Andrew J. Davison

27.7k citations

108 papers · 15.9k indexed · 16 hit papers · h-index 46

Computer Vision and Pattern Recognition top 0.02%
Aerospace Engineering top 0.01%
Geology top 0.01%
Electrical and Electronic Engineering top 1%
Control and Systems Engineering top 0.5%

Co-authors: Ian Reid Richard A. Newcombe Nicholas Molton Olivier Stasse J. M. M. Montiel Stefan Leutenegger Steven Lovegrove Hauke Strasdat
Topics: Robotics and Sensor-Based Localization (85 papers)Advanced Vision and Imaging (54 papers)Advanced Image and Video Retrieval Techniques (32 papers)
Cited by: Geology Computer Vision and Pattern Recognition Aerospace Engineering
Journals: IEEE Transactions on Pattern Analysis and Machine Intelligence International Journal of Computer Vision The International Journal of Robotics Research
Partner nations: United Kingdom Spain United States

In The Last Decade

Andrew J. Davison

105 papers receiving 15.2k citations

Hit Papers

5 papers align trajectories

What are hit papers?

Hit papers significantly outperform the citation benchmark for their cohort. A paper qualifies if it has ≥500 total citations, achieves ≥1.5× the top-1% citation threshold for papers in the same subfield and year (this is the minimum needed to enter the top 1%, not the average within it), or reaches the top citation threshold in at least one of its specific research topics.

MonoSLAM: Real-Time Single Camera SLAM

2007 2.7k citations Andrew J. Davison, Ian Reid et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
KinectFusion

2011 1.4k citations Andrew J. Davison et al. profile →
DTAM: Dense tracking and mapping in real-time

2011 1.3k citations Richard A. Newcombe, Andrew J. Davison et al. profile →
End-To-End Multi-Task Learning With Attention

2019 687 citations Shikun Liu, Edward Johns et al. Spiral (Imperial College London) profile →
SLAM++: Simultaneous Localisation and Mapping at the Level of Objects

2013 607 citations Richard A. Newcombe, Hauke Strasdat et al. profile →
A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM

2014 579 citations Ankur Handa, Thomas J. Whelan et al. Maynooth University ePrints and eTheses Archive (Maynooth University) profile →
Inverse Depth Parametrization for Monocular SLAM

2008 519 citations Andrew J. Davison, J. M. M. Montiel et al. profile →
ElasticFusion: Dense SLAM Without A Pose Graph

2015 497 citations Thomas J. Whelan, Stefan Leutenegger et al. profile →
Robotics and Automation, 2009. ICRA '09. IEEE International Conference on

2009 469 citations Margarita Chli, Andrew J. Davison profile →
ElasticFusion: Real-time dense SLAM and light source estimation

2016 457 citations Thomas J. Whelan, Andrew J. Davison et al. profile →
SemanticFusion: Dense 3D semantic mapping with convolutional neural networks

2017 423 citations John McCormac, Ankur Handa et al. Spiral (Imperial College London) profile →
Event-Based Vision: A Survey

2020 417 citations Stefan Leutenegger, Andrew J. Davison et al. profile →
Simultaneous localization and map-building using active vision

2002 356 citations Andrew J. Davison et al. IEEE Transactions on Pattern Analysis and Machine Intelligence profile →
Real-time monocular SLAM: Why filter?

2010 352 citations Hauke Strasdat, J. M. M. Montiel et al. profile →
Visual SLAM: Why filter?

2012 306 citations Hauke Strasdat, J. M. M. Montiel et al. profile →
In-Place Scene Labelling and Understanding with Implicit Scene Representation

2021 212 citations Shuaifeng Zhi, Tristan Laidlow et al. profile →

Peers

Countries citing papers authored by Andrew J. Davison

Since Specialization

Citations

This map shows the geographic impact of Andrew J. Davison's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Andrew J. Davison with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Andrew J. Davison more than expected).

Fields of papers citing papers by Andrew J. Davison

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Andrew J. Davison. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Andrew J. Davison. The network helps show where Andrew J. Davison may publish in the future.

