7 citations · 7 across the 11 of their papers we have counts for
14 papers · 1 filter
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 localisation 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…