Andrew J. Davison

235 papers A* 69A 15B 1C 1Misc 4Journal 112Unranked 32
YearRankTypeTitle / Venue / Authors
2026 J jnl
A Distributed Gaussian Process Model for Multi-Robot Mapping.
CoRR
Seth Nabarro, Mark van der Wilk, Andrew J. Davison
2026 J jnl
Belief Propagation Converges to Gaussian Distributions in Sparsely-Connected Factor Graphs.
CoRR
Tom Yates, Yuzhou Cheng, Ignacio Alzugaray, Danyal Akarca, Pedro A. M. Mediano, Andrew J. Davison
2026 J jnl
Radiant Foam Rendering on a Graph Processor.
CoRR
Zulkhuu Tuya, Ignacio Alzugaray, Nicholas Fry, Andrew J. Davison
2025 J jnl
4D Primitive-Mâché: Glueing Primitives for Persistent 4D Scene Reconstruction.
CoRR
Kirill Mazur, Marwan Taher, Andrew J. Davison
2025 A* conf
4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians.
CVPR
Hidenobu Matsuki, Gwangbin Bae, Andrew J. Davison
2025 J jnl
4DTAM: Non-Rigid Tracking and Mapping via Dynamic Surface Gaussians.
CoRR
Hidenobu Matsuki, Gwangbin Bae, Andrew J. Davison
2025 J jnl
ACE-SLAM: Scene Coordinate Regression for Neural Implicit Real-Time SLAM.
CoRR
Ignacio Alzugaray, Marwan Taher, Andrew J. Davison
2025 J jnl
DANCeRS: A Distributed Algorithm for Negotiating Consensus in Robot Swarms with Gaussian Belief Propagation.
CoRR
Aalok Patwardhan, Andrew J. Davison
2025 J jnl
KV-Tracker: Real-Time Pose Tracking with Transformers.
CoRR
Marwan Taher, Ignacio Alzugaray, Kirill Mazur, Xin Kong, Andrew J. Davison
2025 A* conf
MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors.
CVPR
Riku Murai, Eric Dexheimer, Andrew J. Davison
2025 — conf
U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments.
3DV
Aalok Patwardhan, Callum Rhodes, Gwangbin Bae, Andrew J. Davison
2024 A* conf
A Distributed Multi-Robot Framework for Exploration, Information Acquisition and Consensus.
ICRA
Aalok Patwardhan, Andrew J. Davison
2024 J jnl
A Robot Web for Distributed Many-Device Localization.
IEEE Trans. Robotics
Riku Murai, Joseph Ortiz, Sajad Saeedi G., Paul H. J. Kelly, Andrew J. Davison
2024 — conf
COMO: Compact Mapping and Odometry.
ECCV (55)
Eric Dexheimer, Andrew J. Davison
2024 J jnl
COMO: Compact Mapping and Odometry.
CoRR
Eric Dexheimer, Andrew J. Davison
2024 J jnl
Distributed Simultaneous Localisation and Auto-Calibration Using Gaussian Belief Propagation.
IEEE Robotics Autom. Lett.
Riku Murai, Ignacio Alzugaray, Paul H. J. Kelly, Andrew J. Davison
2024 J jnl
Distributed Simultaneous Localisation and Auto-Calibration using Gaussian Belief Propagation.
CoRR
Riku Murai, Ignacio Alzugaray, Paul H. J. Kelly, Andrew J. Davison
2024 A* conf
EscherNet: A Generative Model for Scalable View Synthesis.
CVPR
Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew J. Davison
2024 J jnl
EscherNet: A Generative Model for Scalable View Synthesis.
CoRR
Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew J. Davison
2024 A* conf
Fit-NGP: Fitting Object Models to Neural Graphics Primitives.
ICRA
Marwan Taher, Ignacio Alzugaray, Andrew J. Davison
2024 J jnl
Fit-NGP: Fitting Object Models to Neural Graphics Primitives.
CoRR
Marwan Taher, Ignacio Alzugaray, Andrew J. Davison
2024 A* conf
Gaussian Splatting SLAM.
CVPR
Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly, Andrew J. Davison
2024 A* conf
Learning in Deep Factor Graphs with Gaussian Belief Propagation.
ICML
Seth Nabarro, Mark van der Wilk, Andrew J. Davison
2024 J jnl
MASt3R-SLAM: Real-Time Dense SLAM with 3D Reconstruction Priors.
CoRR
Riku Murai, Eric Dexheimer, Andrew J. Davison
2024 J jnl
PixRO: Pixel-Distributed Rotational Odometry with Gaussian Belief Propagation.
CoRR
Ignacio Alzugaray, Riku Murai, Andrew J. Davison
2024 A* conf
Rethinking Inductive Biases for Surface Normal Estimation.
CVPR
Gwangbin Bae, Andrew J. Davison
2024 J jnl
Rethinking Inductive Biases for Surface Normal Estimation.
