Thesis Projects

Open & Running Thesis Projects

Open thesis topics are regularly posted here . You need to log-in using your TU-ID In order to be able to access them.

If you are a TU Darmstadt student interested in doing a thesis project in computer vision and/or machine learning, please read our guidelines before contacting us.

Past Thesis Projects

  • Prototype-based Reasoning for Explainable Image Segmentation

    Paul Wagner

    2024

    Master Thesis

    Supervisors: Simone Schaub-Meyer, Dr. Sc., Robin Hesse, M.Sc.

  • Evaluating the Robustness of Object-centric Models of Visual Scenes

    Ruben Harlene

    2024

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Krishnakant Singh, M.Sc.

  • Interpretable Standard CNNs

    Sebastian Fastert

    2024

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Robin Hesse, M.Sc.

  • Deep Image Codec Control for Vision Models

    Christoph Reich

    2023

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Oliver Hahn, M.Sc.

  • Towards More Explainable Image Segmentation

    Max Zimmermann

    2023

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Robin Hesse, M.Sc.

  • Video Instance Segmentation using Mask R-CNN with DINO Features and Optical Flow

    Melda Eksi

    2023

    Master Thesis

    Supervisors: Simone Schaub-Meyer, Dr. Sc., Dustin Carrión, M.Sc.

  • Text conditioned Scene Video Synthesis Generation of Consecutive Views of Unbound Scenes using Diffusion Models

    Mario Nowak

    2023

    Master Thesis

    Supervisor: Simone Schaub-Meyer, Dr. Sc.

  • Refined Transformer-based Correspondence Estimation

    Julia Abels

    2023

    Master Thesis

    Supervisors: Simone Schaub-Meyer, Dr. Sc., Simon Kiefhaber, M.Sc.

  • Cross-Domain Semantic Segmentation with Adapters

    Ulla Scheler

    2022

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Jan-Martin Steitz, M.Sc.

  • Multimodal Context-Object Split Latent Spaces for Diverse Multi-Task Learning

    Konstantinos Papa

    2022

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Krishnakant Singh, M.Sc.

  • Exploiting Non-Local Dependencies for Image Restoration using Attribution Priors

    Eduard Zamfir

    2022

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Robin Hesse, M.Sc.

  • Quantifying Errors and Learning to Better Fail in Image Classification

    Steffen Kuchelmeister

    2022

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Jan-Martin Steitz, M.Sc.

  • PCA Encoding for Video Frame Interpolation

    Moritz Nottebaum

    2022

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Simone Schaub-Meyer, Dr. Sc.

  • Multimodal Data Augmentation for Image Captioning

    Oliver Hahn

    2022

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Shweta Mahajan, M.Sc.

  • Self-Supervised Active Learning for Semantic Segmentation

    Marcel de Boer

    2021

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Jannik Schmitt, M.Sc.

  • Optical Flow Estimation with Superpixels for High-resolution Images

    Lukas Goldschmidt

    2021

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Simone Schaub-Meyer, Dr. Sc.

  • Semi-Supervised Video Instance Segmentation

    Zhangjie Yang

    2021

    Master Thesis

    Supervisors: Prof. Stefan Roth, Ph.D., Nikita Araslanov, M.Sc.

  • Multi-Scale Value Iteration Networks for Panoptic Segmentation

    Sherwin Bahmani

    2021

    Master Thesis

    Supervisor: Prof. Stefan Roth, Ph.D.

  • Homography Estimation in the Realm of Deep Learning

    Robin Hesse

    2020

    Master Thesis

    Supervisor: Prof. Stefan Roth, Ph.D.