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ORCIDAndrew J. Davison
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- affiliation: Imperial College London, UK
- not to be confused with: Andrew Davison 0001
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2020 – today
- 2023
[j30]Aalok Patwardhan
, Riku Murai, Andrew J. Davison:
Distributing Collaborative Multi-Robot Planning With Gaussian Belief Propagation. IEEE Robotics Autom. Lett. 8(2): 552-559 (2023)- [j29]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): 832-839 (2023) - [i60]Xin Kong, Shikun Liu, Marwan Taher, Andrew J. Davison:
vMAP: Vectorised Object Mapping for Neural Field SLAM. CoRR abs/2302.01838 (2023) - [i59]Eric Dexheimer, Andrew J. Davison:
Learning a Depth Covariance Function. CoRR abs/2303.12157 (2023) - 2022
- [j28]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): 154-180 (2022) - [j27]Stephen James, Andrew J. Davison:
Q-Attention: Enabling Efficient Learning for Vision-Based Robotic Manipulation. IEEE Robotics Autom. Lett. 7(2): 1612-1619 (2022) - [j26]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): 4299-4306 (2022) - [j25]Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns:
Auto-Lambda: Disentangling Dynamic Task Relationships. Trans. Mach. Learn. Res. 2022 (2022) - [c107]Tristan Laidlow, Andrew J. Davison:
Simultaneous Localisation and Mapping With Quadric Surfaces. 3DV 2022: 1-9 - [c106]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: 118-127 - [c105]Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison:
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation. CVPR 2022: 13729-13738 - [c104]Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison:
Bootstrapping Semantic Segmentation with Regional Contrast. ICLR 2022 - [c103]Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison:
Incremental Abstraction in Distributed Probabilistic SLAM Graphs. ICRA 2022: 7566-7572 - [c102]Kentaro Wada, Stephen James, Andrew J. Davison:
ReorientBot: Learning Object Reorientation for Specific-Posed Placement. ICRA 2022: 8252-8258 - [c101]Kentaro Wada, Stephen James, Andrew J. Davison:
SafePicking: Learning Safe Object Extraction via Object-Level Mapping. ICRA 2022: 10202-10208 - [c100]Binbin Xu, Andrew J. Davison, Stefan Leutenegger:
Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes. IROS 2022: 2257-2264 - [i58]Shikun Liu, Stephen James, Andrew J. Davison, Edward Johns:
Auto-Lambda: Disentangling Dynamic Task Relationships. CoRR abs/2202.03091 (2022) - [i57]Riku Murai, Joseph Ortiz, Sajad Saeedi, Paul H. J. Kelly, Andrew J. Davison:
A Robot Web for Distributed Many-Device Localisation. CoRR abs/2202.03314 (2022) - [i56]Kentaro Wada, Stephen James, Andrew J. Davison:
SafePicking: Learning Safe Object Extraction via Object-Level Mapping. CoRR abs/2202.05832 (2022) - [i55]Kentaro Wada, Stephen James, Andrew J. Davison:
ReorientBot: Learning Object Reorientation for Specific-Posed Placement. CoRR abs/2202.11092 (2022) - [i54]Tristan Laidlow, Andrew J. Davison:
Simultaneous Localisation and Mapping with Quadric Surfaces. CoRR abs/2203.08040 (2022) - [i53]Aalok Patwardhan, Riku Murai, Andrew J. Davison:
Distributing Collaborative Multi-Robot Planning with Gaussian Belief Propagation. CoRR abs/2203.11618 (2022) - [i52]Binbin Xu, Andrew J. Davison, Stefan Leutenegger:
Learning to Complete Object Shapes for Object-level Mapping in Dynamic Scenes. CoRR abs/2208.05067 (2022) - [i51]Kirill Mazur, Edgar Sucar, Andrew J. Davison:
