For Students
We welcome motivated students who are interested in pursuing their thesis or project in the field of computer vision.
Open Student Theses:
Deep Learning for Sorting and Damage Detection in Second-Hand Garments
Prolonging the life cycle of garments reduces the environmental impact of textile production and consumption. Efficient and automated systems for large-scale sorting and damage detection of second-hand clothes enable reuse, resale, and recycling in the fashion industry. This project applies computer vision and deep learning approaches to develop a fully automated system that identifies and separates reusable garments at an industrial scale, contributing to the reduction of textile waste and the conservation of resources.
Bachelor Thesis / Seminar Project / Master Thesis
Taken or Completed Student Theses:
Road User Trajectory Consistency in Multi-View Surveillance Systems
This project aims to advance traffic safety for vulnerable road users through the integration of multi-camera surveillance systems and supporting data-driven Smart City planning.
Bachelor Thesis / Seminar Project
Multimodal Domain Adaptation for Enhancing Airplane Detection and Tracking
This project aims to enhance airplane detection and tracking in surveillance videos across various airport environments by integrating multiple information cues, such as radar data, textual descriptions, tower communications, and more.
Bachelor Thesis / Seminar Project / Master Thesis
Towards Robust Human Pose Estimation on Noisy ToF Sensor Data
This project focuses on understanding the performance of black-box models for human pose estimation on noisy depth data acquired from Time-of-Flight (ToF) systems.
Bachelor Thesis / Seminar Project / Master Thesis
Pedestrian Attention and Risk Behavior at Urban Intersections
This project focuses on assessing traffic risks through pedestrian behavior analysis, leveraging the integration of multi-camera surveillance systems. Is the pedestrian aware of an approaching vehicle? Do distractions such as looking at a smartphone or wearing headsets reduce situational awareness?
Bachelor Thesis / Seminar Project