CoRR
Gwangbin Bae, Andrew J. Davison
2024 A* conf
SuperPrimitive: Scene Reconstruction at a Primitive Level.
CVPR
Kirill Mazur, Gwangbin Bae, Andrew J. Davison
2024 J jnl
U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments.
CoRR
Aalok Patwardhan, Callum Rhodes, Gwangbin Bae, Andrew J. Davison
2023 J jnl
A Distributed Multi-Robot Framework for Exploration, Information Acquisition and Consensus.
CoRR
Aalok Patwardhan, Andrew J. Davison
2023 J jnl
Distributing Collaborative Multi-Robot Planning With Gaussian Belief Propagation.
IEEE Robotics Autom. Lett.
Aalok Patwardhan, Riku Murai, Andrew J. Davison
2023 A* conf
Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding.
ICRA
Kirill Mazur, Edgar Sucar, Andrew J. Davison
2023 J jnl
Gaussian Splatting SLAM.
CoRR
Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly, Andrew J. Davison
2023 A* conf
Learning a Depth Covariance Function.
CVPR
Eric Dexheimer, Andrew J. Davison
2023 J jnl
Learning a Depth Covariance Function.
CoRR
Eric Dexheimer, Andrew J. Davison
2023 J jnl
Learning in Deep Factor Graphs with Gaussian Belief Propagation.
CoRR
Seth Nabarro, Mark van der Wilk, Andrew J. Davison
2023 J jnl
SuperPrimitive: Scene Reconstruction at a Primitive Level.
CoRR
Kirill Mazur, Gwangbin Bae, Andrew J. Davison
2023 J jnl
iLabel: Revealing Objects in Neural Fields.
IEEE Robotics Autom. Lett.
Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison
2023 A* conf
iMODE:Real-Time Incremental Monocular Dense Mapping Using Neural Field.
ICRA
Hidenobu Matsuki, Edgar Sucar, Tristan Laidlow, Kentaro Wada, Raluca Scona, Andrew J. Davison
2023 A* conf
vMAP: Vectorised Object Mapping for Neural Field SLAM.
CVPR
Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison
2023 J jnl
vMAP: Vectorised Object Mapping for Neural Field SLAM.
CoRR
Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison
2022 J jnl
A Robot Web for Distributed Many-Device Localisation.
CoRR
Riku Murai, Joseph Ortiz, Sajad Saeedi, Paul H. J. Kelly, Andrew J. Davison
2022 J jnl
Auto-Lambda: Disentangling Dynamic Task Relationships.
CoRR
Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns
2022 J jnl
Auto-Lambda: Disentangling Dynamic Task Relationships.
Trans. Mach. Learn. Res.
Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns
2022 A* conf
Bootstrapping Semantic Segmentation with Regional Contrast.
ICLR
Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison
2022 A* conf
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation.
CVPR
Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison
2022 J jnl
Distributing Collaborative Multi-Robot Planning with Gaussian Belief Propagation.
CoRR
Aalok Patwardhan, Riku Murai, Andrew J. Davison
2022 J jnl
Event-Based Vision: A Survey.
IEEE Trans. Pattern Anal. Mach. Intell.
Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza
2022 J jnl
Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding.
CoRR
Kirill Mazur, Edgar Sucar, Andrew J. Davison
2022 J jnl
From Scene Flow to Visual Odometry Through Local and Global Regularisation in Markov Random Fields.
IEEE Robotics Autom. Lett.
Raluca Scona, Hidenobu Matsuki, Andrew J. Davison
2022 A* conf
Incremental Abstraction in Distributed Probabilistic SLAM Graphs.
ICRA
Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison
2022 A conf
Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes.
IROS
Binbin Xu, Andrew J. Davison, Stefan Leutenegger
2022 J jnl
Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes.
CoRR
Binbin Xu, Andrew J. Davison, Stefan Leutenegger
2022 J jnl
Q-Attention: Enabling Efficient Learning for Vision-Based Robotic Manipulation.
IEEE Robotics Autom. Lett.
Stephen James, Andrew J. Davison
2022 Misc conf
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter.
CoRL
Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison
2022 J jnl
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter.
CoRR
Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison
2022 A* conf
ReorientBot: Learning Object Reorientation for Specific-Posed Placement.
ICRA
Kentaro Wada, Stephen James, Andrew J. Davison
2022 J jnl
ReorientBot: Learning Object Reorientation for Specific-Posed Placement.
CoRR
Kentaro Wada, Stephen James, Andrew J. Davison
2022 A* conf
SafePicking: Learning Safe Object Extraction via Object-Level Mapping.
ICRA
Kentaro Wada, Stephen James, Andrew J. Davison
2022 J jnl
SafePicking: Learning Safe Object Extraction via Object-Level Mapping.