Feature-Realistic Neural Fusion for Real-Time, Open Set Scene Understanding. CoRR abs/2210.03043 (2022) - [i50]Iain Haughton, Edgar Sucar, André Mouton, Edward Johns, Andrew J. Davison:
Real-time Mapping of Physical Scene Properties with an Autonomous Robot Experimenter. CoRR abs/2210.17325 (2022) - 2021
- [j24]Binbin Xu, Andrew J. Davison, Stefan Leutenegger:
Deep Probabilistic Feature-Metric Tracking. IEEE Robotics Autom. Lett. 6(1): 223-230 (2021) - [j23]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): 7105-7112 (2021) - [c99]Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison:
iMAP: Implicit Mapping and Positioning in Real-Time. ICCV 2021: 6209-6218 - [c98]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: 12992-13002 - [c97]Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, Andrew J. Davison:
In-Place Scene Labelling and Understanding with Implicit Scene Representation. ICCV 2021: 15818-15827 - [c96]Daniel James Lenton, Stephen James, Ronald Clark, Andrew J. Davison:
End-to-End Egospheric Spatial Memory. ICLR 2021 - [i49]Daniel Lenton, Stephen James, Ronald Clark, Andrew J. Davison:
End-to-End Egospheric Spatial Memory. CoRR abs/2102.07764 (2021) - [i48]Edgar Sucar, Shikun Liu, Joseph Ortiz, Andrew J. Davison:
iMAP: Implicit Mapping and Positioning in Real-Time. CoRR abs/2103.12352 (2021) - [i47]Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, Andrew J. Davison:
In-Place Scene Labelling and Understanding with Implicit Scene Representation. CoRR abs/2103.15875 (2021) - [i46]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 abs/2103.16442 (2021) - [i45]Shikun Liu, Shuaifeng Zhi, Edward Johns, Andrew J. Davison:
Bootstrapping Semantic Segmentation with Regional Contrast. CoRR abs/2104.04465 (2021) - [i44]Stephen James, Andrew J. Davison:
Q-attention: Enabling Efficient Learning for Vision-based Robotic Manipulation. CoRR abs/2105.14829 (2021) - [i43]Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison:
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation. CoRR abs/2106.12534 (2021) - [i42]Joseph Ortiz, Talfan Evans, Andrew J. Davison:
A visual introduction to Gaussian Belief Propagation. CoRR abs/2107.02308 (2021) - [i41]Hidenobu Matsuki, Raluca Scona, Jan Czarnowski, Andrew J. Davison:
CodeMapping: Real-Time Dense Mapping for Sparse SLAM using Compact Scene Representations. CoRR abs/2107.08994 (2021) - [i40]Joseph Ortiz, Talfan Evans, Edgar Sucar, Andrew J. Davison:
Incremental Abstraction in Distributed Probabilistic SLAM Graphs. CoRR abs/2109.06241 (2021) - [i39]Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison:
iLabel: Interactive Neural Scene Labelling. CoRR abs/2111.14637 (2021) - 2020
- [j22]Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison:
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. IEEE Robotics Autom. Lett. 5(2): 721-728 (2020) - [j21]Stephen James, Zicong Ma, David Rovick Arrojo, Andrew J. Davison:
RLBench: The Robot Learning Benchmark & Learning Environment. IEEE Robotics Autom. Lett. 5(2): 3019-3026 (2020) - [j20]Alessandro Bonardi, Stephen James, Andrew J. Davison:
Learning One-Shot Imitation From Humans Without Humans. IEEE Robotics Autom. Lett. 5(2): 3533-3539 (2020) - [c95]Edgar Sucar, Kentaro Wada, Andrew J. Davison:
NodeSLAM: Neural Object Descriptors for Multi-View Shape Reconstruction. 3DV 2020: 949-958 - [c94]Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison:
Bundle Adjustment on a Graph Processor. CVPR 2020: 2413-2422 - [c93]Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison:
