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- 2020
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Global localization of nano drone in an indoor environment
(2020) In Master’s Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark -
Real-world low-light image enhancement using Variational Autoencoders
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark -
JPEG-deblocking of Blood Cell Images using Deep Learning
(2020) In Master's Theses in Mathematical Sciences FMAM05 20202
Mathematics (Faculty of Engineering) Mark -
Skull Reconstruction Using Statistical Shape Models
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark -
Identification of Driving Scenarios and Driving Styles Using Machine Learning
(2020) In Master's Thesis in Mathematical Sciences FMAM05 20202
Mathematics (Faculty of Engineering) Mark -
Semi-supervised Lesion Detection via Image Restoration
(2020) In Master’s Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark -
Semantic and Instance Segmentation of Radar Point Clouds using Deep Learning
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark -
Anonymisation of Image Data Using Deep Learning
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark -
Detecting Offside Position using 3D Reconstruction
(2020) In Master's Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark -
Simultaneous Classification of Sets of Images Using Deep Learning and Clustering
(2020) In Master’s Theses in Mathematical Sciences FMAM05 20201
Mathematics (Faculty of Engineering) Mark