CoRR
Kentaro Wada, Stephen James, Andrew J. Davison
2022 — conf
Simultaneous Localisation and Mapping With Quadric Surfaces.
3DV
Tristan Laidlow, Andrew J. Davison
2022 J jnl
Simultaneous Localisation and Mapping with Quadric Surfaces.
CoRR
Tristan Laidlow, Andrew J. Davison
2021 J jnl
A visual introduction to Gaussian Belief Propagation.
CoRR
Joseph Ortiz, Talfan Evans, Andrew J. Davison
2021 J jnl
Bootstrapping Semantic Segmentation with Regional Contrast.
CoRR
Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison
2021 J jnl
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation.
CoRR
Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison
2021 J jnl
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations.
CoRR
Hidenobu Matsuki, Raluca Scona, Jan Czarnowski, Andrew J. Davison
2021 J jnl
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations.
IEEE Robotics Autom. Lett.
Hidenobu Matsuki, Raluca Scona, Jan Czarnowski, Andrew J. Davison
2021 J jnl
Deep Probabilistic Feature-Metric Tracking.
IEEE Robotics Autom. Lett.
Binbin Xu, Andrew J. Davison, Stefan Leutenegger
2021 A* conf
End-to-End Egospheric Spatial Memory.
ICLR
Daniel James Lenton, Stephen James, Ronald Clark, Andrew J. Davison
2021 J jnl
End-to-End Egospheric Spatial Memory.
CoRR
Daniel Lenton, Stephen James, Ronald Clark, Andrew J. Davison
2021 A* conf
In-Place Scene Labelling and Understanding with Implicit Scene Representation.
ICCV
Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, Andrew J. Davison
2021 J jnl
In-Place Scene Labelling and Understanding with Implicit Scene Representation.
CoRR
Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, Andrew J. Davison
2021 J jnl
Incremental Abstraction in Distributed Probabilistic SLAM Graphs.
CoRR
Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison
2021 J jnl
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation.
CoRR
Stephen James, Andrew J. Davison
2021 A* conf
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks.
ICCV
Zoe Landgraf, Raluca Scona, Tristan Laidlow, Stephen James, Stefan Leutenegger, Andrew J. Davison
2021 J jnl
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks.
CoRR
Zoe Landgraf, Raluca Scona, Tristan Laidlow, Stephen James, Stefan Leutenegger, Andrew J. Davison
2021 J jnl
iLabel: Interactive Neural Scene Labelling.
CoRR
Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison
2021 A* conf
iMAP: Implicit Mapping and Positioning in Real-Time.
ICCV
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
2021 J jnl
iMAP: Implicit Mapping and Positioning in Real-Time.
CoRR
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
2020 A* conf
Bundle Adjustment on a Graph Processor.
CVPR
Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison
2020 J jnl
Bundle Adjustment on a Graph Processor.
CoRR
Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison
2020 A* conf
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM.
ICRA
Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
2020 J jnl
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM.
CoRR
Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
2020 J jnl
Deep Probabilistic Feature-metric Tracking.
CoRR
Binbin Xu, Andrew J. Davison, Stefan Leutenegger
2020 J jnl
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM.
CoRR
Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
2020 J jnl
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM.
IEEE Robotics Autom. Lett.
Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
2020 J jnl
Learning One-Shot Imitation From Humans Without Humans.
IEEE Robotics Autom. Lett.
Alessandro Bonardi, Stephen James, Andrew J. Davison
2020 A* conf
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion.
CVPR
Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
2020 J jnl
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion.
CoRR
Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
2020 J jnl
Neural Object Descriptors for Multi-View Shape Reconstruction.
CoRR
Edgar Sucar, Kentaro Wada, Andrew J. Davison
2020 — conf
NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction.
3DV
Edgar Sucar, Kentaro Wada, Andrew J. Davison
2020 J jnl
RLBench: The Robot Learning Benchmark & Learning Environment.
IEEE Robotics Autom. Lett.
Stephen James, Zicong Ma, David Rovick Arrojo, Andrew J. Davison
2020 J jnl
Rearrangement: A Challenge for Embodied AI.
CoRR
Dhruv Batra, Angel X. Chang, Sonia Chernova, Andrew J. Davison, Jia Deng, Vladlen Koltun, Sergey Levine, Jitendra Malik, Igor Mordatch, Roozbeh Mottaghi, Manolis Savva, Hao Su
2019 A* conf
Characterizing Visual Localization and Mapping Datasets.
ICRA
Sajad Saeedi, Eduardo D. C. Carvalho, Wenbin Li, Dimos Tzoumanikas, Stefan Leutenegger, Paul H. J. Kelly, Andrew J. Davison
2019 A* conf
End-To-End Multi-Task Learning With Attention.
CVPR
Shikun Liu, Edward Johns, Andrew J. Davison
2019 J jnl
Event-based Vision: A Survey.