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. CVPR 2020: 14528-14537 - [c92]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: 6884-6890 - [i38]Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison:
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. CoRR abs/2001.05049 (2020) - [i37]Zoe Landgraf, Fabian Falck, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
Comparing View-Based and Map-Based Semantic Labelling in Real-Time SLAM. CoRR abs/2002.10342 (2020) - [i36]Joseph Ortiz, Mark Pupilli, Stefan Leutenegger, Andrew J. Davison:
Bundle Adjustment on a Graph Processor. CoRR abs/2003.03134 (2020) - [i35]Kentaro Wada, Edgar Sucar, Stephen James, Daniel Lenton, Andrew J. Davison:
MoreFusion: Multi-object Reasoning for 6D Pose Estimation from Volumetric Fusion. CoRR abs/2004.04336 (2020) - [i34]Edgar Sucar, Kentaro Wada, Andrew J. Davison:
Neural Object Descriptors for Multi-View Shape Reconstruction. CoRR abs/2004.04485 (2020) - [i33]Binbin Xu, Andrew J. Davison, Stefan Leutenegger:
Deep Probabilistic Feature-metric Tracking. CoRR abs/2008.13504 (2020) - [i32]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 abs/2011.01975 (2020)
2010 – 2019
- 2019
- [c91]Shikun Liu, Edward Johns, Andrew J. Davison:
End-To-End Multi-Task Learning With Attention. CVPR 2019: 1871-1880 - [c90]Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
SceneCode: Monocular Dense Semantic Reconstruction Using Learned Encoded Scene Representations. CVPR 2019: 11776-11785 - [c89]Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
Learning Meshes for Dense Visual SLAM. ICCV 2019: 5854-5863 - [c88]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: 5231-5237 - [c87]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: 6351-6358 - [c86]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: 6699-6705 - [c85]Shikun Liu, Andrew J. Davison, Edward Johns:
Self-Supervised Generalisation with Meta Auxiliary Learning. NeurIPS 2019: 1677-1687 - [i31]Shikun Liu, Andrew J. Davison, Edward Johns:
Self-Supervised Generalisation with Meta Auxiliary Learning. CoRR abs/1901.08933 (2019) - [i30]Shuaifeng Zhi, Michael Bloesch, Stefan Leutenegger, Andrew J. Davison:
SceneCode: Monocular Dense Semantic Reconstruction using Learned Encoded Scene Representations. CoRR abs/1903.06482 (2019) - [i29]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 abs/1904.08405 (2019) - [i28]Stephen James, Marc Freese, Andrew J. Davison:
PyRep: Bringing V-REP to Deep Robot Learning. CoRR abs/1906.11176 (2019) - [i27]Stephen James, Zicong Ma, David Rovick Arrojo, Andrew J. Davison:
RLBench: The Robot Learning Benchmark & Learning Environment. CoRR abs/1909.12271 (2019) - [i26]Andrew J. Davison, Joseph Ortiz:
FutureMapping 2: Gaussian Belief Propagation for Spatial AI. CoRR abs/1910.14139 (2019) - [i25]Alessandro Bonardi, Stephen James, Andrew J. Davison:
Learning One-Shot Imitation from Humans without Humans. CoRR abs/1911.01103 (2019) - 2018
- [j19]Sejal Modha, Anil S. Thanki, Susan F. Cotmore, Andrew J. Davison, Joseph Hughes:
ViCTree: an automated framework for taxonomic classification from protein sequences. Bioinform. 34(13): 2195-2200 (2018) - [j18]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:
Navigating the Landscape for Real-Time Localization and Mapping for Robotics and Virtual and Augmented Reality. Proc. IEEE 106(11): 2020-2039 (2018) - [c84]John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger:
Fusion++: Volumetric Object-Level SLAM. 3DV 2018: 32-41 - [c83]Jan Matas, Stephen James, Andrew J. Davison:
