Master Theses – In Progress

  • Comparing Neural Networks with Classical Approaches for Video Complexity Modeling
    Supervisor: Lena Eichermüller, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 01.09.2025
  • Sparse-to-Dense Radar Point Clouds Using Diffusion Models 
    Supervisor: Hussian Azhar, M.Sc.
    Faculty: Prof. Dr. Vasileios Belagiannis
    Begin: 15.08.2025
  • Spatiotemporally Consistent Video Generation by Explicit Dynamics Prediction
    Supervisor: Prof. Dr. Vasileios Belagiannis
    Faculty: Prof. Dr. Vasileios Belagiannis
    Begin: 01.08.2025
  • 3D Object-Level Explainability in SONAR Point Cloud Data
    Supervisor: Marina Ritthaler, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 01.08.2025
  • Estimation of Hardware Encoder Energy Based on Software Encoder for HEVC All-Intra Coding
    Supervisor: Diwakara Reddy Kadagathur Lakshmana, M.Sc. and Geetha Ramasubbu, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 15.07.2025
  • Flow-Matching-Based Trajectory Prediction in 2D Maze Environments
    Supervisor: Michele De Vita, M.Sc.
    Faculty: Prof. Dr. Vasileios Belagiannis
    Begin: 30.06.2025
  • A Simulation Framework to Evaluate the Impact of Color Filter Arrays on Reconstructed Color Image Quality
    Supervisor: Teresa Stürzenhofäcker, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 16.06.2025
  • Uncertainty Estimation for DETR-based 2D Object Detectors
    Supervisor: Prof. Dr. Vasileios Belagiannis
    Faculty: Prof. Dr. Vasileios Belagiannis
    Begin: 02.06.2025
  • DetailFlow Adaptation for High-Resolution Depth Estimation
    Supervisor: Amir El-Ghoussani, M.Sc.
    Faculty: Prof. Dr. Vasileios Belagiannis
    Begin: 01.06.2025
  • Analyzing the Impact of Training Data Characteristics on Learned Image Compression Models
    Supervisor: Alexander Kopte, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 26.05.2025
  • Coding of 3D Kinect Depth Video for Capturing Affective States
    Supervisor: Dat Thanh Nguyen, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 05.05.2025
  • Downsampling and Upscaling for Efficient Low-Bitrate 3D Point Cloud Compression
    Supervisor: Dat Thanh Nguyen, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 05.05.2025
  • Generic Feature-Loss Function for Video Coding for Machines
    Supervisor: Marc Windsheimer, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 02.05.2025
  • Time Series Forcasting with Foundation Models
    Supervisor: Prof. Dr. Vasileios Belagiannis
    Faculty: Prof. Dr. Vasileios Belagiannis
    Begin: 02.05.2025
  • Dynamic Equivalence of Power Systems Using Physics-Informed Neural Networks
    Supervisor: Prof. Dr. Vasileios Belagiannis
    Faculty: Prof. Dr. Vasileios Belagiannis
    Begin: 02.05.2025
  • Task-Agnostic Coding Using Omnipotent Video Features
    Supervisor: Marc Windsheimer, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 28.04.2025
  • Evidential Deep Learning for Pixel-Wise Out-of-Distribution Detection
    Supervisor: Marc Hölle, M.Sc.
    Faculty: Prof. Dr. Vasileios Belagiannis
    Begin: 01.04.2025
  • Modern Hopfield Networks for Out-of-Distribution Detection in Semantic
    Supervisor: Marc Hölle, M.Sc.
    Faculty: Prof. Dr. Vasileios Belagiannis
    Begin: 01.04.2025
  • Optimizing Hyperprior Networks in the CASH Architecture for Learned Image Compression
    Supervisor: Simon Deniffel, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 26.03.2025
  • Learning-Based Image and Video Compression for Thermography Data
    Supervisor: PD Dr.-Ing. Jürgen Seiler
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 02.12.2024