CoRR
Guillermo Gallego, Tobi Delbruck, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza
2019 J jnl
FutureMapping 2: Gaussian Belief Propagation for Spatial AI.
CoRR
Andrew J. Davison, Joseph Ortiz
2019 A* conf
Learning Meshes for Dense Visual SLAM.
ICCV
Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
2019 J jnl
Learning One-Shot Imitation from Humans without Humans.
CoRR
Alessandro Bonardi, Stephen James, Andrew J. Davison
2019 A* conf
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM.
ICRA
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
2019 J jnl
PyRep: Bringing V-REP to Deep Robot Learning.
CoRR
Stephen James, Marc Freese, Andrew J. Davison
2019 J jnl
RLBench: The Robot Learning Benchmark & Learning Environment.
CoRR
Stephen James, Zicong Ma, David Rovick Arrojo, Andrew J. Davison
2019 A* conf
SLAMBench 3.0: Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding.
ICRA
Mihai Bujanca, Paul Gafton, Sajad Saeedi, Andy Nisbet, Bruno Bodin, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Graham D. Riley, Barry Lennox, Mikel Luján, Steve B. Furber
2019 A* conf
SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations.
CVPR
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
2019 J jnl
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations.
CoRR
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
2019 A* conf
Self-Supervised Generalisation with Meta Auxiliary Learning.
NeurIPS
Shikun Liu, Andrew J. Davison, Edward Johns
2019 J jnl
Self-Supervised Generalisation with Meta Auxiliary Learning.
CoRR
Shikun Liu, Andrew J. Davison, Edward Johns
2018 A* conf
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM.
CVPR
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
2018 J jnl
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM.
CoRR
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
2018 J jnl
End-to-End Multi-Task Learning with Attention.
CoRR
Shikun Liu, Edward Johns, Andrew J. Davison
2018 — conf
Fusion++: Volumetric Object-Level SLAM.
3DV
John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
2018 J jnl
Fusion++: Volumetric Object-Level SLAM.
CoRR
John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
2018 J jnl
FutureMapping: The Computational Structure of Spatial AI Systems.
CoRR
Andrew J. Davison
2018 J jnl
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo.
CoRR
Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
2018 — conf
Learning to Solve Nonlinear Least Squares for Monocular Stereo.
ECCV (8)
Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
2018 J jnl
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM.
CoRR
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
2018 J jnl
Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality.
Proc. IEEE
Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew M. Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo González de Aledo Marugán, Andrey Rodchenko, Graham D. Riley, Christos Kotselidis, Björn Franke, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Luján, Steve B. Furber
2018 J jnl
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality.
CoRR
Sajad Saeedi, Bruno Bodin, Harry Wagstaff, Andy Nisbet, Luigi Nardi, John Mawer, Nicolas Melot, Oscar Palomar, Emanuele Vespa, Tom Spink, Cosmin Gorgovan, Andrew M. Webb, James Clarkson, Erik Tomusk, Thomas Debrunner, Kuba Kaszyk, Pablo González de Aledo, Andrey Rodchenko, Graham D. Riley, Christos Kotselidis, Björn Franke, Michael F. P. O'Boyle, Andrew J. Davison, Paul H. J. Kelly, Mikel Luján, Steve B. Furber
2018 A* conf
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM.
ICRA
Bruno Bodin, Harry Wagstaff, Sajad Saeedi, Luigi Nardi, Emanuele Vespa, John Mawer, Andy Nisbet, Mikel Luján, Steve B. Furber, Andrew J. Davison, Paul H. J. Kelly, Michael F. P. O'Boyle
2018 J jnl
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM.
CoRR
Bruno Bodin, Harry Wagstaff, Sajad Saeedi, Luigi Nardi, Emanuele Vespa, John Mawer, Andy Nisbet, Mikel Luján, Steve B. Furber, Andrew J. Davison, Paul H. J. Kelly, Michael F. P. O'Boyle
2018 Misc conf
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation.
CoRL
Jan Matas, Stephen James, Andrew J. Davison
2018 J jnl
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation.
CoRR
Jan Matas, Stephen James, Andrew J. Davison
2018 Misc conf
Task-Embedded Control Networks for Few-Shot Imitation Learning.
CoRL
Stephen James, Michael Bloesch, Andrew J. Davison
2018 J jnl
Task-Embedded Control Networks for Few-Shot Imitation Learning.
CoRR
Stephen James, Michael Bloesch, Andrew J. Davison
2018 J jnl
ViCTree: an automated framework for taxonomic classification from protein sequences.
Bioinform.
Sejal Modha, Anil S. Thanki, Susan F. Cotmore, Andrew J. Davison, Joseph Hughes
2017 — conf
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper.
IPDPS Workshops
Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly
2017 J jnl
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper.
CoRR
Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly
2017 A* conf
Application-oriented design space exploration for SLAM algorithms.
