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
Domain-Independent Meta-Learning for Image Classification
Di-Chung Cheng
2025
Bachelor Thesis
Supervisors: Prof. Dr. Sc. Simone Schaub-Meyer, Dustin Carrión, M.Sc.
Occlusion-Aware Video Frame Interpolation
Manuel Peters
2025
Master Thesis
Supervisors: Prof. Dr. Sc. Simone Schaub-Meyer, Simon Kiefhaber, M.Sc.
Depth Estimation from Omnidirectional Cameras using Deep Learning
Jannik Endres
2025
Master Thesis
Supervisors: Prof. Dr. Sc. Simone Schaub-Meyer, Oliver Hahn, M.Sc.
Comparative Analysis of Various Masks for Content-Adaptive Downsampling
Hannah Sebastian
2024
Bachelor Thesis
Supervisor: Prof. Dr. Sc. Simone Schaub-Meyer
Unsupervised Instance Segmentation via Lightweight Pseudo-Label Mining
Xinrui Gong
2024
Master Thesis
Supervisors: Prof. Stefan Roth, Ph.D., Oliver Hahn, M.Sc.
The Evaluation of Generative Models
Jasmin Plappert
2025
Master Thesis
Supervisors: Prof. Stefan Roth, Ph.D., Krishnakant Singh, M.Sc.
Prototype-based Reasoning for Explainable Image Segmentation
Paul Wagner
2024
Master Thesis
Supervisors: Prof. Dr. Sc. Simone Schaub-Meyer, 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: Prof. Dr. Sc. Simone Schaub-Meyer, 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: Prof. Dr. Sc. Simone Schaub-Meyer
Refined Transformer-based Correspondence Estimation
Julia Abels
2023
Master Thesis
Supervisors: Prof. Dr. Sc. Simone Schaub-Meyer, 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
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., Prof. Dr. Sc. Simone Schaub-Meyer
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., Prof. Dr. Sc. Simone Schaub-Meyer
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
