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09/05/2023
Domain Adaptation for Satellite-Borne Hyperspectral Cloud Detection
The advent of satellite-borne machine learning hardware accelerators has...
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09/04/2023
High Frequency, High Accuracy Pointing onboard Nanosats using Neuromorphic Event Sensing and Piezoelectric Actuation
As satellites become smaller, the ability to maintain stable pointing de...
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08/28/2023
Direct initial orbit determination
Initial orbit determination (IOD) is an important early step in the proc...
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07/04/2023
Semantic Segmentation on 3D Point Clouds with High Density Variations
LiDAR scanning for surveying applications acquire measurements over wide...
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05/02/2023
Federated Neural Radiance Fields
The ability of neural radiance fields or NeRFs to conduct accurate 3D mo...
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03/22/2023
Training Multilayer Perceptrons by Sampling with Quantum Annealers
A successful application of quantum annealing to machine learning is tra...
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10/02/2022
ROSIA: Rotation-Search-Based Star Identification Algorithm
Solving the star identification (Star-ID) problem with a rotation-search...
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09/27/2022
Globally Optimal Event-Based Divergence Estimation for Ventral Landing
Event sensing is a major component in bio-inspired flight guidance and c...
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09/24/2022
Towards Bridging the Space Domain Gap for Satellite Pose Estimation using Event Sensing
Deep models trained using synthetic data require domain adaptation to br...
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03/09/2022
Update Compression for Deep Neural Networks on the Edge
An increasing number of artificial intelligence (AI) applications involv...
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03/02/2022
Asynchronous Optimisation for Event-based Visual Odometry
Event cameras open up new possibilities for robotic perception due to th...
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01/25/2022
A Hybrid Quantum-Classical Algorithm for Robust Fitting
Fitting geometric models onto outlier contaminated data is provably intr...
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12/03/2021
Adversarial Attacks against a Satellite-borne Multispectral Cloud Detector
Data collected by Earth-observing (EO) satellites are often afflicted by...
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12/02/2021
Maximum Consensus by Weighted Influences of Monotone Boolean Functions
Robust model fitting is a fundamental problem in computer vision: used t...
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10/22/2021
Occlusion-Robust Object Pose Estimation with Holistic Representation
Practical object pose estimation demands robustness against occlusions t...
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09/27/2021
Robotic Vision for Space Mining
Future Moon bases will likely be constructed using resources mined from ...
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08/26/2021
Physical Adversarial Attacks on an Aerial Imagery Object Detector
Deep neural networks (DNNs) have become essential for processing the vas...
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07/05/2021
Quantum Annealing Formulation for Binary Neural Networks
Quantum annealing is a promising paradigm for building practical quantum...
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06/15/2021
A Spacecraft Dataset for Detection, Segmentation and Parts Recognition
Virtually all aspects of modern life depend on space technology. Thanks ...
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05/08/2021
Learning to Predict Repeatability of Interest Points
Many robotics applications require interest points that are highly repea...
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03/15/2021
Rotation Coordinate Descent for Fast Globally Optimal Rotation Averaging
Under mild conditions on the noise level of the measurements, rotation a...
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03/10/2021
Spatiotemporal Registration for Event-based Visual Odometry
A useful application of event sensing is visual odometry, especially in ...
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03/06/2021
Consensus Maximisation Using Influences of Monotone Boolean Functions
Consensus maximisation (MaxCon), which is widely used for robust fitting...
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01/02/2021
Semantics for Robotic Mapping, Perception and Interaction: A Survey
For robots to navigate and interact more richly with the world around th...
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11/01/2020
HM4: Hidden Markov Model with Memory Management for Visual Place Recognition
Visual place recognition needs to be robust against appearance variabili...
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10/05/2020
Monocular Rotational Odometry with Incremental Rotation Averaging and Loop Closure
Estimating absolute camera orientations is essential for attitude estima...
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06/12/2020
Quantum Robust Fitting
Many computer vision applications need to recover structure from imperfe...
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06/04/2020
Unsupervised Depth Learning in Challenging Indoor Video: Weak Rectification to Rescue
Single-view depth estimation using CNNs trained from unlabelled videos h...
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05/11/2020
Monotone Boolean Functions, Feasibility/Infeasibility, LP-type problems and MaxCon
This paper outlines connections between Monotone Boolean Functions, LP-T...
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03/21/2020
Topological Sweep for Multi-Target Detection of Geostationary Space Objects
Conducting surveillance of the Earth's orbit is a key task towards achie...
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02/25/2020
Globally Optimal Contrast Maximisation for Event-based Motion Estimation
Contrast maximisation estimates the motion captured in an event stream b...
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12/10/2019
NeuRoRA: Neural Robust Rotation Averaging
Multiple rotation averaging is an essential task for structure from moti...
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09/26/2019
Resolving Marker Pose Ambiguity by Robust Rotation Averaging with Clique Constraints
Planar markers are useful in robotics and computer vision for mapping an...
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09/13/2019
BPnP: Further Empowering End-to-End Learning with Back-Propagatable Geometric Optimization
In this paper we present BPnP, a novel method to do back-propagation thr...
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08/30/2019
Satellite Pose Estimation with Deep Landmark Regression and Nonlinear Pose Refinement
We propose an approach to estimate the 6DOF pose of a satellite, relativ...
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08/06/2019
Consensus Maximization Tree Search Revisited
Consensus maximization is widely used for robust fitting in computer vis...
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08/01/2019
Scalable Place Recognition Under Appearance Change for Autonomous Driving
A major challenge in place recognition for autonomous driving is to be r...
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06/19/2019
Event-based Star Tracking via Multiresolution Progressive Hough Transforms
Star trackers are state-of-the-art attitude estimation devices which fun...
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02/11/2019
Visual SLAM: Why Bundle Adjust?
Bundle adjustment plays a vital role in feature-based monocular SLAM. In...
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02/05/2019
A Practical Maximum Clique Algorithm for Matching with Pairwise Constraints
A popular paradigm for 3D point cloud registration is by extracting 3D k...
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12/07/2018
Star Tracking using an Event Camera
Star trackers are primarily optical devices that are used to estimate th...
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11/25/2018
Practical optimal registration of terrestrial LiDAR scan pairs
Point cloud registration is a fundamental problem in 3D scanning. In thi...
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11/20/2018
Practical Visual Localization for Autonomous Driving: Why Not Filter?
A major focus of current research on place recognition is visual localiz...
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07/25/2018
Deterministic consensus maximization with biconvex programming
Consensus maximization is one of the most widely used robust fitting par...
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06/16/2018
G2D: from GTA to Data
This document describes G2D, a software that enables capturing videos fr...
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02/18/2018
Robust Fitting in Computer Vision: Easy or Hard?
Robust model fitting plays a vital role in computer vision, and research...
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11/28/2017
Guaranteed Outlier Removal for Point Cloud Registration with Correspondences
An established approach for 3D point cloud registration is to estimate t...
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10/27/2017
Deterministic Approximate Methods for Maximum Consensus Robust Fitting
Maximum consensus estimation plays a critically important role in robust...
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07/18/2017
Coresets for Triangulation
Multiple-view triangulation by ℓ_∞ minimisation has become established i...
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05/03/2017