ICRA
Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
2017 J jnl
Compressed Voxel-Based Mapping Using Unsupervised Learning.
Robotics
Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison
2017 A* conf
Monocular visual odometry: Sparse joint optimisation or dense alternation?
ICRA
Lukas Platinsky, Andrew J. Davison, Stefan Leutenegger
2017 J jnl
Near-lighting Photometric Stereo for unknown scene distance and medium attenuation.
Image Vis. Comput.
Chourmouzios Tsiotsios, Andrew J. Davison, Tae-Kyun Kim
2017 A* conf
Room layout estimation from rapid omnidirectional exploration.
ICRA
Robert Lukierski, Stefan Leutenegger, Andrew J. Davison
2017 A* conf
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation?
ICCV
John McCormac, Ankur Handa, Stefan Leutenegger, Andrew J. Davison
2017 — conf
Semantic Texture for Robust Dense Tracking.
ICCV Workshops
Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
2017 J jnl
Semantic Texture for Robust Dense Tracking.
CoRR
Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
2017 A* conf
SemanticFusion: Dense 3D semantic mapping with convolutional neural networks.
ICRA
John McCormac, Ankur Handa, Andrew J. Davison, Stefan Leutenegger
2017 Misc conf
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task.
CoRL
Stephen James, Andrew J. Davison, Edward Johns
2017 J jnl
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task.
CoRR
Stephen James, Andrew J. Davison, Edward Johns
2016 J jnl
An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping.
CoRR
Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison
2016 A* conf
Comparative design space exploration of dense and semi-dense SLAM.
ICRA
M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
2016 J jnl
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty.
CoRR
Edward Johns, Stefan Leutenegger, Andrew J. Davison
2016 A conf
Deep learning a grasp function for grasping under gripper pose uncertainty.
IROS
Edward Johns, Stefan Leutenegger, Andrew J. Davison
2016 J jnl
Effective Backscatter Approximation for Photometry in Murky Water.
CoRR
Chourmouzios Tsiotsios, Maria E. Angelopoulou, Andrew J. Davison, Tae-Kyun Kim
2016 J jnl
ElasticFusion: Real-time dense SLAM and light source estimation.
Int. J. Robotics Res.
Thomas Whelan, Renato F. Salas-Moreno, Ben Glocker, Andrew J. Davison, Stefan Leutenegger
2016 J jnl
Model effectiveness prediction and system adaptation for photometric stereo in murky water.
Comput. Vis. Image Underst.
Chourmouzios Tsiotsios, Tae-Kyun Kim, Andrew J. Davison, Srinivasa G. Narasimhan
2016 — conf
Monocular, Real-Time Surface Reconstruction Using Dynamic Level of Detail.
3DV
Jacek Zienkiewicz, Akis Tsiotsios, Andrew J. Davison, Stefan Leutenegger
2016 J jnl
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition.
CoRR
Edward Johns, Stefan Leutenegger, Andrew J. Davison
2016 A* conf
Pairwise Decomposition of Image Sequences for Active Multi-view Recognition.
CVPR
Edward Johns, Stefan Leutenegger, Andrew J. Davison
2016 — conf
Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera.
ECCV (6)
Hanme Kim, Stefan Leutenegger, Andrew J. Davison
2016 A conf
Real-time height map fusion using differentiable rendering.
IROS
Jacek Zienkiewicz, Andrew J. Davison, Stefan Leutenegger
2016 J jnl
SceneNet RGB-D: 5M Photorealistic Images of Synthetic Indoor Trajectories with Ground Truth.
CoRR
John McCormac, Ankur Handa, Stefan Leutenegger, Andrew J. Davison
2016 J jnl
SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks.
CoRR
John McCormac, Ankur Handa, Andrew J. Davison, Stefan Leutenegger
2016 A* conf
Simultaneous Optical Flow and Intensity Estimation from an Event Camera.
CVPR
Patrick Bardow, Andrew J. Davison, Stefan Leutenegger
2016 — conf
gvnn: Neural Network Library for Geometric Computer Vision.
ECCV Workshops (3)
Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison
2016 J jnl
gvnn: Neural Network Library for Geometric Computer Vision.
CoRR
Ankur Handa, Michael Blösch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison
2015 J jnl
Comparative Design Space Exploration of Dense and Semi-Dense SLAM.
CoRR
M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison
2015 — conf
ElasticFusion: Dense SLAM Without A Pose Graph.
Robotics: Science and Systems
Thomas Whelan, Stefan Leutenegger, Renato F. Salas-Moreno, Ben Glocker, Andrew J. Davison
2015 J jnl
Extrinsics Autocalibration for Dense Planar Visual Odometry.
J. Field Robotics
Jacek Zienkiewicz, Andrew J. Davison
2015 J jnl
Interactive 3D Face Stylization Using Sculptural Abstraction.
