World's Best Scientists 2026 revealed!
Andrew Fitzgibbon

Andrew Fitzgibbon

D-Index & Metrics

Computer Science

D-Index
82
Citations
51066
World Ranking
925
National Ranking
503

Research.com Recognitions

  • 2017 - Distinguished Fellow of the British Machine Vision Association (BMVA)
  • 2014 - Fellow of the Royal Academy of Engineering (UK)
  • 2012 - Fellow of the International Association for Pattern Recognition (IAPR) For contributions to 3D computer vision research and its applications

Overview

Andrew Fitzgibbon is affiliated with Graphcore in the United States and has contributed extensively to the field of computer science, focusing on multiple subfields. Their work spans computer vision and pattern recognition, artificial intelligence, computational theory and mathematics, materials chemistry, and control and systems engineering.

The main areas of research topics they have engaged in include:

  • Machine Learning in Materials Science
  • Topic Modeling
  • 3D Shape Modeling and Analysis
  • Computational Drug Discovery Methods
  • Advanced Control Systems Optimization
  • Numerical Methods and Algorithms
  • Robotics and Sensor-Based Localization

Frequent co-authors in their publications include:

  • Hatem Helal
  • Simon Peyton Jones
  • Thomas J. Cashman
  • Federica Bogo
  • Kerstin Kläser

Their recent publications cover a variety of topics and appear across reputable venues. Selected papers include:

  • "Inverse Graphics GAN: Learning to Generate 3D Shapes from Unstructured 2D Data," 2020, arXiv (Cornell University)
  • "Provably correct, asymptotically efficient, higher-order reverse-mode automatic differentiation," 2022, Proceedings of the ACM on Programming Languages
  • "Efficient Sequence Packing without Cross-contamination: Accelerating Large Language Models without Impacting Performance," 2021, arXiv (Cornell University)
  • "Towards Foundational Models for Molecular Learning on Large-Scale Multi-Task Datasets," 2023, arXiv (Cornell University)
  • "Training and inference of large language models using 8-bit floating point," 2023, arXiv (Cornell University)

Andrew Fitzgibbon's works have been published predominantly in the venue arXiv (Cornell University) with sixteen publications, alongside contributions to the Proceedings of the ACM on Programming Languages and the 2022 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR).

Their recognition within the scientific community is reflected by several awards, including:

  • Distinguished Fellow of the British Machine Vision Association (BMVA), 2017
  • Fellow of the Royal Academy of Engineering (UK), 2014
  • Fellow of the International Association for Pattern Recognition (IAPR), 2012, for contributions to 3D computer vision research and its applications

Best Publications

  • Real-time human pose recognition in parts from single depth images

    Jamie Shotton;Andrew Fitzgibbon;Mat Cook;Toby Sharp

  • Bundle Adjustment - A Modern Synthesis

    Bill Triggs;Philip F. McLauchlan;Richard I. Hartley;Andrew W. Fitzgibbon

  • KinectFusion: Real-time dense surface mapping and tracking

    Richard A. Newcombe;Shahram Izadi;Otmar Hilliges;David Molyneaux

  • Real-time human pose recognition in parts from single depth images

    Jamie Shotton;Toby Sharp;Alex Kipman;Andrew Fitzgibbon

  • KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera

    Shahram Izadi;David Kim;Otmar Hilliges;David Molyneaux

  • Direct least squares fitting of ellipses

    A.W. Fitzgibbon;M. Pilu;R.B. Fisher

  • Robust registration of 2D and 3D point sets

    Andrew W. Fitzgibbon

  • An experimental comparison of range image segmentation algorithms

    A. Hoover;G. Jean-Baptiste;X. Jiang;P.J. Flynn

  • Robust Registration of 2D and 3D Point Sets

    Unknown

  • Scene Coordinate Regression Forests for Camera Relocalization in RGB-D Images

    Jamie Shotton;Ben Glocker;Christopher Zach;Shahram Izadi

  • Simultaneous linear estimation of multiple view geometry and lens distortion

    A.W. Fitzgibbon

  • Efficient Human Pose Estimation from Single Depth Images

    Jamie Shotton;Ross Girshick;Andrew Fitzgibbon;Toby Sharp

  • Automatic Camera Recovery for Closed or Open Image Sequences

    Andrew W. Fitzgibbon;Andrew Zisserman

  • Accurate, Robust, and Flexible Real-time Hand Tracking

    Toby Sharp;Cem Keskin;Duncan Robertson;Jonathan Taylor

  • Efficient object category recognition using classemes

    Lorenzo Torresani;Martin Szummer;Andrew Fitzgibbon

  • Efficient regression of general-activity human poses from depth images

    Ross Girshick;Jamie Shotton;Pushmeet Kohli;Antonio Criminisi

  • Global Stereo Reconstruction under Second-Order Smoothness Priors

    O. Woodford;P. Torr;I. Reid;A. Fitzgibbon

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

    Michael Zollhöfer;Matthias Nießner;Shahram Izadi;Christoph Rehmann

  • Global stereo reconstruction under second order smoothness priors

    O.J. Woodford;P.H.S. Torr;I.D. Reid;A.W. Fitzgibbon

  • Markerless tracking using planar structures in the scene

    G. Simon;A.W. Fitzgibbon;A. Zisserman

  • Efficient Regression of General-Activity Human Poses from Depth Images: Supplementary Material

    Ross Girshick;Jamie Shotton;Pushmeet Kohli;Antonio Criminisi

Frequent Co-Authors

Jamie Shotton
Jamie Shotton Microsoft (United States)
Shahram Izadi
Shahram Izadi Google (United States)
Andrew Zisserman
Andrew Zisserman University of Oxford
Robert B. Fisher
Robert B. Fisher University of Edinburgh
Pushmeet Kohli
Pushmeet Kohli DeepMind (United Kingdom)
David Kim
David Kim Microsoft (United States)
Antonio Criminisi
Antonio Criminisi Microsoft (United States)
Philip H. S. Torr
Philip H. S. Torr University of Oxford
Otmar Hilliges
Otmar Hilliges ETH Zurich
Roberto Cipolla
Roberto Cipolla University of Cambridge

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