Tristan Laidlow

Publication Activity (10 Years)

Years Active: 2016-2023
Publications (10 Years): 23

Top Topics

Efficient Learning

Human Motion Tracking

Top Venues

IEEE Robotics Autom. Lett.

Publications

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)
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)
Tristan Laidlow, Andrew J. Davison
Simultaneous Localisation and Mapping with Quadric Surfaces. CoRR (2022)
Tristan Laidlow, Andrew J. Davison
Simultaneous Localisation and Mapping With Quadric Surfaces. 3DV (2022)
Tristan Laidlow, Michael Bloesch, Wenbin Li, Stefan Leutenegger
Dense RGB-D-Inertial SLAM with Map Deformations. CoRR (2022)
Dorian Henning, Tristan Laidlow, Stefan Leutenegger
BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking. ECCV (39) (2022)
Tristan Laidlow, Jan Czarnowski, Andrea Nicastro, Ronald Clark, Stefan Leutenegger
Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction. CoRR (2022)
Dorian Henning, Tristan Laidlow, Stefan Leutenegger
BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking. CoRR (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)
Tristan Laidlow, Jan Czarnowski, Stefan Leutenegger
DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions. CoRR (2022)
Stephen James, Kentaro Wada, Tristan Laidlow, Andrew J. Davison
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation. CoRR (2021)
Shuaifeng Zhi, Tristan Laidlow, Stefan Leutenegger, Andrew J. Davison
In-Place Scene Labelling and Understanding with Implicit Scene Representation. ICCV (2021)
Shuaifeng Zhi, Edgar Sucar, André Mouton, Iain Haughton, Tristan Laidlow, Andrew J. Davison
iLabel: Interactive Neural Scene Labelling. 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)
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)
Tristan Laidlow, Jan Czarnowski, Andrea Nicastro, Ronald Clark, Stefan Leutenegger
Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction. ICRA (2020)
Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. IEEE Robotics Autom. Lett. 5 (2) (2020)
Jan Czarnowski, Tristan Laidlow, Ronald Clark, Andrew J. Davison
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM. CoRR (2020)
Michael Bloesch, Tristan Laidlow, Ronald Clark, Stefan Leutenegger, Andrew J. Davison
Learning Meshes for Dense Visual SLAM. ICCV (2019)
Tristan Laidlow, Jan Czarnowski, Stefan Leutenegger
DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions. ICRA (2019)
Tristan Laidlow, Michael Bloesch, Wenbin Li, Stefan Leutenegger
Dense RGB-D-inertial SLAM with map deformations. IROS (2017)
Michael Bloesch, Hannes Sommer, Tristan Laidlow, Michael Burri, Gabriel Nützi, Peter Fankhauser, Dario Bellicoso, Christian Gehring, Stefan Leutenegger, Marco Hutter, Roland Siegwart
A Primer on the Differential Calculus of 3D Orientations. CoRR (2016)