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07/27/2022
Towards the Probabilistic Fusion of Learned Priors into Standard Pipelines for 3D Reconstruction
The best way to combine the results of deep learning with standard 3D re...
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07/25/2022
DeepFusion: Real-Time Dense 3D Reconstruction for Monocular SLAM using Single-View Depth and Gradient Predictions
While the keypoint-based maps created by sparse monocular simultaneous l...
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07/22/2022
Dense RGB-D-Inertial SLAM with Map Deformations
While dense visual SLAM methods are capable of estimating dense reconstr...
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05/04/2022
BodySLAM: Joint Camera Localisation, Mapping, and Human Motion Tracking
Estimating human motion from video is an active research area due to its...
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03/15/2022
Simultaneous Localisation and Mapping with Quadric Surfaces
There are many possibilities for how to represent the map in simultaneou...
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11/29/2021
iLabel: Interactive Neural Scene Labelling
Joint representation of geometry, colour and semantics using a 3D neural...
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06/23/2021
Coarse-to-Fine Q-attention: Efficient Learning for Visual Robotic Manipulation via Discretisation
Reflecting on the last few years, the biggest breakthroughs in deep rein...
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03/30/2021
SIMstack: A Generative Shape and Instance Model for Unordered Object Stacks
By estimating 3D shape and instances from a single view, we can capture ...
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03/29/2021
In-Place Scene Labelling and Understanding with Implicit Scene Representation
Semantic labelling is highly correlated with geometry and radiance recon...
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01/14/2020