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08/08/2023
Semantic Interpretation and Validation of Graph Attention-based Explanations for GNN Models
In this work, we propose a methodology for investigating the application...
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08/07/2023
SEM-GAT: Explainable Semantic Pose Estimation using Learned Graph Attention
This paper proposes a GNN-based method for exploiting semantics and loca...
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06/26/2023
Visual Servoing on Wheels: Robust Robot Orientation Estimation in Remote Viewpoint Control
This work proposes a fast deployment pipeline for visually-servoed robot...
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04/25/2023
Roll-Drop: accounting for observation noise with a single parameter
This paper proposes a simple strategy for sim-to-real in Deep-Reinforcem...
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04/20/2023
Visual DNA: Representing and Comparing Images using Distributions of Neuron Activations
Selecting appropriate datasets is critical in modern computer vision. Ho...
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02/07/2023
Explainable Action Prediction through Self-Supervision on Scene Graphs
This work explores scene graphs as a distilled representation of high-le...
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07/31/2022
Sampling, Communication, and Prediction Co-Design for Synchronizing the Real-World Device and Digital Model in Metaverse
The metaverse has the potential to revolutionize the next generation of ...
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06/30/2022
BoxGraph: Semantic Place Recognition and Pose Estimation from 3D LiDAR
This paper is about extremely robust and lightweight localisation using ...
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06/21/2022
What Goes Around: Leveraging a Constant-curvature Motion Constraint in Radar Odometry
This paper presents a method that leverages vehicle motion constraints t...
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03/07/2022
Depth-SIMS: Semi-Parametric Image and Depth Synthesis
In this paper we present a compositing image synthesis method that gener...
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03/01/2022
Fast-MbyM: Leveraging Translational Invariance of the Fourier Transform for Efficient and Accurate Radar Odometry
Masking By Moving (MByM), provides robust and accurate radar odometry me...
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11/04/2021
Unsupervised Change Detection of Extreme Events Using ML On-Board
In this paper, we introduce RaVAEn, a lightweight, unsupervised approach...
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10/06/2021
Contrastive Learning for Unsupervised Radar Place Recognition
We learn, in an unsupervised way, an embedding from sequences of radar i...
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06/16/2021
The Oxford Road Boundaries Dataset
In this paper we present the Oxford Road Boundaries Dataset, designed fo...
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06/12/2021
Unsupervised Place Recognition with Deep Embedding Learning over Radar Videos
We learn, in an unsupervised way, an embedding from sequences of radar i...
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03/01/2021
Fool Me Once: Robust Selective Segmentation via Out-of-Distribution Detection with Contrastive Learning
In this work, we train a network to simultaneously perform segmentation ...
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02/25/2021
CPG-ACTOR: Reinforcement Learning for Central Pattern Generators
Central Pattern Generators (CPGs) have several properties desirable for ...
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12/17/2020
RainBench: Towards Global Precipitation Forecasting from Satellite Imagery
Extreme precipitation events, such as violent rainfall and hail storms, ...
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06/03/2020
Self-Supervised Localisation between Range Sensors and Overhead Imagery
Publicly available satellite imagery can be an ubiquitous, cheap, and po...
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05/11/2020
Keep off the Grass: Permissible Driving Routes from Radar with Weak Audio Supervision
Reliable outdoor deployment of mobile robots requires the robust identif...
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05/05/2020
Sense-Assess-eXplain (SAX): Building Trust in Autonomous Vehicles in Challenging Real-World Driving Scenarios
This paper discusses ongoing work in demonstrating research in mobile au...
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04/02/2020
RSS-Net: Weakly-Supervised Multi-Class Semantic Segmentation with FMCW Radar
This paper presents an efficient annotation procedure and an application...
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03/10/2020
Look Around You: Sequence-based Radar Place Recognition with Learned Rotational Invariance
This paper details an application which yields significant improvements ...
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01/26/2020
Kidnapped Radar: Topological Radar Localisation using Rotationally-Invariant Metric Learning
This paper presents a system for robust, large-scale topological localis...
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01/09/2020
RSL-Net: Localising in Satellite Images From a Radar on the Ground
This paper is about localising a vehicle in an overhead image using FMCW...
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04/13/2018
