We are teaching the following courses:

Higher Level Computer Vision (CS 646)

Image Processing (CS 647)

Generative Computer Vision (CS 668)

Reinforcement Learning (IE 695)

Seminar: Computer Vision (CS 717)

If you are interested in writing a seminar, Bachelor or Master thesis with us, please feel free to contact us. The list below represents a highly incomplete set of the topics currently offered by our group, talk to us for more topics and additional information. Your own ideas and interests are welcome as well.

• Using uncertainties to improve panoptic segmentation (contact: Shashank)
• Optical Flow NeRFs (contact: Prof. Dr.-Ing Margret Keuper)
• Compressing LLMs for Edge Devices (contact: Shashank​​​​​​​)
• Structured Pruning of Vision Models (contact: Shashank​​​​​​​)
• Zero Cost Proxies for evaluating Optical Flow Estimation methods (contact: Shashank​​​​​​​)

• Team Project: Julian Yuya Caspary, Luca Schwarz and Xinyan Gao: FLOWBENCH: A ROBUSTNESS BENCHMARK FOR OPTICAL FLOW ESTIMATION. November, 2024
• Team Project: Jonas Jakubassa, Simon Kral, and Ruben Weber: DetecBench: A Robustness-Aware Benchmarking Tool For Object Detection. December, 2024
• Team Project: David Schader, Nico Sharei, and Mehmet Ege Kaçar: SemSegBench: Robustness-Aware Benchmarking Of Semantic Segmentation. December, 2024
• Team Project: Amaan Ansari, Annika Dackermann, and Fabian Rösch: DispBench: A Robustness Evaluator For Disparity Estimation. December, 2024