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University of Oxford
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Location-informed ReID can cut expert review needs by nearly 70% while boosting identification accuracy in challenging wildlife surveys.
Geospatial visual priors enable autonomous vehicles to anticipate driving scenarios, improving performance and safety even when sensor data is compromised.
Vehicle chassis shadows can be transformed into a powerful cue for accurately reconstructing the 3D geometry of nearby objects, even in challenging conditions.
