Authorized Use of Synthetic Talking-Head Videos," 2023, arXiv (Cornell University)

David Luebke has been recognized as an IEEE Fellow in 2017 for contributions to GPU computing and computer graphics and was named an ACM Senior Member in 2009. Their research integrates foundational and applied approaches to visual cognition, graphics technology, and sensory processing systems, often advancing the understanding of human-computer interaction in immersive and image-processing environments.

Best Publications

  • A Survey of General-Purpose Computation on Graphics Hardware

    John D. Owens;David Luebke;Naga Govindaraju;Mark Harris

  • GPU Computing

    J.D. Owens;M. Houston;D. Luebke;S. Green

  • Level of Detail for 3D Graphics

    David Luebke;Martin Reddy;Jonathan D. Cohen;Amitabh Varshney

  • OptiX: a general purpose ray tracing engine

    Steven G. Parker;James Bigler;Andreas Dietrich;Heiko Friedrich

  • View-dependent simplification of arbitrary polygonal environments

    David Luebke;Carl Erikson

  • A developer's survey of polygonal simplification algorithms

    D.P. Luebke

  • Fast BVH Construction on GPUs

    Christian Lauterbach;Michael Garland;Shubhabrata Sengupta;David P. Luebke

  • Towards foveated rendering for gaze-tracked virtual reality

    Anjul Patney;Marco Salvi;Joohwan Kim;Anton Kaplanyan

  • Near-eye light field displays

    Douglas Lanman;David Luebke

  • Portals and mirrors: simple, fast evaluation of potentially visible sets

    David Luebke;Chris Georges

  • The light field stereoscope

    Fu-Chung Huang;David Luebke;Gordon Wetzstein

  • GPGPU: general-purpose computation on graphics hardware

    David Luebke;Mark Harris;Naga Govindaraju;Aaron Lefohn

  • GPGPU: general purpose computation on graphics hardware

    David Luebke;Mark Harris;Jens Krüger;Tim Purcell

  • A multigrid solver for boundary value problems using programmable graphics hardware

    Nolan Goodnight;Cliff Woolley;Gregory Lewin;David Luebke

  • CUDA: Scalable parallel programming for high-performance scientific computing

    D. Luebke

  • How GPUs Work

    D. Luebke;G. Humphreys

  • Perceptually driven simplification for interactive rendering

    David P. Luebke;Benjamin Hallen

  • A high-accuracy, low-cost localization system for wireless sensor networks

    Radu Stoleru;Tian He;John A. Stankovic;David Luebke

  • A multigrid solver for boundary value problems using programmable graphics hardware

    Nolan Goodnight;Cliff Woolley;Gregory Lewin;David Luebke

  • Near-eye microlens array displays

    David Patrick Luebke;Douglas Lanman;Thomas F. Fox;Gerrit Slavenburg

Frequent Co-Authors

Peter Shirley
Peter Shirley Nvidia (United States)
Samuli Laine
Samuli Laine Nvidia (United States)
Timo Aila
Timo Aila Aalto University
Jan Kautz
Jan Kautz Nvidia (United States)
Kevin Skadron
Kevin Skadron University of Virginia
Aaron Lefohn
Aaron Lefohn Nvidia (United States)
Michael Garland
Michael Garland Nvidia (United States)
John D. Owens
John D. Owens University of California, Davis
Amitabh Varshney
Amitabh Varshney University of Maryland, College Park
Rui Wang
Rui Wang Zhejiang University

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