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Theses at the GET Lab

Overview of theses at the GET Lab:

Below is a list of topics for theses which have been assigned in the GET Lab. The titles refer to the abstract of the respective work.

Legend:


Year:

Bachelor's Theses:

finished Amanuel Aslan (2022)
Anpassung und Erweiterung eines Verfahrens zur Vorverarbeitung binärer Kantenbilder
inprogress Marc Leineke (2022)
Auswahl und Implementierung aktueller Verfahren zur automatischen Erstellung ansichtenbasierter Objektrepräsentationen
inprogress Sarah Neugebauer (2022)
Extraktion von Objektkonturen aus Regionensegmentierungen

Master's Theses:

inprogress Pranav Avekar (2022)
Goal Oriented Action Planning
inprogress Sarim Charania (2022)
Precise Object Handling using Visual Feedback
inprogress Dheeraj Rajashekar Poolavaram (2022)
Deep Learning based Scale Estimation for Local Image Features
finished Asish Kumar Shukla (2022)
Efficient 3D Human Pose Estimation on Mobile Devices
finished Shivaram Goutham Suresh (2022)
Autonomous Exploration Using 3D Maps Semantically Augmented By Deep Learning
inprogress Pranav Pravin Tondgaonkar (2022)
Deep Learning-based Object Recognition using Invariant Contour Features
finished Marvin Westerholz (2022)
Mobile Robot Positioning for Optimal Object Interaction
finished Qinyuan Yang (2022)
CNN Training for Detecting Curvature Extrema of Object Contours in Real Images