Personen

About

I am a researcher at Kempten University of Applied Sciences specializing in machine learning and computer vision in industrial processes. I am currently affiliated with the IMS and work on the ReLOOP project, in which we use reinforcement learning to optimize production systems that are visually observed.

Research interests

I am interested in solving complex, real-world problems that are challenging for traditional algorithms. I am particularly fascinated by reinforcement leaning because it allows algorithms to improve through a natural process of taking actions and receiving feedback, making it well-suited for dynamic environments.

How to reach me

• LinkedIn
• GitHub

Publications 

• Schmähling, T., Müller, T., Eberhardt, J., & Elser, S. (2024). Simultaneous Stereo Matching and Confidence Estimation Network. Journal of Imaging, 10(8), 198.
• Müller, T., Schmähling, T., Elser, S., & Eberhardt, J. (2024). Deep Learning for Generating Time-of-Flight Camera Artifacts. Journal of Imaging, 10(10), 246.
• Agrawal, A., Müller, T., Schmähling, T., Elser, S., & Eberhardt, J. (2023, October). RWU3D: Real World ToF and Stereo Dataset with High Quality Ground Truth. In 2023 Twelfth International Conference on Image Processing Theory, Tools and Applications (IPTA) (pp. 1-6). IEEE.