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20232026
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cs.CV2026

Hierarchy-GBP: Accelerating Factor Graph Inference via Abstraction and Recovery

Yuzhou Cheng, Tom Yates, Ignacio Alzugaray +3

Gaussian Belief Propagation (GBP) is a distributed inference algorithm that passes messages in graphical models, making it attractive for scalable spatial intelligence. However, we…

cs.CV2025

KV-Tracker: Real-Time Pose Tracking with Transformers

Marwan Taher, Ignacio Alzugaray, Kirill Mazur +2

Multi-view 3D geometry networks offer a powerful prior but are prohibitively slow for real-time applications. We propose a novel way to adapt them for online use, enabling real-tim…

cs.CV2025

ACE-SLAM: Scene Coordinate Regression for Neural Implicit Real-Time SLAM

Ignacio Alzugaray, Marwan Taher, Andrew J. Davison

We present a novel neural RGB-D Simultaneous Localization And Mapping (SLAM) system that learns an implicit map of the scene in real time. For the first time, we explore the use of…

cs.CV2024

PixRO: Pixel-Distributed Rotational Odometry with Gaussian Belief Propagation

Ignacio Alzugaray, Riku Murai, Andrew Davison

Images are the standard input for most computer vision algorithms. However, their processing often reduces to parallelizable operations applied locally and independently to individ…

cs.CV2024

Fit-NGP: Fitting Object Models to Neural Graphics Primitives

Marwan Taher, Ignacio Alzugaray, Andrew J. Davison

Accurate 3D object pose estimation is key to enabling many robotic applications that involve challenging object interactions. In this work, we show that the density field created b…