Tristan Laidlow
Tristan Laidlow
Verified email at imperial.ac.uk
Title
Cited by
Cited by
Year
Dense RGB-D-inertial SLAM with map deformations
T Laidlow, M Bloesch, W Li, S Leutenegger
2017 IEEE/RSJ International Conference on Intelligent Robots and Systems …, 2017
392017
A primer on the differential calculus of 3d orientations
M Bloesch, H Sommer, T Laidlow, M Burri, G Nuetzi, P Fankhauser, ...
arXiv preprint arXiv:1606.05285, 2016
392016
Deepfactors: Real-time probabilistic dense monocular slam
J Czarnowski, T Laidlow, R Clark, AJ Davison
IEEE Robotics and Automation Letters 5 (2), 721-728, 2020
282020
DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions
T Laidlow, J Czarnowski, S Leutenegger
2019 International Conference on Robotics and Automation (ICRA), 4068-4074, 2019
162019
Learning meshes for dense visual SLAM
M Bloesch, T Laidlow, R Clark, S Leutenegger, AJ Davison
Proceedings of the IEEE/CVF International Conference on Computer Vision …, 2019
42019
Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction
T Laidlow, J Czarnowski, A Nicastro, R Clark, S Leutenegger
2020 IEEE International Conference on Robotics and Automation (ICRA), 7373-7379, 2020
12020
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks
Z Landgraf, R Scona, T Laidlow, S James, S Leutenegger, AJ Davison
arXiv preprint arXiv:2103.16442, 2021
2021
In-Place Scene Labelling and Understanding with Implicit Scene Representation
S Zhi, T Laidlow, S Leutenegger, AJ Davison
arXiv preprint arXiv:2103.15875, 2021
2021
Robust multimodal dense SLAM
TW Laidlow
Imperial College London, 2019
2019
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Articles 1–9