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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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11/05/2021
TermiNeRF: Ray Termination Prediction for Efficient Neural Rendering
Volume rendering using neural fields has shown great promise in capturin...
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02/15/2021
End-to-End Egospheric Spatial Memory
Spatial memory, or the ability to remember and recall specific locations...
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02/04/2021
Ivy: Templated Deep Learning for Inter-Framework Portability
We introduce Ivy, a templated Deep Learning (DL) framework which abstrac...
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11/30/2020
Learning To Find Shortest Collision-Free Paths From Images
Motion planning is a fundamental problem in robotics and machine percept...
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09/10/2020
Orientation Keypoints for 6D Human Pose Estimation
Most realtime human pose estimation approaches are based on detecting jo...
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08/31/2020
LaDDer: Latent Data Distribution Modelling with a Generative Prior
In this paper, we show that the performance of a learnt generative model...
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03/06/2020
Scalable Uncertainty for Computer Vision with Functional Variational Inference
As Deep Learning continues to yield successful applications in Computer ...
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03/05/2020
PointLoc: Deep Pose Regressor for LiDAR Point Cloud Localization
In this paper, we present a novel end-to-end learning-based LiDAR reloca...
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01/14/2020
DeepFactors: Real-Time Probabilistic Dense Monocular SLAM
The ability to estimate rich geometry and camera motion from monocular i...
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09/09/2019
Balancing Reconstruction Quality and Regularisation in ELBO for VAEs
A trade-off exists between reconstruction quality and the prior regulari...
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06/04/2019
Learning Object Bounding Boxes for 3D Instance Segmentation on Point Clouds
We propose a novel, conceptually simple and general framework for instan...
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03/03/2019
X-Section: Cross-section Prediction for Enhanced RGBD Fusion
Detailed 3D reconstruction is an important challenge with application to...
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02/16/2019
WiSE-VAE: Wide Sample Estimator VAE
Variational Auto-encoders (VAEs) have been very successful as methods fo...
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09/09/2018
LS-Net: Learning to Solve Nonlinear Least Squares for Monocular Stereo
Sum-of-squares objective functions are very popular in computer vision a...
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09/03/2018
InteriorNet: Mega-scale Multi-sensor Photo-realistic Indoor Scenes Dataset
Datasets have gained an enormous amount of popularity in the computer vi...
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08/25/2018
Fusion++: Volumetric Object-Level SLAM
We propose an online object-level SLAM system which builds a persistent ...
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04/03/2018
CodeSLAM - Learning a Compact, Optimisable Representation for Dense Visual SLAM
The representation of geometry in real-time 3D perception systems contin...
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09/25/2017
DeepVO: Towards End-to-End Visual Odometry with Deep Recurrent Convolutional Neural Networks
This paper studies monocular visual odometry (VO) problem. Most of exist...
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08/26/2017
3D Object Reconstruction from a Single Depth View with Adversarial Learning
In this paper, we propose a novel 3D-RecGAN approach, which reconstructs...
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02/21/2017
VidLoc: A Deep Spatio-Temporal Model for 6-DoF Video-Clip Relocalization
Machine learning techniques, namely convolutional neural networks (CNN) ...
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01/29/2017
