Research Internships – In Progress

  • Improving Temporal Prediction for Learning-Based Wavelet Video Coding
    Supervisor: Anna Meyer, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 06.11.2023
  • Evaluation of Upsampling Methods for Screen Content Images
    Supervisor: Hannah Och, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 14.06.2023
  • Power Consumption Analysis of Video Conferencing Applications
    Supervisor: Dr.-Ing. Christian Herglotz
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 15.4.2022
  • Comparison of the Resampling Quality for Non-Perspective Image Formats
    Supervisor: Viktoria Heimann, M. Sc., Andy Regensky, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 01.12.2021
  • Postprocessing for mask-based speech enhancement
    Supervisor: Annika Briegleb, M.Sc.
    Faculty: Prof. Dr.-Ing. Walter Kellermann
    Begin: 15.11.2021
  • Combining Frequency-Selective Image Resampling with a Deep Neural Network for Non-Regular Image Interpolation
    Supervisor: Viktoria Heimann, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 02.11.2021
  • An Overview of the State-of-the-Art in 360-Degree Image and Video Stitching
    Supervisor: Andy Regensky, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 25.10.2021
  • Investigation of a Rendering Pipeline for the Automatic Generation of Training Data for Checkerboard Segmentation
    Supervisor: Andy Regensky, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 25.10.2021
  • Analyse der Kompressions- und Komplexitätseffizienz von Videocodecs
    Supervisor: Matthias Kränzler, M.Sc.
    Faculty: Prof. Dr.-Ing. André Kaup
    Begin: 31.05.2021
  • Dynamical Variational Autoencoders for Generative Modeling of Non-Stationary Power Spectral Densities
    Supervisor: Thomas Haubner, M.Sc.
    Faculty: Prof. Dr.-Ing. Walter Kellermann
    Begin: 10.05.2021
  • Few-shot Learning for Bearing Fault Detection
    Supervisor: Matthias Kreuzer, M.Sc.
    Faculty: Prof. Dr.-Ing. Walter Kellermann
    Begin: 18.01.2021