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation. CoRL 2018: 734-743 - [c82]Stephen James, Michael Bloesch, Andrew J. Davison:
Task-Embedded Control Networks for Few-Shot Imitation Learning. CoRL 2018: 783-795 - [c81]Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CVPR 2018: 2560-2568 - [c80]Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
Learning to Solve Nonlinear Least Squares for Monocular Stereo. ECCV (8) 2018: 291-306 - [c79]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: 1-8 - [i24]Shikun Liu, Edward Johns, Andrew J. Davison:
End-to-End Multi-Task Learning with Attention. CoRR abs/1803.10704 (2018) - [i23]Andrew J. Davison:
FutureMapping: The Computational Structure of Spatial AI Systems. CoRR abs/1803.11288 (2018) - [i22]Michael Bloesch, Jan Czarnowski, Ronald Clark, Stefan Leutenegger, Andrew J. Davison:
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM. CoRR abs/1804.00874 (2018) - [i21]Jan Matas, Stephen James, Andrew J. Davison:
Sim-to-Real Reinforcement Learning for Deformable Object Manipulation. CoRR abs/1806.07851 (2018) - [i20]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:
Navigating the Landscape for Real-time Localisation and Mapping for Robotics and Virtual and Augmented Reality. CoRR abs/1808.06352 (2018) - [i19]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 abs/1808.06820 (2018) - [i18]John McCormac, Ronald Clark, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger:
Fusion++: Volumetric Object-Level SLAM. CoRR abs/1808.08378 (2018) - [i17]Ronald Clark, Michael Bloesch, Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo. CoRR abs/1809.02966 (2018) - [i16]Stephen James, Michael Bloesch, Andrew J. Davison:
Task-Embedded Control Networks for Few-Shot Imitation Learning. CoRR abs/1810.03237 (2018) - [i15]Binbin Xu, Wenbin Li, Dimos Tzoumanikas, Michael Bloesch, Andrew J. Davison, Stefan Leutenegger:
MID-Fusion: Octree-based Object-Level Multi-Instance Dynamic SLAM. CoRR abs/1812.07976 (2018) - 2017
- [j17]Chourmouzios Tsiotsios, Andrew J. Davison, Tae-Kyun Kim:
Near-lighting Photometric Stereo for unknown scene distance and medium attenuation. Image Vis. Comput. 57: 44-57 (2017) - [j16]Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison:
Compressed Voxel-Based Mapping Using Unsupervised Learning. Robotics 6(3): 15 (2017) - [c78]Stephen James, Andrew J. Davison, Edward Johns:
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task. CoRL 2017: 334-343 - [c77]John McCormac, Ankur Handa, Stefan Leutenegger, Andrew J. Davison:
SceneNet RGB-D: Can 5M Synthetic Images Beat Generic ImageNet Pre-training on Indoor Segmentation? ICCV 2017: 2697-2706 - [c76]Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
Semantic Texture for Robust Dense Tracking. ICCV Workshops 2017: 851-859 - [c75]John McCormac, Ankur Handa, Andrew J. Davison, Stefan Leutenegger:
SemanticFusion: Dense 3D semantic mapping with convolutional neural networks. ICRA 2017: 4628-4635 - [c74]Lukas Platinsky, Andrew J. Davison, Stefan Leutenegger:
Monocular visual odometry: Sparse joint optimisation or dense alternation? ICRA 2017: 5126-5133 - [c73]Sajad Saeedi, Luigi Nardi, Edward Johns, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison:
Application-oriented design space exploration for SLAM algorithms. ICRA 2017: 5716-5723 - [c72]Robert Lukierski, Stefan Leutenegger, Andrew J. Davison:
Room layout estimation from rapid omnidirectional exploration. ICRA 2017: 6315-6322 - [c71]Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly:
