World's Best Scientists 2026 revealed!
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Computer Science
Saudi Arabia
2026

D-Index & Metrics

Computer Science

D-Index
78
Citations
22794
World Ranking
1210
National Ranking
7

Research.com Recognitions

  • 2026 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2025 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2023 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2022 - Research.com Computer Science in Saudi Arabia Leader Award
  • 2021 - IEEE Fellow For contributions to high dynamic range display and computational cameras

Overview

Wolfgang Heidrich is affiliated with King Abdullah University of Science and Technology in Saudi Arabia. Their research spans multiple fields including engineering, physics and astronomy, and computer science, with significant contributions to subfields such as computer vision and pattern recognition, atomic and molecular physics and optics, media technology, biomedical engineering, and radiology, nuclear medicine, and imaging.

The researcher's main topics of work cover a variety of advanced imaging and optical technologies. These include:

  • Advanced Vision and Imaging
  • Advanced Optical Imaging Technologies
  • Digital Holography and Microscopy
  • Optical Measurement and Interference Techniques
  • Image Enhancement Techniques
  • Advanced X-ray Imaging Techniques
  • Advanced Optical System Design

Wolfgang Heidrich has contributed to frequent publication venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Optics Express
  • IEEE Transactions on Computational Imaging
  • Adaptive Optics Systems VIII

Their recent papers include:

  • "End-to-end complex lens design with differentiate ray tracing," 2021, ACM Transactions on Graphics
  • "Single-shot Hyperspectral-Depth Imaging with Learned Diffractive Optics," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "dO: A Differentiable Engine for Deep Lens Design of Computational Imaging Systems," 2022, IEEE Transactions on Computational Imaging
  • "IntraTomo: Self-supervised Learning-based Tomography via Sinogram Synthesis and Prediction," 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • "End-to-end Learned, Optically Coded Super-resolution SPAD Camera," 2020, ACM Transactions on Graphics

The scientist frequently collaborates with the following co-authors:

  • Qiang Fu
  • Congli Wang
  • Ni Chen
  • Ramzi Idoughi
  • Xinge Yang

Wolfgang Heidrich was recognized as an IEEE Fellow in 2021 for contributions to high dynamic range display and computational cameras.

Best Publications

  • High Dynamic Range Imaging: Acquisition, Display, and Image-Based Lighting

    Erik Reinhard;Greg Ward;Summant Pattanaik;Paul Debevec

  • High dynamic range display systems

    Helge Seetzen;Wolfgang Heidrich;Wolfgang Stuerzlinger;Greg Ward

  • HDR-VDP-2: a calibrated visual metric for visibility and quality predictions in all luminance conditions

    Rafał Mantiuk;Kil Joong Kim;Allan G. Rempel;Wolfgang Heidrich

  • Deep Video Deblurring for Hand-Held Cameras

    Shuochen Su;Mauricio Delbracio;Jue Wang;Guillermo Sapiro

  • Hybrid optical-electronic convolutional neural networks with optimized diffractive optics for image classification.

    Julie Chang;Vincent Sitzmann;Xiong Dun;Wolfgang Heidrich

  • Viewpoint Selection using Viewpoint Entropy

    Pere-Pau Vázquez;Miquel Feixas;Mateu Sbert;Wolfgang Heidrich

  • Image-based reconstruction of spatial appearance and geometric detail

    Hendrik P. A. Lensch;Jan Kautz;Michael Goesele;Wolfgang Heidrich

  • End-to-end optimization of optics and image processing for achromatic extended depth of field and super-resolution imaging

    Vincent Sitzmann;Steven Diamond;Yifan Peng;Xiong Dun

  • Real-time generation of continuous levels of detail for height fields

    Stefan Röttger;Wolfgang Heidrich;Philipp Slusallek;Hans-Peter Seidel

  • Realistic, hardware-accelerated shading and lighting

    Wolfgang Heidrich;Hans-Peter Seidel

  • FlexISP: a flexible camera image processing framework

    Felix Heide;Markus Steinberger;Yun-Ta Tsai;Mushfiqur Rouf

  • High resolution passive facial performance capture

    Derek Bradley;Wolfgang Heidrich;Tiberiu Popa;Alla Sheffer

  • Displacement interpolation using Lagrangian mass transport

    Nicolas Bonneel;Michiel van de Panne;Sylvain Paris;Wolfgang Heidrich

  • Fast and flexible convolutional sparse coding

    Felix Heide;Wolfgang Heidrich;Gordon Wetzstein

  • Layered 3D: tomographic image synthesis for attenuation-based light field and high dynamic range displays

    Gordon Wetzstein;Douglas Lanman;Wolfgang Heidrich;Ramesh Raskar

  • Time-resolved 3d capture of non-stationary gas flows

    Bradley Atcheson;Ivo Ihrke;Wolfgang Heidrich;Art Tevs

  • Accurate multi-view reconstruction using robust binocular stereo and surface meshing

    D. Bradley;T. Boubekeur;W. Heidrich

  • High-quality computational imaging through simple lenses

    Felix Heide;Mushfiqur Rouf;Matthias B. Hullin;Bjorn Labitzke

  • An evaluation of optical flow algorithms for background oriented schlieren imaging

    Bradley Atcheson;Wolfgang Heidrich;Ivo Ihrke

  • Ldr2Hdr: on-the-fly reverse tone mapping of legacy video and photographs

    Allan G. Rempel;Matthew Trentacoste;Helge Seetzen;H. David Young

  • Low-budget transient imaging using photonic mixer devices

    Felix Heide;Matthias B. Hullin;James Gregson;Wolfgang Heidrich

Frequent Co-Authors

Hans-Peter Seidel
Hans-Peter Seidel Max Planck Institute for Informatics
Gordon Wetzstein
Gordon Wetzstein Stanford University
Felix Heide
Felix Heide Princeton University
Hendrik P. A. Lensch
Hendrik P. A. Lensch University of Tübingen
Michael Goesele
Michael Goesele Technical University of Darmstadt
Rafal Mantiuk
Rafal Mantiuk University of Cambridge
Jan Kautz
Jan Kautz Nvidia (United States)
Derek Bradley
Derek Bradley Walt Disney (United States)
Philipp Slusallek
Philipp Slusallek Saarland University

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