Andrew J. Davison

ORCID

Publication Activity (10 Years)

Years Active: 1995-2024
Publications (10 Years): 135

Top Venues

CoRR

ICRA

CVPR

IEEE Robotics Autom. Lett.

Publications

Ignacio Alzugaray, Riku Murai, Andrew J. Davison
PixRO: Pixel-Distributed Rotational Odometry with Gaussian Belief Propagation. CoRR (2024)
Aalok Patwardhan, Callum Rhodes, Gwangbin Bae, Andrew J. Davison
U-ARE-ME: Uncertainty-Aware Rotation Estimation in Manhattan Environments. CoRR (2024)
Riku Murai, Ignacio Alzugaray, Paul H. J. Kelly, Andrew J. Davison
Distributed Simultaneous Localisation and Auto-Calibration using Gaussian Belief Propagation. CoRR (2024)
Marwan Taher, Ignacio Alzugaray, Andrew J. Davison
Fit-NGP: Fitting Object Models to Neural Graphics Primitives. CoRR (2024)
Riku Murai, Ignacio Alzugaray, Paul H. J. Kelly, Andrew J. Davison
Distributed Simultaneous Localisation and Auto-Calibration Using Gaussian Belief Propagation. IEEE Robotics Autom. Lett. 9 (3) (2024)
Aalok Patwardhan, Andrew J. Davison
A Distributed Multi-Robot Framework for Exploration, Information Acquisition and Consensus. ICRA (2024)
Riku Murai, Joseph Ortiz, Sajad Saeedi G., Paul H. J. Kelly, Andrew J. Davison
A Robot Web for Distributed Many-Device Localization. IEEE Trans. Robotics 40 (2024)
Eric Dexheimer, Andrew J. Davison
COMO: Compact Mapping and Odometry. CoRR (2024)
Xin Kong, Shikun Liu, Xiaoyang Lyu, Marwan Taher, Xiaojuan Qi, Andrew J. Davison
EscherNet: A Generative Model for Scalable View Synthesis. CoRR (2024)
Gwangbin Bae, Andrew J. Davison
Rethinking Inductive Biases for Surface Normal Estimation. CoRR (2024)
Marwan Taher, Ignacio Alzugaray, Andrew J. Davison
Fit-NGP: Fitting Object Models to Neural Graphics Primitives. ICRA (2024)
Aalok Patwardhan, Andrew J. Davison
A Distributed Multi-Robot Framework for Exploration, Information Acquisition and Consensus. CoRR (2023)
Hidenobu Matsuki, Edgar Sucar, Tristan Laidlow, Kentaro Wada, Raluca Scona, Andrew J. Davison
iMODE:Real-Time Incremental Monocular Dense Mapping Using Neural Field. ICRA (2023)
Aalok Patwardhan, Riku Murai, Andrew J. Davison
Distributing Collaborative Multi-Robot Planning With Gaussian Belief Propagation. IEEE Robotics Autom. Lett. 8 (2) (2023)
Eric Dexheimer, Andrew J. Davison
Learning a Depth Covariance Function. CoRR (2023)
Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison
vMAP: Vectorised Object Mapping for Neural Field SLAM. CVPR (2023)
Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison
vMAP: Vectorised Object Mapping for Neural Field SLAM. CoRR (2023)
Hidenobu Matsuki, Riku Murai, Paul H. J. Kelly, Andrew J. Davison
Gaussian Splatting SLAM. CoRR (2023)
Kirill Mazur, Edgar Sucar, Andrew J. Davison
Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding. ICRA (2023)
Eric Dexheimer, Andrew J. Davison
Learning a Depth Covariance Function. CVPR (2023)
Seth Nabarro, Mark van der Wilk, Andrew J. Davison
Learning in Deep Factor Graphs with Gaussian Belief Propagation. CoRR (2023)
Kirill Mazur, Gwangbin Bae, Andrew J. Davison
SuperPrimitive: Scene Reconstruction at a Primitive Level. CoRR (2023)
Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison
iLabel: Revealing Objects in Neural Fields. IEEE Robotics Autom. Lett. 8 (2) (2023)
Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns
Auto-Lambda: Disentangling Dynamic Task Relationships. Trans. Mach. Learn. Res. 2022 (2022)
Tristan Laidlow, Andrew J. Davison
Simultaneous Localisation and Mapping with Quadric Surfaces. CoRR (2022)
Riku Murai, Joseph Ortiz, Sajad Saeedi, Paul H. J. Kelly, Andrew J. Davison
A Robot Web for Distributed Many-Device Localisation. CoRR (2022)
Aalok Patwardhan, Riku Murai, Andrew J. Davison
Distributing Collaborative Multi-Robot Planning with Gaussian Belief Propagation. CoRR (2022)
Kentaro Wada, Stephen James, Andrew J. Davison
ReorientBot: Learning Object Reorientation for Specific-Posed Placement. CoRR (2022)
Tristan Laidlow, Andrew J. Davison
Simultaneous Localisation and Mapping With Quadric Surfaces. 3DV (2022)
Kentaro Wada, Stephen James, Andrew J. Davison
SafePicking: Learning Safe Object Extraction via Object-Level Mapping. CoRR (2022)