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper. IPDPS Workshops 2017: 1434-1443 - [i14]Luigi Nardi, Bruno Bodin, Sajad Saeedi, Emanuele Vespa, Andrew J. Davison, Paul H. J. Kelly:
Algorithmic Performance-Accuracy Trade-off in 3D Vision Applications Using HyperMapper. CoRR abs/1702.00505 (2017) - [i13]Stephen James, Andrew J. Davison, Edward Johns:
Transferring End-to-End Visuomotor Control from Simulation to Real World for a Multi-Stage Task. CoRR abs/1707.02267 (2017) - [i12]Jan Czarnowski, Stefan Leutenegger, Andrew J. Davison:
Semantic Texture for Robust Dense Tracking. CoRR abs/1708.08844 (2017) - 2016
- [j15]Chourmouzios Tsiotsios, Tae-Kyun Kim, Andrew J. Davison, Srinivasa G. Narasimhan:
Model effectiveness prediction and system adaptation for photometric stereo in murky water. Comput. Vis. Image Underst. 150: 126-138 (2016) - [j14]Thomas Whelan, Renato F. Salas-Moreno, Ben Glocker, Andrew J. Davison, Stefan Leutenegger:
ElasticFusion: Real-time dense SLAM and light source estimation. Int. J. Robotics Res. 35(14): 1697-1716 (2016) - [c70]Jacek Zienkiewicz, Akis Tsiotsios, Andrew J. Davison, Stefan Leutenegger:
Monocular, Real-Time Surface Reconstruction Using Dynamic Level of Detail. 3DV 2016: 37-46 - [c69]Patrick Bardow, Andrew J. Davison, Stefan Leutenegger:
Simultaneous Optical Flow and Intensity Estimation from an Event Camera. CVPR 2016: 884-892 - [c68]Edward Johns, Stefan Leutenegger, Andrew J. Davison:
Pairwise Decomposition of Image Sequences for Active Multi-view Recognition. CVPR 2016: 3813-3822 - [c67]Ankur Handa, Michael Bloesch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison:
gvnn: Neural Network Library for Geometric Computer Vision. ECCV Workshops (3) 2016: 67-82 - [c66]Hanme Kim, Stefan Leutenegger, Andrew J. Davison:
Real-Time 3D Reconstruction and 6-DoF Tracking with an Event Camera. ECCV (6) 2016: 349-364 - [c65]M. Zeeshan Zia, Luigi Nardi, Andrew Jack, Emanuele Vespa, Bruno Bodin, Paul H. J. Kelly, Andrew J. Davison:
Comparative design space exploration of dense and semi-dense SLAM. ICRA 2016: 1292-1299 - [c64]Jacek Zienkiewicz, Andrew J. Davison, Stefan Leutenegger:
Real-time height map fusion using differentiable rendering. IROS 2016: 4280-4287 - [c63]Edward Johns, Stefan Leutenegger, Andrew J. Davison:
Deep learning a grasp function for grasping under gripper pose uncertainty. IROS 2016: 4461-4468 - [i11]Chourmouzios Tsiotsios, Maria E. Angelopoulou, Andrew J. Davison, Tae-Kyun Kim:
Effective Backscatter Approximation for Photometry in Murky Water. CoRR abs/1604.08789 (2016) - [i10]Edward Johns, Stefan Leutenegger, Andrew J. Davison:
Pairwise Decomposition of Image Sequences for Active Multi-View Recognition. CoRR abs/1605.08359 (2016) - [i9]Ankur Handa, Michael Blösch, Viorica Patraucean, Simon Stent, John McCormac, Andrew J. Davison:
gvnn: Neural Network Library for Geometric Computer Vision. CoRR abs/1607.07405 (2016) - [i8]Edward Johns, Stefan Leutenegger, Andrew J. Davison:
Deep Learning a Grasp Function for Grasping under Gripper Pose Uncertainty. CoRR abs/1608.02239 (2016) - [i7]Daniel Ricao Canelhas, Erik Schaffernicht, Todor Stoyanov, Achim J. Lilienthal, Andrew J. Davison:
An Eigenshapes Approach to Compressed Signed Distance Fields and Their Utility in Robot Mapping. CoRR abs/1609.02462 (2016) - [i6]John McCormac, Ankur Handa, Andrew J. Davison, Stefan Leutenegger:
SemanticFusion: Dense 3D Semantic Mapping with Convolutional Neural Networks. CoRR abs/1609.05130 (2016) - [i5]