World's Best Scientists 2026 revealed!
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Computer Science
UK
2025

D-Index & Metrics

Computer Science

D-Index
78
Citations
47913
World Ranking
1162
National Ranking
70

Research.com Recognitions

  • 2025 - Research.com Computer Science in United Kingdom Leader Award
  • 2023 - Research.com Computer Science in United Kingdom Leader Award
  • 2022 - Research.com Computer Science in United Kingdom Leader Award
  • 2017 - Fellow of the Royal Academy of Engineering (UK)

Overview

Andrew J. Davison is affiliated with Imperial College London in the United Kingdom. Their research spans multiple fields, primarily in computer science and engineering, with a focus on subfields such as computer vision and pattern recognition, aerospace engineering, control and systems engineering, artificial intelligence, and geology.

Their work covers a range of topics including robotics and sensor-based localization, advanced vision and imaging, robot manipulation and learning, advanced neural network applications, advanced image and video retrieval techniques, 3D surveying and cultural heritage, and advanced memory and neural computing.

Frequent coauthors collaborating with Andrew J. Davison include Stephen James, Stefan Leutenegger, Tristan Laidlow, Edgar Sucar, and Kentaro Wada.

Andrew J. Davison has published extensively in several venues, with frequent contributions to:

  • arXiv (Cornell University)
  • IEEE Robotics and Automation Letters
  • 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • 2022 International Conference on Robotics and Automation (ICRA)
  • Zurich Open Repository and Archive (University of Zurich)

Among their recent publications are:

  • Event-based Vision: A Survey, 2020, Zurich Open Repository and Archive (University of Zurich)
  • In-Place Scene Labelling and Understanding with Implicit Scene Representation, 2021, 2021 IEEE/CVF International Conference on Computer Vision (ICCV)
  • RLBench: The Robot Learning Benchmark & Learning Environment, 2020, IEEE Robotics and Automation Letters
  • Rearrangement: A Challenge for Embodied AI, 2020, arXiv (Cornell University)
  • Bootstrapping Semantic Segmentation with Regional Contrast, 2021, arXiv (Cornell University)

Andrew J. Davison has contributed to academic books published by Cambridge University Press, including Christian Platonism released in 2020.

In 2017, they were recognized as a Fellow of the Royal Academy of Engineering in the United Kingdom.

Best Publications

  • MonoSLAM: Real-Time Single Camera SLAM

    A.J. Davison;I.D. Reid;N.D. Molton;O. Stasse

  • KinectFusion: Real-time dense surface mapping and tracking

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

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

    Shahram Izadi;David Kim;Otmar Hilliges;David Molyneaux

  • DTAM: Dense tracking and mapping in real-time

    Richard A. Newcombe;Steven J. Lovegrove;Andrew J. Davison

  • Event-based Vision: A Survey

    Guillermo Gallego;Tobi Delbruck;Garrick Michael Orchard;Chiara Bartolozzi

  • KAZE features

    Pablo Fern;ndez Alcantarilla;Adrien Bartoli;Andrew J. Davison

  • SLAM++: Simultaneous Localisation and Mapping at the Level of Objects

    Renato F. Salas-Moreno;Richard A. Newcombe;Hauke Strasdat;Paul H. J. Kelly

  • End-To-End Multi-Task Learning With Attention

    Shikun Liu;Edward Johns;Andrew J. Davison

  • A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM

    Ankur Handa;Thomas Whelan;John McDonald;Andrew J. Davison

  • Inverse Depth Parametrization for Monocular SLAM

    J. Civera;A.J. Davison;J. Montiel

  • ElasticFusion: Dense SLAM Without A Pose Graph

    Thomas Whelan;Stefan Leutenegger;Renato F. Salas-Moreno;Ben Glocker

  • Simultaneous localization and map-building using active vision

    A.J. Davison;D.W. Murray

  • ElasticFusion: Real-time dense SLAM and light source estimation

    Thomas Whelan;Renato F Salas-Moreno;Ben Glocker;Andrew J Davison

  • Real-time monocular SLAM: Why filter?

    Hauke Strasdat;J. M. M. Montiel;Andrew J. Davison

  • SemanticFusion: Dense 3D semantic mapping with convolutional neural networks

    John McCormac;Ankur Handa;Andrew Davison;Stefan Leutenegger

  • Scale Drift-Aware Large Scale Monocular SLAM

    Hauke Strasdat;J. M. M. Montiel;Andrew J. Davison

  • Live dense reconstruction with a single moving camera

    Richard A. Newcombe;Andrew J. Davison

  • Unified Inverse Depth Parametrization for Monocular SLAM

    J. M. M. Montiel;Javier Civera;Andrew J. Davison

  • Editors Choice Article: Visual SLAM: Why filter?

    Hauke Strasdat;J. M. M. Montiel;Andrew J. Davison

  • Active Matching

    Margarita Chli;Andrew J. Davison

  • Robotics and Automation, 2009. ICRA '09. IEEE International Conference on

    Margarita Chli;A.J. Davison

Frequent Co-Authors

José María Martínez Montiel
José María Martínez Montiel University of Zaragoza
Javier Civera
Javier Civera University of Zaragoza
Ian Reid
Ian Reid University of Adelaide
Steve Furber
Steve Furber University of Manchester
Tae-Kyun Kim
Tae-Kyun Kim Korea Advanced Institute of Science and Technology
Ben Glocker
Ben Glocker Imperial College London
Shahram Izadi
Shahram Izadi Google (United States)
Jamie Shotton
Jamie Shotton Microsoft (United States)
Otmar Hilliges
Otmar Hilliges ETH Zurich

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