CoRR
Jan Jachnik, Dan B. Goldman, Linjie Luo, Andrew J. Davison
2015 A* conf
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM.
ICRA
Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Luján, Michael F. P. O'Boyle, Graham D. Riley, Nigel P. Topham, Stephen B. Furber
2015 J jnl
Place Recognition with Event-based Cameras and a Neural Implementation of SeqSLAM.
CoRR
Michael Milford, Hanme Kim, Michael Mangan, Stefan Leutenegger, Tom Stone, Barbara Webb, Andrew J. Davison
2015 — conf
Rapid free-space mapping from a single omnidirectional camera.
ECMR
Robert Lukierski, Stefan Leutenegger, Andrew J. Davison
2014 A* conf
A benchmark for RGB-D visual odometry, 3D reconstruction and SLAM.
ICRA
Ankur Handa, Thomas Whelan, John McDonald, Andrew J. Davison
2014 A* conf
Backscatter Compensated Photometric Stereo with 3 Sources.
CVPR
Chourmouzios Tsiotsios, Maria E. Angelopoulou, Tae-Kyun Kim, Andrew J. Davison
2014 A* conf
Dense planar SLAM.
ISMAR
Renato F. Salas-Moreno, Ben Glocker, Paul H. J. Kelly, Andrew J. Davison
2014 A* conf
Dense planar SLAM.
ISMAR
Renato F. Salas-Moreno, Ben Glocker, Paul H. J. Kelly, Andrew J. Davison
2014 J jnl
Introducing SLAMBench, a performance and accuracy benchmarking methodology for SLAM.
CoRR
Luigi Nardi, Bruno Bodin, M. Zeeshan Zia, John Mawer, Andy Nisbet, Paul H. J. Kelly, Andrew J. Davison, Mikel Luján, Michael F. P. O'Boyle, Graham D. Riley, Nigel P. Topham, Steve B. Furber
2014 — conf
Robust Real-Time Visual Odometry for Stereo Endoscopy Using Dense Quadrifocal Tracking.
IPCAI
Ping-Lin Chang, Ankur Handa, Andrew J. Davison, Danail Stoyanov, Philip J. Edwards
2014 A conf
Simultaneous Mosaicing and Tracking with an Event Camera.
BMVC
Hanme Kim, Ankur Handa, Ryad Benosman, Sio-Hoi Ieng, Andrew J. Davison
2013 A conf
Dense, Auto-Calibrating Visual Odometry from a Downward-Looking Camera.
BMVC
Jacek Zienkiewicz, Robert Lukierski, Andrew J. Davison
2013 J jnl
Gauge-SURF descriptors.
Image Vis. Comput.
Pablo F. Alcantarilla, Luis Miguel Bergasa, Andrew J. Davison
2013 — conf
Real-Time Dense Stereo Reconstruction Using Convex Optimisation with a Cost-Volume for Image-Guided Robotic Surgery.
MICCAI (1)
Ping-Lin Chang, Danail Stoyanov, Andrew J. Davison, Philip J. Edwards
2013 A* conf
SLAM++: Simultaneous Localisation and Mapping at the Level of Objects.
CVPR
Renato F. Salas-Moreno, Richard A. Newcombe, Hauke Strasdat, Paul H. J. Kelly, Andrew J. Davison
2012 — conf
KAZE Features.
ECCV (6)
Pablo Fernández Alcantarilla, Adrien Bartoli, Andrew J. Davison
2012 — conf
Real-Time Camera Tracking: When is High Frame-Rate Best?
ECCV (7)
Ankur Handa, Richard A. Newcombe, Adrien Angeli, Andrew J. Davison
2012 A* conf
Real-time surface light-field capture for augmentation of planar specular surfaces.
ISMAR
Jan Jachnik, Richard A. Newcombe, Andrew J. Davison
2012 — book
Structure from Motion using the Extended Kalman Filter
Javier Civera, Andrew J. Davison, José María Martínez Montiel
2012 J jnl
Visual SLAM: Why filter?
Image Vis. Comput.
Hauke Strasdat, J. M. M. Montiel, Andrew J. Davison
2011 B conf
Accurate visual odometry from a rear parking camera.
Intelligent Vehicles Symposium
Steven Lovegrove, Andrew J. Davison, Javier Ibañez-Guzmán
2011 A* conf
DTAM: Dense tracking and mapping in real-time.
ICCV
Richard A. Newcombe, Steven Lovegrove, Andrew J. Davison
2011 A* conf
Double window optimisation for constant time visual SLAM.
ICCV
Hauke Strasdat, Andrew J. Davison, J. M. M. Montiel, Kurt Konolige
2011 A* conf
KinectFusion: Real-time dense surface mapping and tracking.
ISMAR
Richard A. Newcombe, Shahram Izadi, Otmar Hilliges, David Molyneaux, David Kim, Andrew J. Davison, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Andrew W. Fitzgibbon
2011 A* conf
KinectFusion: real-time 3D reconstruction and interaction using a moving depth camera.
