7 citations · 7 across the 13 of their papers we have counts for
14 papers
Breaking Déjà Vu: Independent Auditing of Visual Place Recognition through Vision-Language Reasoning
Sania Waheed, Michael Milford, Sarvapali D. Ramchurn +1
Visual place recognition (VPR) is a key enabler of accurate localization and long-term autonomous navigation in robotics applications, such as loop closure detection for simultaneo…
Joint Multi-Condition Representation Modelling via Matrix Factorisation for Visual Place Recognition
Timur Ismagilov, Shakaiba Majeed, Michael Milford +3
We address multi-reference visual place recognition (VPR), where reference sets captured under varying conditions are used to improve localization performance. While deep learning…
Through the Lens of Doubt: Robust and Efficient Uncertainty Estimation for Visual Place Recognition
Emily Miller, Michael Milford, Muhammad Burhan Hafez +2
Visual Place Recognition (VPR) enables robots and autonomous vehicles to identify previously visited locations by matching current observations against a database of known places.…
Assessing the Geolocation Capabilities, Limitations and Societal Risks of Generative Vision-Language Models
Oliver Grainge, Sania Waheed, Jack Stilgoe +2
Geo-localization is the task of identifying the location of an image using visual cues alone. It has beneficial applications, such as improving disaster response, enhancing navigat…
VLM-Guided Visual Place Recognition for Planet-Scale Geo-Localization
Sania Waheed, Na Min An, Michael Milford +2
Geo-localization from a single image at planet scale (essentially an advanced or extreme version of the kidnapped robot problem) is a fundamental and challenging task in applicatio…
TAT-VPR: Ternary Adaptive Transformer for Dynamic and Efficient Visual Place Recognition
Oliver Grainge, Michael Milford, Indu Bodala +2
TAT-VPR is a ternary-quantized transformer that brings dynamic accuracy-efficiency trade-offs to visual SLAM loop-closure. By fusing ternary weights with a learned activation-spars…
TeTRA-VPR: A Ternary Transformer Approach for Compact Visual Place Recognition
Oliver Grainge, Michael Milford, Indu Bodala +2
Visual Place Recognition (VPR) localizes a query image by matching it against a database of geo-tagged reference images, making it essential for navigation and mapping in robotics.…
Image-based Geo-localization for Robotics: Are Black-box Vision-Language Models there yet?
Sania Waheed, Bruno Ferrarini, Michael Milford +2
The advances in Vision-Language models (VLMs) offer exciting opportunities for robotic applications involving image geo-localization - the problem of identifying the geo-coordinate…
On Motion Blur and Deblurring in Visual Place Recognition
Timur Ismagilov, Bruno Ferrarini, Michael Milford +3
Visual Place Recognition (VPR) in mobile robotics enables robots to localize themselves by recognizing previously visited locations using visual data. While the reliability of VPR…
Structured Pruning for Efficient Visual Place Recognition
Oliver Grainge, Michael Milford, Indu Bodala +2
Visual Place Recognition (VPR) is fundamental for the global re-localization of robots and devices, enabling them to recognize previously visited locations based on visual inputs.…
Employing Universal Voting Schemes for Improved Visual Place Recognition Performance
Maria Waheed, Michael Milford, Xiaojun Zhai +3
Visual Place Recognition has been the subject of many endeavours utilizing different ensemble approaches to improve VPR performance. Ideas like multi-process fusion, Fly-Inspired V…
Multi-Technique Sequential Information Consistency For Dynamic Visual Place Recognition In Changing Environments
Bruno Arcanjo, Bruno Ferrarini, Michael Milford +2
Visual place recognition (VPR) is an essential component of robot navigation and localization systems that allows them to identify a place using only image data. VPR is challenging…
Aggregating Multiple Bio-Inspired Image Region Classifiers For Effective And Lightweight Visual Place Recognition
Bruno Arcanjo, Bruno Ferrarini, Maria Fasli +3
Visual place recognition (VPR) enables autonomous systems to localize themselves within an environment using image information. While VPR techniques built upon a Convolutional Neur…
Design Space Exploration of Low-Bit Quantized Neural Networks for Visual Place Recognition
Oliver Grainge, Michael Milford, Indu Bodala +2
Visual Place Recognition (VPR) is a critical task for performing global re-localization in visual perception systems. It requires the ability to accurately recognize a previously v…