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D-Index & Metrics

Computer Science

D-Index
81
Citations
24508
World Ranking
1032
National Ranking
549

Research.com Recognitions

  • 2018 - Fellow of Alfred P. Sloan Foundation

Overview

Gordon Wetzstein was affiliated with Stanford University in the United States. Their research spanned multiple areas within computer science and engineering, with a particular focus on computer vision, computer graphics, optics, and advanced imaging technologies. Their scholarly output included over 360 publications across related fields.

The main fields of study for Wetzstein included:

  • Computer Science
  • Engineering

Within these fields, they specialized in subfields such as:

  • Computer Vision and Pattern Recognition
  • Computer Graphics and Computer-Aided Design
  • Media Technology
  • Computational Mechanics
  • Atomic and Molecular Physics, and Optics

Wetzstein's research topics focused on areas including:

  • Computer Graphics and Visualization Techniques
  • Advanced Vision and Imaging
  • Advanced Optical Imaging Technologies
  • 3D Shape Modeling and Analysis
  • Generative Adversarial Networks and Image Synthesis
  • Virtual Reality Applications and Impacts
  • Advanced Optical Sensing Technologies

Among their recent papers were:

  • Efficient Geometry-aware 3D Generative Adversarial Networks, 2022, presented at the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)
  • Inference in artificial intelligence with deep optics and photonics, 2020, published in Nature
  • Neural holography with camera-in-the-loop training, 2020, published in ACM Transactions on Graphics
  • Toward the next-generation VR/AR optics: a review of holographic near-eye displays from a human-centric perspective, 2020, published in Optica
  • Advances in Neural Rendering, 2022, published in Computer Graphics Forum

Wetzstein collaborated frequently with various researchers, including:

  • Leonidas Guibas
  • David B. Lindell
  • Yifan Peng
  • Suyeon Choi
  • Julien Martel

Their work was often published in venues such as:

  • arXiv (Cornell University)
  • ACM Transactions on Graphics
  • Optica
  • Computer Graphics Forum
  • Optics Express

Gordon Wetzstein received recognition including the Alfred P. Sloan Foundation fellowship in 2018.

Best Publications

  • Efficient Geometry-aware 3D Generative Adversarial Networks

    Unknown

  • Simultaneous whole-animal 3D imaging of neuronal activity using light-field microscopy

    Robert Prevedel;Young-Gyu Yoon;Maximilian Hoffmann;Maximilian Hoffmann;Maximilian Hoffmann;Nikita Pak

  • Inference in artificial intelligence with deep optics and photonics.

    Gordon Wetzstein;Aydogan Ozcan;Sylvain Gigan;Shanhui Fan

  • Scene Representation Networks: Continuous 3D-Structure-Aware Neural Scene Representations

    Vincent Sitzmann;Michael Zollhoefer;Gordon Wetzstein

  • pi-GAN: Periodic Implicit Generative Adversarial Networks for 3D-Aware Image Synthesis

    Eric R. Chan;Marco Monteiro;Petr Kellnhofer;Jiajun Wu

  • Tensor displays: compressive light field synthesis using multilayer displays with directional backlighting

    Gordon Wetzstein;Douglas Lanman;Matthew Hirsch;Ramesh Raskar

  • DeepVoxels: Learning Persistent 3D Feature Embeddings

    Vincent Sitzmann;Justus Thies;Felix Heide;Matthias NieBner

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

    Julie Chang;Vincent Sitzmann;Xiong Dun;Wolfgang Heidrich

  • Implicit Neural Representations with Periodic Activation Functions

    Vincent Sitzmann;Julien N. P. Martel;Alexander W. Bergman;David B. Lindell

  • Confocal non-line-of-sight imaging based on the light-cone transform.

    Matthew O’Toole;David B. Lindell;Gordon Wetzstein

  • Saliency in VR: How Do People Explore Virtual Environments?

    Vincent Sitzmann;Ana Serrano;Amy Pavel;Maneesh Agrawala

  • Compressive light field photography using overcomplete dictionaries and optimized projections

    Kshitij Marwah;Gordon Wetzstein;Yosuke Bando;Ramesh Raskar

  • Neural holography with camera-in-the-loop training

    Yifan Peng;Suyeon Choi;Nitish Padmanaban;Gordon Wetzstein

  • 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

  • Toward the next-generation VR/AR optics: a review of holographic near-eye displays from a human-centric perspective.

    Chenliang Chang;Kiseung Bang;Gordon Wetzstein;Byoungho Lee

  • The light field stereoscope

    Fu-Chung Huang;David Luebke;Gordon Wetzstein

  • State of the Art on Neural Rendering

    Ayush Tewari;Ohad Fried;Justus Thies;Vincent Sitzmann

  • Non-line-of-sight imaging

    Daniele Faccio;Andreas Velten;Gordon Wetzstein

  • The light field stereoscope: immersive computer graphics via factored near-eye light field displays with focus cues

    Fu-Chung Huang;Kevin Chen;Gordon Wetzstein

  • 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

  • DeepVoxels: Learning Persistent 3D Feature Embeddings

    Vincent Sitzmann;Justus Thies;Felix Heide;Matthias Nießner

  • Advances in neural rendering

    A. Tewari;O. Fried;J. Thies;V. Sitzmann

  • Saliency in VR: How do people explore virtual environments?

    Vincent Sitzmann;Ana Serrano;Amy Pavel;Maneesh Agrawala

Frequent Co-Authors

Wolfgang Heidrich
Wolfgang Heidrich King Abdullah University of Science and Technology
Felix Heide
Felix Heide Princeton University
Oliver Bimber
Oliver Bimber Johannes Kepler University of Linz
Diego Gutierrez
Diego Gutierrez University of Zaragoza
Qionghai Dai
Qionghai Dai Tsinghua University
Michael Zollhöfer
Michael Zollhöfer Stanford University
Maneesh Agrawala
Maneesh Agrawala Stanford University
Henry Fuchs
Henry Fuchs University of North Carolina at Chapel Hill
Karl Deisseroth
Karl Deisseroth Stanford University

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