Binbin Xu, Andrew J. Davison, Stefan Leutenegger
Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes. CoRR (2022)
Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter. CoRR (2022)
Binbin Xu, Andrew J. Davison, Stefan Leutenegger
Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes. IROS (2022)
Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison
Bootstrapping Semantic Segmentation with Regional Contrast. ICLR (2022)
Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns
Auto-Lambda: Disentangling Dynamic Task Relationships. CoRR (2022)
Kirill Mazur, Edgar Sucar, Andrew J. Davison
Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding. CoRR (2022)
Kentaro Wada, Stephen James, Andrew J. Davison
SafePicking: Learning Safe Object Extraction via Object-Level Mapping. ICRA (2022)
Raluca Scona, Hidenobu Matsuki, Andrew J. Davison
From Scene Flow to Visual Odometry Through Local and Global Regularisation in Markov Random Fields. IEEE Robotics Autom. Lett. 7 (2) (2022)
Kentaro Wada, Stephen James, Andrew J. Davison
ReorientBot: Learning Object Reorientation for Specific-Posed Placement. ICRA (2022)
Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation. CVPR (2022)
Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison
Incremental Abstraction in Distributed Probabilistic SLAM Graphs. ICRA (2022)
Stephen James, Andrew J. Davison
Q-Attention: Enabling Efficient Learning for Vision-Based Robotic Manipulation. IEEE Robotics Autom. Lett. 7 (2) (2022)
Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter. CoRL (2022)
Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza
Event-Based Vision: A Survey. IEEE Trans. Pattern Anal. Mach. Intell. 44 (1) (2022)
Hidenobu Matsuki, Raluca Scona, Jan Czarnowski, Andrew J. Davison
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations. CoRR (2021)
Binbin Xu, Andrew J. Davison, Stefan Leutenegger
Deep Probabilistic Feature-Metric Tracking. IEEE Robotics Autom. Lett. 6 (1) (2021)
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
iMAP: Implicit Mapping and Positioning in Real-Time. ICCV (2021)
Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison
Incremental Abstraction in Distributed Probabilistic SLAM Graphs. CoRR (2021)
Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation. CoRR (2021)
Stephen James, Andrew J. Davison
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation. CoRR (2021)
Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, Andrew J. Davison
In-Place Scene Labelling and Understanding with Implicit Scene Representation. ICCV (2021)
Hidenobu Matsuki, Raluca Scona, Jan Czarnowski, Andrew J. Davison
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations. IEEE Robotics Autom. Lett. 6 (4) (2021)
Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison
iLabel: Interactive Neural Scene Labelling. CoRR (2021)
Daniel James Lenton, Stephen James, Ronald Clark, Andrew J. Davison
End-to-End Egospheric Spatial Memory. ICLR (2021)
Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison
Bootstrapping Semantic Segmentation with Regional Contrast. CoRR (2021)
Zoe Landgraf, Raluca Scona, Tristan Laidlow, Stephen James, Stefan Leutenegger, Andrew J. Davison
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks. ICCV (2021)
Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, Andrew J. Davison
In-Place Scene Labelling and Understanding with Implicit Scene Representation. CoRR (2021)
Joseph Ortiz, Talfan Evans, Andrew J. Davison
A visual introduction to Gaussian Belief Propagation. CoRR (2021)
Zoe Landgraf, Raluca Scona, Tristan Laidlow, Stephen James, Stefan Leutenegger, Andrew J. Davison
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks. CoRR (2021)
Daniel Lenton, Stephen James, Ronald Clark, Andrew J. Davison
End-to-End Egospheric Spatial Memory. CoRR (2021)
Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison
iMAP: Implicit Mapping and Positioning in Real-Time. CoRR (2021)
Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. CoRR (2020)
Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison
Bundle Adjustment on a Graph Processor. CoRR (2020)
Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. CVPR (2020)
Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison
Bundle Adjustment on a Graph Processor. CVPR (2020)
Stephen James, Zicong Ma, David Rovick Arrojo, Andrew J. Davison
RLBench: The Robot Learning Benchmark & Learning Environment. IEEE Robotics Autom. Lett. 5 (2) (2020)
Alessandro Bonardi, Stephen James, Andrew J. Davison
Learning One-Shot Imitation From Humans Without Humans. IEEE Robotics Autom. Lett. 5 (2) (2020)
Binbin Xu, Andrew J. Davison, Stefan Leutenegger
Deep Probabilistic Feature-metric Tracking. CoRR (2020)
Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. ICRA (2020)
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
Rearrangement: A Challenge for Embodied AI. CoRR (2020)
Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. IEEE Robotics Autom. Lett. 5 (2) (2020)
Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. CoRR (2020)
Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. CoRR (2020)
Shikun Liu, Edward Johns, Andrew J. Davison
End-To-End Multi-Task Learning With Attention. CVPR (2019)
Shikun Liu, Andrew J. Davison, Edward Johns
Self-Supervised Generalisation with Meta Auxiliary Learning. NeurIPS (2019)
Stephen James, Zicong Ma, David Rovick Arrojo, Andrew J. Davison
RLBench: The Robot Learning Benchmark & Learning Environment. CoRR (2019)
Sajad Saeedi, Eduardo D. C. Carvalho, Wenbin Li, Dimos Tzoumanikas, Stefan Leutenegger, Paul H. J. Kelly, Andrew J. Davison
Characterizing Visual Localization and Mapping Datasets. ICRA (2019)
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. ICRA (2019)
Andrew J. Davison, Joseph Ortiz
FutureMapping 2: Gaussian Belief Propagation for Spatial AI. CoRR (2019)
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. CVPR (2019)
Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
Learning Meshes for Dense Visual SLAM. ICCV (2019)
Guillermo Gallego, Tobi Delbrück, Garrick Orchard, Chiara Bartolozzi, Brian Taba, Andrea Censi, Stefan Leutenegger, Andrew J. Davison, Jörg Conradt, Kostas Daniilidis, Davide Scaramuzza
Event-based Vision: A Survey. CoRR (2019)
Alessandro Bonardi, Stephen James, Andrew J. Davison
Learning One-Shot Imitation from Humans without Humans. CoRR (2019)
Shikun Liu, Andrew J. Davison, Edward Johns
Self-Supervised Generalisation with Meta Auxiliary Learning. CoRR (2019)
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
SLAMBench 3.0: Systematic Automated Reproducible Evaluation of SLAM Systems for Robot Vision Challenges and Scene Understanding. ICRA (2019)
Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations. CoRR (2019)
Stephen James, Marc Freese, Andrew J. Davison
PyRep: Bringing V-REP to Deep Robot Learning. CoRR (2019)
Shikun Liu, Edward Johns, Andrew J. Davison
End-to-End Multi-Task Learning with Attention. CoRR (2018)
John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
Fusion++: Volumetric Object-Level SLAM. 3DV (2018)
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
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM. ICRA (2018)
Jan Matas, Stephen James, Andrew J. Davison
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation. CoRL (2018)
Jan Matas, Stephen James, Andrew J. Davison
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation. CoRR (2018)
Andrew J. Davison
FutureMapping: The Computational Structure of Spatial AI Systems. CoRR (2018)
John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
Fusion++: Volumetric Object-Level SLAM. CoRR (2018)
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CoRR (2018)
Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison
Learning to Solve Nonlinear Least Squares for Monocular Stereo. ECCV (8) (2018)
Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CVPR (2018)
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
SLAMBench2: Multi-Objective Head-to-Head Benchmarking for Visual SLAM. CoRR (2018)
Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. CoRR (2018)
Stephen James, Michael Bloesch, Andrew J. Davison
Task-Embedded Control Networks for Few-Shot Imitation Learning. CoRL (2018)

Andrew J. Davison.css-eqlu8i{font-size:small;padding-left:4px;}

Publication Activity (10 Years)

Top Topics

Top Venues

Andrew J. Davison