Co-authorship network of co-authors of Andrew J. Davison

This figure shows the co-authorship network connecting the top 25 collaborators of Andrew J. Davison. A scholar is included among the top collaborators of Andrew J. Davison based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Andrew J. Davison. Andrew J. Davison is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

Sort: Min cites: Since: Top N: Style:

20 of 20 papers shown

#	Work	Indexed citations
1	Rethinking Inductive Biases for Surface Normal Estimation 2024 ·(unknown),Andrew J. Davison	9
2	iLabel: Revealing Objects in Neural Fields 2022 ·IEEE Robotics and Automation Letters ·Shuaifeng Zhi,(unknown),André Mouton,(unknown),Tristan Laidlow,Andrew J. Davison	18
3	ReorientBot: Learning Object Reorientation for Specific-Posed Placement 2022 ·2022 International Conference on Robotics and Automation (ICRA) ·Kentaro Wada,Stephen James,Andrew J. Davison	17
4	A convolutional neural network based model to predict nearshore waves and hydrodynamics 2021 ·Coastal Engineering ·Zhangping Wei,Andrew J. Davison	31
5	Neural Object Descriptors for Multi-View Shape Reconstruction 2020 ·arXiv (Cornell University) ·(unknown),Kentaro Wada,Andrew J. Davison	2
6	MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion 2020 ·Kentaro Wada,(unknown),Stephen James,Daniel Lenton,Andrew J. Davison	70
7	Self-Supervised Generalisation with Meta Auxiliary Learning 2019 ·Spiral (Imperial College London) ·Shikun Liu,Andrew J. Davison,Edward Johns	8
8	SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations 2019 ·Shuaifeng Zhi,Michael Bloesch,Stefan Leutenegger,Andrew J. Davison	45
9	Characterizing Visual Localization and Mapping Datasets 2019 ·Pure (University of Bath) ·Sajad Saeedi,(unknown),Wenbin Li,Dimos Tzoumanikas,Stefan Leutenegger,Paul H. J. Kelly,Andrew J. Davison	16
10	SLAMBench 3.0: Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding 2019 ·Research Explorer (The University of Manchester) ·(unknown),(unknown),Sajad Saeedi,(unknown),Bruno Bodin,(unknown),Andrew J. Davison,(unknown),Graham Riley,Barry Lennox,Mikel Luján,Steve Furber	23
11	SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation? 2017 ·Spiral (Imperial College London) ·John McCormac,Ankur Handa,Stefan Leutenegger,Andrew J. Davison	157
12	Simultaneous Optical Flow and Intensity Estimation from an Event Camera 2016 ·Spiral (Imperial College London) ·(unknown),Andrew J. Davison,Stefan Leutenegger	171
13	Dense planar SLAM 2014 ·(unknown),(unknown),Paul H. J. Kelly,Andrew J. Davison	117
14	A benchmark for RGB-D visual odometry, 3D reconstruction and SLAMbreakdown → 2014 ·Maynooth University ePrints and eTheses Archive (Maynooth University) ·Ankur Handa,Thomas J. Whelan,John McDonald,Andrew J. Davison	579
15	SLAM++: Simultaneous Localisation and Mapping at the Level of Objectsbreakdown → 2013 ·(unknown),Richard A. Newcombe,Hauke Strasdat,Paul H. J. Kelly,Andrew J. Davison	607
16	Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided Robotic Surgery 2013 ·Lecture notes in computer science ·(unknown),Danail Stoyanov,Andrew J. Davison,Philip “Eddie” Edwards	32
17	Double window optimisation for constant time visual SLAM 2011 ·Hauke Strasdat,Andrew J. Davison,J. M. M. Montiel,Kurt Konolige	183
18	Real-time monocular SLAM: Why filter?breakdown → 2010 ·Hauke Strasdat,J. M. M. Montiel,Andrew J. Davison	352
19	Robotics and Automation, 2009. ICRA '09. IEEE International Conference onbreakdown → 2009 ·Margarita Chli,Andrew J. Davison	469
20	MonoSLAM: Real-Time Single Camera SLAMbreakdown → 2007 ·IEEE Transactions on Pattern Analysis and Machine Intelligence ·Andrew J. Davison,Ian Reid,Nicholas Molton,Olivier Stasse	2704

About Andrew J. Davison

Andrew J. Davison is a scholar working on Computer Vision and Pattern Recognition, Geology and Aerospace Engineering, having authored 108 papers that have together received 15.9k indexed citations. Recurring topics across this work include Robotics and Sensor-Based Localization (85 papers), Advanced Vision and Imaging (54 papers) and Advanced Image and Video Retrieval Techniques (32 papers). The work is most often cited by research in Geology (3.5k citations), Computer Vision and Pattern Recognition (11.6k citations) and Aerospace Engineering (11.3k citations). Andrew J. Davison has collaborated with scholars based in United Kingdom, Spain and United States. Frequent co-authors include Ian Reid, Richard A. Newcombe, Nicholas Molton, Olivier Stasse, J. M. M. Montiel, Stefan Leutenegger, Steven Lovegrove, Hauke Strasdat, Javier Civera and Thomas J. Whelan. Their work appears in journals such as IEEE Transactions on Pattern Analysis and Machine Intelligence, International Journal of Computer Vision and The International Journal of Robotics Research.

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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