UIST
Shahram Izadi, David Kim, Otmar Hilliges, David Molyneaux, Richard A. Newcombe, Pushmeet Kohli, Jamie Shotton, Steve Hodges, Dustin Freeman, Andrew J. Davison, Andrew W. Fitzgibbon
2011 — conf
KinectFusion: real-time dynamic 3D surface reconstruction and interaction.
SIGGRAPH Talks
Shahram Izadi, Richard A. Newcombe, David Kim, Otmar Hilliges, David Molyneaux, Steve Hodges, Pushmeet Kohli, Jamie Shotton, Andrew J. Davison, Andrew W. Fitzgibbon
2011 — conf
Lightweight SLAM and Navigation with a Multi-Camera Rig.
ECMR
Gerardo Carrera, Adrien Angeli, Andrew J. Davison
2011 A* conf
SLAM-based automatic extrinsic calibration of a multi-camera rig.
ICRA
Gerardo Carrera, Adrien Angeli, Andrew J. Davison
2010 J jnl
1-Point RANSAC for extended Kalman filtering: Application to real-time structure from motion and visual odometry.
J. Field Robotics
Javier Civera, Oscar G. Grasa, Andrew J. Davison, J. M. M. Montiel
2010 A conf
Live Feature Clustering in Video Using Appearance and 3D Geometry.
BMVC
Adrien Angeli, Andrew J. Davison
2010 A* conf
Live dense reconstruction with a single moving camera.
CVPR
Richard A. Newcombe, Andrew J. Davison
2010 — conf
Real-Time Spherical Mosaicing Using Whole Image Alignment.
ECCV (3)
Steven Lovegrove, Andrew J. Davison
2010 A* conf
Real-time monocular SLAM: Why filter?
ICRA
Hauke Strasdat, J. M. M. Montiel, Andrew J. Davison
2010 A* conf
Scalable active matching.
CVPR
Ankur Handa, Margarita Chli, Hauke Strasdat, Andrew J. Davison
2010 — conf
Scale Drift-Aware Large Scale Monocular SLAM.
Robotics: Science and Systems
Hauke Strasdat, J. M. M. Montiel, Andrew J. Davison
2009 A conf
1-point RANSAC for EKF-based Structure from Motion.
IROS
Javier Civera, Oscar G. Grasa, Andrew J. Davison, J. M. M. Montiel
2009 J jnl
Active matching for visual tracking.
Robotics Auton. Syst.
Margarita Chli, Andrew J. Davison
2009 A* conf
Automatically and efficiently inferring the hierarchical structure of visual maps.
ICRA
Margarita Chli, Andrew J. Davison
2009 A* conf
Camera self-calibration for sequential Bayesian structure from motion.
ICRA
Javier Civera, Diana R. Bueno, Andrew J. Davison, J. M. M. Montiel
2009 J jnl
Drift-Free Real-Time Sequential Mosaicing.
Int. J. Comput. Vis.
Javier Civera, Andrew J. Davison, Juan A. Magallon, J. M. M. Montiel
2008 — conf
Active Matching.
ECCV (1)
Margarita Chli, Andrew J. Davison
2008 J jnl
Integrating Walking and Vision to Increase Humanoid Autonomy.
Int. J. Humanoid Robotics
Olivier Stasse, François Saïdi, Kazuhito Yokoi, Björn Verrelst, Bram Vanderborght, Andrew J. Davison, Nicolas Mansard, Claudia Esteves
2008 A* conf
Interacting multiple model monocular SLAM.
ICRA
Javier Civera, Andrew J. Davison, J. M. M. Montiel
2008 J jnl
Inverse Depth Parametrization for Monocular SLAM.
IEEE Trans. Robotics
Javier Civera, Andrew J. Davison, J. M. M. Montiel
2007 — conf
Dimensionless Monocular SLAM.
IbPRIA (2)
Javier Civera, Andrew J. Davison, J. M. M. Montiel
2007 A* conf
Integrating Walking and Vision to Increase Humanoid Robot Autonomy.
ICRA
Olivier Stasse, Björn Verrelst, Andrew J. Davison, Nicolas Mansard, Bram Vanderborght, Claudia Esteves, François Saïdi, Kazuhito Yokoi
2007 A* conf
Inverse Depth to Depth Conversion for Monocular SLAM.
ICRA
Javier Civera, Andrew J. Davison, J. M. M. Montiel
2007 — conf
Mapping Large Loops with a Single Hand-Held Camera.
Robotics: Science and Systems
Laura A. Clemente, Andrew J. Davison, Ian D. Reid, José Neira, Juan D. Tardós
2007 J jnl
MonoSLAM: Real-Time Single Camera SLAM.
IEEE Trans. Pattern Anal. Mach. Intell.
