Pavlo Borodych

National University of Civil Protection of Ukraine

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About

Pavlo Borodych is a researcher focused on advancing computer vision, particularly in the domain of aerial imagery analysis. His key research areas include object detection and recognition using deep learning, with a specialized emphasis on processing photographs captured by unmanned aerial vehicles (UAVs). Borodych’s major contribution lies in improving models for object recognition in aerial photographs, addressing the critical challenge of accurately identifying objects from elevated, often complex perspectives. His most-cited work, "Improvement of the model of object recognition in aero photographs using deep convolutional neural networks" (2021), has garnered 12 citations, reflecting its relevance in the field. This research enhances the performance of deep convolutional neural networks for detecting and recognizing objects in UAV-captured images, a task vital for applications in surveillance, agriculture, and environmental monitoring. By refining these models, Borodych helps bridge the gap between theoretical computer vision and practical deployment in real-world aerial scenarios. His work is particularly notable for tackling the unique distortions and scale variations present in aerial views, contributing to more robust and reliable autonomous systems.