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Framework for Analysis and Identification of Nonlinear Distributed Parameter Systems Using Bayesian Uncertainty Quantification Based on Generalized Polynomial Chaos
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In this work, the Uncertainty Quantification (UQ) approaches combined systematically to analyze and identify systems. The generalized Polynomial Chaos (gPC) exp
Image-Based 3D Reconstruction of Dynamic Objects Using Instance-Aware Multibody Structure from Motion
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"This work proposes a Multibody Structure from Motion (MSfM) algorithm for moving object reconstruction that incorporates instance-aware semantic segmentation a
Video-to-Video Face Recognition for Low-Quality Surveillance Data
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The availability of video data is an opportunity and a challenge for law enforcement agencies. Face recognition methods can play a key role in the automated sea
Deep Learning based Vehicle Detection in Aerial Imagery
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This book proposes a novel deep learning based detection method, focusing on vehicle detection in aerial imagery recorded in top view. The base detection framew