Andrew J. Davison, Ian D. Reid, Nicholas Molton, Olivier Stasse
2007 — conf
Vision-Based SLAM in Real-Time.
IbPRIA (1)
Andrew J. Davison
2006 A* conf
A Visual Compass based on SLAM.
ICRA
J. M. M. Montiel, Andrew J. Davison
2006 A* conf
Active Control for Single Camera SLAM.
ICRA
Teresa A. Vidal-Calleja, Andrew J. Davison, Juan Andrade-Cetto, David William Murray
2006 A conf
Real-Time Monocular SLAM with Straight Lines.
BMVC
Paul Smith, Ian Reid, Andrew J. Davison
2006 A conf
Real-time 3D SLAM for Humanoid Robot considering Pattern Generator Information.
IROS
Olivier Stasse, Andrew J. Davison, Ramzi Sellaouti, Kazuhito Yokoi
2006 — conf
Simultaneous Stereoscope Localization and Soft-Tissue Mapping for Minimal Invasive Surgery.
MICCAI (1)
Peter Mountney, Danail Stoyanov, Andrew J. Davison, Guang-Zhong Yang
2006 — conf
Unified Inverse Depth Parametrization for Monocular SLAM.
Robotics: Science and Systems
J. M. M. Montiel, Javier Civera, Andrew J. Davison
2005 A* conf
Active Search for Real-Time Vision.
ICCV
Andrew J. Davison
2004 A* conf
Advanced Visual Tracking.
ISMAR
Simon Julier, Andrew J. Davison, Andrew W. Fitzgibbon
2004 A conf
Interaction between hand and wearable camera in 2d and 3d environments.
BMVC
Walterio W. Mayol-Cuevas, Andrew J. Davison, Ben Tordoff, Nicholas Molton, David William Murray
2004 A conf
Locally Planar Patch Features for Real-Time Structure from Motion.
BMVC
Nicholas Molton, Andrew J. Davison, Ian Reid
2003 C conf
Applying Active Vision and SLAM to Wearables.
ISRR
Walterio W. Mayol-Cuevas, Andrew J. Davison, Ben Tordoff, David William Murray
2003 A* conf
Real-Time Localisation and Mapping with Wearable Active Vision.
ISMAR
Andrew J. Davison, Walterio W. Mayol-Cuevas, David William Murray
2003 A* conf
Real-Time Simultaneous Localisation and Mapping with a Single Camera.
ICCV
Andrew J. Davison
2003 A* conf
Real-Time Visual Workspace Localisation and Mapping for a Wearable Robot.
ISMAR
Andrew J. Davison, Walterio W. Mayol-Cuevas, David William Murray
2002 J jnl
Active visual localization for multiple inspection robots.
Adv. Robotics
Andrew J. Davison, Nobuyuki Kita
2002 J jnl
Simultaneous Localization and Map-Building Using Active Vision.
IEEE Trans. Pattern Anal. Mach. Intell.
Andrew J. Davison, David William Murray
2001 — conf
3D Simultaneous Localisation and Map-Building Using Active Vision for a Robot Moving on Undulating Terrain.
CVPR (1)
Andrew J. Davison, Nobuyuki Kita
2001 — conf
Automatic Partitioning of High Dimensional Search Spaces Associated with Articulated Body Motion Capture.
CVPR (2)
Jonathan Deutscher, Andrew J. Davison, Ian D. Reid
2001 J jnl
Sequential localisation and map-building for real-time computer vision and robotics.
Robotics Auton. Syst.
Andrew J. Davison, Nobuyuki Kita
2001 A conf
Towards constant time SLAM using postponement.
IROS
Joss Knight, Andrew J. Davison, Ian D. Reid
2000 A conf
Active visual localisation for cooperating inspection robots.
IROS
Andrew J. Davison, Nobuyuki Kita
2000 — conf
Panel Session on Extended Environments.
SMILE
Tomás Pajdla, J. P. Mellor, Camillo J. Taylor, Tomás Brodský, Andrew J. Davison
2000 — conf
Sequential Localisation and Map-Building in Computer Vision and Robotics.
SMILE
Andrew J. Davison, Nobuyuki Kita
1998 — conf
Mobile Robot Localisation Using Active Vision.
ECCV (2)
Andrew J. Davison, David William Murray
1998 J jnl
Mobile sensing robots for nuclear power plant inspection.
Adv. Robotics
Nobuyuki Kita, Andrew J. Davison, Yasuo Kuniyoshi, Isao Hara, Toshihiro Matsui, Sebastien Rougeaux, Toshio Hori, Shigeoki Hirai
1996 A conf
Steering and Navigation Behaviours Using Fixation.
BMVC
David William Murray, Ian D. Reid, Andrew J. Davison
1995 A conf
The Active Camera as a Projective Pointing Device.
BMVC
Andrew J. Davison, Ian D. Reid, David William Murray