Classification of Visual Data with Unreliable Annotations: a Real Case in the Fashion Domain

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Image classification is a fundamental Computer Vision task that has become more relevant in our current information-driven society. Despite the recent leap forward in the field brought by deep learning approaches, we identify two main challenging problems that are still unresolved and are currently active research topics: multi-label image classification and classifying in the presence

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Vision-based control of Unmanned Aerial Vehicles

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This thesis proposes novel vision-based controllers for the guidance of Unmanned Aerial Vehicles (UAVs). It considers scenarios involving both single and multiple vehicles. For the case of a single-vehicle, novel Image-based visual servo control (IBVS) approaches are proposed for both fixed-wing and vertical take-off and landing (VTOL) UAVs operating in urban or congested environments. Navigation

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