Tristan Laidlow

According to our database, Tristan Laidlow authored at least 14 papers between 2016 and 2023.

Collaborative distances:

• Dijkstra number of five.
• Erdős number of four.

2023

iLabel: Revealing Objects in Neural Fields.

Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison

IEEE Robotics Autom. Lett., 2023

iMODE:Real-Time Incremental Monocular Dense Mapping Using Neural Field.

Hidenobu Matsuki, Edgar Sucar, Tristan Laidlow, Kentaro Wada, Raluca Scona, Andrew J. Davison

Proceedings of the IEEE International Conference on Robotics and Automation, 2023

2022

BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking.

Dorian Henning, Tristan Laidlow, Stefan Leutenegger

Proceedings of the Computer Vision - ECCV 2022, 2022

Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation.

Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison

Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition, 2022

Simultaneous Localisation and Mapping With Quadric Surfaces.

Tristan Laidlow, Andrew J. Davison

Proceedings of the International Conference on 3D Vision, 2022

2021

iLabel: Interactive Neural Scene Labelling.

Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison

CoRR, 2021

In-Place Scene Labelling and Understanding with Implicit Scene Representation.

Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, Andrew J. Davison

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks.

Zoe Landgraf, Raluca Scona, Tristan Laidlow, Stephen James, Stefan Leutenegger, Andrew J. Davison

Proceedings of the 2021 IEEE/CVF International Conference on Computer Vision, 2021

2020

DeepFactors: Real-Time Probabilistic Dense Monocular SLAM.

Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison

IEEE Robotics Autom. Lett., 2020

Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction.

Tristan Laidlow, Jan Czarnowski, Andrea Nicastro, Ronald Clark, Stefan Leutenegger

Proceedings of the 2020 IEEE International Conference on Robotics and Automation, 2020

2019

DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions.

Tristan Laidlow, Jan Czarnowski, Stefan Leutenegger

Proceedings of the International Conference on Robotics and Automation, 2019

Learning Meshes for Dense Visual SLAM.

Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison

Proceedings of the 2019 IEEE/CVF International Conference on Computer Vision, 2019

2017

Dense RGB-D-inertial SLAM with map deformations.

Tristan Laidlow, Michael Bloesch, Wenbin Li, Stefan Leutenegger

Proceedings of the 2017 IEEE/RSJ International Conference on Intelligent Robots and Systems, 2017

2016

A Primer on the Differential Calculus of 3D Orientations.

Michael Bloesch, Hannes Sommer, Tristan Laidlow, Michael Burri, Gabriel Nützi, Peter Fankhauser, Dario Bellicoso, Christian Gehring, Stefan Leutenegger, Marco Hutter, Roland Siegwart

CoRR, 2016